HISTORICAL PATTERNS AND RECENT IMPACTS 15
prices which then became benchmarks for other buildings. In this way, Chinese money had
inflated real estate values for a long time. With its removal, the prices of surrounding buildings
have fallen back down (“Spotlight on China”, 2022).
Additionally, research from Wharton professor Benjamin Keys suggests that Chinese
investors also have a significant impact on housing prices in locations with high foreign-born
Chinese ethnic people. According to the findings in their research paper titled “Global Capital
and local Assets: House Prices, Quantities, and Elasticities”, housing prices grew 8 percent more
in zip codes with high foreign-born Chinese populations from 2012 to 2018 (Gorback & Keys,
2020). Another study titled “Capital Flows, Asset Prices, and the Real Economy: A "China
Shock" in the U.S. Real Estate Market” further supports the notion that foreign Chinese
investments have a significant effect on local housing and labor markets. The study found that a
one standard deviation increase in exposure to these purchases explains 24% and 18% of the
cross-ZIP-code variation in local house prices, exacerbating the current worries about housing
affordability and driving out lower-income residents (Li et al., 2020). Additionally, a 1% increase
in housing demand by foreign Chinese, increased local home prices by 0.099% and 0.173%,
respectively (Li et al., 2020). In regards to driving out local low-income residents, they found a
slightly negative relationship between foreign Chinese housing transactions and the number of
tax filings, suggesting that foreign Chinese house purchases drive out local residents on the net.
They concluded that a 1% increase in foreign Chinese housing demand, as measured by
transaction value and count, decreases the number of tax filings by 0.04% and 0.07%,
respectively (Li et al., 2020). Finally, research conducted by Iacob Koch-Weser and Garland Ditz
found that by buying homes chiefly for investment purposes, Chinese buyers can worsen housing
bubbles (Koch-Weser & Ditz, 2015). For example, in San Francisco, the real estate cycles are