A Bridge on Economic Issues between China and the World
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Financial Spillovers of Foreign Direct Investment: Evidence from China
Haoyuan Ding, Shu Lin, Shujie Wu, Haichun Ye, May 08, 2024Foreign Direct Investment (FDI) has enhanced the financial conditions of Chinese enterprises, particularly through the financial spillover effects generated by supply chain connections, which have helped to reduce the burden of trade credit and increase opportunities for bank financing.
Cash in the Darkness
Haohan Ren, Kemin Wang, Bohui Zhang, Fan Zhang, Jan 12, 2024Relying on a large dataset on cash withdrawals of over 165 million bank cards from China, we find a higher ratio of cash withdrawals late at night is associated with criminal activity.
Has COVID-19 permanently changed the nature of economic shocks on the Chinese economy?
Kaiji Chen, Patrick Higgins, Tao Zha, Apr 10, 2024In latest study, Kaiji Chen and his colleagues at Emory University investigated the impact of COVID-19 on the Chinese economy. Through the construction of a GDP expenditure dataset and the application of SVAR modeling, they found that the constrained consumption shock during the pandemic significantly affected China's economy and may potentially alter its economic shock nature permanently.
Environmentally Inclined Politicians and Local Environmental Performance:Evidence from Publicly Listed Firms in China
Hanming Fang, Honglin Ren, Danwen Song, Nianhang Xu, May 31, 2023We investigate whether and how environmentally inclined politicians (EIPs), i.e., politicians with prior environment-related work experience, affect local environmental performance in China.
Digital Distractions with Peer Influence: The Impact of Mobile App Usage on Academic and Labor Market Outcomes
Panle Jia Barwick, Siyu Chen, Chao Fu, Teng Li, Jan 08, 2025We present the first comprehensive evidence of how app usage affects academic performance and early career outcomes. App usage is contagious: a one standard deviation (around 3.5 hours per day) increase in roommates’ app usage raises an individual’s own app usage by 5.8%, with substantial heterogeneity across students. A one standard deviation increase in app usage reduces GPAs by 36.2% of a within-cohort-major standard deviation and lowers wages by 2.3%. The effect of roommates’ app usage is over half the size of an individual’s own usage effect. High-frequency GPS data reveal that high app usage crowds out time in study halls and increases late arrivals at and absences from lectures.
