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Research on the Construction and Measurement of Digital Governance Level System of County Rural Areas in China—Empirical Analysis Based on Entropy Weight TOPSIS Model

Author

Listed:
  • Tieli Wang

    (School of Economics Management and Law, University of South China, Hengyang 421001, China)

  • Dingliang Wang

    (School of Economics Management and Law, University of South China, Hengyang 421001, China)

  • Zhiwei Zeng

    (School of Economics Management and Law, University of South China, Hengyang 421001, China)

Abstract

Rural digital governance is an inevitable requirement to improve the efficiency of rural governance, and is also an important means to realize the modernization of rural governance. In the context of the digital rural development strategy, the index measurement system of the rural digital governance level is built around the five key governance areas of “digital economy, digital ecology, digital culture, digital people’s livelihood, and digital government affairs”. The entropy weight TOPSIS model is used to measure and evaluate the level of rural digital governance in 31 provinces in China in 2021. The results show that there is a large gap in the level of digital governance in China’s counties and villages, and the level of each region presents a decreasing spatial distribution from “east-middle-west”. In terms of digital economy, the eastern region has a high score and good development, while the central and western regions have poor development. In terms of digital ecology, only the eastern region is higher than the national average; In terms of digital culture, only the central region is higher than the national average; In terms of digital livelihood and digital government, the central and eastern regions are slightly higher than the national average; The top three provinces in overall scores are Zhejiang, Guangdong, and Jiangsu.

Suggested Citation

  • Tieli Wang & Dingliang Wang & Zhiwei Zeng, 2024. "Research on the Construction and Measurement of Digital Governance Level System of County Rural Areas in China—Empirical Analysis Based on Entropy Weight TOPSIS Model," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4374-:d:1399408
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    References listed on IDEAS

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    1. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    2. Sept, Ariane, 2020. "Thinking Together Digitalization and Social Innovation in Rural Areas: An Exploration of Rural Digitalization Projects in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(2), pages 193-208.
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