Analyze the Impact of Operation Mechanism on the Economic Development of the Development Zone Based on Data Mining Methods
Authors
Shanshan Xu1, *, Xinyue Shu2
1Jiangxi Institute of Economic Development, Jiangxi Normal University, Nanchang, 330022, China
2Department of economics and management, East China Jiaotong University, Nanchang, 330000, China
*Corresponding author.
Email: 1690007957@qq.com
Corresponding Author
Shanshan Xu
Available Online 29 December 2022.
- DOI
- 10.2991/978-94-6463-042-8_194How to use a DOI?
- Keywords
- Development Zone; Management system; involution
- Abstract
By constructing a systematic GMM model, this paper uses data from 212 national economic and technological development zones from 2004 to 2018 to study the impact of the management system on the economic development of the development zone from the perspective of data mining and statistical applications. The research found that the market-oriented management system can promote the economic development of development zones. This finding shows that the market-oriented operation mechanism may be a channel to break the involution of the development zone management system.
- Copyright
- © 2023 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 - Shanshan Xu AU - Xinyue Shu PY - 2022 DA - 2022/12/29 TI - Analyze the Impact of Operation Mechanism on the Economic Development of the Development Zone Based on Data Mining Methods BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 1337 EP - 1341 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_194 DO - 10.2991/978-94-6463-042-8_194 ID - Xu2022 ER -