Development Measurement of Digital Trade in the Yangtze River Delta Urban Agglomeration of China

Xi Zhao (), Yuyan Hu, Qin Pan, Shuangguo Wang and Jiaxing Zhao
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Xi Zhao: Hefei University, School of Economics and Management
Yuyan Hu: Hefei University, School of Economics and Management
Qin Pan: Hefei University, School of Economics and Management
Shuangguo Wang: East China University of Science and Technology, Business School
Jiaxing Zhao: Nanjing University of Technology, School of Environmental Engineering and Science

A chapter in Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024), 2024, pp 247-255 from Springer

Abstract: Abstract Based on data from 41 prefecture-level cities in the Yangtze River Delta from 2011 to 2021, this paper constructs an evaluation index system and employs the entropy method to measure the development level of digital trade in the Yangtze River Delta urban agglomeration. It finds that, with Shanghai, Jiangsu, and Zhejiang at its core, a highly interconnected digital economic ecosystem has been formed, with enormous potential for the development of digital trade. However, issues such as infrastructure disparities and unbalanced regional development still exist. Based on these findings, the study concludes with recommendations for promoting the development of digital trade in the Yangtze River Delta urban agglomeration, providing policy references for further advancing regional economic development.

Keywords: Yangtze River Delta; Digital Trade; Urban Agglomeration; Entropy Method (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-548-5_27

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DOI: 10.2991/978-94-6463-548-5_27

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