ArticlePloS one2022
Utility analysis of digital villages to empower balanced urban-rural development based on the three-stage DEA-Malmquist model.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 32 citations in OpenAlex.
- Digital literacy's impact on digital village participation in rural left-behind women through serial mediation of political trust and self-efficacy.Scientific reports · 2025Article
- Article
- Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model.Frontiers in public health · 2024Article
- Strengthening the role of corporate social responsibility in the dimensions of sustainable village economic development.Heliyon · 2023Article
- A study of primary health care service efficiency and its spatial correlation in China.BMC health services research · 2023Article
- Impact of Digital Village Construction on Agricultural Carbon Emissions: Evidence from Mainland China.International journal of environmental research and public health · 2023Article
- How does digital governance affect the level of domestic waste separation for rural residents? Empirical evidence from rural areas in Jiangsu Province, China.Frontiers in public health · 2023Article
- Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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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.
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