湖北农业科学 ›› 2023, Vol. 62 ›› Issue (2): 103-110.doi: 10.14088/j.cnki.issn0439-8114.2023.02.020

• 数字乡村 • 上一篇    下一篇

山东省农户数字资本测度与空间分布

黄飞飞, 许秀梅   

  1. 青岛农业大学管理学院,山东 青岛 266109
  • 收稿日期:2021-09-03 出版日期:2023-02-25 发布日期:2023-03-17
  • 通讯作者: 许秀梅(1978-),女,江苏徐州人,教授,博士,主要从事农林经济管理研究,(电话)18724764899(电子信箱)1466087435@qq.com。
  • 作者简介:黄飞飞(1996-),女,山东潍坊人,在读硕士研究生,研究方向为农业管理,(电话)13280842912(电子信箱)huangfeifei96@163.com。
  • 基金资助:
    山东省社会科学规划基金资助项目(19CQXJ39); 青岛农业大学校级创新基金资助项目(QNYCX21011; QNYCX21014); 青岛市双百调研工程基金资助项目(2021-B-15)

Measurement and spatial distribution of rural households’ digital capital in Shandong Province

HUANG Fei-fei, XU Xiu-mei   

  1. College of Management, Qingdao Agricultural University, Qingdao 266109,Shandong, China
  • Received:2021-09-03 Online:2023-02-25 Published:2023-03-17

摘要: 通过借鉴Ragnedda创建的数字资本框架,构建山东省农户数字资本指标体系,运用熵值法和K-均值聚类算法测度农户数字资本水平;借助ArcGIS、GeoDa软件,采用空间相关性分析法,探索农户数字资本的空间分布特征。研究表明,三大经济圈对山东省整体农户数字资本的贡献程度存在差异;农户数字接触水平高于数字应用能力;农户数字资本表现出较强的空间正相关性,存在高-高集聚型和低-低集聚型,最后提出了相应的政策建议。

关键词: 数字资本, 数字接触, 数字能力, 空间分布, 山东省

Abstract: Based on the digital capital framework created by Ragneda for reference, the indicator system of rural households’ digital capital in Shandong Province was constructed, and the level of rural households’ digital capital was measured using the entropy method and K-means clustering algorithm. With the help of ArcGIS and GeoDa software, the spatial correlation analysis method was used to explore the spatial distribution characteristics of rural households’ digital capital. The research showed that there were differences in the contribution of the three economic circles to the overall digital capital of rural households in Shandong Province; rural households’ digital contact level was higher than their digital application ability. The digital capital of rural households showed a strong spatial positive correlation, and there were high-high clustering and low-low clustering. Finally, the corresponding policy recommendations were put forward.

Key words: digital capital, digital access, digital capacity, spatial distribution, Shandong Province

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