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Utility analysis of digital villages to empower balanced urban-rural development based on the three-stage DEA-Malmquist model

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  • Lingling Cao
  • Huawei Niu
  • YiFeng Wang

Abstract

Rural subjects, the agricultural industrial structure, public services and rural governance are fully empowered by digital villages. This empowerment effectively compensates for the urban-rural digital divide and promotes the equalization of urban-rural income, consumption, education, medical care, and governance. Based on the three-stage data envelopment analysis (DEA) model and Malmquist index, this article conducts an in-depth study of the static and dynamic efficiency trends of digital villages that empower urban-rural balanced development in 31 provinces in China from 2015 to 2020. The results show that comprehensive technical efficiency of 31 provinces is weak DEA effective, and that the scale efficiency is the main factor affecting comprehensive technical efficiency. The educational level, local finance and industrial structure optimization have a significant positive impact on efficiency evaluation, but technological innovation and the urbanization level have a significant negative impact. Total factor productivity shows diminishing marginal utility based on the Malmquist index and its decomposition change. Restricted by the change in technological progress, the efficiency of digital villages in China in enabling urban-rural equilibrium needs to be further improved.

Suggested Citation

  • Lingling Cao & Huawei Niu & YiFeng Wang, 2022. "Utility analysis of digital villages to empower balanced urban-rural development based on the three-stage DEA-Malmquist model," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-19, August.
    • Handle: RePEc:plo:pone00:0270952
    DOI: 10.1371/journal.pone.0270952
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    2. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    3. Bruno Basso & John Antle, 2020. "Digital agriculture to design sustainable agricultural systems," Nature Sustainability, Nature, vol. 3(4), pages 254-256, April.
    4. Qi, Jiaqi & Zheng, Xiaoyong & Guo, Hongdong, 2019. "The formation of Taobao villages in China," China Economic Review, Elsevier, vol. 53(C), pages 106-127.
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    Cited by:

    1. Bai, Changyi & Guan, Wen & Wang, Dawei & Chen, Xiyi, 2024. "Digital village construction and the quality of life of rural residents," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    2. Yanling Li & Xin Wen, 2023. "Regional unevenness in the construction of digital villages: A case study of China," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-25, July.

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