中国科技金融发展水平、区域差异及动态分布演进  

The Development Level,Regional Differences and Dynamic Distribution Evolution of Science and Technology Finance in China

作　　者：雷曜[1] 邢宇 熊鹭[1] 王文蔚 Lei Yao;Xing Yu;Xiong Lu;Wang Wenwei

机构地区：[1]中国人民银行金融研究所,北京100033

出　　处：《上海金融》2024年第7期27-37,共11页Shanghai Finance

摘　　要：本文首先从金融与创新环境、科技金融投入、科技企业融资环境、区域科技产出和科技金融盈利五个方面构建了科技金融综合评价指标体系,运用熵值法测算了2019-2022年我国31个省(区、市)科技金融水平综合指数及五个子系统指数,并对我国的科技金融水平及其发展情况进行分析。然后使用Dagum基尼系数对全国以及国内八大经济区科技金融发展水平及五个子系统的差异来源进行分析,并使用Kernel密度估计刻画我国科技金融发展的分布动态及演进趋势,最后提出了相应的政策建议。本文的研究对评价我国各区域的科技金融发展水平,因地制宜推动区域科技金融发展具有重要的理论和现实意义。This paper constructs a comprehensive evaluation index system of science and technology finance from five aspects:the financial and innovation environment,the investment of science and technology finance,the financing environment of science and technology enterprises,the regional science and technology output and the profit of science and technology finance.It uses the entropy method to calculate the comprehensive index of the level of science and technology finance and five subsystem indexes of 31 provinces(autonomous regions,municipalities)in China from 2019 to 2022,and analyzes the level and development of science and technology finance in China.Then,the Dagum Gini coefficient is used to analyze the development level of science and technology finance in China and the eight major economic regions and the sources of differences in the five subsystems.The kernel density estimation is used to characterize the distribution dynamics and evolution trend of China’s science and technology finance development.Finally,the corresponding policy recommdations are put forward.The research of this paper has important theoretical and practical significance for evaluating the development level of science and technology finance in various regions of China and promoting the development of regional science and technology finance according to local conditions.

关 键 词：科技金融指数 Dagum基尼系数 Kernel密度估计 

分 类 号：F22[经济管理—国民经济]