HUBEI AGRICULTURAL SCIENCES ›› 2025, Vol. 64 ›› Issue (5): 231-236.doi: 10.14088/j.cnki.issn0439-8114.2025.05.035
• Economy & Management • Previous Articles Next Articles
ZHAO Shu-ting, QIN Zuo-xia, HU Jie-yu
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Abstract: Taking Shanxi Province as the research object, based on the connotation of digital villages and the goals of rural revitalization, a comprehensive evaluation index system was constructed, covering six dimensions and 26 indicators, including digital development environment, rural network infrastructure, digital agricultural production, digital village governance, digital operation, and digital information services. The entropy weight method was used to determine the index weights. Combining data from the Shanxi Statistical Yearbook from 2017 to 2021 and relevant field research data, the development level of digital villages in the 11 prefecture-level cities within the province was measured and comprehensively evaluated. The research showed that the development level of digital villages in Shanxi Province had been steadily rising, but the development was significantly unbalanced among regions. Cities like Taiyuan, Jinzhong and Yuncheng were placed in the leading position by relying on policy support and geographical advantages. Meanwhile, regions like Lvliang and Shuozhou lagged behind in development due to being constrained by weak infrastructure and resource scarcity. From a dimensional perspective, digital operation and digital development environment were rapidly improved, but rural network infrastructure construction and digital agricultural production still remained as weak links. Based on this, countermeasures and suggestions were proposed in the paper, such as strengthening organizational leadership, improving rural digital infrastructure construction, increasing financial investment and support, strengthening agricultural science and technology equipment support, building a talent support system, strengthening the construction of digital village development teams, mobilizing the active participation of multiple rural subjects, improving the digital level of rural governance, formulating characteristic optimization construction plans, and exploring characteristic digital models of rural areas, so as to provide a theoretical basis and practical reference for the high-quality development of digital villages in Shanxi Province.
Key words: digital countryside, entropy weight method, development level, Shanxi Province
CLC Number:
F323.3
F327.25
ZHAO Shu-ting, QIN Zuo-xia, HU Jie-yu. Measurement of the Development Level of Digital Countryside in Shanxi Province[J]. HUBEI AGRICULTURAL SCIENCES, 2025, 64(5): 231-236.
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