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

<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>