《Frontiers in Sustainable Development》2026, 6(8)·8月25日 · 周二论文阅读 1

数字乡村发展韧性评估:基于浙江省90个县(市、区)的实证研究

AI 评分
67接近精选线
影响力15
信息增量20
专业深度18
信源权威12
时效性2

基于浙江省90个县市数据的数字乡村韧性评估,方法严谨,结论有区域差异,但时效性较低。

摘要

Frontiers in Sustainable Development 2026年第6卷第8期25日发表论文:基于韧性理论,构建数字乡村发展水平评估框架,应用于浙江省90个县(市、区)。使用2022年统计数据,采用熵权法和综合评价方法测度县级数字乡村韧性。结果显示,浙江省数字乡村韧性存在显著区域差异,高韧性地区主要集中在经济发达的东北部地区,而低韧性地区主要位于西部和山区。基于研究结果,提出增强县级数字乡村韧性和促进区域协调发展的政策建议。

文全文

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.

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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.

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