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.
We found that the level of rerouting varied significantly depending on the granularity of the measure used: 16.5% of Vietnamese exports to the US were rerouted at the product level, compared to just 1.7% at the firm level. Trade war tariffs led to increases in rerouting, but estimates were again significantly smaller for more granular measures, underscoring the importance of detailed microdata in formulating trade policy and measuring compliance.
Understanding corporate China and its future dynamics is the key to understanding the Chinese economy and its undergoing transformation. The intellectual framework proposed in this work can be summarized by a simple identity: Growth Rate = Return on Invested Capital (ROIC) X Investment Rate. To successfully achieve China’s economic transition without losing a lot of growth at the same time, China needs to improve ROIC at the aggregate level.
US-China trade tensions have negatively affected consumers as well as many producers in both countries. The tariffs have reduced trade between the US and China, but the bilateral trade deficit remains broadly unchanged. While the impact on global growth is relatively modest at this time, the latest escalation could significantly dent business and financial market sentiment, disrupt global supply chains, and jeopardize the projected recovery in global growth in 2019.