|
|
|
| Research on Performance Improvement Path of High-tech Industry Innovation Efficiency from the Perspective of Configuration：a Fuzzy-Set Qualitative Comparative Analysis |
| Feng Xu,Wang Fan |
| （School of Business, Southwest Minzu University, Chengdu 610041, China） |
|
|
|
|
Abstract Based on provincial data of in China from 2016 to 2018, with the help of fsQCA3.0 software, from the view of configuration, this paper analyzes the mechanism of the industrial environment, external financial support and regional economic level factors on the two-stage innovation efficiency, and obtains several equivalent combinations constitute sufficient conditions for high R&D and high efficiency of transformation of results.The study found that: there are four paths to achieve high R&D efficiency.That external financial support and regional economic level are substitutes in R&D stage.When the regional economic base is relatively weak, we need to reasonably play the positive role of government support or foreign investment according to the industrial environment.There are also four paths to achieve high achievement transformation efficiency.Good industrial environment or excellent economic base is the important support to achieve high efficiency of achievement transformation.In addition, there is a certain substitution relationship between regional economic development level and industrial structure, enterprise scale and external financial support.The conclusions are helpful to explain the differences of previous research conclusions and provide theoretical support for the innovation and development of high-tech industries.
|
|
Received: 13 November 2020
|
|
|
|
|
|
| [1] 黄磊,吴传清.长江经济带城市工业绿色发展效率及其空间驱动机制研究[J].中国人口·资源与环境,2019,29(8):40-49.[2] 杜康,袁宏俊,郑亚男.安徽省大中型工业企业全要素生产率及影响因素研究:基于DEA-Malmquist生产率指数法[J].科技管理研究,2019,39(6):41-48.[3] 余泳泽.创新要素集聚、政府支持与科技创新效率:基于省域数据的空间面板计量分析[J].经济评论,2011，32(2):93-101.[4] 赵庆.产业结构优化升级能否促进技术创新效率[J].科学学研究,2018,36(2):239-248.[5] 李金滟,李超,李泽宇.城市绿色创新效率评价及其影响因素分析[J].统计与决策,2017，33(20):116-120.[6] 朱有为,徐康宁.中国高技术产业研发效率的实证研究[J].中国工业经济,2006,23(11):38-45.[7] CZARNITZKI D,HUSSINGER K.The link between R&D subsidies,R&D spending and technological performance[J].SSRN Electronic Journal, 2004（9）:4-56[8] 刘军,李廉水,王忠.产业聚集对区域创新能力的影响及其行业差异[J].科研管理,2010,31(6):191-198.[9] 杨浩昌,李廉水,刘军.高技术产业聚集对技术创新的影响及区域比较[J].科学学研究,2016,34(2):212-219.[10] 蔡昉,王美艳,曲玥.中国工业重新配置与劳动力流动趋势[J].中国工业经济,2009，26(8):5-16.[11] 于明超,申俊喜.区域异质性与创新效率:基于随机前沿模型的分析[J].中国软科学,2010,25(11):182-192.[12] 李秦阳.基于随机前沿方法的区域创新效率影响因素分析[J].统计与决策,2019,35(14):108-111.[13] 冯志军,陈伟.中国高技术产业研发创新效率研究:基于资源约束型两阶段DEA模型的新视角[J].系统工程理论与实践,2014,34(5):1202-1212.[14] 刘树林,姜新蓬,余谦.中国高技术产业技术创新三阶段特征及其演变[J].数量经济技术经济研究,2015,32(7):104-116.[15] 肖仁桥,钱丽,陈忠卫.中国高技术产业创新效率及其影响因素研究[J].管理科学,2012,25(5):85-98.[16] GORODNICHENKO Y,SVEJNAR J,TERRELL K.Do foreign investment and trade spur innovation[J].European Economic Review, 2020, 121: 103343.[17] 蔡翔,赵娟.大学—企业—政府协同创新效率及其影响因素研究[J].软科学,2019,33(2):56-60.[18] 王小鲁.中国城市化路径与城市规模的经济学分析[J].经济研究,2010,45(10):20-32.[19] 崔蓉,费锦华,孙亚男.中国省际绿色创新生产率的变动及其空间溢出效应研究[J].宏观经济研究,2019，41(6):132-145.[20] 支燕,白雪洁.我国高技术产业创新绩效提升路径研究:自主创新还是技术外取[J].南开经济研究,2012，28(5):51-64.[21] 段晶晶.产学研协同创新绩效提升路径研究:一个理论分析框架[J].内蒙古社会科学(汉文版),2014,35(2):119-123.[22] GARCA LVAREZ-COQUE J M,MAS-VERD F,ROIG-TIERNO N.Technological innovation versus non-technological innovation:different conditions in different regional contexts[J].Quality & Quantity,2017,51(5):1955-1967.[23] 陈寒松,牟筱笛,贾竣云.创业企业何以提高创新绩效:基于创业学习与商业模式创新协同联动视角的QCA方法[J].科技进步与对策,2020,37(6):19-26.[24] 张辉,苏昕.网络嵌入、动态能力与企业创新绩效——模糊集定性比较分析[J].科技进步与对策, 2020,37(6): 1-9.[25] MEYER A D,TSUI A S,HININGS C R.Configurational approaches to organizational analysis[J].Academy of Management Journal,1993,36(6):1175-1195.[26] RAGIN C C.Fuzzy-eet social science[M].Chicago：University of Chicago Press,2000.[27] 池毛毛,赵晶,李延晖,等.企业平台双元性的实现构型研究:一项模糊集的定性比较分析[J].南开管理评论,2017,20(3):65-76.[28] 杜运周,贾良定.组态视角与定性比较分析(QCA):管理学研究的一条新道路[J].管理世界,2017，33(6):155-167.[29] RAGIN C C.The comparative method[M].California:University of California Press,2014.[30] 白俊红.企业规模、市场结构与创新效率:来自高技术产业的经验证据[J].中国经济问题,2011，53(5):65-78.[31] 刘杨,王海芸.政府科技投入与企业技术创新效率的耦合协调度:以北京市为例[J].技术经济,2016,35(10):66-71.[32] RAGIN C C.Redesigning social inquiry: fuzzy sets and beyond [M].Chicago：University of Chicago Press, 2008.[33] SCHNEIDER C Q,WAGEMANN C.Set-theoretic methods for the social sciences[M].Cambridge:Cambridge University Press,2012.[34] FISS P C.Building better causal theories:a fuzzy set approach to typologies in organization research[J].Academy of Management Journal,2011,54(2):393-420.[35] 胡艳,汪徐.长江经济带产业结构优化对区域创新绩效的影响差异分析[J].科技管理研究,2019,39(14):86-93.[36] PORTER M E.The competitive advantage of nations[M].New York：Free Press, 1990.[37] KROGSLUND C,CHOI D D,POERTNER M.Fuzzy sets on shaky ground:parameter sensitivity and confirmation bias in fsQCA[J].Political Analysis,2015,23(1):21-41.[38] KIM M.Many roads lead to Rome:implications of geographic scope as a source of isolating mechanisms[J].Journal of International Business Studies,2013,44(9):898-921.[39] 张明,杜运周.组织与管理研究中QCA方法的应用:定位、策略和方向[J].管理学报,2019,16(9):1312-1323. |
|
|
|
