研究论文

我国科技创新与金融发展的耦合协同测度——基于 VIF-变异系数的筛选

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  • 上海大学 管理学院, 上海 200444
于丽英(1969—), 女, 教授, 博士生导师, 研究方向为科技金融、创新与知识管理. E-mail: yuliying@shu.edu.cn

收稿日期: 2019-03-27

  网络出版日期: 2019-07-05

基金资助

上海市科技发展基金资助项目(18692107500)

Coupling synergy measure of Sci-Tech innovation and financial development in China: screening based on VIF-variation coefficient

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  • School of Management, Shanghai University, Shanghai 200444, China

Received date: 2019-03-27

  Online published: 2019-07-05

摘要

基于科技创新和金融发展的内涵, 建立了包含 89 个指标的初步评价体系, 并以我国28 个省市的数据为基础, 运用 VIF-变异系数法, 确定了耦合协同测度指标体系. 构建了科技创新与金融发展耦合协同测度模型, 对我国总体及 15 个试点地区近 10 年的科技创新和金融发展进行耦合协同测度及评价. 研究结果表明: 从总体上看, 我国科技创新和金融发展综合发展指数呈上升趋势, 科技创新与金融发展两系统耦合度较低, 耦合协同度由高度不协同发展逐渐转变为低度协同发展; 从区域上看, 试点地区的耦合协同度稳步提高且高于总体水平, 东部地区的耦合协同度高于中西部地区. 这说明试点地区的科技金融发展态势较好, 但东部和中西部地区的科技金融发展存在不同步、不均衡现象.

本文引用格式

朱佳慧, 于丽英 . 我国科技创新与金融发展的耦合协同测度——基于 VIF-变异系数的筛选[J]. 上海大学学报(自然科学版), 2021 , 27(4) : 785 -794 . DOI: 10.12066/j.issn.1007-2861.2169

Abstract

A preliminary evaluation system consisting of 89 indicators was established based on the connotation of Sci-Tech innovation and financial development in China. The coupling synergy measurement indicator system was determined using data from 28 provinces and cities in China and the VIF-variation coefficient method. First, the coupling synergy measurement model for Sci-Tech innovation and financial development was constructed. Subsequently, the coupling synergy measurement and evaluation of the Sci-Tech innovation and financial development in China and 15 pilot areas in the past decade were conducted. The research showed that, overall, the comprehensive development indicator of China's Sci-Tech innovation and financial development was on the rise. The coupling degree of Sci-Tech innovation and financial development was low, and the coupling synergy degree gradually developed from high-level non-synergy to low-level synergy. Regionally, the degree of the pilot areas' coupling synergy had steadily increased and was higher than the overall level. The coupling synergy degree of eastern regions was higher than that of central and western regions. The results indicated that the development of Sci-Tech finance in the pilot areas was better. However, it was unsynchronised and unbalanced in the eastern, central, and western regions.

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