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Analysis on Regional Differences and Spatial Convergence of Digital Village Development Level: Theory and Evidence from China

Author

Listed:
  • Xiaojing Li

    (School of Economics and Management, Yantai University, Yantai 264500, China)

  • Raj Bahadur Singh Chandel

    (College of Economics and Management, Northwest Agriculture and Forestry University, Yangling 712100, China)

  • Xianli Xia

    (College of Economics and Management, Northwest Agriculture and Forestry University, Yangling 712100, China)

Abstract

In the context of the rapid development of the global Internet, evaluating the digital village development level (DVI) in different regions is important for policy formulation and scientific research in the field of rural digital development. Based on the measurement of DVI using panel data of provinces from 2005 to 2018, we also explored the causes of DVI development differences using the Dagum Gini coefficient decomposition and spatial convergence method. The study found that: (1) During the whole sample period, the DVI in China and the four major regions showed a significant upward trend as a whole, with the highest in the eastern region and the lowest in the western region, but the development of DVI among different provinces showed regional non-equilibrium characteristics. (2) DVI has a typical agglomeration effect in the spatial and geographical distribution, and regional differences are the primary source of differences in DVI development in China, but the overall regional differences show a decreasing trend. (3) Except for the northeast region, σ -convergence exists in the other three regions; in addition, all regions have significant conditional β -convergence, but the convergence speed is significantly different. (4) Rural population density, industrial structure, and economic development level significantly affect DVI. Therefore, we suggest strengthening the inter-regional connection and element flow and realizing the improvement of the overall DVI of the region through cooperation and mutual assistance.

Suggested Citation

  • Xiaojing Li & Raj Bahadur Singh Chandel & Xianli Xia, 2022. "Analysis on Regional Differences and Spatial Convergence of Digital Village Development Level: Theory and Evidence from China," Agriculture, MDPI, vol. 12(2), pages 1-20, January.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:2:p:164-:d:732344
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    Citations

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    Cited by:

    1. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    2. Yudi Agusta, 2023. "Managing the Development of a Sustainable Digital Village," Sustainability, MDPI, vol. 15(9), pages 1-30, May.
    3. Guo, Chuanyin & Song, Qiwei & Yu, Ming-Miin & Zhang, Jian, 2024. "A digital economy development index based on an improved hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1146-1157.
    4. Giuseppe Timpanaro, 2023. "Agricultural Food Marketing, Economics and Policies," Agriculture, MDPI, vol. 13(4), pages 1-9, March.
    5. Yitian Ren, 2023. "Rural China Staggering towards the Digital Era: Evolution and Restructuring," Land, MDPI, vol. 12(7), pages 1-25, July.
    6. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    7. Yan Mei & Jingyi Miao & Yuhui Lu, 2022. "Digital Villages Construction Accelerates High-Quality Economic Development in Rural China through Promoting Digital Entrepreneurship," Sustainability, MDPI, vol. 14(21), pages 1-29, October.
    8. Tianyu Li & Shengpeng Wang & Pinyu Chen & Xiaoyi Liu & Xiang Kong, 2023. "Geographical Patterns and Influencing Mechanisms of Digital Rural Development Level at the County Scale in China," Land, MDPI, vol. 12(8), pages 1-23, July.

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