中文

Journal of Shanghai University >

2021 , Vol. 27 >Issue 4: 785 - 794

DOI: https://doi.org/10.12066/j.issn.1007-2861.2169

Research Articles

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

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

Received date: 2019-03-27

  Online published: 2019-07-05

Fold

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.

Key words： Sci-Tech innovation; financial development; VIF-variation coefficient method; indicator screening; coupling synergy

Cite this article

ZHU Jiahui, YU Liying . Coupling synergy measure of Sci-Tech innovation and financial development in China: screening based on VIF-variation coefficient[J]. Journal of Shanghai University, 2021 , 27(4) : 785 -794 . DOI: 10.12066/j.issn.1007-2861.2169

References

[1] Ang J B. Research, technological change and financial liberalization in South Korea[J]. Journal of Macroeconomics, 2010, 32(1):457-468.
[2] Popov A, Roosenboom P. Venture capital and patented innovation: evidence from Europe [J]. Social Science Electronic Publishing, 2012, 27(71):447-482.
[3] Chowdhury R H, Min M. Financial market development and the effectiveness of R$\&$D investment: evidence from developed and emerging countries[J]. Research in International Business $\&$ Finance, 2012, 26:258-272.
[4] Schinckus C. Financial innovation as a potential force for a positive social change: the challenging future of social impact bonds[J]. Research in International Business $\&$ Finance, 2017, 39:727-736.
[5] 芦锋, 韩尚容. 我国科技金融对科技创新的影响研究——基于面板模型的分析[J]. 中国软科学, 2015(6):139-147.
[5] Lu F, Han S R. Research on the impact of science finance on technological innovation: based on panel data model[J]. China Soft Science, 2015(6):139-147.
[6] Zhou Y T, Qian S T. Financial development, technology innovation and foreign trade industrial upgrading: an empirical study of spatial econometric[J]. International Economics $\&$ Trade Research, 2012, 28(4):90-102.
[7] Perez C. The double bubble at the turn of the century: technological roots and structural implications[J]. Financial Market Research, 2013, 33(4):779-805.
[8] 谭跃, 周华, 高丽. 广东省科技创新和金融市场协同效应分析及对策[J]. 科技管理研究, 2017, 37(4):44-49.
[8] Tan Y, Zhou H, Gao L. Analysis and countermeasure on the synergy effect of science and technology innovation and financial market in Guangdong Province[J]. Science and Technology Management Research, 2017, 37(4):44-49.
[9] 王宏起, 徐玉莲. 科技创新与科技金融协同度模型及其应用研究[J]. 中国软科学, 2012(6):129-138.
[9] Wang H Q, Xu Y L. A measure model for synergy degree between Sci-Tech innovation and Sci-Tech finance and its application[J]. China Soft Science, 2012(6):129-138.
[10] 刘志华, 李林, 姜郁文. 我国区域科技协同创新绩效评价模型及实证研究[J]. 管理学报, 2014, 11(6):861-868.
[10] Liu Z H, Li L, Jiang Y W. Evaluation model for and empirical study on performance of regional science and technology synergy innovation[J]. Chinese Journal of Management, 2014, 11(6):861-868.
[11] 曹慧, 石宝, 赵凯. 我国省级绿色创新能力评价及实证[J]. 管理学报, 2016, 13(8):1215-1222.
[11] Cao H, Shi B, Zhao K. Evaluation on provincial green innovation capability: based on index screening model of collinearity-coefficient of variation[J]. Chinese Journal of Management, 2016, 13(8):1215-1222.
[12] 王莹莹, 王仁祥. 科技创新和金融创新耦合机理及实证分析[J]. 技术经济与管理研究, 2017(12):66-71.
[12] Wang Y Y, Wang R X. Coupling mechanism and empirical analysis of Sci-Tech innovation and financial innovation[J]. Journal of Technical Economics $\&$ Management, 2017(12):66-71.
[13] 张延平, 李明生. 我国区域人才结构优化与产业结构升级的协调适配度评价研究[J]. 中国软科学, 2011(3):177-192.
[13] Zhang Y P, Li M S. Evaluation on coordination and matching degree between regional talent structure optimization and industrial structure upgrade in China[J]. China Soft Science, 2011(3):177-192.
[14] 康书生, 杨镈宇. 京津冀区域金融协同发展的理论探讨与实证检验[J]. 河北经贸大学学报, 2016, 37(6):112-118.
[14] Kang S S, Yang B Y. Theory analysis and empirical test on coordinated development of finance in Beijing-Tianjin-Hebei region[J]. Journal of Hebei University of Economics and Business, 2016, 37(6):112-118.
[15] 王明英. 我国科技金融与科技创新协同发展水平测度及提升[J]. 金融理论探索, 2017(1):68-75.
[15] Wang M Y. The estimation and improvement of China's science and technology finance and integrated development level of science and technology innovation[J]. Exploration of Financial Theory, 2017(1):68-75.
[16] 武玉英, 魏国丹, 何喜军. 基于耦合系数模型的高技术制造业与要素协同度测度及实证[J]. 系统工程, 2017, 35(7):93-100.
[16] Wu Y Y, Wei G D, He X J. Empirical study on synergy degree measurement of high technology manufacturing and elements based on capacity coupling coefficient model[J]. Systems Engineering, 2017, 35(7):93-100.
[17] 张怡梦, 尚虎平. 中国西部生态脆弱性与政府绩效协同评估——面向西部 45 个城市的实证研究[J]. 中国软科学, 2018(9):91-103.
[17] Zhang Y M, Shang H P. The coupling coordination evaluation of the ecological vulnerability and performance of the local government in Western China: an exploratory analysis based on 45 cities in Western China[J]. China Soft Science, 2018(9):91-103.
[18] 张勇, 蒲勇健, 陈立泰. 城镇化与服务业集聚——基于系统耦合互动的观点[J]. 中国工业经济, 2013(6):57-69.
[18] Zhang Y, Pu Y J, Chen L T. Urbanization and service industry agglomeration: a view based on system coupling interaction[J]. China Industrial Economics, 2013(6):57-69.
Options
Outlines

/

〈 〉