Development Measurement of Digital Trade in the Yangtze River Delta Urban Agglomeration of China
- DOI
- 10.2991/978-94-6463-548-5_27How to use a DOI?
- Keywords
- Yangtze River Delta; Digital Trade; Urban Agglomeration; Entropy Method
- 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.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xi Zhao AU - Yuyan Hu AU - Qin Pan AU - Shuangguo Wang AU - Jiaxing Zhao PY - 2024 DA - 2024/10/21 TI - Development Measurement of Digital Trade in the Yangtze River Delta Urban Agglomeration of China BT - Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024) PB - Atlantis Press SP - 247 EP - 255 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-548-5_27 DO - 10.2991/978-94-6463-548-5_27 ID - Zhao2024 ER -