This paper estimates the monetary value of cutting PM2.5, a dominant source of air pollution in China. By matching … interviews in China, we are able to estimate the relationship between local concentration of particulate matter and individual …

China and some other Asian countries have experienced skewed sex ratios, triggering intense competition and pressure in … the marriage market. Meanwhile, China has more smokers than any other country, with half of men smoke while few women … market in China - affects their fathers' smoking behavior. We utilize two household longitudinal surveys as well as a random …

. 6,806 participants aged ≥60 years from the China Health and Retirement Longitudinal Study were included. We measured 13 …

satisfaction, hedonic happiness and mental health. We match a nationally representative survey in China with local air quality and … air pollution would be higher if the hidden costs of air pollution on SWB in China are taken into account. …

solid fuel on depressive symptoms using a nationally representative dataset of middle-aged and older population in China …

and the alarming inequality in China have made relative deprivation more and more intense for the Chinese population. This … paper reviews empirical literature on China that attempts to test the relative deprivation hypothesis. We review the origins …

household survey in rural China, this paper provides empirical evidence on the squeeze effect of gift giving. …

China launched a new rural pension scheme (hereafter NRPS) for rural residents in 2009, now covering almost all … unique setting for studying the economics of intergenerational relationships during development, given the rapidity of China …

-contamination. Commercial plasma donation and the resulting HIV/AIDS and hepatitis C epidemics in central China in the 1990s killed more than … its negative health impacts in impoverished rural China using individual fixed effect models. Both the linear regression …

the novel coronavirus 2019 (COVID-19) in China. We implement a machine learning approach to select instrumental variables …