We predict and analyze provincial-level healthy life expectancy for 31 provinces of China in 2015. Using data from a wide range of countries, we construct a predictive regression model based on socioeconomic variables such as GDP per capita, health and education expenditures, and the number of hospital beds. We find substantial regional health disparities, with healthy life expectancy varying by up to 10 years between different provinces for both men and women.
Since 2010–2011, China’s economy has slowed considerably, raising concerns that the country could fall into the so-called “middle-income trap” (MIT). Obviously, an MIT in China would have serious negative consequences not only for the Chinese population but also for the world economy as a whole. We examine whether China is or will be in an MIT by focusing on the empirical MIT definitions and the MIT triggering factors identified in the literature. We show that dependent on the choice of MIT definition, different MIT statements can be derived. Our triggering factor analysis reveals that while China performs quite well regarding its export structure, it must improve human capital accumulation and total factor productivity to avoid falling into an MIT.
In our recent work (Chen and Fang, 2018), we evaluate the long-term consequences of China’s family planning policies on the quality of life of the Chinese elderly. We identify the causal impact by exploiting the provincial heterogeneity in implementing the “Later, Longer, Fewer” policies in the early 1970s. We estimate the causal effect on a set of outcomes, including support from children, consumption, and physical and mental health. We find that family planning has either no effect or a slightly positive effect on elderly parents’ physical health status; however, parents who are more exposed to family planning policies report significantly worse mental health.
We study the impact of recent tariffs on US prices at the border and at the store. Our results imply that, so far, the tariffs’ incidence has fallen in large part on US firms.