湖北农业科学 ›› 2025, Vol. 64 ›› Issue (5): 231-236.doi: 10.14088/j.cnki.issn0439-8114.2025.05.035

• 经济·管理 • 上一篇    下一篇

山西省数字乡村发展水平测度

赵淑婷, 秦作霞, 胡婕妤   

  1. 山西农业大学农业经济管理学院,山西 晋中 030600
  • 收稿日期:2024-04-30 出版日期:2025-05-25 发布日期:2025-06-11
  • 通讯作者: 秦作霞(1982-),女,山西万荣人,副研究员,硕士,主要从事农业经济管理工作,(电子信箱)qinzuoxia@126.com。
  • 作者简介:赵淑婷(2000-),女,山西襄垣人,在读硕士研究生,研究方向为数字经济,(电子信箱)617572195@qq.com
  • 基金资助:
    山西省科技战略研究专项(202204031401116)

Measurement of the Development Level of Digital Countryside in Shanxi Province

ZHAO Shu-ting, QIN Zuo-xia, HU Jie-yu   

  1. College of Agricultural Economics and Management, Shanxi Agricultural University, Jinzhong 030600, Shanxi, China
  • Received:2024-04-30 Published:2025-05-25 Online:2025-06-11

摘要: 以山西省为研究对象,基于数字乡村内涵与乡村振兴目标,构建涵盖数字化发展环境、乡村网络基础设施、数字化农业生产、数字化乡村治理、数字化经营、数字化信息服务6个维度26项指标的综合评价指标体系,运用熵权法确定指标权重,结合2017—2021年山西省统计年鉴数据及相关实地调研数据,对省内11个地级市的数字乡村发展水平进行测度与综合评价分析。结果表明,山西省数字乡村发展水平呈稳步上升趋势,但区域间发展不均衡特征显著,太原、晋中、运城等城市依托政策支持与区位优势处于领先地位,而吕梁、朔州等地区受限于基础设施薄弱与资源匮乏,发展相对滞后;分维度看,数字化经营与数字化发展环境提升较快,但乡村网络基础设施建设与数字化农业生产方面仍是短板。据此,提出应加强组织领导,完善农村数字基础设施建设、增加资金投入与扶持力度,强化农业科技装备支持、构建人才支撑体系,加强数字乡村发展队伍建设、调动乡村多元主体积极参与,提高乡村治理数字化水平、制定特色优化建设方案,探索乡村特色数字化模式等对策建议,以期为山西省数字乡村高质量发展提供理论依据与实践参考。

关键词: 数字乡村, 熵权法, 发展水平, 山西省

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

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