湖北农业科学 ›› 2024, Vol. 63 ›› Issue (6): 241-248.doi: 10.14088/j.cnki.issn0439-8114.2024.06.040

• 乡村振兴 • 上一篇    下一篇

山东省数字乡村发展水平时空演变特征、区域差异与障碍因素研究

刘荣军, 王慧   

  1. 青岛农业大学经济管理学院(合作社学院),山东 青岛 266109
  • 收稿日期:2023-12-11 出版日期:2024-06-25 发布日期:2024-06-26
  • 通讯作者: 王 慧(1980-),女,山西临汾人,副教授,硕士,主要从事农村电子商务方面的研究,(电话)15865559758(电子信箱)spring_wh@126.com。
  • 作者简介:刘荣军(1997-),男,山东曲阜人,在读硕士研究生,研究方向为数字乡村,(电话)17562143487(电子信箱)liurongjunlm@163.com。
  • 基金资助:
    国家社科基金年度一般项目(20BGBGL286)

Research on spatiotemporal evolution characteristics, regional differences and obstacle factors of digital countryside development level in Shandong Province

LIU Rong-jun, WANG Hui   

  1. College of Economics and Management(College of Cooperatives),Qingdao Agricultural University,Qingdao 266109,Shandong, China
  • Received:2023-12-11 Published:2024-06-25 Online:2024-06-26

摘要: 选取山东省五大区域16个地级市作为研究区域,从数字乡村基础设施、数字乡村发展环境、乡村数字化应用和农业数字化生产4个维度构建评价指标体系。运用熵权-TOPSIS法、Kernel密度估计法、Dagum基尼系数和障碍度模型,分别对山东省数字乡村发展水平、时空演变特征、区域差异以及影响因素进行分析。结果表明,2015—2021年山东省数字乡村发展水平呈逐步提升的态势,但鲁东、鲁西南地区出现极化现象。山东省及鲁东、鲁中、鲁西南地区的基尼系数呈上升趋势,总体差距主要源于区域间差异,超变密度贡献率逐渐减少。考察期内,农村电商基地数量、电子商务采购额和销售额、邮电业务总量以及地方财政科技支出成为阻碍山东省数字乡村发展的主要因素。因此,应着力改善区域间发展失衡问题,从优化数字乡村发展环境、推动乡村数字化应用发展以及加强区域间合作等方面促进山东省数字乡村高水平均衡发展。

关键词: 数字乡村, 熵权-TOPSIS法, 时空演变, 区域差异, 障碍度模型, 山东省

Abstract: Sixteen cities in five regions of Shandong Province were selected as research areas, and an evaluation index system from four dimensions of digital rural infrastructure, digital rural development environment, rural digital application and agricultural digital production was constructed. The entropy weight-TOPSIS method, Kernel density estimation method, Dagum Gini coefficient and obstacle model were used to analyze the development level, spatiotemporal evolution characteristics, regional differences and influencing factors of digital countryside in Shandong Province respectively. The results showed that from 2015 to 2021,the development level of digital countryside in Shandong Province showed an increasing trend, but the polarization phenomenon appeared in the east of Shandong and the southwest of Shandong. The Gini coefficient of Shandong Province, eastern Shandong Province, central Shandong Province and southwest Shandong Province was showing an upward trend, and the overall gap was mainly due to regional differences, with the contribution rate of super variable density gradually decreasing. During the inspection period, the number of rural e-commerce bases, e-commerce purchases and sales, post and telecommunications business volume and local financial science and technology expenditures had become the main factors hindering the development of digital countryside in Shandong Province. Therefore, efforts should be made to improve the inter-regional development imbalance, and promote the high-level and balanced development of digital countryside in Shandong Province from the aspects of optimizing the development environment of digital countryside, promoting the development of rural digital application and strengthening inter-regional cooperation.

Key words: digital countryside, entropy weight-TOPSIS method, spatiotemporal evolution, regional differences, obstacle model, Shandong Province

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