Using big data of more than 100 million posted jobs from China, we estimate how the COVID-19 pandemic affected local labor demand in China via global supply chains. The data reveal that the number of newly posted jobs was about 31% lower in the first 14 weeks after the Wuhan lockdown than comparable periods in 2018 and 2019. We show that COVID-19 cases abroad and foreign governments’ pandemic-control policies reduced new job creation in China by 11.7%...
Health systems globally face increasing morbidity and mortality from chronic diseases, yet many — especially in low- and middle-income countries — lack strong primary care. Among recent contributions to understanding how economic incentives can be harnessed to address this challenge is a study in which we analyze China’s efforts to promote primary care management for rural residents with chronic disease...
We apply the discontinuity methodology from the accounting literature to a political economy setting of GDP reporting and examine whether Chinese local governments manage regional GDP numbers. We find strong evidence of discontinuities around zero in the distribution of actual minus target GDP growth rates. The frequencies of just meeting or beating GDP growth targets are about five (four) times the frequencies of just missing targets at the prefecture (province) level. The results are stronger for governors with longer tenures and those without political connections to higher-level officials as well as for local governments with more resources under their control.
Industrial policy is often discussed through high-level narratives and flagship initiatives, yet its implementation—particularly at the subnational level—remains opaque. We leverage large language models (LLMs) to systematically analyze over three million government documents from 2000 to 2022, extracting structured policy information to decode China’s industrial policy at various levels of government. Combining these newly constructed granular industrial policy data with micro-level firm data, we document four sets of facts on China’s industrial policies, including the economic and political rationality of the choice of the target sectors, the dynamics of the policy tools, the diffusion and similarity of policies, and the effects on firm entry and productivity.
Widening income inequality in China has prompted President Xi Jinping to shift focus and to emphasize the fostering of balanced, high-quality development. But how exactly did income inequality evolve over China’s growth process and what was its impact on consumption and welfare? Using a long panel of income and consumption data from thousands of rural and urban households, we document that the increasing income inequality in China mainly reflects increasing permanent income risk, against which it became harder and harder to insure consumption, over the period of rapid income growth from 1989 to 2009. In other words, as household income grew, so did income fluctuations. These income fluctuations had an increasingly direct impact on consumption. For rural households, the welfare cost from increasing income risk and increasing exposure of consumption to income risk can almost cancel out the welfare gain from accelerated income growth over those twenty years.