To examine the implicit guarantee provided by Chinese local governments to local government financing vehicles (LGFV), we create a proxy for local governments’ implicit debt ratio and find it correlated with the credit spread of LGFV bonds.
Using data from Renrendai, one of the largest P2P lending platforms in China, we investigate how the amount of punctuation used in loan descriptions influences the funding probability, borrowing rate, and default. The empirical evidence shows that the amount of punctuation is negatively associated with the funding probability and borrowing rate. We propose that the usage of punctuation affects the readability of a loan description and reflects borrowers’ self-control and cognitive ability.
Can intermediate input trade liberalization affect worker health in a developing country like China, and if so, how? Do the impacts differ between skilled and unskilled workers? What are the welfare implications of input tariff reductions once health factors are considered? Professors Haichao Fan of Fudan University, Faqin Lin of China Agricultural University, and Shu Lin of the Chinese University of Hong Kong develop...
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.
The practice of burning agricultural waste is ubiquitous around the world, yet the external human capital costs from those fires have been underexplored. Using data from the National College Entrance Examination (NCEE) and agricultural fires detected by high-resolution satellites in China from 2005 to 2011, this paper investigates the impacts of fires on cognitive performance...