基于社会结构矩阵的区域科技创新政策绩效研究——基于北京市的实证分析
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摘要
基于社会结构矩阵研究框架,设定影响区域科技创新政策的4项一级指标和17项二级指标,运用熵权法进行权重确定,以北京市区域科技创新政策为例,对北京市2007—2016年间的区域科技创新政策绩效进行计算并分析。认为北京市区域科技创新政策绩效一直处于增长状态,且较小的科技投入能带来较高科技产出,但区域科技创新政策对环境的作用还比较单一,科技成果的实际转化还是亟待解决的一大问题。
Based on social fabric matrix. Based on the framework of social fabric matrix,this paper sets out four primary indicators and seventeen secondary indicators that affect the regional science and technology innovation policy. Entropy method is used to determine the weights. Taking the regional science and technology innovation policy of Beijing as an example,this paper calculates and analyzes the performance of regional science and technology innovation policy from 2007 to 2016 in Beijing. This paper argues that Beijing's regional science and policy performance has been in a state of growth,and small technology investments can bring high technology outputs. While the impact of regional science and technology innovation policy on the role of the environment is still relatively simple,actual transformation of scientific and technological achievements to economy achievements is still urgent problems to solve.
Based on social fabric matrix. Based on the framework of social fabric matrix,this paper sets out four primary indicators and seventeen secondary indicators that affect the regional science and technology innovation policy. Entropy method is used to determine the weights. Taking the regional science and technology innovation policy of Beijing as an example,this paper calculates and analyzes the performance of regional science and technology innovation policy from 2007 to 2016 in Beijing. This paper argues that Beijing's regional science and policy performance has been in a state of growth,and small technology investments can bring high technology outputs. While the impact of regional science and technology innovation policy on the role of the environment is still relatively simple,actual transformation of scientific and technological achievements to economy achievements is still urgent problems to solve.
引文
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[2]ANNE M. Ayresian technology,technological reasoning,and doomsday[J]. Journal of Economic Issues,1981,15(2):514-515.
[3]POLANYI K. The economy as instituted process[J]. Trade&Market in the Early Empires Economies in History&Theory,1957:248.
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[6]彭纪生,仲为国,孙文祥.政策测量、政策协同演变与经济绩效:基于创新政策的实证研究[J].管理世界,2008,24(9):25-36.
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[8]AXNSDEN S. Hitting the service excellence target[J]. Industrial Management,1989,31(1):6-13.
[9]蒋华林.台湾地区科技政策绩效、特点及启示[J].中国科技论坛,2012,28(9):48-52.
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[11]孙道军,工栋.高新技术产业集群区域R&D投入与创新产出的实证研究[J].现代管理科学,2010,29(6):69-71.
[12]刘锋,途宇铎,于娇.中国科技创新产出与经济增长的协整分析[J].科技管理研究,2014,34(17):5-12.
[13]段忠贤.自主创新政策的供给演进、绩效测量及优化路径研究[D].杭州:浙江大学,2014:5-67.
[14]刘会武,王胜光.创新政策系统分析:钻石模型的提出及应用[J].科学管理研究,2009,29(4):6-9.
[15]高峰.基于政策指数的科技政策实证研究[J].科技进步与对策,2013,30(19):105-108.
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[17]汪晓梦.区域性技术创新政策绩效评价的实证研究:基于相关性和灰色关联分析的视角[J].科研管理,2014,35(5):10-18.
[18]张永安,耿喆.我国区域科技创新政策的量化评价:基于PMC指数模型[J].科技管理研究,2015,35(14):26-37.
[19]张永安,郄海拓.金融政策组合对企业技术创新影响的量化评价:基于PMC指数模型[J].科技进步对策,2017,34(2):113-121.
[20]李晨光,张永安. SFM在集群科技政策中的应用[J].情报杂志,2012,31(9):43-67.
[21]HANNOURA A P,COTHREN G M,KHAIRY W M. The development of a sustainable development model framework[J]. Energy,2006,31(13):2269-2275.
[22]HAMERI A P. Technology transfer between basic research and industry[J]. Technovation,1996,16(2):51-57.
[23]DAWID,HERBERT,MICHAEL. Agent-based models for economic policy design[J]. Eastern Economic Journal,2011,37(1):44-50.
[24]AGHION P,DAVID P A,FORAY D. Science,technology and innovation for economic growth:linking policy research and practice in‘STIG Systems’[J]. Research Policy,2009,38(4):681-693.
[25]章穗,张梅,迟国泰.基于熵权法的科学技术评价模型[J].管理学报,2010,5(1):34-42.
[26]OECD. The Measurement of scientific and technical activities[M].Paris:Frascati Manual Press,1981:22-26.
[27]朱建军,刘思峰,方志耕.基于潜在发展态势的我国政府节能政策绩效动态多尺度评价[J].中国管理科学,2006,23(10):639-642.
[28]邹林全.科技创新政策绩效评估指标体系的设计[J].中国管理信息化,2010,6(1):50-53.
[29]冯锋,汪良兵.协同创新视角下的区域科技创新政策绩效提升研究:基于泛长三角区域的实证分析[J].科学学与科学技术管理,2011,32(12):109-115.
[30]陆添超,康凯.熵值法和层次分析法在权重确定中的应用[J].软件开发与设计,2009,31(22):19-20.
[2]ANNE M. Ayresian technology,technological reasoning,and doomsday[J]. Journal of Economic Issues,1981,15(2):514-515.
[3]POLANYI K. The economy as instituted process[J]. Trade&Market in the Early Empires Economies in History&Theory,1957:248.
[4]GREGORY H F. Integrating the social structure of accumulation and social accounting matrix with the social fabric matrix[J]. American Journal of Economics&Sociology,2011,70(5):1208-1233.
[5]FULLWILER S T,ELSENER W,NATARAJAN T. The social fabric matrix approach to policy analysis:an introduction[M]. New York:Springer,2009:39.
[6]彭纪生,仲为国,孙文祥.政策测量、政策协同演变与经济绩效:基于创新政策的实证研究[J].管理世界,2008,24(9):25-36.
[7]JONES L P,SAKONG L. Government,business and entrepreneurship in development:the Korean case[M]. Cambrige:Harvard University Press,1980:134-157.
[8]AXNSDEN S. Hitting the service excellence target[J]. Industrial Management,1989,31(1):6-13.
[9]蒋华林.台湾地区科技政策绩效、特点及启示[J].中国科技论坛,2012,28(9):48-52.
[10]LINK A N. Technological change and productivity growth[J]. Anphi Papers,1987,6(2):4-7.
[11]孙道军,工栋.高新技术产业集群区域R&D投入与创新产出的实证研究[J].现代管理科学,2010,29(6):69-71.
[12]刘锋,途宇铎,于娇.中国科技创新产出与经济增长的协整分析[J].科技管理研究,2014,34(17):5-12.
[13]段忠贤.自主创新政策的供给演进、绩效测量及优化路径研究[D].杭州:浙江大学,2014:5-67.
[14]刘会武,王胜光.创新政策系统分析:钻石模型的提出及应用[J].科学管理研究,2009,29(4):6-9.
[15]高峰.基于政策指数的科技政策实证研究[J].科技进步与对策,2013,30(19):105-108.
[16]李靖华,常晓然.我国流通产业创新政策协同研究[J].商业经济与管理,2014,34(9):5-16.
[17]汪晓梦.区域性技术创新政策绩效评价的实证研究:基于相关性和灰色关联分析的视角[J].科研管理,2014,35(5):10-18.
[18]张永安,耿喆.我国区域科技创新政策的量化评价:基于PMC指数模型[J].科技管理研究,2015,35(14):26-37.
[19]张永安,郄海拓.金融政策组合对企业技术创新影响的量化评价:基于PMC指数模型[J].科技进步对策,2017,34(2):113-121.
[20]李晨光,张永安. SFM在集群科技政策中的应用[J].情报杂志,2012,31(9):43-67.
[21]HANNOURA A P,COTHREN G M,KHAIRY W M. The development of a sustainable development model framework[J]. Energy,2006,31(13):2269-2275.
[22]HAMERI A P. Technology transfer between basic research and industry[J]. Technovation,1996,16(2):51-57.
[23]DAWID,HERBERT,MICHAEL. Agent-based models for economic policy design[J]. Eastern Economic Journal,2011,37(1):44-50.
[24]AGHION P,DAVID P A,FORAY D. Science,technology and innovation for economic growth:linking policy research and practice in‘STIG Systems’[J]. Research Policy,2009,38(4):681-693.
[25]章穗,张梅,迟国泰.基于熵权法的科学技术评价模型[J].管理学报,2010,5(1):34-42.
[26]OECD. The Measurement of scientific and technical activities[M].Paris:Frascati Manual Press,1981:22-26.
[27]朱建军,刘思峰,方志耕.基于潜在发展态势的我国政府节能政策绩效动态多尺度评价[J].中国管理科学,2006,23(10):639-642.
[28]邹林全.科技创新政策绩效评估指标体系的设计[J].中国管理信息化,2010,6(1):50-53.
[29]冯锋,汪良兵.协同创新视角下的区域科技创新政策绩效提升研究:基于泛长三角区域的实证分析[J].科学学与科学技术管理,2011,32(12):109-115.
[30]陆添超,康凯.熵值法和层次分析法在权重确定中的应用[J].软件开发与设计,2009,31(22):19-20.