We analyze the effects of exposure to industrial robots on labor markets and household behaviors, exploring longitudinal household data from the China Family Panel Studies.
The children of cadres have a higher likelihood of owning business in China, and this relationship varies greatly with government intervention in the economy. Connections with government are likely to be the explanation behind this pattern.
We find that capital import has a substantially larger productivity effect than intermediates import, by generating significant long-term productivity gains through R&D-capital synergy, R&D-inducing, and direct dynamic productivity effects. Our findings highlight the importance of tariff structure in tariff liberalization: the change in tariff structure explains 18% of the productivity gains following China’s WTO accession.
Based on daily transaction data in 214 cities and the difference-in-differences method, we document that daily offline consumption fell by 32%, or 18.57 million RMB per city, during the twelve-week period after China’s COVID-19 outbreak in late January 2020. This implies that China’s offline consumption decreased by over 1.22 trillion RMB in the three-month post-outbreak period, or 1.2% of China’s 2019 GDP. Our estimates suggest a significant economic benefit...
We infer the impact of the US-China tariff war on China’s economy, using high-frequency satellite data on nighttime luminosity. Through a grid-level panel analysis, we find evidence that the US tariffs levied between 2018–2019 on China’s exports had a negative impact on income per capita and manufacturing employment that was very skewed across locations within China. By contrast, China’s retaliatory tariffs on imports from the United States did not have a discernible impact on economic outcomes at the local level.