Dr. Fang Da received his PhD in Economics from Peking University and joined the School of Humanities and Social Sciences, The Chinese University of Hong Kong, Shenzhen in 2023. Dr. Fang's major research areas are political economy and economic geography. 

Up to now, Dr. Fang has published more than ten articles in SCI/SSCI/CSSCI journals and serves as an anonymous reviewer for SSCI such as Asia Pacific Journal of Marketing and LogisticsJournal of Agrarian Change. His research interests mainly include:

  • · Regional economic resilience
  • · Rural land system in China
  • · New Political Economy 
  • · Non-mainstream economics and Marxist Political Economy

Currently, Dr. Fang focus on the study on truck flow big data and regional economic development in China.


Currently, Dr. Fang focus on the study on truck flow big data and regional economic development in China. A summary of his latest academic work is as following:

  How can industrial diversification and vertical integration shape regional economic resilience? This paper answers this question by combining high-frequency real GPS information of over 1.8 million trucks and the unexpected lockdown policy shock during COVID-19 in China. We discover that the truck flows in regions with higher levels of diversification and vertical integration would see a smaller decrease in response to the COVID-19 shock. Dynamically, such moderating effects of diversification and vertical integration get smaller with the recovery of interregional economic linkages. Diversification and vertical integration also mitigate the negative impact from nonlocal infection cases aggregated by the intercity trade network. The association between the two industrial structure attributes and economic resilience to COVID-19 is more prominent in regions with lower centrality in the nationwide intercity truck flow network. 

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