STUDY
EPRS | European Parliamentary Research Service
European Added Value Unit
PE 558.773 - September 2015
Bringing transparency,
coordination and
convergence to
corporate tax policies
in the European Union
I - Assessment of the magnitude of
aggressive corporate tax planning
PE 558.773 1
Bringing transparency, coordination
and convergence to corporate tax
policies in the European Union
Part I: Assessment of the magnitude of
aggressive corporate tax planning
Research paper
by Dr Robert Dover, Dr Benjamin Ferrett, Daniel
Gravino, Professor Erik Jones and Silvia Merler
This study has been written at the request of the European Added Value Unit of the
Directorate for Impact Assessment and European Added Value, within the Directorate-
General for Parliamentary Research Services (DG EPRS) for the European Parliament’s
Committee on Economic and Monetary Affairs (ECON) in relation with the legislative
own-initiative Report of Co-Rapporteurs Luděk Niedermayer and Anneliese Dodds,
MEPs.
Abstract
This paper assesses the loss of tax revenue to the EU through aggressive corporate tax
planning to be around 50-70 billion euro per annum. On an assumption of no base from
sources other than profit shifting, then this figure jumps to 160-190 billion euro. The
paper presents the methodology used and the country-by-country calculations on
which these figures are based. It describes the common tools used in aggressive
planning, and the impacts these have on tax revenue, concluding with an assessment of
the inefficiencies created by individual tax arrangements for large multinational
companies in the European Union.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 2
AUTHORS
This study has been written by Dr Robert Dover, Dr Benjamin Ferrett, Daniel Gravino,
Professor Erik Jones and Silvia Merler, at the request of the European Added Value
Unit of the Directorate for Impact Assessment and European Added Value, within the
Directorate-General for Parliamentary Research Services (DG EPRS) of the General
Secretariat of the European Parliament.
RESPONSIBLE ADMINISTRATORS
Risto Nieminen, Stanislas de Finance, European Added Value Unit of the Directorate for
Impact Assessment and European Added Value, within the Directorate–General for
Parliamentary Research Services of the Secretariat of the European Parliament.
To contact the Unit, please email EPRS-EuropeanAd[email protected].eu
LINGUISTIC VERSIONS
Original: EN
This document is available on the internet at: www.europarl.eu/thinktank
DISCLAIMER
The opinions expressed in this document are the sole responsibility of the authors and
do not necessarily represent the official position of the European Parliament.
Reproduction and translation for non-commercial purposes are authorized, provided
the source is acknowledged and the publisher is given prior notice and sent a copy.
Manuscript completed in September 2015. Brussels © European Union, 2015.
PE: 558.773
ISBN 978-92-823-7991-2
doi:10.2861/386200
QA-04-15-644-EN-N
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PE 558.773 3
Table of Contents
Executive summary ....................................................................................................................... 4
Chapter 1 – How much do aggressive corporate tax planning and tax evasion cost the
EU as lost tax income? What is the cost of corporate tax evasion and aggressive tax
avoidance at EU-level? .................................................................................................................. 7
1. Background ...................................................................................................................... 8
2. Country-by-country analysis ......................................................................................... 9
2.1. Shifting from national to European level, and consequential losses ...................... 11
3. Calculations of tax loss.................................................................................................. 13
3.1. Country-level indicators ............................................................................................... 13
Chapter 2 – What is the potential EU added value of addressing this lack of
transparency, coordination and convergence at EU level? .................................................... 17
1. Background .................................................................................................................... 17
2. Definition of tax avoidance .......................................................................................... 18
2.1. Theoretical background ................................................................................................ 18
3. Income shifting .............................................................................................................. 19
3.1. The relative advantages of common and separate tax jurisdictions....................... 25
3.2. Structural considerations.............................................................................................. 26
Chapter 3 – Macro-economic impact at single Member State level. What are the
channels through which spillovers operate? What are the spillover effects, within as
well as outside of the EU?........................................................................................................... 29
1. Background .................................................................................................................... 30
2. The net-effect of spillover activities ............................................................................ 30
2.1. Base spillovers through relocation .............................................................................. 32
2.2. Base spillovers through profit shifting ....................................................................... 32
2.3. Strategic spillovers......................................................................................................... 33
Chapter 4 – Do tax deals lead to collective (in)efficiency? ..................................................... 34
1. Background .................................................................................................................... 34
2. Inefficiencies................................................................................................................... 35
2.1. Organisational inefficiency........................................................................................... 35
2.2. Productive inefficiency ................................................................................................. 35
2.3. Informational inefficiency ............................................................................................ 35
2.4. Inefficient public goods provision............................................................................... 36
2.5. Summary of inefficiencies ............................................................................................ 36
References ..................................................................................................................................... 37
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 4
Executive summary
Aggressive tax planning and tax avoidance are the ostensibly legal practices of working
within a tax code, but using often sophisticated business and accountancy practices to
minimise a company’s tax liability. By contrast, tax evasion is the illegal practice of partial
or non-payment of taxes due. Presented like this, the two broad concepts of evasion and
avoidance appear as a binary. This is illusory: frequently aggressive tax planning is
prosecuted by tax authorities, and it becomes a matter for courts to decide whether the
practices were merely aggressive or in breach of the legal code. Similarly, it is for tax
authorities and legislators to work together to refine their systems and dispositions
towards prosecution. There is therefore much in the way of interpretation in this
public policy area.
We estimate that revenue losses for the EU as a result of corporate tax avoidance could
amount to around 50-70 billion euro, representing the sum lost to profit shifting. We
think this figure represents a lower-end estimate of lost revenue. If, however, we include
other tax regime issues, such as special tax arrangements, inefficiencies in collection and
other practices, we estimate that revenue losses for the EU due to corporate tax avoidance
could amount to around 160-190 billion euro, again a conservative estimate. We have
assessed the corporate income tax efficiency to be 75 per cent. This contrasts with the
IMF’s assessment of 86 per cent. The data and calculations used are provided in the
annexes to this report. These percentage figures do not represent the amounts that could
be expected to be recovered by the various tax authorities. A certain percentage of these
sums would be excessively expensive or technically difficult to collect, and would thus
remain uncollected. Similarly, our calculations do not include estimates for activities
within the shadow economy (which would themselves amount to evasion) that, if
factored in, would add substantially to these figures.
Our assessment is that if a complete solution to the problem of base erosion and profit
shifting were available and implementable across the EU, it would have an estimated
positive impact of 0.2 per cent of the total tax revenues of the Member States. The Annual
Macroeconomic Database of the European Commission (AMECO) calculates that the total
tax revenues collected over the EU as a whole were 5.74 trillion euro in 2011 (which is the
latest year for which such figures are available). This means a comprehensive solution
would add another 11.5 billion euro in revenues. While we believe that the calculation
on which this estimate is based is robust, we also believe that this figure is likely to be at
the lower end of what could reasonably be expected to be recovered through EU-level
regulation.
There is considerable empirical evidence that the Member States engage in strategic
competition when comes to setting taxes (essentially by adjusting the effective rate) and
to recovery practices (the latitude afforded to businesses in complying with the tax code).
Nonetheless, there are divergent views within the academic literature as to whether such
competition exists, and what impact it has if it does. Compounding the effects of this
empirically observable competition are the substantial differences in the published
estimates for lost tax revenue. These differences are the result of the absence of accepted
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PE 558.773 5
benchmarks for assessment, and of the radically different methodologies used by the
various governmental, academic and private accountancy institutions making the
assessments. For example, the most common and largest difference between
methodologies is the inclusion or not of tax allowances (for capital investment or staff
development) in the calculation of lost tax revenue; such inclusions serve to inflate the
stated calculation of tax revenue ‘lost’. Nevertheless, it would be useful to have, at EU
level, a coherent conceptual framework for building consistent and reliable benchmarks
to be used when assessing the impact of aggressive tax planning and tax avoidance
across the Member States and the EU. This would provide a firmer platform on which to
assess the different tax systems and rules prevalent across the EU, and in reducing the
opacity in the tax systems and arrangements. This opacity is fuelling strategic
competition among the Member States, and is reducing the effective tax rates levied on
businesses operating in the EU.
The reduction in ‘effective tax rates’ has a positive correlation with attracting foreign
direct investment (FDI). It does have to be recognised, however, that some forms of FDI
do not amount in a net gain to the recipient country, and that other forms (such as long-
term loans) are only weakly linked to FDI. Some studies have suggested that the
reduction in effective tax rates has similarly resulted in a reduction in government
investment in public services. These studies are highly contested and often do not take
into account the natural fluctuations contained within the economic cycle. The presence
of such studies may suggest that there is only a slight positive correlation between
reducing ‘effective tax rates’ and attracting FDI.
There is some evidence that businesses effectively pass on increased business taxes
through wage negotiations. The evidence is interesting because it also suggested that
wages did not rise, but that employment levels dropped. One academic study found that
once the cost of labour was factored in, every 1 euro reduction in corporation tax only
saved business 53 cents owing to an offset effect.
Aggressive tax-planning is increasingly occurring through spillovers. The main channels
through which spillovers occur are: base spillovers through relocation; base spillovers
through profit-shifting; and strategic spillovers (seen most commonly with highly mobile
capital and the registration of intellectual property). Currently the most effective
framework within which to discuss spillovers is via examples of individual countries: we
provide the contrasting examples of Germany, Ireland and the UK in the report.
As with revenue losses, measurements of ‘bottom-line’ figures for profit shifting are
complicated and contested. Those who have sought to measure profit shifting have only
been able to focus on the tax jurisdiction failing to recover funds, rather than on the
whole balance, which would necessarily include the recipient tax jurisdiction. As a
consequence, assessments of whole-picture net gains or losses are largely absent in
published assessments. As per the previous paragraph, we are able to compare and
evaluate the efforts of several Member States in this regard. We have made an assessment
that the net loss to the EU amounts to 50-70 billion euro per annum, a sum that would
justify the additional cost of EU-level regulation.
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The problem of the ease of reallocating taxable income via accounting mechanisms is
overstated. If reallocation via accounting were easy, there would be no benefit in
relocating real business activities to low-tax countries. We can observe empirically that
relocation is the predominant practice, and studies suggest that a 10 per cent reduction in
effective tax rate can produce a 30 per cent uplift in FDI, albeit with some caveats
regarding how the FDI is assessed and what its true impact is.
There is a great deal of tax competition between Member States, which has become
strategic and outward-facing in nature. Econometric data point to a trend whereby if one
country reduces its effective tax rate by 1 per cent, there is a commensurate downward
shift of 0.7 per cent among its key competitors. This means that lack of coordination at EU
level could lead to a race to the bottom. Accepting that the assessment of an effective tax
rate occurs ex post, further investigation is always required to validate the hypothesis
that a response occurs.
Individualised tax arrangements between major multinational enterprises and tax
authorities lead to four types of possible inefficiencies. These inefficiencies are the result
of both nominal and real effects of tax deals. They arise from aggressive tax strategies
based on transfer pricing and profit shifting, but they also arise from the impact of tax
deals on the location and pattern of investment.
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Chapter 1 – How much do aggressive corporate tax
planning and tax evasion cost the EU as lost tax income?
What is the cost of corporate tax evasion and aggressive
tax avoidance at EU-level?
Key findings
- We estimate that revenue losses for the EU due to corporate tax avoidance through profit
shifting are estimated to amount to around 50-70 billion euro.
- If, however, we assume no base from sources other than profit shifting, we estimate that
revenue losses for the EU due to corporate tax avoidance amount to around 160-190 billion
euro. This would encompass special tax arrangements, inefficiencies in collection and other
practices. The data and calculations used are provided in the annexes.
- It should be recognised that these figures do not represent the amounts that could be
expected to be recovered. Some percentage of these sums would be excessively expensive
or technically difficult to collect.
- We have assessed the corporate income tax efficiency to be 75 per cent. This contrasts with
the IMF’s assessment of 86 per cent.
- These figures do not include estimates for activities within the shadow economy (which
would themselves amount to evasion) that, if factored in, would add substantially to the
figures above.
- There is considerable empirical evidence that the Member States engage in strategic
competition when setting taxes and also in recovery practices. Compounding the effects of
this competition are the substantial differences in published estimates for lost tax revenues,
the result of an absence of accepted benchmarks for assessment and of the range of
radically different methodologies used by the various governmental, academic and private
accountancy institutions making the assessments. It should be noted that the difference
between tax evasion and tax avoidance is not a binary. There is a great deal of
interpretation between businesses, accountants, legislators and judicial authorities on these
questions.
- A common EU approach and methodology could help address the lack of operational
agreement between institutions. The relaunch of the Common Consolidated Corporate Tax
Base (CCCTB) could offer an effective solution to some of these problems.
Part I - Assessment of the magnitude of aggressive tax planning
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1. Background
On 10 May 2013 EurActiv, an online media on EU affairs, quoted European Council
President Herman Van Rompuy as saying that ‘every year around 1 trillion euro is lost in
EU Member States because of tax evasion and tax avoidance’. A similar figure is
presented on the European Commission’s Taxation and Customs Union website.
1
These
figures possibly reflect the findings of a report prepared by Murphy (2012).
2
A close look
at the report shows that, of the estimated loss of 1 trillion euro, 150 billion euro can be
attributed to tax avoidance (the minimisation of tax liability within the legal code),
resolvable through cost-effective regulatory and enforcement measures, whilst the
remaining loss of 850 billion euro is the result of tax evasion (the illegal non-payment or
under-payment of tax). While EU-level regulation can help mitigate the impact of
avoidance in a cost-effective way, only Member State-level responses (some of which will
be coordinated) can usefully address the problem of evasion.
That said, the reliability of the 1 trillion euro headline figure is open to question.
Although there is substantial evidence that tax avoidance and evasion impose significant
revenue losses, most economists agree that estimating those losses with any precision is a
challenge.
3
Existing estimates based on a macro approach (most of which are published
by NGOs) attract considerable public attention, but are difficult to interpret because of
the drawbacks associated with some of the measurement concepts. Moreover, many of
these published estimates include tax-reliefs (for capital investment, staff development
and so on) in the ‘lost revenue’. This is a highly questionable practice as these allowances
are designed to spur economic growth and, therefore, increase receipts in the medium
term. The inclusion of such allowances in these meta-figures also reduces the amount of
revenue that Member States could be expected to collect with more effective regulation
and collection. The calculations concerning what lost revenue can reasonably be
recovered rely on settled methodologies of calculating loss, and on the understanding
that only a proportion of lost revenues not attributed to allowances can affordably be
collected.
4
1
http://ec.europa.eu/taxation_customs/taxation/tax_fraud_evasion/a_huge_problem/index_en.htm.
2
Murphy, R. (2012), ‘Closing the European Tax Gap’, a report for the Progressive Alliance of
Socialists and Democrats in the European Parliament.
3
See, for example, Fuest, C. and Riedel, N. (2009), ‘Tax evasion, tax avoidance and tax expenditures
in developing countries: a review of literature,’ Report prepared for the UK Department for
International Development, Oxford: Oxford University Centre for Business Taxation; Hines, J.R.
(2014), ‘How serious is the problem of base erosion and profit shifting?’, Canadian Tax Journal, no. 2,
pp. 443-53; IMF (2014), ‘Spillovers in international corporate taxation’, IMF policy paper,
International Monetary Fund, May 2014; Maria Theresia Evers, Ina Meier, and Christoph Spengel
(2014), ‘Transparency in Financial Reporting: Is Country-by-Country Reporting suitable to combat
international profit shifting?’, ZEW Discussion Paper, http://ftp.zew.de/pub/zew-
docs/dp/dp14015.pdf.
4
An example of this essentially based on the same sets of data are the British Government’s
figure for the corporation tax gap in 2012-13 of GBP 3.9 billion, to be compared with Murphy’s
estimate of GPB 12 billion.
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Part of the problem is institutional and part is conceptual. Aggressive tax planning is a
legitimate practice in most countries. Moreover, firms argue that such aggressive tax
planning is not only part of their responsibility to shareholders, but also that it frees up
resources for investment and, thus, for economic growth. The sophistication of tax
planners in devising complex tax plans has largely been ahead that of government tax
authorities and the judiciary. Adding an extraterritorial dimension to tax planning has
allowed companies to shift their taxable profits to states where they will receive more
favourable tax treatment. A key characteristic of deliberative tax planning is the
reduction of current or future tax liabilities through strictly legal arrangements that can
be seen to contradict the intention behind the original law.
5
Aggressive tax planning involves the exploitation of technicalities and technical
weaknesses in a fiscal regime, or working with multiple tax regimes to identify loopholes,
gaps and terminological mismatches that allow for the reduction of tax liabilities. While
such practices let companies exploit gaps in international tax law, they are not illegal, but
rather ‘entrepreneurial’, with a political component in individual countries influencing as
to whether these practices are to be viewed as ‘acceptable’ within ethical, moral or
political frames of reference. There is no unitary or universally accepted distinction
between ‘acceptable’ and ‘aggressive tax planning.
6
The absence of such a unitary model
has allowed for a far greater quantum of activity to avoid tax across the Union than
would otherwise have been the case. In practical terms, a Europeanised response is the
only practical response to such issues (in terms of both organisation and of
implementation).
2. Country-by-country analysis
The most useful approach to begin an analysis of European tax loss is to use a country-
by-country analysis. Such analyses usually build on specific tax avoidance practices
rather than on an overview of phenomena such as aggressive corporate tax planning or
tax evasion. For example, according to Bach (2013), the annual revenue loss due to profit
shifting in Germany (explored later in conceptual terms) amounts to about
90 billion euro. ‘If the revenue from corporate taxation in Germany is divided by the
corporate income figures from the national accounts, companies’ average tax burden for
the period 2001 to 2008 is 21 per cent. This rate is considerably lower than the statutory
tax rates for this period (but is not out of line with prevailing business tax rates across the
developed world). The reason for this is that tax-reported profits were well below
macroeconomic profits. This tax gap in 2007 was something in the order of at least
120 billion euro, or almost five per cent of GDP. The high level of tax losses is significant.
By broadening the tax base as part of the corporate tax reform of 2008, the tax gap has
5
Adapted from European Commission (2012) Recommendation of 06.12.2012 on aggressive tax
planning,
http://ec.europa.eu/taxation_customs/resources/documents/taxation/tax_fraud_evasion/c_2012
_8806_en.pdf.
6
See Evers, Meier and Spengel (2014).
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 10
diminished significantly, but it was still at about 90 billion euro, or 3.7 per cent of GDP.’
7
That estimate is controversial. Heckemeyer and Spengel, for example, provide several
reasons to believe that Bach has overestimated the amount of the revenue loss; according
to their own calculations, the actual figure is likely to be less than 10 billion euro.
8
Another illustration comes from the United Kingdom. On the basis of a model presented
in his report ‘The Missing Billions’, Richard Murphy (2008) assesses that tax avoidance by
the largest 700 companies in the UK has cost the Inland Revenue some GBP 12 billion in
lost corporate income tax (CIT) (the current equivalent of circa 16.9 billion euro).
9
The
Oxford University Centre for Business Taxation (2012) criticised Murphy’s approach in
its report ‘The Tax Gap for Corporation Tax’. Specifically, the authors argued that
Murphy’s approach tells us more about the differences in tax and financial accounting for
corporate income and profits than it does about the absolute value of the revenue loss.
10
These illustrations reveal the importance of establishing reliable benchmarks and the
magnitude of financial implications of aggressive tax planning or tax avoidance. It is at
this point that the effects of the different institutional arrangements between nations and,
similarly, the individual national conceptual conventions become most apparent, as
radically different assessments and calculations are possible using the same evidence
base. The point is often made in the literature; suffice here to cite a recent description of
the methods used in popular estimation techniques: ‘For instance, taxable income or
respectively tax payments in absence of tax avoidance are approximated by using profits
from financial accounts multiplied by the statutory tax rate, company profits from
national accounts or foreign capital stocks multiplied by a deemed return and an average
tax rate. The differences between the actual tax payments or taxable profits and the proxy
for benchmark profits/tax payments in absence of tax avoidance can therefore not be
clearly attributed to profit shifting activity but rather capture conceptual differences
between the compared measures. This makes these figures difficult to interpret.’
11
7
The 2008 reforms came in several forms: the rate of corporation tax was reduced from 25 per cent
to 15 per cent, but there remained a ‘solidarity surcharge’ of 5.5 per cent. The average trade tax base
rate would now be 14 per cent (with local variations). The effective tax rate was estimated to be
29.8 per cent after the reforms. The tax cuts announced in the reforms were partly paid for through
reductions in allowances and deductions, but also with incentives for corporations to file in
Germany (indicating an assumption of increased tax revenues). In addition to the reduction of
corporate tax rates, there were new rules on interest-capping and change-of-control, and new
regulations for transfer-pricing. For the pricing estimate, see S. Bach (2013),
‘Unternehmensbesteuerung: Hohe Gewinne – mäßige Steuereinnahmen’, DIW Wochenbericht, pp. 3-
12.
8
J. H. Heckemeyer and C. Spengel (2008), ‘Ausmaß der Gewinnverlagerung multinationaler
Unternehmen empirische Evidenz und Implikationen für die deutsche Steuerpolitik,
Perspektiven der Wirtschaftspolitik’, Perspektiven der Wirtschaftspolitik, vol. 9(1), p. 54.
9
R. Murphy (2008), ‘The Missing Billions: The UK Tax Gap’, Trades Union Congress: London.
10
Michael P. Devereux, Judith Freedman and John Vella (2012), ‘The Tax Gap for Corporation Tax’,
Oxford University Centre for Business Taxation: Oxford.
11
Adapted from Clemens Fuest, Christoph Spengel, Katharina Finke, Jost Heckemeyer, Hannah
Nusser (2013), ‘Profit Shifting and Aggressive’ Tax Planning by Multinational Firms: Issues and
Options for Reform’.
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2.1. Shifting from national to European level, and consequential losses
As we shift from national to European level, we need to consider interactions across
national jurisdictions. There are a large number of research studies that assess the
significance of corporate tax avoidance and the impact that international tax incentives
have on avoidance strategies. For the purposes of this report, we have selected studies
that have passed a peer-review threshold and which can therefore be considered to have
been robustly challenged by the academic community. Huizinga and Laeven support the
assertion that the profits reported by European subsidiaries of multinational enterprises
(MNEs) often depend on specific tax incentives and on the potential for profit shifting
within the multinational group. Thus, European level action and regulation would serve
to reduce some of the incentives that currently exist for profit shifting within MNEs. As
Egger, Eggert and Winner reveal, the result is not only a redistribution of tax revenue but
also a reduction in overall tax payments, both in absolute terms and in relation to firms
that operation within only one national jurisdiction, owing to the effect that these tax
competition incentives have on prevailing tax rates. We suggest that there would likely
be reduced tax competition, and therefore reduced market-distorting incentives, were
European-level action to be introduced.
12
The challenge is to estimate this net revenue loss. Again, while there is substantial reason
to believe that aggressive tax planning takes place, very little is actually known about
what the impact of aggressive tax planning will be on net revenue loss, precisely because
it is neither in the interest of the businesses concerned, nor of their accountants, to reveal
the amount of corporate tax that has been avoided by taking planned steps. Recent
empirical research builds on extrapolations of the volume of profit shifting across
jurisdictions, and yet such approaches are likely to overestimate the gross losses within
countries and the net loss at European level, because of assumptions built into the
extrapolations that are based on figures of a small number of very large, listed MNEs.
13
Our research leads us to conclude that the relaunch of the Common Consolidated
Corporate Tax Base (CCCTB) in June 2015 offers an elegant solution to the complicated
issues pertaining to corporate taxation in the EU. If the Commission is able to conclude its
negotiations successfully, there is every reason to believe that that the CCCTB will reduce
the transaction costs for businesses operating across borders and, by having the force of
law (rather than the status of voluntary undertakings), also to minimise the opportunity
for them to avoid corporate taxes by exploiting gaps between individual national codes.
One empirical study that attempts to shed light on revenue losses is Hines recent
research report, published in 2014.
14
Some of the latest evidence suggests that the semi-
elasticity of income reporting is roughly 0.4, which means that a corporation that
operates in a jurisdiction with a 25 per cent tax rate, and that has the opportunity to
reallocate some of its taxable income to another jurisdiction that has a 15 per cent tax rate,
12
Ibid.
13
Ibid.
14
Hines, J.R. (2014). ‘How serious is the problem of base erosion and profit shifting?’, Canadian Tax
Journal, no. 2, pp. 443-53.
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PE 558.773 12
will typically arrange its financial and other affairs to reallocate 4 per cent of its income to
the lower-rate country. For various reasons, discussed below, even this 4 per cent figure
may overstate the potential tax revenue income by eradicating base erosion and profit
shifting, but, on its own terms, the potential tax revenue from 4 per cent of pre-tax
incomes of multinational corporations make a limited but valuable contribution to the
government finances of most countries.
15
On average, a member country of the Organisation for Economic Co-operation and
Development (OECD) in 2011 generated 8.8 per cent of its total revenue from taxes on
corporate profits, only a portion of which represented taxes on multinational
corporations. As an illustrative estimate, 2 per cent would be two tenths of 1 per cent of
tax revenue – even if one were to double or quintuple this figure, it would amount to less
than 1 per cent of tax revenue. From this standpoint, it appears that even a complete
solution to the problem of having the tax base erode and the profits shifted to another
jurisdiction were one available and implementable would have little direct impact on
government finances.
16
To support his arguments, Hines notes that:
- The fact that governments of countries with high tax rates collect considerable
revenue from taxing the profits of their resident multinational corporations is in
itself an indication that tax avoidance is neither as easy nor as cost-effective as some
fear it is. If firms were able to organise their affairs in ways that would easily
redistribute pre-tax earnings in high-tax locations to alternative locations with zero
or very low tax rates, then most would surely do so, and even those corporations
without an international business presence would quickly establish operations in
foreign locations with lower tax rates in order to reduce their tax obligations. That
multinational corporations still seek to shift a proportion of their profits indicates to
us that a new European regulatory regime should place appropriate costs on MNCs
and, thereby, price out a reasonable proportion of profit-shifting for tax avoidance
purposes.
- If it were easy to reallocate taxable income via accounting tools, there would be no
benefit in locating real business activities in low-tax countries. The profit-
maximising strategy would be to locate business activity wherever it generates the
highest pre-tax profits, and use financial or other means to reallocate taxable income
to an affiliate located in a zero-tax location.
- Further evidence is available from the location of foreign business activities. Studies
consistently show that multinational firms locate more employment, property, plant
and equipment in locations with lower tax rates, and less in locations with higher tax
rates. Some of this movement can, in some instances, be accounted for by a lower
cost base in the recipient nation.
- Finally, there is evidence from the use of tax haven affiliates by multinational
corporations. Tax havens are those countries that have the lowest tax rates, and so
are the destinations of choice (if one has unfettered choice) for profits to be
15
Ibid.
16
Ibid.
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PE 558.773 13
reallocated from high-tax countries. From 2002 to 2008, only 20 per cent of large
German multinational firms had tax haven affiliates. A majority of German firms did
not reallocate taxable income to tax havens, since they had no method of doing so,
given the absence of legal presence in those countries or the deterrent of prevailing
norms that mitigate against the practice.
Is it possible that corporate tax evasion and aggressive tax planning at EU-level is less
significant than generally assumed? In order to analyse this further, we need to unpack
the conceptual issues around tax evasion and tax avoidance and then generate some
preliminary estimates based on that conceptual reorganisation. Before doing so, however,
it is opportune to provide some rough estimates based on preliminary calculations.
3. Calculations of tax loss
Using public finance and national accounts data from Eurostat and the European
Commission’s publications on taxation trends in the EU, it is possible to obtain data on
corporate income tax (CIT) revenues, CIT rates and operating surplus (‘profits’) that can
be used to estimate the extent to which international tax planning may affect EU Member
States’ CIT revenues. Following the IMF’s report on spillovers, we propose a two-tier
approach.
17
3.1. Country-level indicators
At the first level, we have constructed country-level indicators of CIT efficiency (Eff
i
):
where Rev
i
is the actual CIT revenue of country i, Rate
i
is the CIT rate and Base
i
is the
‘theoretical’ tax base. The further Eff
i
lies below one (unity), the less efficient is the CIT
system in raising revenue in relation to the benchmark. This may reflect special tax
incentives and efficiency, but it also reflects profit shifting.
At the second level, to gain insight into which (and how much) Member States lose/gain
from profit shifting, we have constructed an indicator of ‘revenue without profit shifting’
(RWS
i
):
where is the average efficiency rate for the entire sample, which enables us to
eliminate (in a crude way) the base effects from sources other than profit shifting. The
17
International Monetary Fund (2014), ‘Spillovers in international corporate taxation’, IMF Policy
Paper.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 14
difference between ‘revenue without profit shifting’ (RWS
i
) and the ‘actual revenue’
(Rev
i
) could be interpreted as the loss/gain from profit shifting.
Importantly, it should be noted that there are three available measures of the operating
surplus (which is the measure for the theoretical tax base surplus being the sum of
money that governments’ seek corporation tax for), namely: (i) gross operating surplus
(GOS); (ii) net operating surplus (NOS) not adjusted for imputed compensation for self-
employed workers (who are treated for tax purposes as being external contractors and,
therefore, not subject to payroll taxes, pensions and so on); and (iii) NOS adjusted for
imputed compensation for self-employed workers.
This gross operating surplus (GOS) is somewhat more inclusive than the standard
conceptualisation of a corporate income tax base insofar as it does not allow for the
subtraction of asset depreciation, interest payments or other provisions, which commonly
include allowances to reduce corporation tax for capital investment or staff development,
or for other measures determined to be both a business and a social good. Moreover, tax
treatment of losses across periods of assessment can create differences between the GOS
that appears as accrued in national accounts, as opposed to the corporate income tax base
that is relevant for tax assessment purposes. So the simple equation of income versus
expenditure, which gives rise to an operating surplus, rarely equates to the actual surplus
that is declared after allowances and deductions are factored in. Hence, it is reasonable to
expect the efficiency (Eff
i
) of the tax system relative to this corporate income tax base to be
reduced (i.e. below 1, or unity). This is why we subtract depreciation from the GOS to
create a net operating surplus (NOS). Calculations using this figure should bring us
closer to the ‘true’ corporate income tax base. Like earnings before interest and tax, NOS
is closer to tax accounting than national income accounting. Debates about different
forms of accounting standards and methods formed part of Parliament’s work in the
previous parliamentary session as part of the work stream associated with the
Transatlantic Legislators’ Dialogue. In the accompanying MS Excel sheet, in which we
presents our calculations, there are estimates for NOS inclusive of compensation to self-
employed (Computations (NOS not adj. SE) (2)) and NOS adjusted for the compensation
to self-employed (Computations (NOS adj. SE) (2)). We seek to rely on the latter estimate
because our revenue data is ‘taxes on the income or profits of corporations’, which
excludes the income of self-employed persons, whose surplus above costs is taxed as
personal income rather than as business profit, which would therefore be subject to
corporation tax.
Bringing Transparency, Coordination and Convergence to corporate Tax Policies in the EU
PE 558.773 15
Estimates based on NOS adj. for SE yield the following CIT efficiencies:
As a benchmark, we think it is useful to compare these results to similar estimates based
on GOS presented by the IMF (2014).
18
The mean CIT efficiency is around 75 per cent (if
we estimate this over the period 2009-2013; see sheet (Computations (NOS adj. SE) (2)) in
red). (It should be noted that Spain, Hungary and Finland are excluded owing to a lack of
available data.) This is comparable to the figure given in footnote 134 in the IMF study,
whereby they report an average efficiency at 86 per cent. Note that while the implicit CIT
base is smaller than NOS, the variation between individual countries is large.
Estimates based on NOS not adj. for SE yield the following CIT efficiencies:
These results are similar to those presented in the IMF’s 2014 report.
18
IMF (2014), p. 66.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 16
We make two calculations for revenue losses. One is in line with IMF (2014) as described
above, whereby we calculate a variable called revenue without profit shifting (RWS).
Here we assume the average efficiency rate for the entire sample to be equivalent
to 75 per cent. Therefore estimated revenue losses for the EU due to tax avoidance from
corporate taxation could then amount to around 50-70 billion euro (see sheet
(Computations (NOS adj. SE) (2)) in blue). If, however, we assume that profit shifting is
the only source, then we estimate that revenue losses for the EU due to tax avoidance
from corporate taxation could amount to around 160-190 billion euro (see sheet
(Computations (NOS adj. SE) (2)) in green). This is close to the estimate of around
150 billion euro presented in Murphy (2012). However, we assume that this is likely to be
an over-estimate, given that the differences between ‘revenue without profit shifting’ and
the ‘actual revenue’ could be the result of other factors: (i) cross-country differences in
compliance and enforcement; (ii) strategic responses to the tax policies of other countries
(international tax competition); or (iii) differences between ‘assumed’ and ‘true’ tax base.
Bringing Transparency, Coordination and Convergence to corporate Tax Policies in the EU
PE 558.773 17
Chapter 2 – What is the potential EU added value of
addressing this lack of transparency, coordination and
convergence at EU level?
Key findings
- The establishment of a coherent conceptual, EU-wide framework for consistent and reliable
benchmarks for assessing the impact of aggressive tax planning and tax avoidance across
Member States and the EU would increase transparency.
- This would provide a firmer platform upon which to assess (a) the different tax systems and
rules prevalent across the EU, and (b) the revenue that is lost between Member States.
- Current opacity in the tax systems and arrangements across the EU is fueling strategic
competition amongst Member States, and is deteriotating the effective corporate tax rates.
- The local reduction in effective tax rates in individual Member States has a positive
correlation with attracting foreign direct investment.
- One study suggest that the competition in tax rates which has resulted in an approximate
reduction of 15 per cent in the statutory corporate tax rate across a sample of OECD
countries is associated with a reduction of 0.6-1.1 per cent of GDP in government
investment into public services, equating to 81-161 billion euro.
- The added value of transparency, coordination and convergence would come from the
potential to eliminate excessively low corporate income tax rates across all Member States,
thereby raising tax revenues and thus the potential for increased funding for public services.
1. Background
Corporate tax planning is understood to refer to the financial analysis carried out by
companies to achieve their goals in the most tax-efficient manner possible. Over recent
years, tax planning has received substantial media attention and is now once again at the
fore of the European policy debate in response to what some consider to be in some
cases – abusive tax avoidance by MNEs. Indeed, the Commission’s competition authority
has asked the governments of countries such as the Netherlands, Luxembourg and
Ireland to explain their tax system rulings and to give details on assurances given to
several specific companies, including Abbott Laboratories, Amazon, Apple, Facebook,
Google, Microsoft, and Starbucks.
19
As recently as March 2015 the Commission presented
19
Barker, A., Smyth, J. and Steinglass, M. (2013), ‘Brussels probes multinationals tax deals’,
Financial Times, 11 Sep. 2013; Smyth, J., Steinglass, M. And Houlder, V. (2013), ‘Looking into
sweetheart tax deals’, Financial Times, 11 Sep. 2013.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 18
new plans on a mandatory information exchange as a means of tackling corporate tax
avoidance and harmful tax competition.
20
Differing tax rates and systems across countries (see Box 1 below) have given MNEs the
opportunity to employ different strategies, allowing them to reduce their tax bills
significantly. There is ample evidence that MNEs have been arranging their affairs in a
tax sensitive or tax ‘efficient’ manner. They have done this in several ways, but the
strategies used can broadly be categorised into two groups:
(i) locating the enterprise in a jurisdiction with low tax rates; and/or
(ii) shifting earnings or profits to low-tax jurisdictions.
Group (i) is self-explanatory while group (ii) encompasses controlled transactions by
MNEs to shift earning across countries. For instance, they may shift income into low tax
jurisdictions from jurisdictions with higher taxes in order to minimise payments. In this
sense, MNEs are accused of engaging in tax avoidance and, in some cases, evasion.
2. Definition of tax avoidance
An important distinction must be made between tax planning and tax evasion. Tax
planning (or, if defined loosely, tax avoidance) is legal (and includes strategies such as
shifting net revenues to low-tax jurisdictions while taking deductions for loss in high-tax
countries, exploiting any inconsistencies across national legislative frameworks,
including reporting calendars that make it possible to minimise tax obligations by
delaying the repatriation of earnings), while tax evasion is illegal (and takes the form of
non-payment by making false or no declarations about income to tax authorities). The
remainder of these notes focus on tax avoidance.
Another important contribution regarding transparency could be the establishment of a
coherent conceptual framework for reliable benchmarks for assessing the impact of
aggressive tax planning and tax avoidance across Member States and the EU as a whole.
2.1. Theoretical background
The original treatment of tax competition focused on interactions across a wider economy
consisting of multiple identical tax jurisdictions. Theorists have focused on how
policymakers compete to attract capital – which is the most mobile productive factor. The
models they used were game-theoretical (Cournot-Nash models), and the conclusion
they drew was widely accepted: if you can tax those productive factors that are relatively
less mobile, like labour, then it makes no sense to impose taxes on those factors that can
20
European Commission (2015), ‘Proposal for a Council Directive amending Directive 2011/16/EU
as regards mandatory automatic exchange of information in the field of taxation’, COM(2015)0135,
2015/0068 (CNS).
Bringing Transparency, Coordination and Convergence to corporate Tax Policies in the EU
PE 558.773 19
move out of the jurisdiction easily. This is the so-called ‘zero tax result’, which implies a
‘race to the bottom’ in terms of corporate income tax rates.
21
Such early modelling of tax competition quickly moved into more extreme conclusions. If
it makes no sense to tax mobile factors, then it might be attractive to offer a negative tax
or subsidy to attract mobile factors (again, like capital) to move from one jurisdiction to
the next. The Belgian notional interest rate reduction (notionele interestaftrek) is a good
illustration of this.
22
Such subsidies do not need to be market distorting in order to be
effective. On the contrary, they could help overcome market failures by providing access
to information about investment opportunities, human capital, growth prospects and
other relevant factors. By creating incentives for firms to relocate across jurisdictions,
policymakers could be helping those firms to exploit unrealised opportunities. The net
result of such redistribution of activity would be to improve welfare in the aggregate.
23
Whether such arguments find empirical support is one question; whether they influence
policy is another. Economists dispute the welfare consequences of tax competition. They
tend to agree, however, that tax competition exists. Policymakers use both statutory tax
rates and firm-specific exemptions to attract highly mobile capital from high-value
businesses. There is more controversy over which jurisdictions are most actively engaged
in the competition. For example, smaller economies, which have a lower ability to tax
immobile factors because they have a smaller pool of more highly mobile labour, would
be expected to be more aggressive in seeking to create tax advantages. Hence, scholars
such as Bucovetsky and Wilson have constructed models of asymmetric tax competition,
where large countries with market power have positive corporate income taxes while
smaller countries either have no taxes or engage in some form of subsidy to attract
capital.
24
Such arguments have obvious implications for discussions about tax policy in
the ‘core’ and ‘periphery’ countries of the European Union.
3. Income shifting
21
Zodrow, George R., and Peter Mieszkowski (1983) The Incidence of the Property Tax: The
Bene
fit View versus the New View’, in Zodrow, George R. (ed.),
Local Provision of Public Services:
The Tiebout Model after Twenty-Five Years, Academic Press, New York, NY, pp. 109–129 ; Zodrow,
George R. (2006), ‘Capital Mobility and Source-Based Taxation of Capital Income in Small Open
Economies’, International Tax and Public Finance, vol. 13(2–3), pp. 269–294; Razin, Assaf, and Efraim
Sadka (1991) ‘International Tax Competition and Gains from Tax Harmonization’, Economics Letters
no. 37 (1), pp. 69–76.
22
For an explanation, see ‘Notionele interestaftrek: uniek en innoverend belastingvoordeel in
België,’ FOD Financien, http://financien.belgium.be/nl/ondernemingen/vennootschapsbelasting
/belastingvoordelen/notionele_interestaftrek/.
23
Gordon, Roger H., and A. Lans Bovenberg (1996), ‘Why is Capital So Immobile Internationally?
Possible Explanations and Implications for Capital Income Taxation.’ American Economic Review,
vol. 86(5), pp. 1057–1075.
24
Bucovetsky, Sam, and John D. Wilson (1991), ‘Tax Competition with Two Tax Instruments’,
Regional Science and Urban Economics, vol. 21(3), pp. 333–350; Baldwin, Richard, and Paul Krugman
(2004), ‘Agglomeration, Integration and Tax Harmonization’, European Economic Review, vol. 48(1),
pp. 1–23.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 20
Firm specific subsidies are one instrument in tax competition, deductions and other
favourable treatment regimes are another. Hence, the difference between statutory tax
rates (meaning overall) and marginal tax rates (meaning once deductions and other
favourable treatment measures are taken into account) is important in models for tax
competition. This distinction will also play a role in shifting income across jurisdictional
boundaries.
25
There is a large amount of empirical research suggesting that MNEs are
readily able to reallocate profits to respond to tax differentials through the use of transfer
pricing mechanisms, inter-company transfers and transactions, licensing fees and so on,
and there is evidence that this practice is becoming widespread.
26
Since the turn of the century, the focus in the literature has been on the increasing
importance of competition in statutory tax rates, due to the relative ease of shifting
profits. Marginal tax rates become less important to tax competition in this context.
Scholars like Devereux, Lockwood and Redoano (2008) and Haufler and Schjelderup
(2000) have constructed models for tax competition that demonstrate that lowering
statutory tax rates whilst increasing marginal tax rates can have desirable results,
particularly if the companies in question have an element of foreign ownership.
27
These
early models focused on income shifting through transfer pricing. Later studies were able
to replicate these results in models where companies were able to reallocate debt in a
straightforward way, and in models in which firms are differentially mobile, with the
more mobile firm generating higher profits.
28
Such findings are important not simply because they help us understand how tax
revenue is distributed across jurisdictions, but also because of the implications that this
redistribution of tax revenues has for the provision of public services. Infrastructure
appears to be particularly hard hit. Gomes and Pouget (2008) provide evidence (taken
from 21 OECD nations
29
over a period running from 1966 to 2002) that tax competition
has reduced infrastructure spending wherever statutory tax rates have come down.
25
Zodrow, George R. (2010) ‘Capital Mobility and Capital Tax Competition’, National Tax Journal,
vol. 63(4), pp. 865–902.
26
Altshuler, Rosanne, and Harry Grubert (2006), ‘Governments and Multinational Corporations in
the Race to the Bottom,’ Tax Notes, vol. 110(8), pp. 459–474; Altshuler, Rosanne, and Harry Grubert
(2002), ‘Repatriation Taxes, Repatriation Strategies, and Multinational Financial Policy’, Journal of
Public Economics, vol. 87(1), pp. 73–107; Hines, James R., Jr. (1999), ‘Lessons from Behavioral
Responses to International Taxation’, National Tax Journal, no. 52 (2), pp. 305–322.; Desai, Mihir, C.
Fritz Foley and James R. Hines, Jr. (2004), ‘Foreign Direct Investment in a World of Multiple Taxes’,
Journal of Public Economics, vol. 88(12), pp. 2727–2744.; Desai, Mihir, C. Fritz Foley, and James R.
Hines, Jr. (2006), ‘The Demand for Tax Haven Operations,’ Journal of Public Economics, vol. 90(3),
513–531.
27
Haufler, A and Schjelderup, G (2000), ‘Corporate tax systems and cross country profit shifting,
Oxford Economic Papers, vol. 52(2), pp.306-325; Devereux, Michael P., Ben Lockwood, and Michela
Redoano (2008), ‘Do Countries Compete over Corporate Tax Rates?,’ Journal of Public Economics, vol.
92(5–6), pp. 1210–1235.
28
Fuest, Clemens, and Thomas Hemmelgarn (2005), ‘Corporate Tax Policy, Foreign Firm
Ownership and Thin Capitalization,’ Regional Science and Urban Economics, vol. 35(5), pp. 508
526; Fuest, Clemens, and Becker, Johannes (2005), ‘Does Germany collect revenue from taxing the
normal return to capital?, Fiscal Studies, 2005, vol. 26(4), pp. 491-511.
29
Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Italy,
Japan, Netherlands, New Zealand, Norway, Portugal, Spain, Switzerland, UK, US.
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PE 558.773 21
Specifically, they estimate that the 15 per cent decline in statutory corporate income tax
rates across the OECD correlates with a reduction in public investment of 0.6–1.1 per cent
of gross domestic product (GDP).
30
OECD GDP was worth USD 42 trillion dollars in
2008; implying a reduction in public investment of between USD 250 billion and USD 462
billion that year alone. The latest figures available from the OECD puts GDP at a
USD 47.48 trillion
31
, which implies on the same extrapolation a reduction of USD 285-
522 billion.
Where there are significant possibilities for tax avoidance, there is less incentive for tax
competition across jurisdictions. MNEs that can avoid paying tax are unlikely to be
influenced by tax incentives. This means that relatively high tax rates are going to have
less influence on the distribution of economic activity across jurisdictions. It also means
that any distortions in accounting practices will result more from efforts at overall tax
avoidance than from efforts to shift profits or earnings from one jurisdiction to the next.
32
By implication, governments have to tackle two different challenges at once. First, they
have to eliminate the opportunities for firms to avoid tax payments through aggressive
tax planning and, second, they have to coordinate efforts across jurisdictions to ensure
that tax reforms do not create incentives for firms to move activity from one jurisdiction
to the next. Such efforts include the coordination of rules for the treatment of transfer
pricing, limits on tax deductions and other forms of special treatment, and treaties
designed to limit opportunities for avoidance. Much of this coordination takes place
within the context of the OECD.
33
30
Gomes, Pedro, and Francois Pouget (2008), Corporate Tax Competition and the Decline of Public
Investment,’ ECB Working Paper Series No. 928, European Central Bank, Frankfurt, Germany.
31
OECD, Gross Domestic Product as Stated in Dollars, June 2015 - http://www.oecd-
ilibrary.org/economics/gross-domestic-product-in-us-dollars-2014-5_gdp-cusd-table-2014-5-en
32
Zodrow, George R. (2010), ‘Capital Mobility and Capital Tax Competition.’ National Tax Journal,
vol. 63(4), pp. 865–902.
33
European Commission (1997), ‘Towards Tax Co-Ordination in the European Union: A Package to
Tackle Harmful Tax Competition’, COM (97)0495, http://eur-lex.europa.eu/legal-
content/EN/TXT/PDF/?uri=CELEX:51997DC0495&from=EN; OECD (1998), ‘Harmful Tax
Competition: An Emerging Global Issue’, Organisation for Economic Co-operation and
Development, Paris, France; OECD (2000), ‘Towards Global Tax Cooperation: Progress in
Identifying and Eliminating Harmful Tax Practices’, Report to the 2000 Ministerial Council Meeting
and Recommendations by the Committee on Fiscal Affairs, Organisation for Economic Co-
operation and Development, Paris, France; Nicodème, G. (2006) ‘Corporate Tax Competition and
Coordination in the European Union: What Do We Know? Where Do We Stand?, European
Commission, Economic Papers no. 250, June 2006,
http://ec.europa.eu/economy_finance/publications/publication718_en.pdf.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 22
Box 1: National corporate income tax systems
The two principles that frame most national corporate income tax systems are ‘source of
profits’ and ‘residence of business’:
- ‘Source of profits’ refers in broad terms to the location where investments are made
and activity takes place. This is usually ascertained by physical presence. Legislators
establish thresholds for use by tax authorities in assessing where labor and capital is
said to work, where sales or other transactions are made, and where profits should be
booked. A firm that crosses these thresholds is deemed to create a permanent
establishment and, hence, incur tax liabilities. These liabilities are exclusive where tax
regimes are territorial which is called the ‘exemption method’ in Europe. In other
words, activity should only be taxed in the jurisdiction that is regarded as its ‘source’.
- If ‘source of profits’ is based on physical presence, ‘residence of business’ is based on
legal status. A firm is ‘resident’ in that place where it has its primary activity. Once that
residence is established, it is possible for ‘home’ tax authorities to lay claim on the
firm’s worldwide income or earnings. Here too the taxation should be exclusive. The
challenge is to deal with any overlap in jurisdictions, otherwise firms would be
subjected to taxation twice (or more often) on the same activity. Legislators deal with
such potential overlap through the negotiation of bilateral tax treaties that establish
how tax obligations will be distributed across competing jurisdictions.
These two principles can be reconciled through treaty negotiation. The problem is that such
tax treaties have often been negotiated without coordination from one agreement to the
next. Hence there are significant complications across bilateral tax arrangements. Moreover,
these complications have increased as the ‘physical’ location of economic activity has
become more difficult to establish. As firms rely increasingly in intellectual property to
generate earnings, and on information technology to engage in transactions, the
establishment of physical presence or principal activity has become more difficult (IMF,
2014). Multinational enterprises are adept at exploiting any resulting ambiguities as part of
their tax planning. Hence national tax authories need not only to eliminate distortions across
bilateral tax arrangements, but also to improve their applicability in a new economic
environment.
Tax competition can take place through the implementation or enforcement of tax policy
as well as through the setting of statutory tax rates or the legislation of special tax
treatment. Hence, as Altshuler and Grubert argue, differential treatment of tax avoidance
(or tax planning) is another area of competition.
34
Where tax authorities believe that they
can maximise revenues or attract additional economic activity, they may facilitate the
efforts of MNEs to reduce their overall tax obligations through aggressive tax planning.
34
Altshuler, Rosanne, and Harry Grubert (2006) ‘Governments and Multinational Corporations in
the Race to the Bottom.’ Tax Notes, vol. 110(8), pp. 459–474.
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PE 558.773 23
Box 2: Profit shifting strategies
There are many tax avoidance strategies than can be discussed in this note. Here we focus
on the more important and popular practices.
- Transfer pricing
Transfer pricing has to do with the potential mispricing of natural resources or intellectual
property rights so that costs are assigned to high-tax jurisdicctions and revenues are
attributed to low tax jurisdictions. Affiliates of the same MNE trade amongst themselves and
charge a price for these transactions, which affects the allocation of the MNE’s income
across jurisdictions (see, e.g., Hines 2014). The transaction does not need to be related to
the principal activity of the firm. All that is required is a remunerated exchange between
subsidiaries. So long as the charge is recorded in the high-tax jurisdiction and the payment is
received in the low-tax jurisdiction, the overall tax liabilities of the multinational enterprise
will decrease.
The ‘double Irish’ is a good illustration of this practice. The ‘double Irish’ refers to a tax
avoidance strategy that uses payments between different units or subsidiaries within a
multinational corporation to shift income from a higher-tax jurisdiction to a lower-tax
jurisdiction. This is possible insofar as Irish tax law does not penalise or restrict transfer
pricing. This creates an incentive for MNEs to create two distinct entities, one that is resident
and taxed in Ireland and another that is resident in Ireland but taxed in another jurisdiction
with lower taxes. The entity taxed in Ireland will absorb the charges associated with the use
of the firm’s intellectual property and use those to reduce its Irish tax liabilities; the entity
taxed elsewhere will receive the royalties from the use of the firm’s intellectual property and
pay taxes on those revenues in the lower tax jurisdiction. As a result of this two-entity
structure, the overall obligations of the MNE are reduced.
Tax authorities are well aware of the perverse incentives that give rise to transfer pricing. In
response, they try to legislate requirements that intra-firm transactions should be made at
the prices that would apply if they were to take place between different firms or at one step
removed. Such requirements are more easily enforced for widely traded commodities than
they are for intellectual property rights and other intangibles. The challenge for legislators is
to come up with standards that are transparent and enforceable without creating new
distortions in the distribution of economic activity. The implicit cost-benefit calculation is
that the measures designed to eliminate transfer pricing should not do more damage than
the practice of tax avoidance or tax planning.
Once again, the challenge is to find an adequate measurement of the impact of tax
avoidance. Some researchers, like Clausing (2003) or Heckemey and Overesche (2013), find
evidence to suggest that there is significant abuse of intra-company transactions by US
multinationals for reasons related to transfer pricing; researchers like Swenson (2001), by
contrast, find that practices like transfer pricing are not very responsive to cross-country tax
differentials. This suggests that the overall impact of transfer pricing could be small.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 24
Box 2: Profit shifting strategies (cont.)
The challenge is to generalise across economic sectors. Transfer pricing in manufacturing is
likely to be less important than in areas where ‘arm’s length’ or one-step-removed
transactions are less likely to generate ‘objective’ market prices. This includes not only
intellectual property, but also much of the trade in business-to-business and financial
services.
- Location of intangible assets
Differences in corporate income tax rates can also have an impact on the ‘location’ of
intangible assets. For example, there is some evidence to suggest that firms will file for
patents more frequently in jurisdictions with lower corporate income tax rates. This will alter
not only the overall volume of patents filed in a given jurisidictions but also the relative size
of intangible assets on the balance sheets of firms within that jurisdicution (Karkinsky and
Riedel, 2012; Grubert 2003; Dischinger and Riedel, 2011).
- Intra-company debt shifting
The differential treatment of interest expenses can also have an impact on tax liabilities.
Hence an MNE could organise loans from subsidiaries or other entities in jurisdictions where
interest expenses are given a lower rate of deduction to subsidiaries or other entities in
jurisdictions where interest expenses have a higher rate of deduction. Provided that the
taxable revenues in the two places are equivalent, the result will be a reduction in overall tax
obligations. With entities in multiple jurisdictions, it would be possible to use loans at
different rates of interest across entities located in each of the jurisdictions in order to
minimise the tax obligations of the MNE as a whole. There is significant empirical support to
suggest this practice is widespread (De Mooij 2011).
- Deferral of repatriation of profits
MNEs can hold earnings in tax jurisdictions with low marginal or effective tax rates until
there is a good reason to repatriate those earnings. In doing so, the MNE can defer payment
of tax. If there is the prospect that the home country will introduce a tax holiday or some
other incentive for repatriation in the near future, then the deferral can lower tax
obligations overall. There is significant evidence that US MNEs engage in this practice
generally and that many benefited from the one-year low-tax repratriation window
introduced in 2005 (Dharmapala et al., 2011; Marples and Gravelle, 2011).
- Treaty shopping
A final consideration is that MNEs may take advantage of the differences between bilateral
tax agreements in order to minimise their obligations, such as their obligations to
shareholders. For example, it may make sense to pay dividends to shareholders in markets
where they will receive more favourable tax treatment. The result would be a reduction in
net tax accrual.
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PE 558.773 25
A second major area where action at EU level can add value is in the raising of important
themes for consideration both within and across Member States. Below are highlighted
some of those themes that have received most attention in the academic literature. They
are important as they set the stage for answering two final questions concerning the
relative advantage of common tax jurisdictions, and structural variables impact on
corporation tax.
3.1. The relative advantages of common and separate tax jurisdictions
A first theme is the relative advantages to be garnered from common and separate tax
jurisdictions. The question for the European Union is whether the creation of an
overarching tax jurisdiction would lead to a more even distribution of economic activity
across Member States (and hence a greater equalisation of their respective tax bases). This
question draws in part from the observation that while tax rates have declined across
Europe, the revenues collected via corporate income taxation have remained roughly
stable in consequence of the modest economic growth rates.
35
This stability may in part
be the result of greater coordination of favourable tax treatments (which create a
distinction between statutory and marginal tax rates), in part to a more even
redistribution of economic activity. Research by Timothy Goodspeed suggests that both
factors may have been at work across OECD countries in the late 1970s and early 1980s.
36
By extrapolation, greater efforts at fiscal integration and tax coordination within the EU
could offer significant welfare gains.
Other scholars (such as Genschel et al.) focus instead on the institutional context of tax
competition.
37
They present evidence to suggest that tax competition is stronger in the EU
than in the rest of the world as a result of the pressure generated via market integration
and enlargement. This pressure is not unmitigated, and the combination of coordination
measures undertaken within the Council of Ministers and the tax jurisprudence of the
European Court of Justice could potentially reduce it. Nevertheless, the net effect of
European integration has been the acceleration of tax competition across Member States.
Moreover, studies of EU tax policy show how the Commission has fostered the
emergence of two functionally differentiated policy arenas of closer market integration
and evolving areas of community law, dealing with different definitions of tax problems
and operating with modes of governance that suits the Commission’s own internal
logic.
38
This structure constrains the ability of European institutions to mitigate tax
competition among Member States. A more coherent European approach to tax policy
could generate additional welfare gains as a consequence.
35
Nicodème, G. (2006) op. cit.
36
Goodspeed, Timothy (1999), ‘Tax Competition and Tax Structure in Open Federal Economies:
Evidence from OECD Countries with Implications for the European Union’, ZEW Discussion Paper
no. 99-40.
37
Genschel, P., Kemmerling, A. and E. Seils (2011), Accelerating downhill: how the EU shapes
corporate tax competition in the Single market’, Journal of Common Market Studies, vol. 49( 3),
pp.585-606.
38
Kraemer, U. S. and C. M. Radaelli (2008), ‘Governance Areas in the EU direct tax policy’, JCMS
2008, vol. 46(2), pp.315-336.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 26
These issues are relevant to other major European projects such as the completion of the
internal market and the development of a European capital markets union. For example,
standard models suggest that the increase in capital mobility would lead to downward
pressure on corporate income taxes in the EU. Research by Krogstrup (2006) suggests that
there is some merit to this claim.
39
Such research also makes it possible to make a
quantitative assessment of the importance of tax competition pressures within the
internal market. Studies have found that the increase in capital mobility may have
reduced corporate taxation by as much as 20 per cent between 1980 and 2001 across the
EU. The result, while not a ‘race to the bottom’, suggests that incentives that remain for
MNEs to engage in avoidance strategies exist, and that these could be mitigated by cost-
effective regulation.
3.2. Structural considerations
A second theme relates to the relative ease with which firms or workers respond to
differences in tax rates depending on the situation, by which we mean large structural
variables such as country size, foreign ownership, patterns of incorporation and the
balance of power between capital and labour. For example, research by Huizinga and
Nicodème (2006) shows that large Member States are able to place higher taxes on capital
(as the mobile factor) than smaller Member States. The explanation, as introduced above,
is that firms are less likely to leave larger countries than smaller countries.
40
In a similar vein, Huizinga and Nicodème test whether national governments are able to
impose higher tax burdens on foreign owners of corporations. Here the assumption is
that foreign owners will pay a premium to invest (or maintain their investments) in
domestic markets. To test this hypothesis, they use firm-level financial data together with
a variable to measure foreign ownership for 21 European countries over the period 1996-
2000. What they find is that an increase in the foreign ownership share by 1 per cent
correlates with an increase in the average corporate income tax rate by 0.5-1 per cent. This
statistical finding suggests that national tax authorities have achieved some success in
charging a tax premium on foreign investors.
There are other variations in institutional context that warrant consideration. One of
these is the pattern of incorporation. In most countries, firms can choose from a menu of
different legal structures; as a consequence, multinational firms and domestic firms tend
to cluster around different legal forms with much domestic activity taking place
through varying forms of self-employment or other lower levels of incorporation. These
different organisational structures receive different tax treatment. Hence, it is necessary
to consider how these different tax treatments interact both within and across countries.
Egger et al. (2007) look at the interaction between personal and corporate rates of income
tax. Starting from the premise that domestic firms are more likely to face personal income
39
Krogstrup, S. (2006), ‘Are corporate taxes racing to the bottom, in the European Union?’
http://www.cer.ethz.ch/resec/sgvs/050.pdf.
40
Huizinga, H. and Nicodème, G. (2006), ‘Foreign Ownership and Corporate Income Taxation: an
Empirical Evaluation’, European Economic Review, vol. 50(5), pp.1223-1244.
Bringing Transparency, Coordination and Convergence to corporate Tax Policies in the EU
PE 558.773 27
tax while multinational firms face corporate income tax, their expectation is that the two
tax rates would behave differently across countries. What they find is that the pattern of
interaction is similar. Domestic tax authorities respond to foreign changes in both rates of
taxation corporate and personal. This finding was unexpected. National tax authorities
were expected to set personal income tax independently. The fact that personal income
tax rates interact across countries suggests that the scope for tax competition is wider
than just corporate income tax rates.
This cross-jurisdictional competition in terms of personal income tax rates should not be
taken to mean that labour is as mobile as capital. A further consideration, therefore, is the
extent to which MNEs shift the burdens of corporate income taxes onto the workforce.
There is some evidence that this is the effect. Arulampalam et al. (2012) used data from
more than 55 000 companies operating in nine Member States over a seven year period
(1996-2003). They looked for evidence of cross-country variation in tax liabilities after
controlling for the value-added of labour. What they found is that wage bills tend to vary
inversely with tax rates and that a 1 euro increase in corporate taxation results in a
0.49 euro decrease in pay-outs on wages. Indirectly, the non-mobile factor (labour) is
carrying almost one-half of the cost of taxation on the mobile factor (capital).
Firm responses
Firm responses to corporate income tax rates constitute a third set of themes for
consideration. The easiest place to start is within the MNE. Here the question is how
much variations in national tax regimes interact with the liability side of the balance
sheets of firms. Huizinga et al. speculate that a firm’s willingness to take on debt will vary
both with domestic tax rates and with any differences between domestic and foreign
taxes. What they find is that multinational firms have an incentive to shift their debt
burden onto entities operating in jurisdictions with relatively high corporate income tax
rates. These differences matter as multinationals have an incentive to shift debt to high-
tax countries. The predictions of the model are tested using a firm-level data for
European multinationals and their subsidiaries, combined with collected data on the
international tax treatment of dividend and interest streams. Empirical results show that
corporate debt policy indeed not only reflects domestic corporate tax rates but also
differences in international tax systems.
A second consideration is the volume of profit shifting. The expectation is that a
multinational will seek to minimise its tax burden across all jurisdictions within which it
operates. The precise strategy will depend both on the variation in tax regimes and on the
structure of operations. This is a more complex picture than the classical models
presented, and the implications are not always intuitive. For example, Huizinga and
Laeven built a model that focusses on the differentials across multiple jurisdictions and
then tested that model using detailed information about tax treatment coupled with firm-
level data. What they found is some evidence that firms will shift profits away from the
highest tax jurisdiction (the semi-elasticity is 1.43) and somewhat stronger evidence that
they will shift costs into the jurisdiction where they have the highest volume of activity
(the semi-elasticity is 1.65). The result is highly redistributive; most EU countries benefit
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 28
from tax revenue that might otherwise accrue to Germany. The overall impact on taxes
accruals, though, is less pronounced.
A third consideration is the structure of manufacturing investment. Here it is useful to
focus on the variation in effective marginal tax rates across different sectors of industry.
Such variation should necessarily take the mix of productive factors capital, labour,
energy into account. The presumption is that subtle differences in tax structures will
have an influence on the composition of manufacturing industry. Nevertheless, the
evidence suggests that this is not the case. Barrios et al. (2014) conduct a comprehensive
analysis of effective marginal tax rates across a range of countries, taking both sector-
specific considerations and the major factors of production into account.
41
They find little
evidence of the influence of tax policy on the sectoral composition of manufacturing. By
contrast, they find significant evidence that changes in the relative taxation of productive
factors can have an impact on firm strategy. The balance of taxation on labour and energy
is particularly important. Higher taxes on labour (or consumption) tend to have a larger
impact on a firm’s effective marginal tax rate than higher taxes on energy.
41
Barrios, S., Nicodème, G. and A.J. Sanchez Fuentes (2014), ‘Effective corporate taxation, tax
incidence and tax reforms: evidence from OECD countries’, European Commission Taxation
Working Papers, n. 45 2014, http://ec.europa.eu/taxation_customs/resources/documents/
taxation/gen_info/economic_analysis/tax_papers/taxation_paper_45.pdf.
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PE 558.773 29
Chapter 3 – Macro-economic impact at single Member
State level. What are the channels through which spillovers
operate? What are the spillover effects, within as well as
outside of the EU?
KEY FINDINGS
- Wide-ranging measurement concepts make arriving at ‘bottom-line’ figures a highly
contested and problematic activity.
- Those seeking to measure profit shifting have only been able to focus on tax jurisdictions
failing to recover funds rather than on the whole balance, which would include the recipient
tax jurisdictions. As a consequence, assessments of whole picture net gains or losses are
largely absent from the existing literature.
- Our assessment is that even if a complete solution to the problem of base erosion and profit
shifting were available and implementable, it would have an estimated impact of 0.2 per
cent of total tax revenues for governments. Whilst robustly arrived at, we think this
estimate underplays the amount of revenue that is recoverable through a cost-effective
regulatory response.
- The problem of the ease of reallocation of taxable income is overstated but does occur at
scale.
- The main channels through which spillovers occur are:
- base spillovers through relocation;
- base spillovers through profit-shifting; and
- strategic spillovers (seen most commonly with highly mobile capital and the registration
of intellectual property).
- Currently the most effective framework for discussing spillover is the comparison of data for
individual countries: we provide the contrasting examples of Germany, Ireland and the UK.
- There is a great deal of tax competition between states that has become strategic and
outward-facing in nature. Econometric data points to a trend whereby if one nation reduces
its effective tax rate by 1 per cent, there is a commensurate shift of 0.7per cent among key
competitor states. A collective response to understanding and benchmarking tax
competition and its impacts would serve to reduce the motivations for tax competition
between Member States.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 30
1. Background
Although the discussion in previous chapters suggests that countries tax revenues may
be impacted through several channels, concern is usually directed not at the location of
economic activities but at the location of taxable income contingent on economic
activities. As we have noted above, most economists concede that estimating aggregate
tax revenue losses due to tax avoidance and evasion remains elusive despite substantial
evidence that both practices are widespread.
42
Existing estimates based on a macro
approach (mostly published by non-governmental organisations)
43
have the merit of
attracting the attention of a wider public, but are difficult to interpret because of the
drawbacks related to measurement concepts. Thus, it is very difficult to arrive at ‘bottom
line’ numbers for the overall sums at stake. Many attempts have been made to arrive at a
single estimate of the extent of profit shifting. In assessing these and other estimates, it is
also important to remember that they often look at only one side of the story: one
country’s revenue loss may be offset, though only partly, by other countries’ revenue
gains. This is also the case for the IMF report, published in 2014.
2. The net-effect of spillover activities
We note that the IMF’s 2014 report finds a large impact from profit shifting. This is
contested by some academics who argue, via longitudinal studies, that the impact on
revenue collection is modest.
44
Whilst longitudinal studies serve a comparative purpose,
work addressing the situation that prevails today is more interesting and relevant. In
particular, more recent research suggests that there is a degree of elasticity in the
reporting of income by MNEs. Evidence suggests that companies doing business in high-
tax regimes will seek to shift at least 2 per cent of their profits into lower tax regimes, as a
matter of course. When viewed in this context, the potential recovery potential of just 2-
4 per cent of the pre-tax profit of large corporations is likely to have a limited impact on
government finances. We assess that this would amount to an estimated 0.2 per cent of
the total tax revenues of governments.
The large revenues that governments still are able to collect from multinationals would
seem to indicate that aggressive avoidance is neither straightforward nor especially cost-
effective. We assume that all large, listed businesses would register in low tax regimes
were it straightforward to reallocate profits made in high tax jurisdictions to low tax
jurisdictions (actually, there would be little point in doing so because a paper-exercise
would suffice). However, given that the practice still continues, we believe that cost-
effective, EU-level regulation has the potential to make a significant contribution to the
elimination of tactical avoidance strategies.
In the statistical analysis of a large number of cases, Ruud de Mooij (2008) found a strong
correlation suggesting that a 10 per cent reduction in the effective corporate tax rate
42
See, for example, Fuest and Riedel (2010), Hines (2014), IMF (2014), op.cit.
43
See, for example, Murphy (2012), op.cit.
44
Hines (2014), op.cit.
Bringing Transparency, Coordination and Convergence to corporate Tax Policies in the EU
PE 558.773 31
would result in up to a 30 per cent uplift in long-term foreign direct investment,
accepting as earlier in this report that making an assessment of FDI is complicated by
the myriad other factors that can effect it.
45
This is supported by findings presented in
other studies that show that multinational corporations locate more of their core business
activities in low-tax jurisdictions than one would expect given their business
requirements, providing further evidence of the influence that tax rates can have on
business decisions.
As pointed out above, there is some utility in examining the picture across country case
studies. Some interesting work by Dwenger explores how German businesses effectively
pass on increased business taxes through wage negotiation (specifically between 1998
and 2006).
46
The results of this study are particularly interesting as they suggest that
wages did not rise, but employment levels dropped. Dwenger found that once the cost of
labour was factored in, every 1 euro reduction in corporation tax only saved business
53 cents, owing to the offset effect.
In the UK, the finance department (HM Treasury) has produced evidence to show the
impact of the Computable General Equilibrium (CGE) model to the corporation tax
reductions announced since the change of government in 2010.
47
The coalition
Government, in an attempt to stimulate economic growth, reduced the headline rate of
corporation tax from 28 to 20 per cent (with the small profits rate being reduced from
21 to 20 per cent) over the life of the parliament. The Government assesses that this will
result in savings in the region of GBP 8 billion pounds a year for businesses. The
Treasury’s report makes the case that the reduction in the headline rates will actually
result in increased investment levels to the UK, and will also see an uplift in economic
activity that will, in turn, result in higher levels of employment and productivity, as well
as an increase in GDP of some 0.8 per cent, which equates to GBP 12.2 billion, itself a
much greater offset than the original cut. The Treasury have clearly sought to position
this policy in relation to the charge that such a reduction is ‘soft’ on business and that it
reduces the revenue pool from which to invest in public services; its analysis points to
something quite different.
In Ireland, where the level of corporation tax has been the source of European level
debate for some years, the Department of Finance published an impact assessment in
October 2014. Confirming the suspicions of the many critics of Irish business tax policy,
the Department of Finance’s report concluded that Ireland’s success in attracting FDI was
in large part the result of the business tax regime. When the Department of Finance
modelled alternative rates of corporation tax, it found that if it had adopted the European
average rate of 22.5 per cent, the number of non-Irish businesses investing in Ireland
45
de Mooij, R and Sjef Ederveen (2008), ‘Corporate tax elasticities: a reader’s guide to empirical
findings’, Oxford Review of Economic Policy, vol. 24(4), pp. 680-697.
46
Dwenger, N., Rattenhuber, P. and V. Steiner (2011), ‘Sharing the Burden: Empirical Evidence on
Corporate Tax Incidence’, F.U. Berlin Discussion Paper no. 19.
47
HM Treasury report (2013), ‘Analysis of the dynamics effect of corporation tax reductions’, The
Stationary Office: London.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 32
would have been halved over the period 2004-2012. Similarly, within this model, if it had
raised the 12.5 per cent rate to 15 per cent, some 22 per cent fewer firms would have been
attracted to invest in Ireland. The Irish case which is an outlier in the EU because of
how low its corporation rates are does demonstrate how price sensitive a peripheral
country is when engaged in tax competition and, indeed, how price sensitive foreign
firms are when choosing their destinations for tax planning purposes.
The effects that are felt in individual countries and to be clear, the majority of studies
are around individual countries invariably impact on third countries. This is what is
described as ‘spillover’. There are three broad types of spillover effect: 1) base spillovers
through the relocation of business out of one jurisdiction and into another; 2) the actual
impact of investment income flow into a jurisdiction with attendant questions around
securing public revenues; and 3) the strategic response of governments to the corporate
tax levies of another country (to use the examples above, one could hypothesise that the
UK Government lowered its corporation rate by some 8 per cent between 2010 2015
partly in response to the 12.5 per cent rate adopted by its near-neighbour, the Irish
Government). There will be other spillover effects on borrowing and exchange rates
affecting the relative economic fortunes of influential countries impacted positively or
negatively by spillovers.
2.1. Base spillovers through relocation
Businesses moving their operations into preferential tax jurisdictions present the most
visible, but also the most significant of spillover activities. The academic literature
suggests that relocation activity should meet with a corresponding effect in the recipient
and sending country. For those ‘losing’ businesses, the most natural response could be to
reduce the headline rate, but this is overly simplistic. To return to our UK and Irish
examples, the UK should not feel the need to over-respond to the Irish Government’s low
headline rate because the UK is a major economy and the impact of the relocation of
businesses to Ireland (a small economy) is unlikely to have a major impact on its ability to
attract FDI or recover tax revenues. The impact on large economies of responding to rate
reductions in smaller countries can be stark, with as before each percentage point
reduction being worth GBP 1 billion pounds to the UK exchequer when it cut its headline
rate. Taken across the EU area, where cuts of some 5 per cent have routinely been
observed during the same reporting period, the impact on the whole EU will be very
considerable indeed.
2.2. Base spillovers through profit shifting
Profit shifting relies on the juxtaposition of two or more tax codes in order to find ways of
exploiting possible gaps between them. In this scenario, the important factor is the ease
with which a company can shift profits. As the kind of information needed is
commercially sensitive, however, analysts are forced to employ a variety of much
rougher estimations and assessments (of the differences between tax rates and recovery)
in order to provide an approximation of the scale of the problem. The IMF, in its 2014
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PE 558.773 33
report, argues that the phenomenon of profit shifting is large, as is its impact on
governments setting rates.
As discussed above, European media outlets have reported extensively on the strategies
used by MNEs to shift profits to low-tax jurisdictions. There is now a thriving industry,
populated by non-governmental organisations, campaign groups and university scholars
to describe, and assess the impact of, this range of activities. One recent and prominent
example of this type of research is the collaborative investigation into the fast-food chain
McDonald’s, its profit-shifting practices and the impact of this on its business activity and
on the countries in which it does business.
48
The headline conclusion of the report was
that McDonald’s restructured its business in 2009 to facilitate the extraction of royalties,
amounting to billions of euros, from its European franchises. The particular techniques
that McDonald’s used were to relocate its main European headquarters from London to
Geneva (a lower-tax destination), to move royalty payments from its operational business
base to its franchising business located in Luxembourg (another low-tax jurisdiction) and
to open an additional office for franchise operations in Switzerland in order to take
advantage of a particular set of tax arrangements on intellectual property that existed
between the two locations.
The result of the changes to McDonald’s business structures so the report argues was
to radically reduce the amount of corporation tax the company pays in Europe. The
report assesses the value of this loss to European revenues to over 1 billion euro in the
four-year period 2009-2013.
While McDonald’s has been visibly highlighted by a coalition of campaign groups, there
is a large quantity of empirical evidence indicating that such practices are widespread,
even though the structures and payments used remain opaque. One might therefore
expect that the actual impact is larger than we have estimated here.
2.3. Strategic spillovers
As highlighted above, there is strong evidence that tax competition is occurring at
strategic level not just in Europe, but also between Member States and countries outside
of the EU area, particularly in Central Asia. Within OECD countries, Devereux and others
(2008) found that a 1 per cent decrease in the corporation tax rate of competitor nations
results in, on average, a 0.7 per cent reduction in response.
49
The result of spillover effects
will most keenly be felt – and exploited – by the most mobile forms of capital. It has been
found that there is greater sensitivity to headline rates, rather than to the effective rate of
tax, and this, in turn, suggests that governments are as highly sensitive to profit shifting
as they are to the classical concern of FDI.
48
EPSU, EFFAT, SEIU and War on Want (2015), ‘Unhappy Meal:
€1 Billion in Tax Avoidance on the
Menu at McDonalds’, Joint Report, 24 February 2015, Brussels.
49
Devereux, Michael P., Ben Lockwood, and Michela Redoano (2008), Do Countries Compete over
Corporate Tax Rates?’, Journal of Public Economics, vol. 92(5–6), pp. 1210–1235.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 34
Chapter 4 – Do tax deals lead to collective (in)efficiency?
KEY FINDINGS
- Individualised tax arrangements between major multinational enterprises and tax
authorities lead to four types of possible inefficiences. These are the result of both nominal
and real effects of tax deals. They arise from aggressive tax strategies based on transfer
pricing and profit shifting, but also arise from the impact of tax deals on the location and
pattern of investment.
- Individual arrangements alter the balance between intra- and inter-firm trading in ways that
interfere with the ability of multinational firms to minimise transaction costs (organisational
inefficiency).
- Other arrangements redistribute economic activities to allow enterprises to benefit from
favorable tax treatment at the expense of other sources of comparative advantage, such as
those pertaining to the relative quality of labour and capital or the capacity for sustained
innovation (productive inefficiency).
- They distort accounting practices, making it more difficult both for governments and
investors to assess company performance (informational inefficiency).
- They create a mismatch between the accrual of tax revenue in one jurisdiction and the use
of infrastructure and public services in another (inefficient public goods provision).
1. Background
The focus of this chapter is on the individual arrangements made at national level on the
tax treatment of large MNEs. The key cases in Europe involve large household name-
brands such as Apple, Starbucks, Amazon, Fiat and Vodafone. These cases have attracted
widespread publicity in the countries affected, and have in several cases involved high-
profile parliamentary inquiries into the practices of the companies concerned. In the case
of the UK Parliament, these inquiries have become more a court of public opinion,
focusing on the ethics and morality of these techniques than in forensically assessing
whether the practices are compatible with the tax code.
In each case, Member State governments have provided assurances as to how revenues
will be recorded in the tax base and what levy will be charged, as a first attempt at
making such arrangements more transparent. The implicit consideration of individual tax
treatments is to create sufficient tax incentives to influence the location of economic
activity by any level of government. The means by which companies and their tax
advisors seek to create structures that allow them to reduce their tax liabilities while
remaining within the letter if not the spirit of the law are discussed above. Here the
focus is on the areas of (collective) inefficiencies that are produced by such individual tax
treatments.
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2. Inefficiencies
The concern is that such tax incentives lead to four forms of (collective) inefficiency:
2.1. Organisational inefficiency
Firstly, individual tax treatments alter the balance between intra- and inter-firm trading
in ways that interfere with the ability of multinational firms to minimise transaction
costs. This is an organisational inefficiency. The arrangements essentially serve to place
transaction costs upon businesses in a way that shapes and influences their core
behaviours. Governments have sometimes publicly justified such tax treatments in terms
of seeking to ensure that a strategically important MNE does not relocate offshore. We
can only assume that the individual businesses have made an assessment of the whole
cost and that the benefits of the individual tax treatment outweigh the possible efficiency
savings possible from a more flexible disposition.
2.2. Productive inefficiency
The second type of inefficiency generated by this phenomenon is the redistribution of
economic activity in order to benefit from favourable tax treatment at the expense of
other sources of comparative advantage, such as those pertaining to the relative quality
of labour and capital or the capacity for sustained innovation. This is a productive
inefficiency, and the logic of it is that the standard of services and goods being supplied
by the business as a consequence of the individual tax-treatment is less than would be the
case in the absence of the preferential tax-treatment. Such behaviour is classically
described as being protectionist, and the EU’s efforts in creating a single market are
designed to reduce the presence of protectionist policies across the area. It should be
noted that such productive inefficiencies do not apply to the same degree to businesses
that are predominantly e-commerce-oriented and that have become a cause-celebre in
profit shifting and relocation activities – as they do to manufacturing concerns.
2.3. Informational inefficiency
The third type of inefficiency derives from the fact that individual tax treatments distort
accounting practices, making it more difficult both for governments and for investors to
assess company performance. This is an informational inefficiency and goes to the heart
of a common market trading area. Companies able to declare unexpectedly good trading
figures (as several European telecom giants have done in the previous two years) on the
basis of unexpectedly generous individual tax arrangements potentially obscures the
‘true’ performance of those businesses from investors. Such treatments are also likely to
be factored in by investors in subsequent years, drawing governments and tax authorities
into ever closer proximity with big business as de facto allocators of profit and loss,
something that the neoliberal political-economic shift of the 1980s was geared to
eliminate. There is an element of moral hazard to an arrangement whereby governments
and tax authorities are so closely involved in business performance.
Part I - Assessment of the magnitude of aggressive tax planning
PE 558.773 36
2.4. Inefficient public goods provision
The fourth and final major type of inefficiency involves the mismatch that these tax
treatments create between the accrual of tax revenue in one jurisdiction and the use of
infrastructure and public services in another. This can be described as inefficient public
goods provision. Such inefficiencies, which clearly are starker in times of economic
austerity, occur in situations where a large amount of economic activity is taking place
within the borders of one country, but the income and profit of which is filed in another
jurisdiction. A colourful illustration of this is the practice of some major e-commerce
activities in Greece a nation that currently faces notable challenges in terms of public
sector investment to file income and taxable profit in, to name but two preferential tax
jurisdictions, Luxembourg or Ireland. The shifting of such income and profit, while legal,
serves to reduce the revenues available to the first country, and, in so doing, the potential
pool of capital for public goods.
2.5. Summary of inefficiencies
These inefficiencies are the result of both nominal and real effects of tax deals. They arise
from aggressive tax strategies based on transfer pricing and profit shifting, but also from
the impact of tax deals on the location and pattern of investment. Ultimately, profit
shifting contains its own inefficiencies for the businesses involved. Complex and
expensive arrangements (be they advisory or structural) have to be put in place if they
are to capitalise on the profitable gaps created by comparing two or more European tax
codes. Such arrangements are also inefficient for governments, partly in terms of the
revenues that are lost, but also in terms of the potentially higher enforcement costs
associated with bringing high-value but marginal cases to court.
Individual tax treatments are seen by governments to be a convenient means by which to
ensure the recovery of a proportion of tax revenue that might otherwise be offshored.
There is some good evidence as highlighted above that such tax treatments also help
governments promote and attract additional FDI (albeit a contested concept with
contested numbers) and, thereby, are seen by some as a net promoter of economic
activity and growth. Lastly, in working with MNEs on tax arrangements, governments
believe they are reducing their costs in forensic examination and enforcement costs, and
potentially securing a larger recovery of income than might necessarily be the case. The
competitive element in this element of corporation tax is that which takes place between
private tax experts and those devising and enforcing the tax code the former, in seeking
to generate value added for their clients, nearly always being able to deploy greater levels
of resources than the latter.
As noted above, the implementation of the CCCTB is the single largest step that the
European Union could take to overcome the problem of aggressive tax planning leading
to corporate tax avoidance. A common set of definitions, assessment tools and
methodologies would help to overcome the significant gaps that exist across the Union in
attempting to identify and quantify avoidance practices. A common and cost-effective
Union-wide regulatory framework is the most sensible and effective way of limiting and
eroding these practices.
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PE 558.773 37
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Annexes
2
Adjusted top statutory tax rate on corporate income (%), 1995–2014
Source: Taxation trends in the European Union 2014, pp. 36
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Belgium 40,2 40,2 40,2 40,2 40,2 40,2 40,2 40,2 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 35,0
Bulgaria 40,0 40,0 40,2 37,0 34,3 32,5 28,0 23,5 23,5 19,5 15,0 15,0 10,0 10,0 10,0 10,0 10,0 10,0 10,0 15,0
Czech Republic
41,0 39,0 39,0 35,0 35,0 31,0 31,0 31,0 31,0 28,0 26,0 24,0 24,0 21,0 20,0 19,0 19,0 19,0 19,0 24,0
Denmark 34,0 34,0 34,0 34,0 32,0 32,0 30,0 30,0 30,0 30,0 28,0 28,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 27,0
Germany 56,8 56,7 56,7 56,0 51,6 51,6 38,3 38,3 39,6 38,3 38,7 38,7 38,7 30,2 30,2 30,2 30,2 30,2 30,2 34,8
Estonia 26,0 26,0 26,0 26,0 26,0 26,0 26,0 26,0 26,0 26,0 24,0 23,0 22,0 21,0 21,0 21,0 21,0 21,0 21,0 23,0
Ireland 40,0 38,0 36,0 32,0 28,0 24,0 20,0 16,0 12,5 12,5 12,5 12,5 12,5 12,5 12,5 12,5 12,5 12,5 12,5 13,3
Greece 40,0 40,0 40,0 40,0 40,0 40,0 37,5 35,0 35,0 35,0 32,0 29,0 25,0 35,0 35,0 24,0 20,0 20,0 26,0 29,9
Spain 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 32,5 30,0 30,0 30,0 30,0 30,0 30,0 32,5
France 36,7 36,7 41,7 41,7 40,0 37,8 36,4 35,4 35,4 35,4 35,0 34,4 34,4 34,4 34,4 34,4 34,4 36,1 36,1 35,1
Croatia 25,0 25,0 35,0 35,0 35,0 35,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0 20,0
Italy 52,2 53,2 53,2 41,3 41,3 41,3 40,3 40,3 38,3 37,3 37,3 37,3 37,3 31,4 31,4 31,4 31,4 31,4 31,4 35,1
Cyprus 25,0 25,0 25,0 25,0 25,0 29,0 28,0 28,0 15,0 15,0 10,0 10,0 10,0 10,0 10,0 10,0 10,0 10,0 12,5 13,7
Latvia 25,0 25,0 25,0 25,0 25,0 25,0 25,0 22,0 19,0 15,0 15,0 15,0 15,0 15,0 15,0 15,0 15,0 15,0 15,0 16,6
Lithuania 29,0 29,0 29,0 29,0 29,0 24,0 24,0 15,0 15,0 15,0 15,0 19,0 18,0 15,0 20,0 15,0 15,0 15,0 15,0 16,6
Luxembourg
40,9 40,9 39,3 37,5 37,5 37,5 37,5 30,4 30,4 30,4 30,4 29,6 29,6 29,6 28,6 28,6 28,8 28,8 29,2 30,1
Hungary 19,6 19,6 19,6 19,6 19,6 19,6 19,6 19,6 19,6 17,6 17,5 17,5 21,3 21,3 21,3 20,6 20,6 20,6 20,6 19,8
Malta 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0 35,0
Netherlands
35,0 35,0 35,0 35,0 35,0 35,0 35,0 34,5 34,5 34,5 31,5 29,6 25,5 25,5 25,5 25,5 25,0 25,0 25,0 29,0
Austria 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 34,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 27,8
Poland 40,0 40,0 38,0 36,0 34,0 30,0 28,0 28,0 27,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 21,0
Portugal 39,6 39,6 39,6 37,4 37,4 35,2 35,2 33,0 33,0 27,5 27,5 27,5 26,5 26,5 26,5 29,0 29,0 31,5 31,5 29,6
Romania 38,0 38,0 38,0 38,0 38,0 25,0 25,0 25,0 25,0 25,0 16,0 16,0 16,0 16,0 16,0 16,0 16,0 16,0 16,0 18,8
Slovenia 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 25,0 23,0 22,0 21,0 20,0 20,0 18,0 17,0 22,4
Slovakia 40,0 40,0 40,0 40,0 40,0 29,0 29,0 25,0 25,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 19,0 23,0 21,0
Finland 25,0 28,0 28,0 28,0 28,0 29,0 29,0 29,0 29,0 29,0 26,0 26,0 26,0 26,0 26,0 26,0 26,0 24,5 24,5 26,7
Sweden 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 26,3 26,3 26,3 26,3 22,0 27,0
United Kingdom
33,0 33,0 31,0 31,0 30,0 30,0 30,0 30,0 30,0 30,0 30,0 30,0 30,0 30,0 28,0 28,0 26,0 24,0 23,0 28,4
Norway 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0 28,0
Iceland 33,0 33,0 33,0 33,0 30,0 30,0 30,0 18,0 18,0 18,0 18,0 18,0 18,0 15,0 15,0 18,0 20,0 20,0 20,0 18,9
EU-28 35 35 35,2 34,2 33,5 32 30,4 29 28 26,8 25,3 25,1 24,4 23,8 23,8 23,2 23 22,9 23,2 25,3
EU-27 35,3 35,3 35,2 34,1 33,5 31,9 30,7 29,3 28,3 27 25,5 25,3 24,5 24 23,9 23,3 23,1 23 23,3 25,5
EA-18 36,2 36,3 36,4 35,2 34,7 33,9 32,6 31,2 29,8 28,8 27,4 27 26,2 25,7 25,6 25 24,8 24,8 25,5 27,3
EA-17 36,8 37 37 35,8 35,2 34,4 33 31,8 30,4 29,6 28,1 27,7 26,8 26,3 26,2 25,6 25,4 25,4 26,1 27,9
Taxes on the income or profits of corporations (Million euro)
Source: eurostat (finance); see saved doc called Revenues in Private Work EP
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
European Union (28 countries)
: : : : : : : : : : : : : : : : : : :
European Union (27 countries)
: : : : : : : : : : : : : : : : : : :
Belgium 5.108 5.781 6.231 7.706 7.700 8.085 8.087 8.139 7.911 8.990 9.814 11.369 11.760 11.598 8.113 9.261 10.692 11.689 12.294
129.716
Bulgaria 450 398 467 443 376 365 568 485 461 492 379 484 1.260 1.038 823 654 678 676 786
8.786
Czech Republic
1.938 1.640 1.930 1.872 2.154 2.111 2.771 3.465 3.733 4.035 4.533 5.424 6.165 6.492 5.006 5.039 5.247 5.069 5.093
62.070
Denmark 3.249 3.653 4.021 4.677 3.889 5.672 5.008 5.321 5.443 5.880 7.327 8.334 7.365 6.176 4.417 5.513 5.407 6.591 6.756
79.537
Germany (until 1990 former territory of the FRG)
36.924 43.833 45.893 48.952 53.829 57.980 33.547 33.140 37.692 46.258 53.573 66.303 69.801 64.210 45.607 52.932 64.980 70.093 70.215
708.351
Estonia : : : : : : : : : 55 57 52 65 59 39 35 37 56 62
515
Ireland 1.408 1.800 2.271 2.618 3.442 3.885 4.144 4.804 5.155 5.335 5.503 6.685 6.393 5.071 3.889 3.944 3.751 3.964 4.272
62.910
Greece : : : : : : : : : : : 5.997 6.042 6.231 5.960 5.706 4.589 2.314 2.429
39.268
Spain : : : : : : : : : : : : : : : : : : :
0
France 21.755 25.852 29.112 31.193 36.872 40.746 46.279 39.984 34.604 39.536 40.900 53.485 56.765 56.609 32.001 44.286 51.532 52.267 56.120
604.368
Croatia : : : : : : : 519 594 612 834 1.134 1.344 1.393 1.152 871 1.041 877 890
11.259
Italy 28.958 37.413 43.323 26.738 30.773 27.632 36.134 32.262 28.739 30.038 33.533 43.753 50.457 47.767 37.406 36.735 35.768 37.732 40.377
490.700
Cyprus 281 325 344 417 545 622 671 670 507 471 634 803 1.079 1.218 1.096 1.075 1.228 1.114 1.171
11.737
Latvia 69 82 119 138 139 132 176 198 152 196 260 367 572 727 291 174 283 357 370
4.123
Lithuania : : : : : : : : : 339 437 663 734 888 489 276 253 433 477
4.989
Luxembourg
1.036 1.100 1.220 1.321 1.328 1.533 1.651 1.926 1.892 1.571 1.753 1.680 1.977 2.003 2.075 2.311 2.148 2.257 2.213
25.458
Hungary : : : : : : : : : : : : : : : : : : :
0
Malta 66 54 78 71 94 135 126 131 163 128 146 171 258 295 305 322 311 362 421
3.139
Netherlands
10.460 13.435 15.418 16.132 17.215 18.140 18.800 16.530 14.502 16.266 18.735 19.978 21.049 21.179 13.293 14.589 14.046 13.697 14.074
216.738
Austria 2.881 3.870 4.084 4.440 3.881 4.526 6.923 5.247 5.200 5.607 5.766 5.964 7.069 7.468 5.114 5.810 6.470 6.679 7.251
80.568
Poland 2.935 3.300 3.759 3.980 3.767 4.454 3.802 4.151 3.365 4.004 5.234 6.537 8.543 9.819 7.098 7.041 7.681 8.092 6.993
82.358
Portugal 2.062 2.562 3.141 3.346 4.141 4.744 4.379 4.641 3.989 4.279 4.132 4.705 6.073 6.286 4.819 4.919 5.521 4.649 5.537
63.928
Romania 1.056 905 1.334 1.378 1.282 1.302 1.143 1.276 1.476 1.935 2.163 2.778 3.812 4.185 3.139 2.853 3.110 2.852 2.931
33.651
Slovenia 83 151 184 193 241 250 287 385 448 524 795 920 1.116 934 652 668 611 446 433
8.219
Slovakia 903 717 689 646 595 575 611 654 812 882 1.049 1.294 1.637 2.012 1.577 1.659 1.699 1.715 2.118
17.719
Finland : : : : : : : : : : : : : : : : : : :
0
Sweden 5.040 5.554 6.327 5.899 7.397 10.054 6.587 5.407 6.084 8.511 10.750 11.547 12.845 9.810 8.650 11.776 12.530 10.951 11.912
127.359
United Kingdom
23.612 29.350 44.869 48.289 47.169 52.988 55.923 46.860 43.725 49.078 59.054 73.473 65.609 62.118 42.666 51.398 53.168 53.288 49.713
706.072
Norway : : : : : : : : : : : : : : : : : : :
0
Switzerland
4.241 4.261 4.300 4.686 5.875 7.191 8.442 7.614 7.008 6.885 7.339 9.374 9.811 11.172 11.067 11.916 14.241 14.539 14.550
133.957
Taxes on the income or profits of corporations (Million national currency)
Source: eurostat (finance); see saved doc called Revenues in Private Work EP
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
European Union (28 countries)
: : : : : : : : : : : : : : : : : : :
European Union (27 countries)
: : : : : : : : : : : : : : : : : : :
Belgium 4.882 5.632 6.261 7.760 7.700 8.085 8.087 8.139 7.911 8.990 9.814 11.369 11.760 11.598 8.113 9.261 10.692 11.689 12.294
129.716
Bulgaria 40 89 883 872 736 713 1.106 946 899 961 742 947 2.465 2.030 1.610 1.280 1.327 1.321 1.538
17.172
Czech Republic
67.255 56.510 69.357 67.464 79.458 75.155 94.393 106.731 118.882 128.665 134.989 153.713 171.179 161.948 132.327 127.404 129.031 127.480 132.318
1.719.060
Denmark 23.808 26.880 30.089 35.078 28.916 42.279 37.319 39.538 40.446 43.746 54.597 62.166 54.871 46.050 32.886 41.057 40.286 49.063 50.385
592.408
Germany (until 1990 former territory of the FRG)
35.374 42.796 46.093 49.285 53.829 57.980 33.547 33.140 37.692 46.258 53.573 66.303 69.801 64.210 45.607 52.932 64.980 70.093 70.215
708.351
Estonia : : : : : : : : : 55 57 52 65 59 39 35 37 56 62
515
Ireland 1.458 1.813 2.155 2.614 3.442 3.885 4.144 4.804 5.155 5.335 5.503 6.685 6.393 5.071 3.889 3.944 3.751 3.964 4.272
62.910
Greece : : : : : : : : : : : 5.997 6.042 6.231 5.960 5.706 4.589 2.314 2.429
39.268
Spain : : : : : : : : : : : : : : : : : : :
0
France 21.640 25.590 29.347 31.392 36.872 40.746 46.279 39.984 34.604 39.536 40.900 53.485 56.765 56.609 32.001 44.286 51.532 52.267 56.120
604.368
Croatia : : : : : : : 3.843 4.492 4.588 6.169 8.305 9.862 10.062 8.459 6.347 7.741 6.597 6.742
83.206
Italy 31.857 37.851 43.167 26.840 30.773 27.632 36.134 32.262 28.739 30.038 33.533 43.753 50.457 47.767 37.406 36.735 35.768 37.732 40.377
490.700
Cyprus 284 328 342 413 539 610 660 658 506 468 625 790 1.075 1.218 1.096 1.075 1.228 1.114 1.171
11.684
Latvia 68 82 112 130 124 105 140 164 138 185 258 363 570 727 292 176 285 354 370
4.021
Lithuania : : : : : : : : : 339 437 663 734 888 489 276 253 433 477
4.989
Luxembourg
990 1.072 1.226 1.330 1.328 1.533 1.651 1.926 1.892 1.571 1.753 1.680 1.977 2.003 2.075 2.311 2.148 2.257 2.213
25.458
Hungary : : : : : : : : : : : : : : : : : : :
0
Malta 71 57 80 72 93 127 119 125 162 128 146 171 258 295 305 322 311 362 421
3.124
Netherlands
9.963 13.045 15.468 16.249 17.215 18.140 18.800 16.530 14.502 16.266 18.735 19.978 21.049 21.179 13.293 14.589 14.046 13.697 14.074
216.738
Austria 2.760 3.779 4.103 4.470 3.881 4.526 6.923 5.247 5.200 5.607 5.766 5.964 7.069 7.468 5.114 5.810 6.470 6.679 7.251
80.568
Poland 9.306 11.294 13.967 15.586 15.924 17.853 13.961 16.010 14.804 18.124 21.057 25.468 32.324 34.485 30.716 28.125 31.649 33.863 29.351
329.937
Portugal 2.017 2.502 3.111 3.366 4.141 4.744 4.379 4.641 3.989 4.279 4.132 4.705 6.073 6.286 4.819 4.919 5.521 4.649 5.537
63.928
Romania 281 355 1.081 1.376 2.096 2.594 2.973 3.989 5.543 7.838 7.834 9.794 12.712 15.411 13.309 12.016 13.183 12.716 12.951
130.269
Slovenia 54 108 139 150 196 216 261 363 437 523 795 920 1.116 934 652 668 611 446 433
8.158
Slovakia 1.166 927 871 848 871 813 879 926 1.118 1.172 1.345 1.599 1.836 2.088 1.577 1.659 1.699 1.715 2.118
19.729
Finland : : : : : : : : : : : : : : : : : : :
0
Sweden 47.034 47.289 54.733 52.598 65.147 84.910 60.961 49.531 55.510 77.661 99.781 106.861 118.816 94.322 91.852 112.315 113.142 95.318 103.056
1.179.126
United Kingdom
19.569 23.885 31.063 32.664 31.072 32.295 34.777 29.467 30.257 33.307 40.381 50.089 44.899 49.463 38.013 44.091 46.143 43.210 42.219
526.316
Norway : : : : : : : : : : : : : : : : : : :
0
Switzerland
6.555 6.680 7.070 7.600 9.401 11.204 12.752 11.170 10.660 10.629 11.363 14.745 16.117 17.734 16.710 16.448 17.553 17.524 17.912
191.316
Net operating surplus: total economy (UOND)
Source: AMECO
Country Unit 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
mrd=billion
European Union
Mrd ECU/EUR- Standard aggregation
1850 1965 2089 2163 2205 2364 2457 2546 2602 2783 2911 3108 3328 3294 2873 3063 3174 3129 3139
Belgium Mrd EURO-BEF 50 49 51 53 53 57 56 57 59 66 71 74 79 75 68 75 78 74 75
Bulgaria Mrd BGN 0 1 10 11 10 12 13 14 14 15 17 20 24 27 26 25 30 29 28
Czech Republic Mrd CZK 486 544 565 669 688 725 804 813 854 932 1006 1119 1224 1248 1183 1174 1173 1135 1131
Denmark Mrd DKK 209 216 222 206 214 261 249 244 238 260 276 298 272 260 219 276 286 290 286
Germany Mrd EURO-DEM 419 428 449 464 457 447 476 487 486 527 549 604 646 628 519 588 622 596 602
Estonia Mrd EURO-EEK 1 1 1 1 2 2 2 2 3 3 4 4 5 4 3 4 5 5 5
Ireland Mrd EURO-IEP 19 21 26 31 36 43 49 57 59 61 64 65 70 62 56 58 65 66 64
Greece Mrd EURO-GRD 46 50 55 59 61 63 67 69 76 84 83 92 97 98 93 83 73 69 68
Spain Mrd EURO-ESP 142 150 152 163 169 183 201 215 227 237 249 266 286 291 278 264 269 273 276
France Mrd EURO-FRF 249 250 263 284 288 308 321 322 327 343 345 360 388 386 333 354 354 347 342
Croatia Mrd HRK 24 28 31 31 28 30 33 37 41 46 57 64 71 77 65 65 70 68 67
Italy Mrd EURO-ITL 363 384 393 395 407 440 465 471 485 504 501 507 528 527 482 484 492 458 467
Cyprus Mrd EURO-CYP 3 3 3 3 4 4 4 4 4 4 5 5 5 6 6 6 6 7 6
Latvia Mrd EURO-LVL 0 0 1 1 1 1 2 2 2 3 4 4 5 5 4 4 5 5 6
Lithuania Mrd EURO-LTL 2 3 4 4 4 4 5 5 6 7 8 9 10 11 8 10 12 13 13
Luxembourg Mrd EURO-LUF 5 5 5 6 7 7 6 6 7 7 8 10 10 11 9 11 12 12 12
Hungary Mrd HUF 1172 1479 2025 2454 2735 2934 3639 4383 4540 5149 5551 6194 6169 6526 5844 5913 6392 6096 6711
Malta Mrd EURO-MTL 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2
Netherlands Mrd EURO-NLG 77 80 90 97 99 108 112 113 113 119 129 144 156 161 143 152 157 149 145
Austria Mrd EURO-ATS 38 39 41 44 45 49 50 52 53 59 63 68 74 73 64 67 72 71 69
Poland Mrd PLN 105 125 153 182 200 242 245 264 282 339 364 399 448 465 536 559 619 649 672
Portugal Mrd EURO-PTE 23 24 27 29 31 32 34 34 34 37 37 39 43 43 42 43 42 42 43
Romania Mrd RON 2 4 10 11 19 25 34 43 62 85 91 118 152 182 180 194 207 220 245
Slovenia Mrd EURO-SIT 2 2 2 3 3 3 4 4 5 5 5 6 7 8 6 6 6 5 6
Slovakia Mrd EURO-SKK 6 6 7 7 8 9 10 11 12 15 16 20 23 26 22 23 23 24 24
Finland Mrd EURO-FIM 23 23 26 29 31 34 37 37 37 39 39 41 47 46 34 38 40 36 36
Sweden Mrd SEK 459 411 423 423 433 445 415 425 466 523 539 619 640 588 472 611 626 557 570
United Kingdom Mrd GBP 191 217 223 222 214 224 217 237 268 280 309 318 333 361 333 354 381 386 398
Macedonia FYR Mrd MKD NA NA NA NA NA 58 63 60 67 78 97 109 123 135 127 134 150 152 NA
Iceland Mrd ISK 100 108 132 138 122 128 164 170 158 178 168 147 188 261 349 352 357 341 365
Turkey Mrd TRY 8 14 26 48 67 105 150 212 275 343 401 471 NA NA NA NA NA NA NA
Norway Mrd NOK 256 296 319 274 317 499 501 462 499 601 731 835 821 951 723 820 919 975 961
Switzerland Mrd CHF 85 87 93 97 92 97 90 81 82 92 99 113 125 124 104 119 116 113 111
United States Mrd USD 1721 1896 2059 2154 2251 2344 2410 2517 2665 2886 3176 3483 3307 3177 3212 3563 3786 4153 4397
Japan Mrd JPY 99199 102651 102794 95196 94389 98962 98933 101736 108573 112491 108619 106808 110541 99232 85906 97918 86743 91518 91332
Canada Mrd CAD 178 186 197 194 221 257 258 264 295 325 354 360 375 403 316 378 411 406 409
Mexico Mrd MXN 1099 1586 1970 2380 2826 3347 3430 3760 4111 4836 5316 6063 6583 7168 6561 7480 8371 8999 NA
Korea Mrd WON 120758 124682 138172 138326 156302 175962 188448 214858 222243 246182 245898 249878 273347 290760 312607 362987 372685 369525 NA
Australia Mrd AUD 127 132 142 146 159 163 183 193 214 229 254 277 300 347 344 384 404 395 415
New Zealand Mrd NZD 31 32 33 33 37 40 43 45 47 50 50 51 56 51 54 59 62 60 NA
Gross operating surplus: total economy (UOGD)
Source: AMECO
Country Unit 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
European Union
Mrd ECU/EUR- Standard aggregation
2.969 3.140 3.318 3.437 3.550 3.814 3.986 4.149 4.240 4.504 4.717 5.021 5.352 5.372 4.946 5.207 5.381 5.410 5.442
Belgium Mrd EURO-BEF 82 83 87 90 92 99 100 103 107 117 124 131 139 140 135 146 151 150 153
Bulgaria Mrd BGN 0 1 11 14 13 15 16 18 19 21 23 27 33 36 36 36 40 40 38
Czech Republic Mrd CZK 821 919 995 1.143 1.194 1.268 1.378 1.400 1.463 1.573 1.673 1.823 1.988 2.060 2.024 2.024 2.037 2.014 2.036
Denmark Mrd DKK 380 393 411 402 420 476 478 484 489 521 545 578 571 587 530 593 609 624 624
Germany Mrd EURO-DEM 729 745 774 797 798 802 843 863 865 914 943 1.008 1.070 1.069 970 1.047 1.097 1.087 1.105
Estonia Mrd EURO-EEK 1 1 2 2 2 3 3 3 4 4 5 6 7 7 5 6 7 7 8
Ireland Mrd EURO-IEP 25 28 33 39 46 55 63 73 76 80 85 90 95 86 78 80 86 89 88
Greece Mrd EURO-GRD 57 63 69 75 78 81 86 90 101 110 111 121 129 133 130 121 111 106 102
Spain Mrd EURO-ESP 202 214 221 235 249 271 296 319 339 362 387 417 450 465 455 446 453 458 459
France Mrd EURO-FRF 437 443 461 488 500 535 559 571 586 614 631 664 710 729 679 708 721 724 724
Croatia Mrd HRK 44 48 54 55 54 57 67 71 78 89 97 108 119 128 119 118 123 119 118
Italy Mrd EURO-ITL 508 537 552 561 580 623 658 676 697 726 735 751 783 794 754 766 783 755 765
Cyprus Mrd EURO-CYP 4 4 4 5 5 5 6 6 6 6 7 7 7 8 8 9 9 9 9
Latvia Mrd EURO-LVL 2 2 2 3 3 3 4 4 5 6 7 8 10 11 8 8 10 11 11
Lithuania Mrd EURO-LTL 4 5 6 6 6 7 7 8 8 9 10 11 14 15 12 14 16 17 18
Luxembourg Mrd EURO-LUF 7 7 7 8 9 10 9 10 10 11 12 14 15 15 13 16 17 18 17
Hungary Mrd HUF 2.283 2.884 3.712 4.406 4.981 5.462 6.416 7.304 7.650 8.453 9.053 10.033 10.256 10.887 10.519 10.789 11.437 11.338 12.029
Malta Mrd EURO-MTL 1 1 1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3
Netherlands Mrd EURO-NLG 129 135 147 157 163 178 188 193 197 205 218 237 253 262 247 259 264 256 253
Austria Mrd EURO-ATS 66 69 72 75 78 83 87 90 93 99 106 113 120 122 115 119 126 126 127
Poland Mrd PLN 155 188 227 268 295 346 357 379 404 468 498 542 599 620 695 722 788 828 860
Portugal Mrd EURO-PTE 37 39 42 45 48 52 55 57 58 62 63 66 72 73 72 74 73 73 73
Romania Mrd RON 4 7 16 19 31 41 58 77 104 132 145 177 219 263 269 287 312 331 364
Slovenia Mrd EURO-SIT 3 4 5 6 6 7 8 9 9 10 11 12 14 14 13 13 13 13 13
Slovakia Mrd EURO-SKK 10 11 12 13 14 16 18 19 22 25 27 31 35 38 34 37 38 39 40
Finland Mrd EURO-FIM 40 41 45 50 52 57 61 62 63 66 67 71 80 81 70 74 76 75 75
Sweden Mrd SEK 715 681 711 732 768 812 811 840 888 957 992 1.096 1.146 1.134 1.049 1.198 1.227 1.175 1.199
United Kingdom Mrd GBP 304 335 344 344 343 359 362 392 429 451 488 512 535 560 536 562 594 605 625
Macedonia FYR Mrd MKD NA NA 73 76 81 102 109 108 122 136 159 173 202 219 211 222 238 243 257
Iceland Mrd ISK 164 173 196 207 201 215 268 279 272 298 302 311 379 514 648 645 648 646 675
Turkey Mrd TRY 8 15 28 51 72 114 165 236 302 373 432 507 NA NA NA NA NA NA NA
Norway Mrd NOK 405 452 484 450 504 699 715 680 721 832 976 1.101 1.114 1.276 1.073 1.184 1.301 1.379 1.393
Switzerland Mrd CHF 167 169 175 181 180 190 187 181 185 196 205 223 241 246 230 245 244 242 243
United States Mrd USD 2.844 3.072 3.299 3.464 3.652 3.858 4.014 4.179 4.393 4.717 5.158 5.619 5.571 5.540 5.580 5.944 6.237 6.683 7.024
Japan Mrd JPY 196.872 201.568 206.239 200.125 197.931 202.213 201.538 203.585 209.023 213.116 209.966 210.752 216.950 208.186 192.933 201.697 188.540 192.133 193.203
Canada Mrd CAD 302 317 335 342 377 424 437 451 484 520 562 584 616 665 591 654 700 713 733
Mexico Mrd MXN 1.350 1.912 2.356 2.854 3.377 3.974 4.109 4.493 4.937 5.751 6.285 7.123 7.737 8.460 8.022 8.981 9.990 10.796 NA
Korea Mrd WON 193.782 210.609 238.851 252.720 278.304 303.905 324.123 358.021 375.650 410.762 421.017 435.069 471.630 499.767 531.178 595.120 625.067 636.915 NA
Australia Mrd AUD 213 220 237 246 265 278 304 321 350 376 413 451 487 548 554 605 635 638 671
New Zealand Mrd NZD 44 45 47 48 52 56 61 62 66 70 72 74 81 79 82 87 90 90 NA
Net operating surplus: total economy :- Adjusted for imputed compensation of self-employed (UQND)
Source: AMECO
Country Unit 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
European Union
Mrd ECU/EUR- Standard aggregation
NA 1.101 1.194 1.239 1.242 1.344 1.403 1.503 1.532 1.694 1.789 1.948 2.121 2.084 1.685 1.827 1.920 1.849 1.859
Belgium Mrd EURO-BEF 27 25 26 28 27 31 29 29 30 37 41 43 46 41 33 40 41 35 35
Bulgaria Mrd BGN 0 1 8 7 6 8 8 9 9 10 11 13 17 19 17 15 19 18 16
Czech Republic Mrd CZK 403 445 455 540 545 570 636 620 631 700 775 871 957 972 903 873 861 819 820
Denmark Mrd DKK 159 165 171 153 160 206 192 183 176 200 214 233 204 190 148 205 214 218 212
Germany Mrd EURO-DEM 307 312 331 344 335 322 349 357 351 388 404 456 495 475 366 431 458 428 434
Estonia Mrd EURO-EEK 1 1 1 1 1 2 2 2 2 3 3 4 4 4 2 3 4 4 4
Ireland Mrd EURO-IEP 13 15 19 23 27 33 39 47 48 49 50 51 54 44 40 44 51 52 49
Greece Mrd EURO-GRD 27 30 32 35 35 37 40 39 44 50 44 52 56 56 49 43 37 36 38
Spain Mrd EURO-ESP 86 93 97 105 110 121 135 148 158 165 174 188 204 203 193 181 187 192 193
France Mrd EURO-FRF 161 163 176 197 200 219 230 228 231 243 241 251 275 270 214 230 224 214 204
Croatia Mrd HRK NA 12 11 6 2 2 6 7 6 11 20 25 28 32 21 19 25 28 30
Italy Mrd EURO-ITL 180 189 190 191 199 223 242 239 238 245 242 238 251 243 199 192 197 164 175
Cyprus Mrd EURO-CYP 2 2 2 2 2 3 3 3 3 3 3 3 4 4 4 5 5 5 5
Latvia Mrd EURO-LVL 0 0 0 0 0 1 1 2 2 2 3 3 4 4 3 3 4 4 4
Lithuania Mrd EURO-LTL 2 2 2 2 2 3 4 4 4 5 6 6 8 9 7 8 10 11 11
Luxembourg Mrd EURO-LUF 5 5 5 5 6 6 6 6 6 6 7 9 9 9 7 9 11 11 10
Hungary Mrd HUF 618 769 1.170 1.512 1.680 1.792 2.411 3.023 3.155 3.655 4.057 4.678 4.635 4.936 4.346 4.453 4.906 4.573 5.278
Malta Mrd EURO-MTL 0,638 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 2 2 2
Netherlands Mrd EURO-NLG 45 47 56 61 62 71 74 73 72 76 84 96 104 106 86 95 96 85 79
Austria Mrd EURO-ATS 23 24 25 27 28 31 32 33 34 39 43 47 53 51 42 45 49 47 45
Poland Mrd PLN 46 50 65 85 95 125 117 135 158 214 238 273 315 320 387 400 451 479 500
Portugal Mrd EURO-PTE 13 12 14 15 16 16 17 18 17 20 20 22 26 25 25 26 26 26 27
Romania Mrd RON 0 1 4 1 3 -2 -7 10 16 42 34 57 82 92 89 95 118 130 154
Slovenia Mrd EURO-SIT 0 0 1 1 1 1 1 2 2 2 2 3 4 4 2 2 2 1 1
Slovakia Mrd EURO-SKK 5 5 6 6 7 7 9 9 10 13 13 17 20 21 17 18 18 19 19
Finland Mrd EURO-FIM 15 15 18 21 22 25 28 28 27 29 29 30 36 34 22 26 26 23 23
Sweden Mrd SEK 398 347 356 357 363 371 341 351 395 447 461 536 551 500 381 515 532 461 474
United Kingdom Mrd GBP 132 156 161 158 147 155 144 161 183 190 215 217 223 249 218 231 254 252 260
Macedonia FYR Mrd MKD NA NA NA NA NA 42 46 39 44 59 79 87 101 109 100 104 120 122 NA
Iceland Mrd ISK NA NA NA NA NA 46 80 81 82 93 72 30 65 140 244 236 231 208 221
Turkey Mrd TRY 5 9 16 31 36 64 89 133 177 248 303 365 NA NA NA NA NA NA NA
Norway Mrd NOK 212 252 273 225 267 447 447 406 441 540 668 768 750 877 647 744 839 893 873
Switzerland Mrd CHF 49 49 52 55 50 56 47 39 42 53 60 72 81 79 61 76 71 68 69
United States Mrd USD 1.321 1.483 1.629 1.709 1.797 1.858 1.914 2.017 2.128 2.314 2.585 2.860 2.669 2.543 2.584 2.923 3.145 3.493 3.741
Japan Mrd JPY 34.182 38.465 37.777 31.529 33.375 40.070 42.533 48.317 57.069 61.346 58.248 59.666 65.009 55.381 45.148 58.287 47.718 53.204 53.341
Canada Mrd CAD 127 131 137 129 155 191 194 198 227 255 280 284 293 320 231 292 323 314 313
Mexico Mrd MXN 838 1.267 1.551 1.873 2.209 2.636 2.621 2.885 3.160 3.811 4.246 4.931 5.365 5.866 5.237 6.049 6.874 7.404 NA
Korea Mrd WON 8.683 -3.451 1.651 -838 13.104 23.716 22.738 37.008 37.453 54.681 43.104 41.600 59.371 71.082 97.914 146.232 148.198 133.738 NA
Australia Mrd AUD 80 84 91 95 105 107 125 132 151 162 184 205 222 268 261 295 316 304 321
New Zealand Mrd NZD 26 27 28 29 32 36 39 40 43 45 44 45 49 44 47 51 54 53 NA
Compensation of Employees (current prices, million euros)
Source: Eurostat, national accounts
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
European Union (28 countries)
: : : : : 4.612.485 4.816.709 4.979.961 5.041.743 5.234.578 5.440.468 5.717.339 6.032.869 6.145.763 5.967.319 6.137.807 6.269.771 6.430.451 6.471.262 6.673.346
Belgium 111.193 111.245 112.051 115.797 122.667 128.289 135.404 140.632 143.323 147.463 152.557 160.053 168.757 178.091 179.532 183.069 191.331 197.997 202.063 204.669
Bulgaria 4.325 2.958 3.158 4.691 4.770 5.095 5.658 6.013 6.495 7.075 8.016 8.886 10.432 12.477 13.201 13.875 14.588 15.432 16.601 16.818
Czech Republic 17.868 21.142 22.190 23.222 23.367 25.708 29.014 34.443 35.125 38.017 43.624 49.186 54.500 64.814 59.337 62.848 66.114 65.908 63.820 62.122
Denmark 70.783 74.208 76.533 80.757 85.512 88.851 93.518 97.188 99.737 102.554 107.482 113.816 121.150 127.390 127.001 128.056 129.718 131.494 132.977 136.578
Germany (until 1990 former territory of the FRG)
1.056.987 1.046.639 1.021.963 1.041.238 1.078.593 1.120.526 1.137.729 1.144.758 1.146.217 1.148.422 1.145.877 1.165.287 1.197.070 1.241.273 1.245.663 1.281.963 1.336.659 1.387.626 1.426.227 1.479.673
Estonia : : : : : 2.787 3.107 3.440 3.861 4.292 4.943 5.940 7.397 8.238 7.153 6.957 7.458 8.048 8.708 9.468
Ireland : : : 32.582 36.635 41.592 46.486 49.920 54.317 59.008 65.922 72.554 79.555 82.649 75.253 70.039 70.076 70.136 72.484 76.505
Greece 30.693 33.286 37.420 39.026 43.626 44.449 47.318 54.486 59.210 63.735 68.210 72.756 78.201 82.393 84.433 81.035 73.466 66.371 59.306 59.887
Spain 224.052 241.231 252.070 267.080 288.624 313.263 337.835 360.690 386.223 411.320 444.044 481.152 522.556 559.777 549.173 541.475 531.879 501.909 490.253 496.870
France 625.525 646.126 650.915 676.743 712.455 751.506 785.431 817.774 841.720 871.162 903.162 942.012 979.930 1.010.192 1.013.013 1.040.212 1.068.929 1.092.356 1.107.016 1.125.630
Croatia 7.891 8.920 10.059 11.171 11.261 11.968 12.473 13.984 15.078 16.158 17.499 18.974 20.816 22.919 22.337 21.844 21.478 21.048 20.612 20.502
Italy 346.607 402.016 427.409 423.148 440.026 457.998 482.890 505.318 526.367 545.614 569.286 594.753 617.212 639.168 634.815 642.342 651.471 643.056 636.317 641.924
Cyprus 3.065 3.238 3.513 3.704 3.951 4.293 4.559 4.922 5.376 5.749 6.160 6.610 7.021 7.543 7.709 7.935 8.174 7.848 6.977 6.503
Latvia 1.696 2.088 2.459 2.667 3.009 3.554 3.755 3.871 4.006 4.453 5.499 7.110 9.925 11.475 8.541 7.503 7.938 8.649 9.596 10.276
Lithuania : : : : : : : : : 7.310 8.520 10.277 12.326 14.355 11.978 11.470 12.296 12.978 13.696 14.583
Luxembourg : : : : : 10.554 11.530 12.385 12.762 13.584 14.459 15.681 17.200 18.444 18.899 19.647 20.651 21.477 22.680 :
Hungary 16.054 16.352 18.368 19.003 19.709 22.569 26.628 32.063 34.183 37.722 41.286 41.339 46.519 49.067 42.438 43.522 44.482 43.756 44.104 45.123
Malta 1.345 1.411 1.559 1.616 1.724 1.908 2.059 2.101 2.126 2.183 2.226 2.365 2.503 2.669 2.736 2.845 3.036 3.206 3.363 3.539
Netherlands 172.923 176.191 180.033 192.316 208.602 225.800 238.391 250.067 256.910 260.672 264.776 274.119 290.933 307.355 311.679 310.471 318.040 322.825 323.635 328.547
Austria 93.864 93.258 92.229 95.494 99.729 103.345 105.585 107.547 109.981 112.748 116.421 122.035 128.190 134.961 136.224 138.905 144.343 150.379 154.729 158.750
Poland : : : : : : : 84.434 75.327 75.749 89.995 99.699 114.236 140.140 118.226 135.390 139.164 143.033 146.805 :
Portugal 42.592 45.838 49.059 52.790 57.084 61.825 65.404 68.428 70.139 72.332 75.737 77.843 81.028 83.639 83.625 84.842 81.617 75.305 76.058 76.381
Romania 10.739 11.009 10.200 14.108 11.635 15.999 18.691 19.243 19.620 22.473 31.207 37.494 45.898 55.905 45.516 45.057 43.751 43.779 45.451 47.012
Slovenia 8.886 8.971 9.347 9.895 10.418 11.061 11.829 12.531 13.075 13.847 14.620 15.653 17.212 18.956 18.790 19.020 18.913 18.475 18.259 18.293
Slovakia 5.982 6.889 8.093 8.474 7.831 8.979 9.360 10.295 11.445 12.527 14.326 16.312 19.845 23.315 24.001 24.913 26.053 26.870 27.417 28.963
Finland 49.584 50.593 52.833 55.995 59.731 63.556 67.170 69.285 70.968 73.934 77.780 81.733 86.299 91.983 90.940 92.404 96.828 100.288 100.906 101.353
Sweden 88.916 103.338 106.329 103.289 110.892 126.845 123.664 129.259 134.338 138.778 141.022 148.271 159.898 161.411 146.175 167.826 187.469 202.245 209.059 206.283
United Kingdom 464.978 496.202 620.808 690.546 757.255 878.375 916.441 939.089 897.376 965.696 1.005.815 1.075.429 1.136.263 995.163 888.933 952.343 953.851 1.047.545 1.031.390 1.121.520
Iceland : : 3.243 3.792 4.394 5.178 4.758 5.193 5.447 5.930 7.422 7.770 8.824 5.763 4.374 4.833 5.275 5.667 5.976 6.737
Norway 53.374 57.830 64.109 66.792 72.697 78.730 84.264 94.582 91.219 91.541 101.654 110.550 123.310 132.179 128.257 143.814 157.193 175.083 177.306 173.256
Switzerland 149.520 148.197 143.196 147.801 152.600 163.625 178.610 188.866 182.946 181.182 186.317 190.783 192.388 209.340 225.325 248.138 288.927 303.258 304.936 :
Former Yugoslav Republic of Macedonia, the
: : : : : 1.761 1.709 1.714 1.795 1.754 1.727 1.926 1.939 2.268 2.430 2.543 2.635 2.653 2.733 :
Albania : : : : : : : : : : : : : : : : : : : :
Serbia : : : : : : : : : : : : : : : : : : : :
United States : : : : : : : : : : : : : : : : : : : :
Special value:
: not available
Gross Value Added (current price, euro millions)
Source: eurostat, natinal accounts
GEO/TIME 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
European Union (28 countries)
: : : : : 8546961,6 8923711,3 9261329,6 9417273,9 9881807,2 10298927,1 10873022,4 11531243,4 11656145,6 11035242,5 11476232,4 11794483,4 12015275,9 12100788,2 12447427,7
Belgium 199545,6 198739,3 200924,2 207965,4 217620 229856 238051 246070 253445 266687 278141 292505 308295 317981 313494 327215 340384 347328 353824 359839
Bulgaria 9919,5 7265,1 9079,7 11675,5 11403 12774,3 14142,6 15501,5 16351,8 17858,8 20008,5 22553,6 26970,2 30538,5 31156,5 31756,1 34921,4 35216,1 35344,3 36131,6
Czech Republic 41496,2 47826,3 49643,1 54339,2 55220,6 60899,4 68800,2 79574,9 80620,2 86948,2 99035,1 112603,7 125097,7 146200,3 134411,7 141705 147890,5 144901,5 141059,5 140234,6
Denmark 122457 127254,6 131494,8 134755,9 142453,2 153361,1 158494,7 163060 166313,3 173462,3 180923,1 191592,4 198028,7 206750,1 198357,8 208191,7 212102,6 215994,2 217968,3 222415,4
Germany (until 1990 former territory of the FRG)
1795315 1787299,6 1774842,6 1814338,8 1858963 1906252 1966887 1995330 2002029 2054583 2079023 2161896 2258193 2300939 2203589 2317328 2424083 2470199 2525612 2611313
Estonia : : : : : 5512,7 6214,3 6900,5 7762,7 8594,6 9971,2 11887,2 14254,9 14715,6 12276,4 12871,8 14356,7 15382 16404,2 16966,3
Ireland 47428,4 52732,2 64676,1 72289,6 82218,4 96227 108124,3 120053,8 128464 137024,3 148795,4 161711,4 175489,3 167752,7 151362,6 151446,9 157838,6 159201,4 160543,1 169844,7
Greece 95494,5 104349,4 114001,5 116859,9 125424,5 127215,9 134396,6 144669,7 160239,5 174070,1 178707,5 193030,5 205392,6 213932,6 212216 199645,4 182302,4 171215,6 160544,5 157212,5
Spain 433595,7 465806,2 476731,7 503160,1 538938 586321 636824 682380 727685 776193 834247 900092 972855 1025672 1006122 989913 988289 969336 958471 965110
France 1103198,8 1135066,6 1151694,2 1206352 1258638 1333059 1390445 1436649 1476006 1539431 1592159 1659580 1746821 1796275 1752722 1800982 1849498 1873450 1899320 1910231
Croatia 14441,5 15989 17803,6 18947,1 18448,1 19634,7 21606,8 23764,5 25696,4 28279,1 30896,3 34021,8 37372,7 41094,9 38916,4 38477,3 38406,7 37266,1 36896,6 36452,3
Italy 809121,5 934336,6 986062,3 1014810,7 1049193,3 1110690,8 1172236,7 1214839,2 1258448,8 1308387 1344306,4 1387889 1446518,9 1473827,4 1422428,1 1444426,4 1471728,5 1449887,2 1448863,2 1450836,6
Cyprus 6963,1 7266,6 7792,5 8521,6 9173,1 9955,9 10631,4 10992,4 11616,6 12558,9 13500 14522,6 15569,8 16726,9 16723 17344,6 17876,8 17772,6 16685,1 15980,2
Latvia 3658,3 4153,3 5064,1 5601,7 6207,7 7582,7 8306,5 9028,8 9297,3 10379,5 12116,4 15143,4 20034,9 21735 16648,2 15618,6 17705,5 19388,3 20252,1 20851,3
Lithuania : : : : : : : : : 16499,3 19009,7 21733,7 26076,5 29349,2 24300,4 25184,9 28132,8 30132,4 31648,6 32776,3
Luxembourg : : : : : 20743,3 21146,2 22296 23162,7 24583,4 26548,7 29982,3 32222 33766 32412,8 35548,4 38217,3 39337,9 40459,5 :
Hungary 29868,4 31225,3 35890,6 37315,5 39440,7 43606,2 51649,3 62053,6 64342,9 71005,3 77430 78867,7 86923,8 91645,6 79225,5 82675,5 85150,8 82831,4 84640,6 86729,3
Malta 2517,5 2708,3 2987,8 3221,3 3428,3 3916,1 4026 4192,9 4254,3 4258,9 4465,4 4681,6 5019,3 5384,4 5356,9 5790,8 6011 6318,5 6584,3 6881,6
Netherlands 309596,6 316812,5 327422,8 347393,9 371805 401992 424604 441588 452900 467539 486403 515986 547518 570887 553689 567757 579590 583832 586734 596655
Austria 165312,3 166723,8 166883,3 173336,1 180719,1 190177,3 196609,8 201881,9 206344,2 215210,7 224777,3 237683,3 251926,3 260532,9 254762,7 261891,7 274896,9 282051,8 287272,6 292960
Poland 95879,5 110821,9 123850,7 137242,7 140057,2 165378,7 188787,3 185350 169382,4 181052,6 214964 239485,9 273714,6 317494,4 279540,6 316895,9 331413,4 342168,4 351914,5 366780,1
Portugal 80207,8 84870 90925,6 96795 104255,2 112568 119144,9 124793,2 127819 133269,8 137599,4 143579,4 152183,2 156016,4 155505,9 158325,9 154242,8 147361,6 148607,1 151190,4
Romania 27113,5 27633 29414,4 33425 30242,9 36656,5 40955,8 43983,1 47129,1 54878 70912,5 86965,7 110871,3 126845,8 108475,7 113249,3 116966,4 117507,3 127271,8 132553,8
Slovenia 13972,2 14565,2 15946,5 17138,5 18295,9 19152,7 20398,6 21887,8 23029,8 24339,8 25689,5 27739,7 30808,7 33229,8 31638,3 31571,2 32107,8 31258,5 31226,6 32172,3
Slovakia 13710 15322,4 17468,2 18235,9 17552,1 19955,3 21620,1 23847,1 27033,7 31122,7 35035 41079,4 50656,2 59700,5 58079,1 61223,1 63581,9 66090,8 67142,8 68471,4
Finland 89939,8 90969,7 97127,3 104035,5 110435 119200 127111 130021 132243 138752 143621 150475 163654 170386 158348 163620 170454 172417 173741 175621
Sweden 176547,4 199370,6 205718,4 209339,2 223589,4 249109,2 236333,7 247218,1 258694,1 271467,5 275627,9 295107,7 314354,8 311174,9 271942,5 324493 356921,6 373843,9 385621,1 380760,9
United Kingdom 849007,4 925135 1137340 1219987,5 1300834,9 1494902,2 1524744,7 1588685,3 1540880,6 1655080,6 1739064,1 1846895,4 1940474 1718889,1 1509693,1 1632803,3 1661056,8 1820203 1795862,3 1977282,5
Iceland : : 5734,7 6442,2 7061,4 8224,2 7890,8 8500,7 8646,1 9421,1 11373 11388,2 13257,8 9404,4 8175 8875,6 9351,6 9752,5 10197,7 :
Norway 100799,9 111633,5 123475,9 118743,1 132160,5 163864 171696,2 183325,7 179313,8 189047,9 221549,3 245600,3 260094,7 285120,6 248449,2 288150,5 320388,9 355419,2 351916,9 337632,9
Switzerland 253092,6 251810,9 244766,2 254830,6 260738 280983,9 297993,5 307385,2 299649,5 304522,1 315060,9 328627,7 335260,1 362113,5 374831,4 422948,8 483648,5 500796 498865,3 :
Former Yugoslav Republic of Macedonia, the
: : : : : 3451,6 3509,6 3496,4 3789,9 3972,9 4320,7 4757,4 5253,6 5805,4 5847,9 6131,4 6496 6561,5 7091,6 :
Albania : : : : : : : : : : : : : : : : : : : :
Serbia : : : : : : : 14666,3 15863 16800,4 17608,7 20296,1 24448,2 28337,5 25683,8 24818,4 28144,3 26559,1 28845,7 27804,3
United States : : : : : : : : : : : : : : : : : : : :
Operating surplus and mixed income, gross (Current prices, million euro)
Source: eurostat, national accounts
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
European Union (28 countries)
: : : : : 3.814.214 3.985.374 4.149.305 4.240.386 4.503.728 4.716.916 5.021.285 5.352.374 5.372.317 4.946.375 5.206.935 5.381.296 5.401.767 5.442.032 5.584.864
Belgium 86.192 85.486 86.264 89.721 92.369 99.013 99.955 102.768 107.279 116.647 123.911 131.444 139.425 140.223 134.797 145.944 151.081 150.182 153.094 156.594
Bulgaria 5.590 4.303 5.930 7.002 6.611 7.636 8.443 9.407 9.777 10.695 11.878 13.570 16.705 18.336 18.231 18.187 20.621 20.251 19.549 19.582
Czech Republic 23.655 26.677 27.687 31.706 32.364 35.621 40.447 45.462 45.952 49.328 56.189 64.326 71.592 82.560 76.574 80.050 82.821 80.089 78.377 79.481
Denmark 51.831 53.395 54.935 53.608 56.482 63.896 64.093 65.153 65.764 70.047 73.094 77.496 76.595 78.744 71.153 79.559 81.740 83.790 83.685 84.375
Germany (until 1990 former territory of the FRG)
760.564 762.606 770.524 791.240 797.952 801.845 843.339 862.680 865.345 913.739 942.648 1.007.814 1.069.744 1.068.675 970.275 1.047.289 1.096.500 1.087.199 1.104.556 1.137.554
Estonia : : : : : 2.691 3.067 3.423 3.854 4.297 5.033 5.953 6.891 6.519 5.161 6.027 7.017 7.456 7.836 7.580
Ireland : : : 39.972 45.930 54.962 62.313 70.559 74.462 78.126 83.900 89.972 96.620 85.767 76.627 81.703 88.066 89.097 87.762 93.069
Greece 64.351 70.594 76.076 77.235 81.094 82.136 86.489 89.762 100.656 109.832 110.559 121.355 128.835 133.143 129.548 120.553 110.750 106.205 102.202 95.038
Spain 206.434 221.601 221.844 233.770 248.589 270.834 296.172 319.075 339.380 362.133 386.878 417.480 450.170 465.182 455.174 445.879 453.354 458.324 458.590 458.068
France 439.744 447.775 456.991 484.682 500.024 534.600 559.472 571.259 585.507 614.214 631.087 664.325 709.868 728.531 678.528 708.464 721.230 718.004 723.851 723.445
Croatia 6.502 7.053 7.730 7.762 7.096 7.508 8.956 9.540 10.371 11.835 13.106 14.726 16.186 17.753 16.162 16.208 16.502 15.790 15.615 15.309
Italy 461.633 530.290 554.064 558.836 580.033 623.154 658.066 675.683 697.051 726.467 734.502 750.758 783.014 793.930 754.053 765.591 782.865 754.857 765.267 759.880
Cyprus 3.767 3.890 4.114 4.586 4.947 5.365 5.756 5.756 5.725 6.150 6.617 7.083 7.488 8.244 8.188 8.520 8.807 9.065 8.847 8.531
Latvia 1.931 2.033 2.532 2.845 3.114 3.956 4.440 5.097 5.225 5.858 6.631 8.077 10.222 10.535 8.310 8.313 9.920 10.958 10.867 10.644
Lithuania : : : : : : : : : 9.137 10.495 11.459 13.751 14.930 12.271 13.651 15.757 17.071 17.866 18.036
Luxembourg : : : : : 9.851 9.260 9.669 10.193 10.742 11.771 13.868 14.554 14.994 13.226 15.519 17.207 17.517 17.363 :
Hungary 13.873 14.887 17.536 18.316 19.704 21.003 25.004 30.063 30.165 33.590 36.497 37.966 40.802 43.285 37.524 39.163 40.939 39.198 40.520 41.578
Malta 1.189 1.310 1.446 1.621 1.720 2.018 1.971 2.124 2.160 2.100 2.266 2.339 2.534 2.723 2.632 2.962 2.989 3.142 3.250 3.392
Netherlands 136.473 140.991 148.086 156.606 164.645 177.410 188.324 193.876 197.597 208.665 222.776 242.797 257.290 265.723 247.083 259.005 263.698 261.721 262.952 265.769
Austria 68.688 70.259 71.259 74.724 77.781 83.339 86.949 90.174 92.521 99.211 105.611 112.697 120.351 121.859 114.784 119.036 125.696 126.486 126.789 128.292
Poland : : : : : : : 98.352 91.899 103.308 123.851 139.132 158.275 176.617 160.689 180.648 191.242 197.952 204.806 :
Portugal 38.092 39.883 42.626 44.973 48.461 51.502 54.624 56.954 57.722 61.693 62.735 66.379 71.705 72.635 72.250 74.260 73.231 72.634 72.922 75.006
Romania 16.353 16.711 19.366 19.472 18.727 20.586 22.262 24.700 27.599 32.684 39.915 50.205 65.528 71.466 63.543 68.180 73.628 74.321 82.303 86.009
Slovenia 5.278 5.675 6.569 7.169 7.749 7.877 8.294 9.077 9.625 10.114 10.677 11.852 13.548 14.422 13.324 13.047 13.413 12.971 13.147 13.963
Slovakia 7.818 8.445 9.545 9.834 9.796 11.156 12.330 13.494 15.636 18.822 20.853 24.855 30.926 36.850 34.410 36.691 37.650 39.169 39.693 39.568
Finland 42.142 41.701 45.585 49.355 52.038 57.088 61.342 62.125 62.647 66.331 67.496 70.929 79.578 80.759 69.867 73.752 76.166 74.698 75.182 76.609
Sweden 76.609 80.018 82.216 82.087 87.177 96.115 87.597 91.746 97.317 104.915 106.909 118.472 123.875 117.890 98.773 125.626 135.887 134.994 138.608 137.129
United Kingdom 366.947 411.660 496.684 508.487 520.693 589.842 582.337 622.707 619.558 664.792 713.152 750.403 782.471 703.638 601.635 654.831 684.164 745.663 735.954 818.255
Iceland : : 2.441 2.598 2.610 2.969 3.071 3.242 3.135 3.425 3.861 3.545 4.328 3.573 3.750 3.987 4.017 4.019 4.157 4.514
Norway 48.881 55.149 60.329 53.165 60.592 86.154 88.798 90.552 90.052 99.361 121.820 136.761 138.970 155.152 122.968 147.886 166.905 184.525 178.446 168.040
Switzerland 108.052 107.813 106.283 111.300 112.416 121.746 124.069 123.359 121.538 127.177 132.509 141.693 146.602 154.851 151.999 177.422 197.881 201.131 197.536 :
Former Yugoslav Republic of Macedonia, the
: : : : : 1.687 1.793 1.778 1.990 2.214 2.588 2.825 3.306 3.562 3.450 3.612 3.876 3.943 4.409 :
Weight Matrix 5 yr avrg 2009-2013 - Gross Operating Surplus and mixed income
Source: own calcs
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
European Union (28 countries)
Belgium 0,18 0,20 0,21 0,20 0,21
Bulgaria 0,19 0,19 0,21 0,21 0,20
Czech Republic 0,19 0,20 0,21 0,20 0,20
Denmark 0,18 0,20 0,20 0,21 0,21
Germany (until 1990 former territory of the FRG) 0,18 0,20 0,21 0,20 0,21
Estonia 0,15 0,18 0,21 0,22 0,23
Ireland 0,18 0,19 0,21 0,21 0,21
Greece 0,23 0,21 0,19 0,19 0,18
Spain 0,20 0,20 0,20 0,20 0,20
France 0,19 0,20 0,20 0,20 0,20
Croatia 0,20 0,20 0,21 0,20 0,19
Italy 0,20 0,20 0,20 0,20 0,20
Cyprus 0,19 0,20 0,20 0,21 0,20
Latvia 0,17 0,17 0,21 0,23 0,22
Lithuania 0,16 0,18 0,21 0,22 0,23
Luxembourg 0,16 0,19 0,21 0,22 0,21
Hungary 0,19 0,20 0,21 0,20 0,21
Malta 0,18 0,20 0,20 0,21 0,22
Netherlands 0,19 0,20 0,20 0,20 0,20
Austria 0,19 0,19 0,21 0,21 0,21
Poland 0,17 0,19 0,20 0,21 0,22
Portugal 0,20 0,20 0,20 0,20 0,20
Romania 0,18 0,19 0,20 0,21 0,23
Slovenia 0,20 0,20 0,20 0,20 0,20
Slovakia 0,18 0,20 0,20 0,21 0,21
Finland 0,19 0,20 0,21 0,20 0,20
Sweden 0,16 0,20 0,21 0,21 0,22
United Kingdom 0,18 0,19 0,20 0,22 0,22
Iceland 0,19 0,20 0,20 0,20 0,21
Norway 0,15 0,18 0,21 0,23 0,22
Switzerland 0,16 0,19 0,21 0,22 0,21
Former Yugoslav Republic of Macedonia, the 0,18 0,19 0,20 0,20 0,23
Weight Matrix 13 yr avrg 2000-2012 - Gross Operating Surplus and mixed income
Source: own calcs
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
European Union (28 countries) 0,06 0,06 0,07 0,07 0,07 0,08 0,08 0,09 0,09 0,08 0,08 0,09 0,09 0,09
Belgium 0,06 0,06 0,06 0,07 0,07 0,08 0,08 0,08 0,09 0,08 0,09 0,09 0,09 0,09
Bulgaria 0,04 0,05 0,05 0,05 0,06 0,06 0,07 0,09 0,10 0,10 0,10 0,11 0,11 0,11
Czech Republic 0,04 0,05 0,06 0,06 0,06 0,07 0,08 0,09 0,10 0,09 0,10 0,10 0,10 0,10
Denmark 0,07 0,07 0,07 0,07 0,07 0,08 0,08 0,08 0,08 0,07 0,08 0,09 0,09 0,09
Germany (until 1990 former territory of the FRG) 0,06 0,07 0,07 0,07 0,07 0,07 0,08 0,09 0,08 0,08 0,08 0,09 0,09 0,09
Estonia 0,04 0,05 0,05 0,06 0,06 0,07 0,09 0,10 0,10 0,08 0,09 0,10 0,11 0,12
Ireland 0,05 0,06 0,07 0,07 0,08 0,08 0,09 0,09 0,08 0,07 0,08 0,09 0,09 0,09
Greece 0,06 0,06 0,06 0,07 0,08 0,08 0,08 0,09 0,09 0,09 0,08 0,08 0,07 0,07
Spain 0,05 0,06 0,06 0,07 0,07 0,08 0,08 0,09 0,09 0,09 0,09 0,09 0,09 0,09
France 0,06 0,07 0,07 0,07 0,07 0,07 0,08 0,08 0,09 0,08 0,08 0,09 0,09 0,09
Croatia 0,04 0,05 0,05 0,06 0,07 0,08 0,08 0,09 0,10 0,09 0,09 0,09 0,09 0,09
Italy 0,07 0,07 0,07 0,07 0,08 0,08 0,08 0,08 0,08 0,08 0,08 0,08 0,08 0,08
Cyprus 0,06 0,06 0,06 0,06 0,07 0,07 0,08 0,08 0,09 0,09 0,09 0,09 0,10 0,10
Latvia 0,04 0,05 0,05 0,05 0,06 0,07 0,08 0,10 0,11 0,09 0,09 0,10 0,11 0,11
Lithuania #VALUE! #VALUE! #VALUE! #VALUE! 0,08 0,09 0,10 0,12 0,13 0,10 0,12 0,13 0,14 0,15
Luxembourg 0,06 0,05 0,06 0,06 0,06 0,07 0,08 0,09 0,09 0,08 0,09 0,10 0,10 0,10
Hungary 0,05 0,05 0,07 0,07 0,07 0,08 0,08 0,09 0,10 0,08 0,09 0,09 0,09 0,09
Malta 0,06 0,06 0,07 0,07 0,07 0,07 0,07 0,08 0,09 0,08 0,09 0,09 0,10 0,10
Netherlands 0,06 0,06 0,06 0,07 0,07 0,07 0,08 0,09 0,09 0,08 0,09 0,09 0,09 0,09
Austria 0,06 0,06 0,06 0,07 0,07 0,08 0,08 0,09 0,09 0,08 0,09 0,09 0,09 0,09
Poland #VALUE! #VALUE! 0,06 0,06 0,06 0,08 0,09 0,10 0,11 0,10 0,11 0,12 0,12 0,13
Portugal 0,06 0,06 0,07 0,07 0,07 0,07 0,08 0,08 0,09 0,09 0,09 0,09 0,09 0,09
Romania 0,03 0,04 0,04 0,04 0,05 0,06 0,08 0,10 0,11 0,10 0,11 0,12 0,12 0,13
Slovenia 0,05 0,06 0,06 0,06 0,07 0,07 0,08 0,09 0,10 0,09 0,09 0,09 0,09 0,09
Slovakia 0,03 0,04 0,04 0,05 0,06 0,06 0,07 0,09 0,11 0,10 0,11 0,11 0,12 0,12
Finland 0,06 0,07 0,07 0,07 0,07 0,07 0,08 0,09 0,09 0,08 0,08 0,08 0,08 0,08
Sweden 0,07 0,06 0,06 0,07 0,07 0,07 0,08 0,09 0,08 0,07 0,09 0,09 0,09 0,10
United Kingdom 0,07 0,07 0,07 0,07 0,08 0,08 0,09 0,09 0,08 0,07 0,08 0,08 0,09 0,08
Iceland 0,06 0,07 0,07 0,07 0,07 0,08 0,08 0,09 0,08 0,08 0,08 0,09 0,09 0,09
Norway 0,05 0,05 0,06 0,06 0,06 0,07 0,08 0,09 0,10 0,08 0,09 0,10 0,11 0,11
Switzerland 0,06 0,06 0,06 0,06 0,07 0,07 0,07 0,08 0,08 0,08 0,09 0,10 0,10 0,10
Former Yugoslav Republic of Macedonia, the 0,05 0,05 0,05 0,05 0,06 0,07 0,08 0,09 0,10 0,09 0,10 0,11 0,11 0,12
ECU-EUR exchange rates (annual averages) :- Units of national currency per EUR/ECU (XNE)
Country Unit 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Belgium
(Annual average- 1 ECU/EUR = ... units of national currency)
0,956 0,974 1,005 1,007 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Bulgaria
(Annual average- 1 ECU/EUR = ... units of national currency)
0,088 0,225 1,902 1,969 1,956 1,952 1,948 1,949 1,949 1,953 1,956 1,956 1,956 1,956 1,956 1,956 1,956 1,956 1,956
Czech Republic
(Annual average- 1 ECU/EUR = ... units of national currency)
34,696 34,457 35,930 36,049 36,884 35,599 34,068 30,804 31,846 31,891 29,782 28,342 27,766 24,946 26,435 25,284 24,590 25,149 25,980
Denmark
(Annual average- 1 ECU/EUR = ... units of national currency)
7,328 7,359 7,484 7,499 7,436 7,454 7,452 7,431 7,431 7,440 7,452 7,459 7,451 7,456 7,446 7,447 7,451 7,444 7,458
Germany
(Annual average- 1 ECU/EUR = ... units of national currency)
0,958 0,976 1,004 1,007 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Estonia
(Annual average- 1 ECU/EUR = ... units of national currency)
0,958 0,976 1,004 1,006 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Ireland
(Annual average- 1 ECU/EUR = ... units of national currency)
1,036 1,007 0,949 0,998 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Greece
(Annual average- 1 ECU/EUR = ... units of national currency)
0,889 0,897 0,908 0,971 0,956 0,988 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Spain
(Annual average- 1 ECU/EUR = ... units of national currency)
0,980 0,966 0,997 1,005 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
France
(Annual average- 1 ECU/EUR = ... units of national currency)
0,995 0,990 1,008 1,006 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Croatia
(Annual average- 1 ECU/EUR = ... units of national currency)
6,836 6,897 6,980 7,128 7,581 7,643 7,482 7,413 7,569 7,497 7,401 7,325 7,338 7,224 7,340 7,289 7,439 7,522 7,579
Italy
(Annual average- 1 ECU/EUR = ... units of national currency)
1,100 1,012 0,996 1,004 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Cyprus
(Annual average- 1 ECU/EUR = ... units of national currency)
1,011 1,011 0,995 0,990 0,989 0,981 0,984 0,983 0,998 0,994 0,986 0,984 0,995 1,000 1,000 1,000 1,000 1,000 1,000
Latvia
(Annual average- 1 ECU/EUR = ... units of national currency)
0,981 0,995 0,938 0,939 0,890 0,796 0,797 0,827 0,912 0,947 0,991 0,991 0,996 1,000 1,004 1,008 1,005 0,992 0,998
Lithuania
(Annual average- 1 ECU/EUR = ... units of national currency)
1,515 1,471 1,314 1,299 1,235 1,070 1,038 1,002 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Luxembourg
(Annual average- 1 ECU/EUR = ... units of national currency)
0,956 0,974 1,005 1,007 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Hungary
(Annual average- 1 ECU/EUR = ... units of national currency)
164,545 193,758 211,654 240,573 252,767 260,045 256,591 242,958 253,618 251,656 248,054 264,263 251,352 251,512 280,327 275,480 279,373 289,249 296,873
Malta
(Annual average- 1 ECU/EUR = ... units of national currency)
1,075 1,066 1,019 1,013 0,992 0,941 0,939 0,952 0,993 0,997 1,001 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Netherlands
(Annual average- 1 ECU/EUR = ... units of national currency)
0,952 0,971 1,003 1,007 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Austria
(Annual average- 1 ECU/EUR = ... units of national currency)
0,958 0,976 1,005 1,007 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Poland
(Annual average- 1 ECU/EUR = ... units of national currency)
3,170 3,422 3,715 3,916 4,227 4,008 3,672 3,857 4,400 4,527 4,023 3,896 3,784 3,512 4,328 3,995 4,121 4,185 4,197
Portugal
(Annual average- 1 ECU/EUR = ... units of national currency)
0,978 0,976 0,991 1,006 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Romania
(Annual average- 1 ECU/EUR = ... units of national currency)
0,266 0,392 0,811 0,998 1,635 1,992 2,600 3,127 3,755 4,051 3,621 3,526 3,335 3,683 4,240 4,212 4,239 4,459 4,419
Slovenia
(Annual average- 1 ECU/EUR = ... units of national currency)
0,646 0,717 0,755 0,776 0,812 0,862 0,910 0,943 0,976 0,998 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Slovakia
(Annual average- 1 ECU/EUR = ... units of national currency)
1,290 1,292 1,265 1,313 1,465 1,414 1,437 1,417 1,377 1,328 1,281 1,236 1,121 1,038 1,000 1,000 1,000 1,000 1,000
Finland
(Annual average- 1 ECU/EUR = ... units of national currency)
0,960 0,980 0,989 1,006 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Sweden
(Annual average- 1 ECU/EUR = ... units of national currency)
9,332 8,515 8,651 8,916 8,808 8,445 9,255 9,161 9,124 9,124 9,282 9,254 9,250 9,615 10,619 9,537 9,030 8,704 8,652
United Kingdom
(Annual average- 1 ECU/EUR = ... units of national currency)
0,829 0,814 0,692 0,676 0,659 0,609 0,622 0,629 0,692 0,679 0,684 0,682 0,684 0,796 0,891 0,858 0,868 0,811 0,849
Macedonia FYR
(Annual average- 1 ECU/EUR = ... units of national currency)
49,539 50,749 56,685 60,985 60,618 60,726 60,913 60,979 61,263 61,337 61,297 61,190 61,173 61,520 61,282 61,519 61,480 61,524 61,502
Iceland
(Annual average- 1 ECU/EUR = ... units of national currency)
84,685 84,656 80,439 79,698 77,182 72,585 87,417 86,178 86,648 87,140 78,226 87,757 87,634 143,829 172,667 161,890 161,420 160,730 162,380
Turkey
(Annual average- 1 ECU/EUR = ... units of national currency)
0,060 0,103 0,172 0,294 0,447 0,575 1,102 1,440 1,695 1,777 1,677 1,809 1,786 1,906 2,163 1,997 2,338 2,314 2,534
Montenegro
(Annual average- 1 ECU/EUR = ... units of national currency)
NA NA NA NA NA 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000 1,000
Serbia
(Annual average- 1 ECU/EUR = ... units of national currency)
NA NA 6,702 11,232 12,424 58,196 59,877 60,658 65,131 72,702 83,000 84,105 79,964 81,441 93,952 103,043 101,959 113,022 113,100
Albania
(Annual average- 1 ECU/EUR = ... units of national currency)
121,370 132,694 168,895 168,876 146,747 132,578 129,037 132,361 137,507 127,673 124,187 123,082 123,625 122,803 132,058 137,786 140,330 139,040 140,271
Norway
(Annual average- 1 ECU/EUR = ... units of national currency)
8,286 8,197 8,019 8,466 8,310 8,113 8,048 7,509 8,003 8,370 8,009 8,047 8,017 8,224 8,728 8,004 7,793 7,475 7,807
Switzerland
(Annual average- 1 ECU/EUR = ... units of national currency)
1,546 1,568 1,644 1,622 1,600 1,558 1,511 1,467 1,521 1,544 1,548 1,573 1,643 1,587 1,510 1,380 1,233 1,205 1,231
United States
(Annual average- 1 ECU/EUR = ... units of national currency)
1,308 1,270 1,134 1,121 1,066 0,924 0,896 0,946 1,131 1,244 1,244 1,256 1,370 1,471 1,395 1,326 1,392 1,285 1,328
Japan
(Annual average- 1 ECU/EUR = ... units of national currency)
123,012 138,084 137,076 146,415 121,317 99,475 108,682 118,063 130,971 134,445 136,849 146,015 161,253 152,454 130,337 116,239 110,959 102,492 129,663
Canada
(Annual average- 1 ECU/EUR = ... units of national currency)
1,795 1,731 1,569 1,665 1,584 1,371 1,386 1,484 1,582 1,617 1,509 1,424 1,468 1,559 1,585 1,365 1,376 1,284 1,368
Mexico
(Annual average- 1 ECU/EUR = ... units of national currency)
8,437 9,653 8,978 10,300 10,195 8,736 8,371 9,165 12,214 14,043 13,564 13,694 14,985 16,291 18,799 16,737 17,288 16,903 16,964
Korea
(Annual average- 1 ECU/EUR = ... units of national currency)
1013,630 1007,970 1050,420 1565,610 1267,260 1043,500 1154,826 1175,496 1346,904 1422,620 1273,609 1198,581 1272,988 1606,087 1772,904 1531,821 1541,234 1447,691 1453,912
Australia
(Annual average- 1 ECU/EUR = ... units of national currency)
1,765 1,623 1,528 1,787 1,652 1,589 1,732 1,738 1,738 1,690 1,632 1,667 1,635 1,742 1,773 1,442 1,348 1,241 1,378
New Zealand
(Annual average- 1 ECU/EUR = ... units of national currency)
1,993 1,847 1,715 2,097 2,015 2,029 2,130 2,037 1,944 1,873 1,766 1,937 1,863 2,077 2,212 1,838 1,760 1,587 1,621
Net Operating Surplus: Adjusted for imputed compensation of self-employed (UQND)
EUR millions
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Belgium 27.985 26.074 26.264 27.409 26.825 30.596 28.663 29.105 30.445 37.062 40.834 43.242 46.403 41.305 33.192 40.005 40.525 35.271 34.998
Bulgaria 3.275 2.589 4.087 3.765 3.100 3.982 4.233 4.749 4.606 5.069 5.533 6.678 8.648 9.565 8.536 7.671 9.922 9.458 8.125
Czech Republic 11.627 12.916 12.663 14.970 14.782 16.016 18.663 20.114 19.828 21.947 26.016 30.721 34.483 38.961 34.169 34.530 35.005 32.582 31.582
Denmark 21.747 22.438 22.837 20.434 21.469 27.679 25.759 24.668 23.706 26.816 28.657 31.239 27.420 25.490 19.861 27.499 28.669 29.237 28.491
Germany 319.968 319.644 329.670 341.312 334.648 322.051 348.836 356.821 351.415 387.744 404.345 455.682 494.961 474.579 365.915 430.861 458.149 428.250 434.407
Estonia 538 817 1.041 1.271 1.421 1.657 1.961 2.187 2.394 2.580 3.182 3.714 4.073 3.529 2.118 2.982 3.834 4.020 4.034
Ireland 12.430 14.864 19.896 22.612 27.183 33.134 39.172 46.545 47.870 48.625 50.089 50.855 53.566 44.201 39.803 43.892 50.833 52.230 48.920
Greece 30.356 33.665 35.639 35.576 36.848 37.257 39.804 39.128 44.145 50.280 44.273 52.483 56.280 56.399 49.483 42.998 36.577 35.977 38.085
Spain 88.106 96.439 97.066 104.457 110.087 120.568 135.425 148.440 157.531 165.295 174.155 187.997 204.102 203.214 192.728 181.005 187.097 191.580 193.241
France 162.297 164.182 174.273 195.510 199.702 218.594 229.884 228.463 231.033 242.685 240.981 251.154 275.192 270.194 213.901 230.228 223.950 213.576 204.224
Croatia #VALUE! 1.726 1.606 778 254 307 752 925 852 1.423 2.721 3.366 3.815 4.434 2.866 2.638 3.323 3.686 4.023
Italy 164.050 186.611 190.749 190.746 199.273 223.106 241.920 239.284 237.882 244.892 241.826 237.547 250.902 243.350 199.232 192.251 197.036 164.168 175.282
Cyprus 1.748 1.762 1.846 2.215 2.469 2.721 3.005 2.874 2.602 2.802 3.077 3.466 3.761 4.430 4.346 4.592 4.754 5.139 5.048
Latvia 35 4- 6 169 314 886 1.353 1.941 2.104 2.512 2.882 3.185 4.078 3.811 2.752 2.811 3.940 4.316 4.308
Lithuania 1.037 1.384 1.757 1.921 1.773 2.940 3.586 3.957 4.449 5.121 6.118 6.423 8.252 9.091 6.656 8.219 10.149 11.051 11.393
Luxembourg 4.728 4.878 4.599 4.838 6.066 6.447 5.516 5.603 5.962 6.291 7.033 8.901 9.280 9.370 7.348 9.490 10.907 10.918 10.353
Hungary 3.757 3.971 5.526 6.283 6.648 6.890 9.395 12.444 12.439 14.524 16.357 17.702 18.439 19.626 15.504 16.165 17.560 15.809 17.779
Malta 594 677 767 891 948 1.123 1.021 1.117 1.190 1.110 1.282 1.279 1.423 1.548 1.398 1.680 1.629 1.687 1.818
Netherlands 46.989 48.412 55.410 60.919 62.079 70.502 74.162 72.952 72.285 75.918 83.686 96.369 104.220 106.462 86.437 94.621 95.723 85.486 79.387
Austria 24.419 24.537 25.306 27.071 27.809 30.620 32.055 33.064 33.721 38.906 42.897 47.393 53.005 51.157 42.196 45.343 49.005 46.974 45.008
Poland 14.481 14.668 17.521 21.704 22.383 31.275 31.791 35.111 35.883 47.259 59.189 70.038 83.266 91.076 89.375 100.140 109.451 114.550 119.188
Portugal 12.880 12.783 13.960 14.788 16.295 16.304 16.891 17.597 16.861 20.068 19.533 22.060 26.056 24.980 24.780 26.495 25.593 26.485 27.212
Romania 1.442 1.732 4.758 629 2.005 878- 2.513- 3.040 4.314 10.351 9.422 16.264 24.573 24.936 21.084 22.630 27.786 29.141 34.880
Slovenia 304 490 1.009 1.182 1.475 1.140 1.287 1.710 2.023 2.078 2.225 2.871 3.872 3.932 2.267 1.621 1.720 1.263 1.188
Slovakia 3.906 4.069 4.512 4.531 4.566 5.167 5.968 6.417 7.564 9.624 10.475 13.362 17.415 20.695 16.784 18.370 18.390 19.392 19.294
Finland 15.762 15.092 18.078 21.314 22.212 25.177 27.792 27.781 27.443 29.491 28.684 30.000 36.096 34.195 22.124 25.954 26.399 22.670 22.697
Sweden 42.684 40.759 41.169 40.084 41.243 43.962 36.838 38.302 43.275 49.007 49.615 57.948 59.545 52.025 35.859 54.012 58.895 53.018 54.816
United Kingdom 159.163 191.910 233.030 233.570 223.352 255.110 232.156 255.668 264.182 279.963 314.309 317.826 326.580 312.948 244.869 269.447 292.884 310.490 306.079
Net Operating Surplus:
NOT Adjusted for imputed compensation of self-employed (UQND)
EUR millions
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Belgium 52.443 50.725 50.945 52.351 52.812 56.982 55.779 57.001 58.885 66.131 70.548 74.247 78.828 75.362 67.871 75.450 77.532 73.987 75.065
Bulgaria 4.548 3.522 5.185 5.516 4.934 5.985 6.580 7.232 7.222 7.895 8.622 9.991 12.403 14.047 13.348 12.827 15.208 14.905 14.145
Czech Republic 14.014 15.779 15.718 18.565 18.646 20.375 23.602 26.409 26.818 29.226 33.763 39.490 44.092 50.030 44.760 46.443 47.716 45.116 43.528
Denmark 28.526 29.372 29.714 27.444 28.798 35.045 33.393 32.802 32.011 34.968 37.028 39.901 36.471 34.841 29.388 37.027 38.328 38.949 38.364
Germany 437.452 437.884 447.101 461.012 457.292 446.668 476.349 487.485 486.106 527.143 549.073 604.293 646.342 628.334 519.369 588.312 622.271 596.443 602.467
Estonia 645 961 1.217 1.486 1.646 1.922 2.234 2.480 2.767 3.039 3.604 4.246 4.832 4.242 2.778 3.636 4.553 4.822 4.934
Ireland 18.366 21.246 27.237 30.672 35.905 42.600 49.472 57.402 59.446 61.274 63.538 64.962 69.765 61.684 55.882 58.149 64.583 66.049 64.105
Greece 51.176 56.109 60.519 61.299 63.845 64.234 67.220 69.337 76.217 83.909 83.266 91.860 97.076 98.470 92.832 83.099 73.324 69.178 67.733
Spain 145.108 155.300 152.884 162.041 169.495 182.832 200.687 215.459 226.545 237.451 249.364 266.329 286.406 290.924 278.174 263.854 268.883 272.654 276.372
France 250.295 252.472 260.445 281.999 287.693 308.405 320.903 321.988 326.862 342.739 345.192 359.871 387.932 386.476 332.598 354.282 353.985 347.380 341.530
Croatia 3.532 4.101 4.513 4.356 3.716 3.925 4.422 4.974 5.353 6.169 7.742 8.780 9.705 10.633 8.906 8.902 9.467 9.022 8.822
Italy 329.907 379.904 394.509 393.329 407.495 439.717 465.068 471.098 484.902 503.797 501.192 506.876 527.665 527.106 482.081 484.080 491.737 458.159 466.995
Cyprus 2.734 2.785 2.929 3.337 3.661 4.018 4.350 4.277 4.189 4.476 4.824 5.179 5.484 6.067 6.014 6.256 6.463 6.685 6.437
Latvia 332 355 601 726 899 1.519 2.026 2.580 2.724 3.209 3.628 4.155 5.335 5.154 3.889 3.811 4.980 5.459 5.601
Lithuania 1.478 2.133 2.819 2.984 2.876 4.135 4.870 5.427 6.114 6.799 7.903 8.549 10.365 10.988 8.287 9.619 11.606 12.664 13.220
Luxembourg 5.394 5.554 5.282 5.532 6.803 7.233 6.363 6.490 6.873 7.263 8.065 9.971 10.424 10.580 8.592 10.784 12.263 12.324 11.841
Hungary 7.120 7.632 9.568 10.201 10.818 11.282 14.183 18.041 17.900 20.461 22.377 23.440 24.543 25.946 20.846 21.466 22.880 21.077 22.607
Malta 779 867 971 1.102 1.171 1.379 1.281 1.390 1.477 1.407 1.590 1.603 1.770 1.921 1.795 2.086 2.052 2.156 2.286
Netherlands 80.321 82.557 89.953 95.947 98.568 108.163 112.429 112.738 113.408 119.197 128.793 144.356 156.268 161.226 142.729 152.023 156.630 148.721 144.847
Austria 39.367 40.392 41.048 43.296 44.809 48.572 50.442 52.273 53.271 58.517 63.029 68.478 74.115 73.011 64.368 67.490 71.971 70.533 69.158
Poland 32.980 36.583 41.182 46.491 47.272 60.327 66.806 68.329 64.179 74.946 90.440 102.427 118.382 132.369 123.931 139.971 150.238 155.127 159.997
Portugal 23.986 24.985 26.965 28.503 30.652 31.854 33.508 34.436 34.223 37.030 36.839 39.337 43.461 42.728 42.152 43.295 41.802 42.083 42.844
Romania 9.179 9.142 11.834 11.419 11.523 12.423 13.221 13.814 16.516 20.884 25.148 33.334 45.454 49.426 42.518 46.028 48.765 49.439 55.404
Slovenia 2.411 2.551 3.214 3.491 3.901 3.610 3.849 4.453 4.814 4.990 5.253 6.103 7.376 7.754 6.260 5.784 5.970 5.483 5.706
Slovakia 4.418 4.664 5.256 5.376 5.412 6.163 7.036 7.647 9.041 11.540 12.751 16.012 20.773 24.959 21.559 23.344 23.365 24.369 24.285
Finland 23.622 23.033 26.214 29.252 30.670 33.998 36.711 36.734 36.515 38.917 38.511 40.520 47.152 45.992 34.472 38.413 39.585 36.432 36.428
Sweden 49.180 48.246 48.932 47.488 49.169 52.718 44.860 46.400 51.093 57.351 58.053 66.904 69.147 61.159 44.458 64.032 69.366 63.945 65.920
United Kingdom 230.752 266.368 322.572 328.153 324.127 367.730 349.645 376.886 386.960 412.605 451.171 466.960 486.448 452.913 373.270 412.917 438.746 475.892 468.218
Efficiency Calculations
Rate Rev Base Rate x Base Eff Rate Rev Base Rate x Base Eff Weights 2013
Avrg 09-13
2013
Avrg 09-13
2013
Avrg 09-13
nat cur mil
nat cur mil
nat cur nat cur nat cur nat cur
Belgium 34,0 12.294 34.998 11.899 103% 34,0 10.410 36.798 12.511 83% 1,79% 9.139 9.418 3.155- 992- -395 2.102
Bulgaria 10,0 786 8.125 813 97% 10,0 724 8.742 874 83% 0,42% 624 658 162- 66- 26 151
Czech Republic 19,0 5.093 31.582 6.001 85% 19,2 5.091 33.573 6.444 79% 1,55% 4.609 4.850 484- 240- 907 1.353
Denmark 25,0 6.756 28.491 7.123 95% 25,0 5.737 26.751 6.688 86% 1,35% 5.471 5.034 1.285- 702- 367 951
Germany 30,2 70.215 434.407 131.191 54% 30,2 60.765 423.516 127.902 48% 11,80% 100.764 96.278 30.549 35.513 60.976 67.137
Estonia 21,0 62 4.034 847 7% 21,0 45 3.398 714 6% 0,01% 651 537 589 492 785 668
Ireland 12,5 4.272 48.920 6.115 70% 12,5 3.964 47.136 5.892 67% 1,86% 4.697 4.435 425 471 1.843 1.928
Greece 26,0 2.429 38.085 9.902 25% 25,3 4.200 40.624 10.293 41% 0,97% 7.605 7.748 5.176 3.549 7.473 6.094
Spain 30,0 : 193.241 57.972 30,0 #DIV/0! - 44.527 -
France 36,1 56.120 204.224 73.725 76% 35,1 47.241 217.176 76.208 62% 7,89% 56.626 57.365 506 10.124 17.605 28.967
Croatia 20,0 890 4.023 805 111% 20,0 966 3.307 661 146% 0,28% 618 498 272- 468- -85 305-
Italy 31,4 40.377 175.282 55.038 73% 31,4 37.604 185.594 58.276 65% 7,02% 42.274 43.867 1.897 6.264 14.662 20.673
Cyprus 12,5 1.171 5.048 631 186% 10,5 1.137 4.776 502 227% 0,63% 485 378 687- 759- -540 635-
Latvia 15,0 370 4.308 646 57% 15,0 295 3.625 544 54% 0,12% 496 409 126 114 276 249
Lithuania 15,0 477 11.393 1.709 28% 15,8 386 9.493 1.500 26% 0,14% 1.313 1.129 836 744 1.232 1.114
Luxembourg 29,2 2.213 10.353 3.023 73% 28,8 2.201 9.803 2.825 78% 0,45% 2.322 2.126 109 74- 810 624
Hungary 20,6 : 17.779 3.663 20,7 #DIV/0! - 2.813 -
Malta 35,0 421 1.818 636 66% 35,0 344 1.642 575 60% 0,06% 489 433 68 89 215 231
Netherlands 25,0 14.074 79.387 19.847 71% 25,2 13.940 88.331 22.255 63% 3,24% 15.244 16.753 1.170 2.813 5.773 8.316
Austria 25,0 7.251 45.008 11.252 64% 25,0 6.265 45.705 11.426 55% 1,47% 8.642 8.601 1.391 2.336 4.001 5.161
Poland 19,0 6.993 119.188 22.646 31% 19,0 7.381 106.541 20.243 36% 2,28% 17.394 15.238 10.401 7.857 15.653 12.862
Portugal 31,5 5.537 27.212 8.572 65% 29,5 5.089 26.113 7.704 66% 1,01% 6.584 5.799 1.047 710 3.035 2.615
Romania 16,0 2.931 34.880 5.581 53% 16,0 2.977 27.104 4.337 69% 1,09% 4.286 3.264 1.356 288 2.650 1.360
Slovenia 17,0 433 1.188 202 214% 19,2 562 1.612 310 182% 0,17% 155 233 278- 329- -231 252-
Slovakia 23,0 2.118 19.294 4.438 48% 19,8 1.754 18.446 3.661 48% 0,52% 3.408 2.756 1.291 1.002 2.320 1.907
Finland 24,5 : 22.697 5.561 25,4 #DIV/0! - 4.271 -
Sweden 22,0 11.912 54.816 12.059 99% 25,4 11.164 51.320 13.015 86% 2,58% 9.263 9.797 2.649- 1.367- 148 1.851
United Kingdom 23,0 49.713 306.079 70.398 71% 25,7 50.047 284.754 73.049 69% 11,44% 54.071 54.987 4.358 4.941 20.685 23.002
77% average 75% 52.323 72.308 160.192 188.122
weighted-avrg 60%
2013
5-Yr Average (2009-2013)
RWS - Method 1
RWS - Rev
RWS - Method 2
2013 2009-13
Estonia 0,07 0,06
Lithuania 0,28 0,26
Poland 0,31 0,36
Greece 0,25 0,41
Germany 0,54 0,48
Slovakia 0,48 0,48
Latvia 0,57 0,54
Austria 0,64 0,55
Malta 0,66 0,60
France 0,76 0,62
Netherlands 0,71 0,63
Italy 0,73 0,65
Portugal 0,65 0,66
Ireland 0,70 0,67
United Kingdom 0,71 0,69
Romania 0,53 0,69
Luxembourg 0,73 0,78
Czech Republic 0,85 0,79
Bulgaria 0,97 0,83
Belgium 1,03 0,83
Sweden 0,99 0,86
Denmark 0,95 0,86
Croatia 1,11 1,46
Slovenia 2,14 1,82
Cyprus 1,86 2,27
NOS incl. adj for SE
0,00
0,50
1,00
1,50
2,00
2,50
Estonia
Lithuania
Poland
Greece
Germany
Slovakia
Latvia
Austria
Malta
France
Netherlands
Italy
Portugal
Ireland
United Kingdom
Romania
Luxembourg
Czech Republic
Bulgaria
Belgium
Sweden
Denmark
Croatia
Slovenia
Cyprus
Efficiency (NOS adj. for SE)
2013
2009-13
Efficiency Calculations
Rate Rev Base Rate x Base Eff Rate Rev Base Rate x Base Eff Weights 2013
Avrg 09-13
2013
Avrg 09-13
nat cur mil
nat cur mil
nat cur nat cur nat cur nat cur
Belgium 34,0 12.294 75.065 25.522 48% 34,0 10.410 73.981 25.154 41% 1,12% 12.149 11.840 145- 1.430
Bulgaria 10,0 786 14.145 1.414 56% 10,0 724 14.087 1.409 51% 0,26% 673 663 113- 61-
Czech Republic 19,0 5.093 43.528 8.270 62% 19,2 5.091 45.512 8.735 58% 0,97% 3.937 4.112 1.156- 979-
Denmark 25,0 6.756 38.364 9.591 70% 25,0 5.737 36.411 9.103 63% 0,84% 4.565 4.285 2.190- 1.452-
Germany 30,2 70.215 602.467 181.945 39% 30,2 60.765 585.772 176.903 34% 7,33% 86.608 83.270 16.393 22.505
Estonia 21,0 62 4.934 1.036 6% 21,0 45 4.145 870 5% 0,01% 493 410 431 364
Ireland 12,5 4.272 64.105 8.013 53% 12,5 3.964 61.753 7.719 51% 1,16% 3.814 3.634 458- 330-
Greece 26,0 2.429 67.733 17.610 14% 25,3 4.200 77.233 19.569 21% 0,60% 8.383 9.211 5.954 5.012
Spain 30,0 : 276.372 82.912 30,0 #DIV/0! - 39.467 -
France 36,1 56.120 341.530 123.292 46% 35,1 47.241 345.955 121.397 39% 4,90% 58.689 57.143 2.569 9.902
Croatia 20,0 890 8.822 1.764 50% 20,0 966 9.024 1.805 54% 0,18% 840 850 50- 117-
Italy 31,4 40.377 466.995 146.636 28% 31,4 37.604 476.610 149.656 25% 4,36% 69.801 70.444 29.424 32.841
Cyprus 12,5 1.171 6.437 805 146% 10,5 1.137 6.371 670 170% 0,39% 383 315 788- 822-
Latvia 15,0 370 5.601 840 44% 15,0 295 4.748 712 41% 0,07% 400 335 30 40
Lithuania 15,0 477 13.220 1.983 24% 15,8 386 11.079 1.751 22% 0,09% 944 824 467 438
Luxembourg 29,2 2.213 11.841 3.458 64% 28,8 2.201 11.161 3.216 68% 0,28% 1.646 1.514 567- 687-
Hungary 20,6 : 22.607 4.657 20,7 #DIV/0! - 2.217 -
Malta 35,0 421 2.286 800 53% 35,0 344 2.075 726 47% 0,04% 381 342 40- 2-
Netherlands 25,0 14.074 144.847 36.212 39% 25,2 13.940 148.990 37.539 37% 2,02% 17.237 17.670 3.163 3.730
Austria 25,0 7.251 69.158 17.289 42% 25,0 6.265 68.704 17.176 36% 0,91% 8.230 8.085 979 1.820
Poland 19,0 6.993 159.997 30.399 23% 19,0 7.381 145.853 27.712 27% 1,42% 14.470 13.044 7.478 5.664
Portugal 31,5 5.537 42.844 13.496 41% 29,5 5.089 42.435 12.519 41% 0,63% 6.424 5.893 888 804
Romania 16,0 2.931 55.404 8.865 33% 16,0 2.977 48.431 7.749 38% 0,68% 4.220 3.648 1.289 671
Slovenia 17,0 433 5.706 970 45% 19,2 562 5.841 1.122 50% 0,11% 462 528 29 34-
Slovakia 23,0 2.118 24.285 5.586 38% 19,8 1.754 23.384 4.641 38% 0,32% 2.659 2.185 541 431
Finland 24,5 : 36.428 8.925 25,4 #DIV/0! - 4.248 -
Sweden 22,0 11.912 65.920 14.502 82% 25,4 11.164 61.544 15.607 72% 1,60% 6.903 7.347 5.009- 3.817-
United Kingdom 23,0 49.713 468.218 107.690 46% 25,7 50.047 433.809 111.287 45% 7,11% 51.262 52.384 1.549 2.337
48% average 47% 60.666 79.688
weighted-avrg 37%
2013
5-Yr Average (2009-2013)
RWS
RWS - Rev
NOS excl. adj for SE
2013 2009-13
Estonia 0,06 0,05
Greece 0,14 0,21
Lithuania 0,24 0,22
Italy 0,28 0,25
Poland 0,23 0,27
Germany 0,39 0,34
Austria 0,42 0,36
Netherlands
0,39 0,37
Slovakia 0,38 0,38
Romania 0,33 0,38
France 0,46 0,39
Portugal 0,41 0,41
Belgium 0,48 0,41
Latvia 0,44 0,41
United Kingdom
0,46 0,45
Malta 0,53 0,47
Slovenia 0,45 0,50
Ireland 0,53 0,51
Bulgaria 0,56 0,51
Croatia 0,50 0,54
Czech Republic
0,62 0,58
Denmark 0,70 0,63
Luxembourg
0,64 0,68
Sweden 0,82 0,72
Cyprus 1,46 1,70
0,00
0,20
0,40
0,60
0,80
1,00
1,20
1,40
1,60
1,80
Efficiency (NOS excl. adj for SE)
2013
2009-13
This is a publication of the European Added Value Unit
EPRS | European Parliamentary Research Service
European Parliament
The content of this document is the sole responsibility of the author and any opinions expressed therein
do not necessarily represent the official position of the European Parliament. It is addressed to the
Members and staff of the EP for their parliamentary work
PE: 558.773
ISBN 978-92-823-7991-2
doi:10.2861/386200
QA-04-15-644-EN-N
www.europarl.europa.eu/thinktank (Internet) www.epthinktank.eu (blog) www.eprs.sso.ep.parl.union.eu (Intranet)
This paper assesses the loss of tax revenue to the EU
through aggressive corporate tax planning to be around EUR
50-70 billion per annum. On an assumption of no base from
sources other than profit shifting, then this figure jumps to
EUR 160-190 billion. The paper presents the methodology
used and the country-by-country calculations on which these
figures are based. It describes the common tools used in
aggressive planning, and the impacts these have on tax
revenue, concluding with an assessment of the inefficiencies
created by individual tax arrangements for large
multinational companies in the European Union.