基于熵值法的中国科技金融对实体经济增长贡献度研究  

Study on the contribution degree of sci-tech finance to real economy growth in China based on entropy method

作　　者：赵玉珍[1] 初桂民 ZHAO Yu-zhen;CHU Gui-min(College of Economics and Management,Qingdao University of Science and Technology,Qingdao 266061,China)

机构地区：[1]青岛科技大学经济与管理学院,山东青岛266061

出　　处：《青岛科技大学学报（社会科学版）》2021年第3期39-46,共8页Journal of Qingdao University of Science and Technology(Social Sciences)

基　　金：教育部产学合作协同育人项目(201902150021);青岛市社科规划项目(QDSKL2101207);青岛科技大学国内访问学者项目(QUST-GN-2021-001)。

摘　　要：以2009—2018年全国31个省份的面板数据为蓝本,利用熵值法测算各省份的科技金融发展水平,运用线性分析法测算各省份科技金融对实体经济增长的贡献度,并将31个省份划分为四类地区进行聚类分析。结果显示:中国科技金融发展的速度提升较快,东部地区的科技金融指数明显高于中西部地区,而且四类地区的区域异质性明显。因而优化科技金融的资源配置、加快科技金融的平台建设,能够促进科技金融更好地服务于实体经济的发展。Based on the panel data of 31 provinces in China from 2009 to 2018,this paper uses entropy method to measure the development level of sci-tech finance in each province,uses linear correlation to measure the contribution of sci-tech finance in each province to the growth of real economy,and divides 31 provinces into four categories for cluster.The results show that the development of sci-tech finance in China is fast,the index of sci-tech finance in the eastern China is obviously higher than that in central and western China,and the regional heterogeneity of the four types of regions is obvious.Therefore,through optimizing the resources allocation of sci-tech finance,and accelerating the construction of sci-tech finance platform,sci-tech finance can be promoted to better serve the development of real economy.

关 键 词：熵值法 科技金融 科技创新 贡献度 

分 类 号：F124[经济管理—世界经济]