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Biography

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 Journal of Transport Geography, Asia Pacific Journal of Marketing and Logistics, Journal of Agrarian Change. Dr.Fang is chairing the National Natural Science Foundation of China's youth project ‘Research on the Mechanism of Regional Economic Resilience under the Perspective of Inter-city Linkage’ (Project No. 42401191). 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.

Research

Dr. Fang currently focuses on studying regional economics and political economic geography in China. Here are some working papers in progress:

  •  "The Hidden Worry of City Inclusive Policies: Evidence from China's Migrant Worker Inclusive Policies Impede ESG Performance", Under review.
  •  "Interregional assistance policy, trade linkage and economic resilience: Evidence from counterpart cooperation project between Eastern and Northeastern China", Going on.
  •   "The "Two Types of Production" in the Digital Era and the Process of Generating New Qualitative Productivity: A Mathematical Model Construction and Empirical Study Based on Marxist Theory"(In Chinese), Under review.
  •   "Technology measurement and modernization of China's industrial structure under the global production system: an empirical study based on an improved Fredholm-Venkatachalam-Zambelli algorithm"(In Chinese), Manuscript completed.



More ++
Publications

 

2023

Fang Da; Guo Yan; Zhang Haochen. "Diversification, Vertical Integration and Economic Resilience: Evidence from Intercity Truck Flows during COVID-19 in China" Journal of Economic Geography (SSCI, Top journal in the field of economic geography, ABS 4-star journal), 2023,23(6):1345-1370.
2022

Fang Da; Guo Yan. “Flow of goods to the shock of Covid-19 and free highway policy: Evidence from logistics data in China”, Research in Transportation Economics (SSCI, JCR: Q1, IF: 3.8), 2022, 93, 101185.
2021

Guo Yan; Zhang Xinyue; Fang Da. “The impact of the free highway policy on the resumption of work and production under Covid-19: based on big data of logistics” Economics Science (CSSCI), 2021(5):114-129. (In Chinese)
2021

Fang Da; Guo Yan. “Induced agricultural production organizations under the transition of rural land market: Evidence from China”, Agriculture (SCI, JCR:Q1, IF:3.408), 2021,11(9), 881.
2021

Fang Da; Zhang Xiaoke. “The protective effect of digital finance inclusion on rural e-commerce: Evidence from agricultural products logistics data in China”，Journal of Theoretical and Applied Electronic Commerce Research (SSCI, JCR:Q2, IF: 5.318),2021,16(11), 3202-3217. 
2020

Fang Da; Guo Yan. “Political Economic Analysis of China’s Mortgage of Farmland Management Right: A model of capital transfer between financial and agricultural sectors” Finance and Economics Science (CSSCI), 2020(2): 52-65. (In Chinese)
2020

Fang Da; Guo Yan. “Rural Land Transfer, Capital Components and Income Gap between Urban and Rural Areas：Experience and empirical evidence in China” Economist (CSSCI), 2020(11): 107-115. (In Chinese）
2019

Fang Da. “Political and Economic Reflections on Mortgage of Rural Land Management Right: Based on the Perspective of Capital, Credit and Income” Economist (CSSCI), 2019(2): 74-81 . (In Chinese)
2018

Zhang Guanghui; Fang Da. “Separation of ‘Rural land three rights and new type agriculture manage main body development” Economist (CSSCI), 2018(2): 80-87. (In Chinese)
2017

Fang Da; Zhang Guanghui. “Function of PPP Mode in Urbanization: From the Perspectives of Land, Industry and Population” Finance and Economics Science (CSSCI), 2017(2): 64-74. (In Chinese)
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