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Analysis of Spatial Differentiation and Influencing Factors of Rural Industrial Integration Efficiency in China

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DataCite Commons2025-01-25 更新2025-05-07 收录
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https://figshare.com/articles/dataset/Analysis_of_Spatial_Differentiation_and_Influencing_Factors_of_Rural_Industrial_Integration_Efficiency_in_China/28279241/1
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<b>A</b><b>bstract</b>In order to improve the efficiency of China's rural industrial integration and achieve the purpose of industrial revitalization and farmers' income increase. Based on the super-efficiency EBM model, rural industrial integration efficiency in the east, central and west regions of 31 provinces (municipalities and autonomous regions) in China from 2012 to 2022 was measured, and the spatial differentiation, dynamic distribution and influencing factors of rural industrial integration efficiency were analyzed by using Dagum Gini coefficient, Kernel density estimation and Tobit model, respectively. The study shows that the core driving forces of rural industrial integration efficiency in the east, central and west regions are pure technical, comprehensive and pure technical efficiency, respectively; hyper-variabledensity is the main source of spatial differentiation; serious divergence in rural industrial integration efficiency in the east; there is regional heterogeneity in the impact of different factors on the efficiency of rural industrial integration. It is necessary to strengthen thestructure of financial inputs, establish an efficiency assessment system, and enhance the infrastructure and public services.<b>Financial Disclosure Statement</b><b>Funding</b>国家社科基金面上项目,题为“新丝绸之路经济带物流节点网络布局研究”( 17BJY144 )。.<br><b>利益争夺</b>作者声明没有利益冲突。<b>作者贡献声明</b>所有作者都为研究构思和设计做出了贡献。写作-原稿:袁芳;写作-审阅和编辑,资金获取:Ying Yang。所有作者均已阅读并同意手稿的已发表版本。<br><b>数据可用性</b>当前研究期间使用的数据集可应合理要求从通讯作者处获得。<br>

摘要:为提升中国农村产业融合效率,达成产业振兴与农民增收的目标,本研究基于超效率EBM模型(super-efficiency EBM model),对2012-2022年中国31个省(自治区、直辖市)东、中、西部地区的农村产业融合效率进行测算,并分别采用Dagum基尼系数(Dagum Gini coefficient)、核密度估计(Kernel density estimation)与Tobit模型(Tobit model),分析农村产业融合效率的空间分异特征、动态分布规律及影响因素。研究结果表明:东、中、西部地区农村产业融合效率的核心驱动因素依次为纯技术效率、综合技术效率与纯技术效率;超变密度是空间分异的主要来源;东部地区农村产业融合效率存在严重分化;不同因素对农村产业融合效率的影响存在区域异质性。后续应优化财政投入结构,建立效率评估体系,完善基础设施与公共服务。 财务披露声明 资助信息:本研究受国家社科基金面上项目"新丝绸之路经济带物流节点网络布局研究"(编号17BJY144)资助。 利益冲突声明:作者声明不存在利益冲突。 作者贡献声明:所有作者均为研究构思与设计作出贡献。初稿撰写:袁芳;稿件审阅与编辑、经费获取:杨颖(Ying Yang)。全体作者均已阅读并同意已发表的手稿版本。 数据可用性:本研究期间使用的数据集可通过合理申请向通讯作者获取。
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figshare
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2025-01-25
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