科技金融与区域创新系统协同发展机理——基于空间计量模型的实证分析
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摘要
分析区域创新系统演化要素和科技金融发展现状。以我国29个省份作为研究样本并分为东北、东南、西北、中部和南部5个区域,建立科技金融和科技创新复合系统协同度评价指标体系,利用协同度模型计算区域复合系统的有序度和协同度,结果显示:东南协同状况最好,其次是中部和南部,东北和西北呈非协同状态,发展水平最低。进而建立复合系统协同度影响因素指标体系,利用空间计量模型、引入空间因素探究各因素对区域复合系统协同的影响,结果表明:科技创新支持、资本市场回报、财政科技支出强度和高新市场竞争力对区域复合系统协同度有正反馈效应,而开放程度的影响不显著。最后提出促进区域科技金融和科技创新协同发展的对策建议。
This paper analyzes the evolutional elements of regional innovation system and the present situation of the development of science and technology finance, taking 29 provinces of China as research samples, which are divided into five regions: northeast, southeast, northwest, central and southern regions. The evaluation index system of coordination degree of science and technology finance and science and technology innovation compound system is established, and the order degree and coordination degree of regional composite system are calculated by using synergy degree model. The results show that the coordination status of southeast region is the best, followed by the middle and south regions, the northeast and northwest regions are in a non-cooperative state with the lowest level of development.Then we set up the index system of factors influencing the cooperation degree of compound system of science and technology finance and science and technology innovation, using the spatial measurement model, introducing the spatial factors to explore the influence of each factor on the coordination of regional compound system. The result shows that the support of scientific and technological innovation is: the return of capital market, the intensity of fiscal science and technology expenditure and the competitiveness of high-tech market have a positive feedback effect on the synergy degree of regional composite system, but the influence of openness is not significant. Finally, some suggestions are put forward to promote the coordinated development of regional science and technology finance and science and technology innovation.
This paper analyzes the evolutional elements of regional innovation system and the present situation of the development of science and technology finance, taking 29 provinces of China as research samples, which are divided into five regions: northeast, southeast, northwest, central and southern regions. The evaluation index system of coordination degree of science and technology finance and science and technology innovation compound system is established, and the order degree and coordination degree of regional composite system are calculated by using synergy degree model. The results show that the coordination status of southeast region is the best, followed by the middle and south regions, the northeast and northwest regions are in a non-cooperative state with the lowest level of development.Then we set up the index system of factors influencing the cooperation degree of compound system of science and technology finance and science and technology innovation, using the spatial measurement model, introducing the spatial factors to explore the influence of each factor on the coordination of regional compound system. The result shows that the support of scientific and technological innovation is: the return of capital market, the intensity of fiscal science and technology expenditure and the competitiveness of high-tech market have a positive feedback effect on the synergy degree of regional composite system, but the influence of openness is not significant. Finally, some suggestions are put forward to promote the coordinated development of regional science and technology finance and science and technology innovation.
引文
[1]赵昌文.科技金融[M].北京:科学出版社,2009.
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[6]刘强,李晓娣,杨威,等.跨国公司R&D机构与区域创新系统RIS耦合机制研究[J].科研管理,2015,36(增刊1):42-46,75.
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[14]徐玉莲,王宏起.科技金融对技术创新的支持作用:基于Bootstrap方法的实证分析[J].科技进步与对策,2012,29(3):1-4.
[15]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.
[16]徐玉莲,王玉冬,林艳.区域科技创新与科技金融耦合协调度评价研究[J].科学学与科学技术管理,2011,32(12):116-122.
[17]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.
[18]刘湘云,韦施威,刘兆庆.群体动力学视角下科技创新与金融创新耦合机制研究:以广东省为例[J].科技管理研究,2018,38(15):15-25.
[19]王昆,宋海洲.三种客观权重赋权法的比较分析[J].技术经济与管理研究,2003(6):48-49.
[20]李虹,张希源.区域生态创新协同度及其影响因素研究[J].中国人口·资源与环境,2016,26(6):43-51.
[21]CLIFF A D,ORD J K.Spatial processes:models&applications[M].Abingdon:Taylor&Francis,1981.
[22]勒沙杰,佩斯.空间计量经济学导论[M].北京:北京大学出版社,2014.
[23]朱大玮,雷良海.我国财政科技支出结构优化探讨:基于科技金融视角[J].科学管理研究,2012,30(2):66-70.
[2]张兴旺,陈希敏.科技金融创新融合问题研究[J].科学管理研究,2017,35(2):100-103.
[3]郑磊,张伟科.科技金融对科技创新的非线性影响:一种U型关系[J].软科学,2018,32(7):16-20.
[4]李兴伟.中关村国家示范区科技金融创新分析与趋势预测[J].科技进步与对策,2011,28(9):33-37.
[5]潘昕昕,熊明,贾建平.湖北省促进科技成果转化的科技金融支持机制及启示[J].中国科技投资,2011(3):53-56.
[6]刘强,李晓娣,杨威,等.跨国公司R&D机构与区域创新系统RIS耦合机制研究[J].科研管理,2015,36(增刊1):42-46,75.
[7]NASTASE C,KAJANUS M.The role of the universities in a regional innovation system:a comparative A'Wot-analysis[J].The Amfiteatru Economic Journal,2008,10(23):219-224.
[8]PEKKARINEN S,HARMAAKORPI V.Building regional innovation networks:the definition of an age business core process in a regional innovation system[J].Regional Studies,2006,40(4):401-413.
[9]DOLOREUX D,DIONNE S.Is regional innovation system development possible in peripheral regions?Some evidence from the case of La Pocatière,Canada[J].Entrepreneurship and Regional Development,2008,20(3):259-283.
[10]COOKE P.Transition regions:green innovation and economic development[M]//FERREIRA J J M,RAPOSO M,RUTTENP.Cooperation,clusters,and knowledge transfer:universities and firms towards regional competitiveness.Heidelberg:Springer,2013:105-125.
[11]HUS P-S,TAN X,XU Y.Financial development and innovation:cross-country evidence[J].Journal of Financial Economics,2014,112(1):116-135.
[12]GUARNIERI A,LIU P.To what extent do financing constraints affect Chinese firms'innovation activities[J].International Review of Financial Analysis,2014,36:223-240.
[13]张玉喜,赵丽丽.中国科技金融投入对科技创新的作用效果:基于静态和动态面板数据模型的实证研究[J].科学学研究,2015,33(2):177-184,214.
[14]徐玉莲,王宏起.科技金融对技术创新的支持作用:基于Bootstrap方法的实证分析[J].科技进步与对策,2012,29(3):1-4.
[15]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.
[16]徐玉莲,王玉冬,林艳.区域科技创新与科技金融耦合协调度评价研究[J].科学学与科学技术管理,2011,32(12):116-122.
[17]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.
[18]刘湘云,韦施威,刘兆庆.群体动力学视角下科技创新与金融创新耦合机制研究:以广东省为例[J].科技管理研究,2018,38(15):15-25.
[19]王昆,宋海洲.三种客观权重赋权法的比较分析[J].技术经济与管理研究,2003(6):48-49.
[20]李虹,张希源.区域生态创新协同度及其影响因素研究[J].中国人口·资源与环境,2016,26(6):43-51.
[21]CLIFF A D,ORD J K.Spatial processes:models&applications[M].Abingdon:Taylor&Francis,1981.
[22]勒沙杰,佩斯.空间计量经济学导论[M].北京:北京大学出版社,2014.
[23]朱大玮,雷良海.我国财政科技支出结构优化探讨:基于科技金融视角[J].科学管理研究,2012,30(2):66-70.