Evaluating Digital Rural Development from a Resilience Perspective: Evidence from Zhejiang Province

Yongjia Zhao

doi:10.54691/jjd8xg45

Authors

Yongjia Zhao School of Public Administration, Sichuan University, Chengdu 610000, China

DOI:

https://doi.org/10.54691/jjd8xg45

Keywords:

Digital Rural Areas; Resilience Theory; Zhejiang Province.

Abstract

Drawing on resilience theory, this study develops an evaluation framework for assessing the development level of digital rural areas and applies it to 90 counties (districts and county-level cities) in Zhejiang Province. Using statistical data from 2022, the entropy weight method and a comprehensive evaluation approach are employed to measure county-level digital rural resilience. The results reveal significant regional disparities in digital rural resilience across Zhejiang Province. High-resilience areas are primarily concentrated in the economically developed northeastern region, whereas low-resilience areas are mainly located in western and mountainous counties. Based on these findings, this study proposes policy recommendations to enhance county-level digital rural resilience and promote coordinated regional development.

Downloads

Download data is not yet available.

References

[1] Cyberspace Administration of China. (2023). China digital rural development report (2022). https://www.cac.gov.cn/2023-03/01/c_1679309718486615.htm

[2] Zeng, Y. W., Song, Y. X., Lin, X. Z., et al. (2021). Several issues concerning digital rural development in China. Chinese Rural Economy, (4), 21 35.

[3] Shen, F. W., & Ye, W. X. (2021). Digital rural development: A strategic choice for high quality rural revitalization. Journal of Nanjing Agricultural University (Social Sciences Edition), 21(5), 41 53.

[4] Wang, S., Yu, N., & Fu, R. (2021). Digital rural development: Mechanisms, practical challenges and implementation strategies. Reform, (4), 45 59.

[5] Xing, Z. J. (2021). The national logic of digital rural development. Journal of Jishou University (Social Sciences), 42(6), 58 68.

[6] Hu, W. W., & Lu, Y. N. (2023). Formation and operation of the digital rural governance community: Evidence from China's first greenhouse village. Journal of Public Management, 20(1), 133 143.

[7] Costopoulou, C., Ntaliani, M., & Karetsos, S. Studying mobile apps for agriculture.

[8] Ding, B. (2022). Digital governance: A new model of village governance in digital rural areas. Journal of Northwest A&F University (Social Sciences Edition), 22(2), 9 15.

[9] Wang, W. B., & Zhao, L. Z. (2023). Digital rural governance transformation: Structural adjustment, functional enhancement and practical path. E Government, (5), 29 37.

[10] Shen, F. W., & Ye, W. X. (2022). Pathways to digital rural development: An exploration based on smart growth theory. Humanities Magazine, (4), 69 80.

[11] Liu, T. Y., & Tian, B. H. (2022). Practical dilemmas and optimization paths of digital rural development from the perspective of governance modernization. Jianghan Tribune, (3), 116 123.

[12] Feng, C. R., & Xu, H. Y. (2021). Practical dilemmas and breakthrough paths for digital rural development. Journal of Yunnan Normal University (Philosophy and Social Sciences), 53(5), 93 102.

[13] Li, L. L., Zeng, Y. W., & Guo, H. D. (2023). Digital rural development: Underlying logic, practical misunderstandings and optimization paths. Chinese Rural Economy, (1), 77 92.

[14] Zhang, H., & Wang, L. (2023). Measurement and promotion paths of digital rural development in western China. East China Economic Management, 37(11), 70 78.

[15] Shen, J. B., & Wang, Y. K. (2019). Evaluation index system of agricultural informatization in China. Transactions of the Chinese Society of Agricultural Engineering, 35(24), 162 172.

[16] Cui, K., & Feng, X. (2020). Indicator system design for the rural digital economy from the perspective of digital rural development. Research of Agricultural Modernization, 41(6), 899 909.

[17] Zhu, H. G., & Chen, H. (2023). Measurement, spatiotemporal evolution and promotion paths of digital rural development in China. Issues in Agricultural Economy, (3), 21 33.

[18] Xu, J. H., Wang, N. Q., & Guo, F. L. (2023). Construction and empirical analysis of an evaluation index system for digital rural development. Statistics & Decision, 39(2), 73 77.

[19] Liu, Q. (2023). Measurement and spatiotemporal evolution of digital rural development: Evidence from Henan Province. Statistics & Decision, 39(9), 85 90.

[20] Chen, T., & Wang, P. (2020). Information divide and digital rural development. E Government, (12), 2 12.

[21] Chen, L., & Fan, Z. Q. (2022). Influencing factors of digital rural development based on the TOE framework: Evidence from 115 counties in Sichuan Province. Western Economic Management Forum, 33(6), 10 17.

[22] Yang, Y. J., Peng, P., He, S., et al. (2024). Regional characteristics and influencing factors of county level digital rural development in Sichuan Province. Journal of Natural Science of Hunan Normal University.

[23] Liu, C. M., Wang, R., & Shao, M. J. (2024). Spatial pattern and driving factors of county level digital rural development in China. Tropical Geography, 44(1), 79 91.

[24] Heijman, W. J. M., & Hagelaar, J. L. F. (2007). Rural resilience as a new development concept. General Information, 383 396.

[25] Sharifi, A. (2016). A critical review of selected tools for assessing community resilience. Ecological Indicators, 66, 629 647.

[26] Wilson, A. G., Hu, Z., & Rahman, S. (2018). Community resilience in rural China: The case of Hu Village, Sichuan Province. Journal of Rural Studies, 60, 130 140.

[27] Tang, R. W., & Guo, W. J. (2018). Evolutionary resilience of rural revitalization and its internal governance logic. Reform, (8), 64 72.

[28] Lei, X. K., & Wang, J. (2020). Paths and strategies for resilience governance in poor rural areas under rural revitalization. Journal of University of Jinan (Social Sciences), 30(1), 92 99.