To improve capital allocative efficiency, starting in 2010, Chinese regulators switched from using return on equity to economic value added (EVA).
“Microgiving,” a new model of fundraising made possible by digital technologies, is premised on the notion that charities can raise substantial funds by soliciting minuscule donations from many individuals.
This article discusses the diversity and preference variations in the demand for retirement insurance among urban residents in China, particularly the high demand for health-related insurance such as critical illness (CI) and long-term care (LTC) insurance, and how individual financial circumstances, risk appetites, and bequest motives significantly influence their choice of retirement insurance products.
Our study also contributes to the broader discourse on industrial policy (see Juhász, Lane, and Rodrik 2023 for a recent review of related academic literature). As debates about green industrial policy gains traction in the U.S., Europe, and beyond, there is revived interest in developing a better understanding of how it might impact economic activity. Although economic growth and environmental regulation are often pitted against each other, our findings suggest that this need not be the case.
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.