China implemented a pioneering policy in 2011, the Ecological Compensation Initiative (ECI), which establishes side payments between upstream and downstream provinces in the Xin’an River Basin.
In China, migrant children are at a disadvantaged and sometimes cannot enroll in public schools in migration destinations due to policy restrictions. Some migrant workers then have to leave their children behind in their hometowns, which causes the left-behind children problem. This study finds that if the enrollment restriction on migrant children is relaxed, migration of parents and children will increase, and the average human capital in the society will also increase. Low-skill families from small cities benefit most.
This paper examines an important industrial policy in China in the 2000s that aims to propel the country's shipbuilding industry to the largest globally. Using comprehensive data on shipyards worldwide and a dynamic model of firm entry, exit, investment, and production, we find that the scale of the policy was massive and boosted China's domestic investment, entry, and world market share dramatically. On the other hand, it created sizable distortions and led to increased industry fragmentation and idleness.
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.
We evaluate the performance of Chinese fintech and bank credit providers during COVID-19. Comparing samples of fintech and bank loan records across the pandemic outbreak, we find that fintech companies are more likely to expand credit access to new and financially constrained borrowers after the start of the pandemic. However, the delinquency rate of fintech loans triples after the outbreak, but there is no significant...