We find that banks use their affiliated leasing firms to provide credit to constrained clients in order to circumvent the government’s targeted monetary tightening policy, which offsets the expected decline in traditional bank loans in overcapacity industries and hampers the effectiveness of the monetary policy. Although this regulatory arbitrage may cause systemic risk at the macro level, bank-affiliated leasing firms...
We provide a rigorous examination of the causal impact of human mobility restrictions, particularly the lockdown of the city of Wuhan on January 23, 2020, on the containment and delay of the spread of the Novel Coronavirus (2019-nCoV) in China. We employ various difference-in-differences strategies to disentangle the lockdown effect on human mobility reductions from other confounding effects, including a panic effect, a virus deterrence effect, and a Spring Festival effect...
The “China shock” operated in part through the U.S. housing market, which is one important reason the China shock was as big as it was. If housing prices had not responded at all to the China shock, then the total employment effect would have been reduced by more than one-half. Even when fully recognizing that housing prices responded to the China shock, the independent employment effect of the China shock is still reduced by around 30%.
In Shanghai, housing entitlements with enrollment access to a good public primary school is associated with a 0.1-0.35 percentage point lower annual rental yield. This rental yield gap is the opportunity cost of securing such housing, which is within the affordability range of most middle-income families in Shanghai. This implies that, should there be no credit constraint for homeownership, children from middle-income families should have a higher likelihood of accessing better public education. We find, however, that the enrollment rights between homeowners and renters, together with the credit constraint to own a home, actually lowers the chance of children from middle-income families of attending better public schools relative to those children from families with high initial wealth. This resulting reduced intergeneration mobility exacerbates the social inequality in China.
We infer the impact of the US-China tariff war on China’s economy, using high-frequency satellite data on nighttime luminosity. Through a grid-level panel analysis, we find evidence that the US tariffs levied between 2018–2019 on China’s exports had a negative impact on income per capita and manufacturing employment that was very skewed across locations within China. By contrast, China’s retaliatory tariffs on imports from the United States did not have a discernible impact on economic outcomes at the local level.