中国数据要素发展与乡村振兴的时空关系研究
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1.扬州大学商学院;2.清华大学经济管理学院;3.扬州大学苏中发展研究院

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基金项目:

国家自然科学基金项目(72373129,72103178);江苏省研究生科研与实践创新计划项目(KYCX24_3853)


Study on the spatio-temporal relationship between data elements development and rural revitalization in China
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Affiliation:

1.Business School, Yangzhou University;2.School of Economics and Management, Tsinghua University;3.Research Institute of Central Jiangsu Development, Yangzhou University

Fund Project:

National Natural Science Foundation of China (72373129, 72103178); Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX24_3853)

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    摘要:

    数据要素发展与乡村振兴相互赋能、协调共进,对于加快农业农村现代化具有重要的现实意义。基于数据要素发展与乡村振兴互动耦合机理的分析,本文运用熵权法、PVAR模型、耦合协调度模型以及最优参数地理探测器等方法,对2013—2022年中国30个省(区、市)(不包括港澳台地区和西藏)的数据要素发展水平与乡村振兴水平进行测度,研究二者的互动响应关系和耦合协调性,并分析数据要素发展对乡村振兴空间分异的影响。结果表明:1)数据要素发展与乡村振兴的综合水平均呈现逐年递增的趋势,并且展示出“东部 > 中部 > 西部”的梯度发展规律。2)数据要素发展与乡村振兴之间存在双向因果关系,长期来看,两者表现出显著的正向促进效应。3)数据要素发展与乡村振兴的耦合协调度稳步上升,其空间演变特征为“东部高协调跃升、中西部失调脱离”,三大地带区域间的差异是导致耦合协调空间不平衡的主要因素。4)单一的数据要素发展因子对乡村振兴空间分异的影响力较弱,但与其他因子的交互作用大多表现出强烈的放大叠加效应,尤其是与产业结构合理化的交互作用。研究结果为推进数据要素发展并助力乡村振兴提供了有价值的参考。

    Abstract:

    The mutual empowerment and coordination between data elements development and rural revitalization are of great practical significance for accelerating agricultural and rural modernization. Based on an analysis of the interaction and coupling mechanisms between data elements development and rural revitalization, this paper employs the entropy weight method, panel vector autoregression (PVAR) model, coupling coordination degree model, and the Optimal Parameters-based Geographic Detector (OPGD) model to measure the development levels of these two subsystems. We explore their interactive response relationship and coupling coordination across 30 provinces (Excluding Hong Kong, Macao, Taiwan and Xizang) in China from 2013 to 2022, and analyze the impact of data elements development on the spatial differentiation of rural revitalization. The results show that: 1) the comprehensive levels of data elements development and rural revitalization have been steadily increasing, following a gradient pattern of "East > Central > West". 2) There is a bidirectional causal relationship between data elements development and rural revitalization, with a significant positive effect over the long term. 3) The coupling coordination degree between data elements development and rural revitalization has shown steady improvement, exhibiting spatial evolution characterized by "high coordination leaps in the eastern region and imbalanced separation in the central and western regions." The inter-regional differences among the three zones are the main source of spatial imbalance in the coupling coordination. 4) While a single data element development factor has a weak influence on the spatial differentiation of rural revitalization, its interaction with other factors demonstrates a strong amplifying effect, particularly with the rationalization of industrial structures. These findings offer valuable insights for advancing data elements development and fostering rural revitalization.

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引用本文

孙志贤,田宇,陆一轩,姚冠新,徐静. 中国数据要素发展与乡村振兴的时空关系研究[J]. 农业现代化研究, 2024, 45(6): 952-965
SUN Zhixian, TIAN yu, LU Yixuan, YAO Guanxin, XU Jing. Study on the spatio-temporal relationship between data elements development and rural revitalization in China[J]. Research of Agricultural Modernization, 2024, 45(6): 952-965

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  • 收稿日期:2024-07-10
  • 最后修改日期:2024-09-14
  • 录用日期:2024-09-20
  • 在线发布日期: 2025-01-24
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