The decade from 2010 to 2019 marked a significant turning point in China’s approach to environmental regulation and pollution. This review article examines recent trends in air and water quality, with a focus on the five years following the Chinese government’s announcement of its “war on pollution” in 2014. It also summarizes the emerging literature that has taken advantage of recent improvements in data availability and accuracy to understand the social, economic, and health impacts of environmental pollution in China.
We study household financial choices in China and compare them with those in the US. We estimate a structural model where the two countries differ in terms of preferences and institutional arrangements. In the structural estimation, we take into account the effects of important structural changes in the Chinese economy between 1990-2000.
We document that since December 2015 the People’s Bank of China (PBC) has followed a “two-pillar” exchange rate policy that aims to achieve both stability and flexibility. Based on a no-arbitrage model and options price data we estimate the credibility of the policy as well as its impact on the RMB/USD exchange rate. The model was able to correctly forecast the end of the two-pillar policy in May 2017.
In this paper, we show that a general equilibrium model that properly captures the risks in old age, the role of family insurance, changes in demographics, and the productivity growth rate is capable of generating changes in the national saving rate in China that mimic the data well. Our findings suggest that the combination of the risks faced by the elderly and the deterioration of family insurance due to the one-child policy may account for approximately half of the increase in the saving rate between 1980 and 2010. We also show that changes in total factor productivity growth account for the fluctuations in the saving rate during this period.
The authors find that margin investors heavily sell their holdings when their account-level leverage edges toward the maximum leverage limits. Stocks that are disproportionately held by accounts close to leverage limits experience high selling pressure and abnormal price declines that subsequently reverse over the next 40 trading days. Unregulated shadow-financed margin accounts contributed more to the market crash even though these shadow accounts had higher leverage limits and held a smaller fraction of market assets.