The Impact of Digital Economy on New Urbanization in Shanxi Province

Jiaxi Wang

doi:10.54254/2977-5701/1/2023003

Research Article

Open access

Published on 25 October 2023

Download pdf

Wang,J. (2023). The Impact of Digital Economy on New Urbanization in Shanxi Province. Journal of Applied Economics and Policy Studies,1,21-36.

Export citation

The Impact of Digital Economy on New Urbanization in Shanxi Province

Jiaxi Wang *^,1,

¹ Beijing University of Posts and Telecommunications

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-5701/1/2023003

Abstract

In recent years, the digital economy has increasingly become a significant driver of economic growth in China, with its tremendous potential affecting various aspects of the country's economic and social sectors. Shanxi Province is renowned for being a resource-based coal city in China and is currently in a critical period of developing new urbanization. Investigating whether the development of the digital economy in Shanxi Province positively influences new urbanization is of great importance for regional development. This study utilizes panel data from 11 prefecture-level cities in Shanxi Province from 2004 to 2017 and constructs a comprehensive indicator system for new urbanization, including economic urbanization, social urbanization, spatial urbanization, and population urbanization. The study calculates the comprehensive index of new urbanization in Shanxi Province and the level of the digital economy in Shanxi Province using the entropy weight method. Based on these indicators, a fixed-effects panel data regression model is established to quantitatively examine the impact of the digital economy's development level on the construction of new urbanization in Shanxi Province. The study reveals that (1) the regional development level of the digital economy in Shanxi Province has a significant positive promotion effect on new urbanization. (2) Regional government intervention in Shanxi Province plays a strong positive guiding role in the development of new urbanization. (3) The enhancement of the comprehensive economic strength of Shanxi Province significantly affects new urbanization construction, but the effect is not substantial.

Keywords

digital economy, new urbanization

View pdf

References

[1]. Wang, C. (2021). Intrinsic Mechanism and Key Implementation Points of the Integration Development of the Digital Economy and New Urbanization. Journal of Beijing Union University (Humanities and Social Sciences Edition), 19(3), 116-124. DOI: 10.16255/j.cnki.11-5117c.2021.0044.

[2]. Lan, Q., & Chen, C. (2013). Does New Urbanization Promote Industrial Structure Upgrading?—A Spatial Econometric Study Based on Chinese Provincial Panel Data. Finance & Trade Economics, 39(12), 57-71. DOI: 10.16538/j.cnki.jfe.2013.12.001.

[3]. Zhang, Y. (2020). Analysis of the Impact of New Urbanization on Industrial Structure Upgrading. Rural Economy and Science, 31(15), 314-315+338.

[4]. Wang, B., Xie, F., & Huang, X. (2013). Construction of Evaluation Index System for New Urbanization: A Case Study of Jiangxi. Jiangxi Social Science, 33(8), 72-76.

[5]. Zhou, T., Jiang, G., Zhang, R., Zheng, Q., Ma, W., Zhao, Q., & Li, Y. (2018). Addressing the Rural in Situ Urbanization (RISU) in the Beijing–Tianjin–Hebei Region: Spatio-temporal Pattern and Driving Mechanism. Cities, 75.

[6]. Liu, N., Liu, C., Xia, Y., & Da, B. (2018). Examining the Coordination between Urbanization and Eco-environment using Coupling and Spatial Analyses: A Case Study in China. Ecological Indicators, 93(C).

[7]. Qi, J., Zheng, X., & Guo, H. (2018). The Formation of Taobao Villages in China. China Economic Review, 53.

[8]. Chen, X., & Yang, X. (2021). Can the Digital Economy Achieve Optimal Intensity of the Industrial Chain?—Based on Panel Data of China's Input-Output Table from 1987 to 2017. Nanjing Social Science, 2021(02), 17-26. DOI: 10.15937/j.cnki.issn1001-8263.2021.02.002.

[9]. Wen, T., & Chen, Y. (2020). Convergent Development of the Digital Economy and Agriculture Rural Economy: Practice Mode, Real Obstacles, and Breakthrough Paths. Agricultural Economics Problems, 2020(07), 118-129. DOI: 10.13246/j.cnki.iae.2020.07.011.

[10]. Huang, T., & Luo, Y. (2015). Innovation Connotation and Model Construction of Internet Service Industry Platform. Research on Financial and Economic Issues, 2015(03), 24-32.

[11]. Wen, T., Zhang, F., & Zhang, X. (2021). Impact of Logistics Industry Agglomeration in the Yangtze Economic Belt on New Urbanization. Statistics and Decision, 37(20), 62-66. DOI: 10.13546/j.cnki.tjyjc.2021.20.013.

[12]. Lin, Y. (2019). E-urbanism: E-commerce, Migration, and the Transformation of Taobao Villages in Urban China. Cities, 91.

[13]. Bibri, S. E., & Krogstie, J. (2017). ICT of the New Wave of Computing for Sustainable Urban Forms: Their Big Data and Context-Aware Augmented Typologies and Design Concepts. Sustainable Cities and Society, 32.

[14]. Bhandari, A. (2019). Gender Inequality in Mobile Technology Access: The Role of Economic and Social Development. Information, Communication & Society, 22(5).

[15]. Ma, G., & Wang, Y. (2021). Research on Factors Affecting the Quality of New Urbanization: A Comparison of Eastern and Western Regions. Forecasting, 40(06), 61-67.

[16]. Wang, Y., Jiang, C., & Jiang, C. (2021). Can New Urbanization and Low-Carbon Development Coordinate?—An Empirical Study Based on 284 Large and Medium-Sized Cities. Finance & Trade Research, 32(09), 32-46. DOI: 10.19337/j.cnki.34-1093/f.2021.09.003.

[17]. Wang, Y., & Xu, X. (2021). A Dynamic Relationship Study of China's New Urbanization, Rural Revitalization, and Economic Growth. Journal of Harbin University of Commerce (Social Science Edition), 2021(04), 63-73+87.

[18]. Huang, D., & Chen, J. (2021). Comprehensive Evaluation of the Quality of China's New Urbanization. Statistics and Decision, 37(12), 170-173. DOI: 10.13546/j.cnki.tjyjc.2021.12.038.

Cite this article

Wang,J. (2023). The Impact of Digital Economy on New Urbanization in Shanxi Province. Journal of Applied Economics and Policy Studies,1,21-36.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Journal：Journal of Applied Economics and Policy Studies

Volume number: Vol.1

ISSN：2977-5701(Print) / 2977-571X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).