The Intrinsic Logic and an Empirical Study of the Coupling Between the Digital Economy and Rural Economic Resilience

Ning Li

doi:10.54254/2754-1169/2025.27917

Advances in Economics, Management and Political SciencesOpen access

The Intrinsic Logic and an Empirical Study of the Coupling Between the Digital Economy and Rural Economic Resilience

Research Article

Open Access

The Intrinsic Logic and an Empirical Study of the Coupling Between the Digital Economy and Rural Economic Resilience

Ning Li ^1*

¹ Chongqing Jiaotong University

^*Corresponding author: 1074503930@qq.com

Published on 14 October 2025

AEMPS Vol.227

ISSN (Print): 2754-1177

ISSN (Online): 2754-1169

ISBN (Print): 978-1-80590-309-3

ISBN (Online): 978-1-80590-310-9

Download Cover

Abstract

The coordinated advancement of the digital economy and rural economic resilience is a new dynamic engine for high-quality rural and agricultural development. To quantitatively evaluate the degree of coordinated development between the digital economy and rural economic resilience, this paper selects provincial panel data from 10 Chinese provinces for 2016–2023, and constructs an indicator system for the digital economy that reflects digital infrastructure and industrial digitalization, as well as a chained economic-resilience evaluation system reflecting “resistance–adaptation–transformation.” Indicator weights are determined comprehensively using the entropy-weight method. Based on a coupling-coordination-degree model, a comparative analysis is then conducted on the coupling-coordination types of urban digital economy and ecological resilience across 30 provinces nationwide. The study finds that: in terms of temporal evolution, the coupling-coordination degree of the provinces has grown steadily, although many provinces remain in a state of disequilibrium; overall the development trend is positive. Spatially, the coupling-coordination degree exhibits an “east-high, west-low; south-high, north-low” pattern. By 2023, most regions were in a coordinated state.

Keywords:

digital countryside, digital economy, rural economic resilience, coupling coordination

View PDF

References

[1]. Li, P., He, R., & Liu, C. (2024). The impact mechanism and effects of digital village construction empowering agricultural economic resilience. Statistics and Decision, 40(2), 11–17.

[2]. Phadera, A. G. P. (2019). Do asset transfers build household resilience? Journal of Development Economics, 138, 66–82.

[3]. Li, H., & Lu, Q. (2022). Unconditional cash transfers and household development resilience: Empirical evidence from China’s minimum living allowance policy. Chinese Rural Economy, (10), 20–35.

[4]. Zhao, W., & Xu, X. (2023). The impact effects and mechanism of digital economy on agricultural economic resilience. Journal of South China Agricultural University (Social Science Edition), 22(2), 87–96.

[5]. Wang, W., Yin, X., & Wang, C. (2023). Digital economy promoting Chinese-style agricultural and rural modernization: Measurement, mechanism, and implications. Research of Agricultural Modernization, 44(4), 609–623.

[6]. Qin, Z., Tian, J., & He, Y. (2023). How does the digital economy drive high-quality development of rural industries? An analysis based on the mismatch of labor and capital factors. World Agriculture, (7), 40–51.

[7]. Liu, S., Zheng, X., & Liu, C. (2024). Rural transactions and industrial transformation in the context of digital economy. Chinese Rural Economy, (6), 2–24.

[8]. Su, Y., You, Y., & Wang, Z. (2016). Integration of primary, secondary and tertiary industries in rural areas: Theoretical exploration, current situation analysis, and policy suggestions. China Soft Science, (8), 17–28.

[9]. Peng, H., & Zhang, Z. (2023). Digital economy empowering rural industrial revitalization: Effect testing and mechanism analysis. Rural Finance Research, (5), 44–56.

[10]. Huang, X., & Li, H. (2024). Can digital literacy help rural labor achieve high-quality employment? Scientific Decision Making, (10), 215–234.

[11]. Wen, F. (2023). Agricultural digital transformation: Significance, problems, and implementation paths. Social Sciences in Chinese Higher Education, (3), 111–120, 159–160.

[12]. Wu, Y., & Zhang, Y. (2008). Coupling and coordinated development of China’s regional economic growth and environment. Resources Science, (1), 25–30.

References

[1]. Li, P., He, R., & Liu, C. (2024). The impact mechanism and effects of digital village construction empowering agricultural economic resilience. Statistics and Decision, 40(2), 11–17.

[2]. Phadera, A. G. P. (2019). Do asset transfers build household resilience? Journal of Development Economics, 138, 66–82.

[7]. Liu, S., Zheng, X., & Liu, C. (2024). Rural transactions and industrial transformation in the context of digital economy. Chinese Rural Economy, (6), 2–24.

[9]. Peng, H., & Zhang, Z. (2023). Digital economy empowering rural industrial revitalization: Effect testing and mechanism analysis. Rural Finance Research, (5), 44–56.

[10]. Huang, X., & Li, H. (2024). Can digital literacy help rural labor achieve high-quality employment? Scientific Decision Making, (10), 215–234.

[11]. Wen, F. (2023). Agricultural digital transformation: Significance, problems, and implementation paths. Social Sciences in Chinese Higher Education, (3), 111–120, 159–160.

[12]. Wu, Y., & Zhang, Y. (2008). Coupling and coordinated development of China’s regional economic growth and environment. Resources Science, (1), 25–30.

Cite this article

Li,N. (2025). The Intrinsic Logic and an Empirical Study of the Coupling Between the Digital Economy and Rural Economic Resilience. Advances in Economics, Management and Political Sciences,227,36-41.

Data availability

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

About volume

Volume title: Proceedings of the 9th International Conference on Economic Management and Green Development

ISBN: 978-1-80590-309-3(Print) / 978-1-80590-310-9(Online)

Editor: Florian Marcel Nuţă Nuţă, Xuezheng Qin

Conference website: https://2025.icemgd.org/

Conference date: 20 September 2025

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.227

ISSN: 2754-1169(Print) / 2754-1177(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).