基于2009-2018年中国30个省（市、自治区）的面板数据，采用熵值法、耦合模型和静态面板模型，测算科技金融与产业结构升级的耦合度并对其影响因素分析。研究表明：（1）科技金融与产业结构升级的耦合度整体上呈上升趋势，但区域间差别明显，耦合度均值由东到西逐渐递减；（2）政府投入力度、金融机构贷款力度、技术创新能力、地区产业结构均能显著提高二者的耦合度；其中，金融机构贷款力度、经济发展水平、地区产业结构分别对东、中、西部地区的二者耦合程度影响最大。建议要发挥好公共科技金融的积极作用，坚持技术创新和重视对创新型人才的培养，以提高科技金融与产业结构升级的耦合度，实现经济高质量发展。

Based on the panel data of 30 provinces (cities, municipalities) in China from 2009 to 2018, this paper uses entropy method, coupling model and static panel model to calculate the coupling degree between sci-tech finance and industrial structure upgrading,analyzing its influencing factors. The conclusions are as follows: (1) the coupling degree between sci-tech finance and industrial structure upgrading is on the rise as a whole, but there are obvious differences among regions, and the average coupling degree gradually decreases from east to west; (2) Government investment, financial institution loan, technological innovation ability and regional industrial structure can significantly improve the coupling degree between them; the loan strength of financial institutions, the level of economic development and the regional industrial structure have the greatest influence on the coupling degree of the two in the eastern, central and western regions. It is suggested that we should give full play to the positive role of public sci-tech finance, adhere to technological innovation and attach importance to the cultivation of innovative talents, so as to improve the coupling degree between sci-tech finance and industrial structure upgrading and realize high-quality economic development.

F832；F121.3

国家社会科学基金重点项目“新型城镇化促进区域协调发展的机制研究”（16AJL008）