We document public-sector window dressing behavior in China’s Compulsory Education Promotion Program during the 1990s. Window-dressing behavior has been well-documented in various organizations when an agent faces high-stakes incentives.
To improve capital allocative efficiency, starting in 2010, Chinese regulators switched from using return on equity to economic value added (EVA).
The interplay between trade liberalization and demographic behavior illuminates the challenges of reconciling career and family. This paper examines how gender-specific trade liberalization influences fertility, leveraging a Bartik-style shift-share instrumental variable strategy that incorporates female skill intensity into input tariff exposure. We find that input-trade liberalization significantly reduces fertility, particularly among highly educated women, private sector employees, and first-time mothers—groups experiencing the steepest career-family trade-offs. Mechanism analysis shows that enhanced labor market prospects raise the opportunity cost of childbearing, delaying or reducing family formation. These findings underscore the socioeconomic implications of trade policy for demographic trends.
China’s political leadership recently committed to expanding the proportion of middle-income groups to create a less polarised, and more ‘olive-shaped’, distribution of wealth. This column considers the potential trade-offs between reducing income polarisation and other goals, including poverty reduction.
We examine the impact of China’s Rural E-Commerce Comprehensive Demonstration (RECD) project on the urban-rural income gap. Using county-level data from 2006 to 2022 and a time-varying difference-in-differences design, we find that participation in the RECD project led to a significant reduction in urban-rural income disparity. The effects were especially pronounced in less-developed regions, poverty-designated counties, and areas with weaker digital infrastructure and gains were disproportionately concentrated among rural households. These “biased” digital dividends contrast with market-driven e-commerce development, such as Taobao Villages, which tended to exacerbate inequality.