A Bridge on Economic Issues between China and the World
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Are the Most Aggressive Investors in China Actually Informed?
Christian T. Lundblad, Zhishu Yang, Qi Zhang, Aug 30, 2017Using a unique Chinese data set capturing the trading behavior of particularly aggressive investors, we provide new evidence that is consistent with the presence of informational advantages. Critically, an advantage of our data is that we can also directly identify several plausible channels through which such an informational advantage could arise. Specifically, return predictability around key value-relevant events is most pronounced in the presence of aggressive traders who share the same geographic location as the firms in which they trade.
Market Expanding or Market Stealing? Competition with Network Effects in Bike-Sharing
Guangyu Cao, Ginger Zhe Jin, Xi Weng, Li-An Zhou, Jan 16, 2019Positive network effects may lead to winner-takes-all in some markets. The column analyses dockless bike-sharing in China to show instead how an incumbent can benefit from positive spillovers from a competitor’s entry. In the case of bike-sharing, consumers multi-home, the market exhibits positive network effects, and investment by two firms is more cost-efficient than investment by one.
In Rural China, Gift-Giving Is an Increasingly Costly Competition
Erwin Bulte, Ruixin Wang, Xiaobo Zhang, May 01, 2019Gift expenditures grow swiftly in rural China and may adversely affect people's welfare. While gift-giving helps to maintain social status and connections, gift competition may create a predicament: people must spend more and more to "keep up with the Joneses." As a result, the escalating gift expenses crowd out spending on other important consumption and become increasingly burdensome to people in rural areas, particularly to the poor.
How Do Workers and Households Adjust to Robots?
Osea Giuntella, Yi Lu, Tianyi Wang, Apr 26, 2023We analyze the effects of exposure to industrial robots on labor markets and household behaviors, exploring longitudinal household data from the China Family Panel Studies.
Decoding China’s Industrial Policies
Hanming Fang, Ming Li, Guangli Lu, Jul 02, 2025Industrial policy is often discussed through high-level narratives and flagship initiatives, yet its implementation—particularly at the subnational level—remains opaque. We leverage large language models (LLMs) to systematically analyze over three million government documents from 2000 to 2022, extracting structured policy information to decode China’s industrial policy at various levels of government. Combining these newly constructed granular industrial policy data with micro-level firm data, we document four sets of facts on China’s industrial policies, including the economic and political rationality of the choice of the target sectors, the dynamics of the policy tools, the diffusion and similarity of policies, and the effects on firm entry and productivity.
