Abstract: Quantitative evaluation of  the impact effect and mechanism of science and technology innovation on rural revitalization can provide theoretical references and empirical evidence for comprehensively promoting rural revitalization and accelerating regional coordinated development. The article constructs the evaluation index system of science and technology innovation and rural revitalization, combines the entropy weight method to measure the development level of both in 30 Chinese provinces from 2010 to 2020, and uses the fixed‑effects model and spatial Durbin model to empirically test the promotion effect and spatial spillover effect of science and technology innovation on rural revitalization, as well as the existence of the role mechanism of knowledge innovation, technological innovation and product innovation. Some key results show that the national average level of science and technology innovation and rural revitalization has steadily improved, and there are significant disparities in the level of science and technology innovation and rural revitalization between regions, as well as between provinces. The level of science and technology innovation increases by 1 unit on average to promote the level of rural revitalization by 0.372. The coefficients of science and technology innovation level are 0.157, 0.233 and 0.189 at 5% level significant under the adjacency, geographical distance and nested weight matrix, respectively. Meanwhile, under the four spatial weight matrices, the coefficients of the spatial lag term of science and technology innovation level are 0.142, 0.901, 0.925 and 1.510 respectively, and all of them pass the significance level test. Science and technology innovation contributes to the development of rural revitalization in the province and has a positive spatial spillover effect on the improvement of the level of rural revitalization in neighboring provinces. Science and technology innovation can act on rural revitalization development in the form of knowledge, technology and product innovation. The spatial spillover effects of technological innovation and product innovation are significant under geographical distance, economic distance and nested weight matrix. Product innovation shows significant spatial spillover effects only under the economic distance and nested weight matrix.

Key words: science and technology innovation, rural revitalization, spatial spillover effects, spatial Durbin model

摘要： 定量评估科技创新对乡村振兴的影响效应及作用机制，为全面推进乡村振兴、加快区域协调发展提供理论借鉴和经验证据。通过构建科技创新与乡村振兴评价指标体系，结合熵权法测算中国30个省份两者的发展水平，并运用固定效应模型和空间杜宾模型实证检验科技创新对乡村振兴的促进作用与空间溢出效应以及知识创新、技术创新、产品创新作用机制的存在。结果表明：全国科技创新与乡村振兴平均水平稳步提升，区域之间各水平差距明显，省份之间亦有差距；科技创新水平增加1个单位，促进乡村振兴水平提升0.372，在邻接、地理距离和嵌套权重矩阵下，科技创新水平系数分别为0.157、0.233和0.189，5%水平上显著，同时，在四种空间权重矩阵下，科技创新水平空间滞后项系数分别为0.142、0.901、0.925和1.510，且均通过显著性水平检验，科技创新有助于本省乡村振兴发展，且对相邻省份乡村振兴水平提升产生正向空间溢出效应；科技创新能够通过知识、技术和产品创新形式作用于乡村振兴发展，其中，在地理距离、经济距离和嵌套权重矩阵下，技术创新与产品创新的空间溢出效应显著，知识创新仅在经济距离和嵌套权重矩阵下呈现出明显的空间溢出效应。

关键词: 科技创新, 乡村振兴, 空间溢出效应, 空间杜宾模型