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乡村振兴与新质生产力的耦合协调与时空演化研究——基于2011~2022年省级面板数据

Research on the Coupling Coordination and Spatiotemporal Evolution of Rural Revitalization and New Quality Productivity—Based on Provincial Panel Data from 2011 to 2022
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摘要 本文基于2011~2022年我国30个省级面板数据,构建乡村振兴发展水平和新质生产力水平指标体系。通过耦合协调模型,对二者关系进行测算和分析,并用Dagum基尼系数等方法探讨我国乡村振兴与新质生产力之间的耦合协调与时空演化特征。结果表明:(1) 乡村振兴和新质生产力的耦合协调度在逐渐提高,但全国整体协调水平仍然较低;(2) 二者协同发展水平呈现非均衡状态,地区间发展鸿沟明显,总体差异主要是由地区间差异构成;(3) 二者空间异质性明显,形成“东高西低”的分布格局,两系统间存在空间正相关性,且存在显著的集聚效应;由此提出强化高科技人才引入、优化乡村资源配置、加大政策扶持力度、强化区域差异化创新、跨区域产业协同机制的对策建议。 . This article is based on panel data from 30 provinces in China from 2011 to 2022, and constructs an indicator system for the development level of rural revitalization and the level of new quality productivity. By using a coupling coordination model, the relationship between the two is measured and analyzed, and the coupling coordination and spatiotemporal evolution characteristics between rural revitalization and new quality productivity in China are explored using methods such as Dagum Gini coefficient. The results indicate that: (1) the coupling coordination degree between rural revitalization and new quality productivity is gradually improving, but the overall coordination level nationwide is still relatively low;(2) The level of coordinated development between the two shows an unbalanced state, with significant development gaps between regions, and overall differences mainly composed of regional differences;(3) The spatial heterogeneity between the two systems is obvious, forming a distribution pattern of “high in the east and low in the west”. There is a spatial positive correlation between the two systems, and there is a significant agglomeration effect;Therefore, it is proposed to strengthen the introduction of high-tech talents, optimize the allocation of rural resources, increase policy support, enhance regional differentiated innovation, and establish cross regional industrial synergy mechanisms.
作者 任铭时 张勇
出处 《统计学与应用》 2025年第7期323-333,共11页 Statistical and Application
基金 国家自然科学基金(72061014) 湖南省教育厅重点科研项目(2024A0377)。
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