Abstract:Based on the panel data of technology-based listed companies in China's growth enterprise market from 2010 to 2019,this paper empirically analyzes the influence of the characteristics of science and technology financial network on the enterprise technology innovation in different stages on the basis of dividing the enterprise life cycle.The results show the followings.①Network density has a positive effect on enterprise technology innovation,network centrality has an inverted U-shaped effect on enterprise technology innovation,and network connection strength has a positive U-shaped effect on enterprise technology innovation.②After dividing the enterprise life cycle,it is found that the promotion effect of network density exists at the same time in the growth period,maturity period and recession period;The inverted U-shaped effect of network centrality on enterprise technological innovation and the positive U-shaped effect of network connection strength on enterprise technological innovation only exist in mature and declining periods.Therefore,it is suggested that the government and financial institutions should work together to optimize the network environment of science and technology finance,and enterprises should choose high-quality partners according to their own development level,so as to enhance the enterprise technology innovation.
李媛媛, 刘思羽. 科技金融网络对企业技术创新的影响——基于企业生命周期视角[J]. 中国科技论坛, 2021(6): 119-128.
Li Yuanyuan, Liu Siyu. Influence of S&T Financial Network on Enterprise Technology Innovation——Based on the Enterprise Life Cycle Perspective. , 2021(6): 119-128.
[1]GRANOVETTER M.Economic action and social structure:the problem of embeddedness[J].American journal of sociology,1985,91 (3):481-510. [2]CHOI J,HYUN A S,CHA M S.The effects of network characteristics on performance of innovation clusters[J].Expert systems with applications,2013,40 (11):4511-4518. [3]FREEMAN C.Networks of innovators:a synthesis of research issues[J].Research policy,1991,20 (5):499-514. [4]KARRTZM S.Learning by association? Intergranizational networks and adaptation to environmental change[J].Academy of management journal,1998,41 (6):621-643. [5]陈佳莹,林少疆.企业创新网络关系特征对技术创新绩效的影响路径[J].统计与决策,2014 (2):186-188. [6]苑泽明,李田,王红.科技型中小企业创新效率评价研究——基于科技金融政策投入视角[J].科技管理研究,2016,36 (16):39-44. [7]蔺鹏,孟娜娜,李颖.科技金融政策与科技型中小企业创新绩效的耦合协调研究——以河北省为例[J].科技管理研究,2018,38 (3):54-62. [8]赵婧,吴珍珠,谢朝华.金融支持促进技术创新的区域性差异研究[J].财经理论与实践,2016,37 (5):38-42. [9]吴悦平,杨宜.科技金融网络对科技型中小企业技术创新绩效的影响[J].科技与经济,2016,29 (3):49-53. [10]HAIRE M.Biological models and empirical history in the growth of organizations[M].NewYork:John Wiley,1959. [11]GREINER L E.Evolution and revolution as organizations grow[J].Harvard business review,1972,76 (3):37-46. [12]DRAZIN R,KAZANJIAN R K.A reanalysis of Miller and Friesen's life cycle data[J].Strategic management journal,1990,11 (4):319~325. [13]钱燕,段姝,张林郁.科技型企业的融资结构与创新效率关系——来自创业板的经验证据[J].科技管理研究,2019,39 (21):53-60. [14]朱永明,赵程程,赵健,等.政府补助对企业自主创新的影响研究——基于企业生命周期视角[J].工业技术经济,2018,37 (11):27-34. [15]陈红,张玉,刘东霞.政府补助、税收优惠与企业创新绩效——不同生命周期阶段的实证研究[J].南开管理评论,2019,22 (3):187-200. [16]杜金岷,谭怡君,吴非.股票流动性、企业生命周期与技术创新[J].南京审计大学学报,2019,16 (4):61-71. [17]王旭,褚旭.基于企业规模门槛效应的外部融资对绿色创新影响研究[J].系统工程理论与实践,2019,39 (8):2027-2037. [18]蒋维平,王琦琦,黄文龙.技术创新联盟网络对企业创新绩效的影响机理——企业如何借助联盟能力提升绩效[J].科技管理研究,2017,37 (7):123-129. [19]吴绍玉,汪波,李晓燕,等.双重社会网络嵌入对海归创业企业技术创新绩效的影响研究[J].科学学与科学技术管理,2016,37 (10):96-106. [20]严子淳,刘刚,梁晗.风险投资人社会网络中心度对新三板企业创新绩效的影响研究[J].管理学报,2018,15 (4):523-529. [21]岳媛媛,姚凤桐.企业关系网络与技术创新绩效关系研究——基于中国上市公司的经验证据[J].科学管理研究,2015,33 (2):73-76. [22]BENNERM J,TUSHMAN M.Process management and technological innovation:a longitudinal study of the photography and paint industries[J].Administrative science quarterly,2002,47 (4):676-707. [23]童锦治,刘诗源,林志帆.财政补贴、生命周期和企业研发创新[J].财政研究,2018 (4):33-47. [24]DICKISONV.Cash flow patterns as a proxy for firm life cycle[J].The accounting review,2011,86 (6):1969-1994.