In 2020, local governments in China began issuing digital coupons to stimulate spending in targeted categories such as restaurants and supermarkets. We find that the coupons caused large increases in spending of 3.1–3.3 yuan per yuan spent by the government. The large spending responses do not come from substitution away from non-targeted spending categories or from short-run intertemporal substitution. We conclude that digital coupons are a cost-effective way to provide targeted fiscal stimulus to specific sectors of the economy.
This study examines the effects of a government-led, large-scale, multifaceted poverty-alleviation program on rural income in China. We find that the program has a positive impact on national key poor counties, with a 10.9% increase in rural income. This effect mainly arises via industrial support, agricultural development, and public service improvement. Strategies that are consistent with local comparative advantages and incentivize local officials to reduce poverty yield more significant effects. Household-level analyses suggest that the program changes household income and expenditure, and the effects are particularly substantial for the poorest households. The study provides novel insights and policy implications for China’s recent experience with poverty alleviation.
The article discussess that China's policy reform of integrating counties into larger prefecture-level divisions (che xian she qu) significantly promoted regional economic specialization, reduced interregional market barriers, and played a crucial role in driving economic growth.The article discussess that China's policy reform of integrating counties into larger prefecture-level divisions (che xian she qu) significantly promoted regional economic specialization, reduced interregional market barriers, and played a crucial role in driving economic growth.
We present the first comprehensive evidence of how app usage affects academic performance and early career outcomes. App usage is contagious: a one standard deviation (around 3.5 hours per day) increase in roommates’ app usage raises an individual’s own app usage by 5.8%, with substantial heterogeneity across students. A one standard deviation increase in app usage reduces GPAs by 36.2% of a within-cohort-major standard deviation and lowers wages by 2.3%. The effect of roommates’ app usage is over half the size of an individual’s own usage effect. High-frequency GPS data reveal that high app usage crowds out time in study halls and increases late arrivals at and absences from lectures.
This article discusses how reducing frictions across Chinese provinces could significantly improve aggregate output, lower spatial inequality, and discourage population concentration in large cities.