Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

The Impact of Digital Economy on the Upgrading of Industrial Structure in Resource-depleted Cities in China—Empirical Analysis Based on Data from 23 Provincial Panels in China

Authors
Ying Li1, *, Xiaopeng Zhang1
1Harbin Institute of Finance Department of Investment Insurance, Harbin, Heilongjiang, China
*Corresponding author. Email: 316275277@qq.com
Corresponding Author
Ying Li
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_8How to use a DOI?
Keywords
resource-depleting cities; industrial structure level; digital economy; gray correlation
Abstract

Limited by its own development law, the development of resource industries and resource-based cities will inevitably go through the process of construction, prosperity, decline, transformation, revitalization or demise. How to carry out economic transformation and find a new way out is a difficult problem facing resource-depleted cities. With the accelerated penetration of digital technology, goods and services into traditional industries, the digital economy has become a new engine driving China's economy to achieve good and rapid growth. In this paper, taking the industrial structure level of resource-declining cities as the research object, the gray correlation degree is used to conduct empirical analysis of the data of 23 provincial panels, digital infrastructure, digital industrialization and industrial digitalization are selected as the core explanatory variables, and the level of economic development, government intervention and foreign trade are introduced as control variables. However, compared with other types of cities, the influence of Internet penetration indicators in this type of city is generally low. According to this conclusion, corresponding countermeasures and suggestions are proposed to improve the process of industrial structure transformation and upgrading of resource-declining cities.

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.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_8How to use a DOI?
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  - Ying Li
AU  - Xiaopeng Zhang
PY  - 2022
DA  - 2022/12/29
TI  - The Impact of Digital Economy on the Upgrading of Industrial Structure in Resource-depleted Cities in China—Empirical Analysis Based on Data from 23 Provincial Panels in China
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 40
EP  - 45
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_8
DO  - 10.2991/978-94-6463-042-8_8
ID  - Li2022
ER  -