基于两阶段DEA模型的区域创新投入产出评价及科技创新政策绩效提升路径研究——基于科技创新政策情报的分析
|
摘要
[目的/意义]结合科技创新政策情报和我国31个省市的科技创新成果及效率研究我国科技创新政策绩效的提升路径。[方法/过程]运用改进的两阶段动态网络DEA模型,将科技创新政策发布后各地区创新行为分为两阶段,第一阶段是从创新投入到中间创新产出阶段,第二阶段是中间产出到成果转化阶段,得到两阶段效率得分。[结果/结论]研究发现第二阶段是创新效率提升的瓶颈,也是科技创新政策绩效提升的瓶颈,以此为研究重点,基于虚拟前沿面来挖掘提升创新效率以及科技创新政策绩效的具体方法并最终提出政策建议。
[Purpose/Significance]This paper studies the improvement path of the scientific and technological innovation policy performance in China based on the analysis of the scientific and technological innovation policy information and the scientific and technological innovation achievements and efficiency of the 31 provinces and cities in China.[Method/Process]Based on the improved two-stage dynamic network DEA model,the paper divides the innovation activities in different provinces and cities after the release of science and technology innovation policies into two stages. The first stage is from innovation input to intermediate innovation output and the second stage is from the intermediate output to the transformation of results. And the efficiency scores for the two stages are identified.[Result/Conclusion]The research results show that the second stage is the bottleneck of both the innovation efficiency improvement and science and technology innovation policy performance. Focusing on this bottleneck problem,based on virtual front surface,the paper explores ways to improve the efficiency of innovation and the scientific and technological innovation policy performance. Policy recommendations are also presented at last.
[Purpose/Significance]This paper studies the improvement path of the scientific and technological innovation policy performance in China based on the analysis of the scientific and technological innovation policy information and the scientific and technological innovation achievements and efficiency of the 31 provinces and cities in China.[Method/Process]Based on the improved two-stage dynamic network DEA model,the paper divides the innovation activities in different provinces and cities after the release of science and technology innovation policies into two stages. The first stage is from innovation input to intermediate innovation output and the second stage is from the intermediate output to the transformation of results. And the efficiency scores for the two stages are identified.[Result/Conclusion]The research results show that the second stage is the bottleneck of both the innovation efficiency improvement and science and technology innovation policy performance. Focusing on this bottleneck problem,based on virtual front surface,the paper explores ways to improve the efficiency of innovation and the scientific and technological innovation policy performance. Policy recommendations are also presented at last.
引文
[1]章祥荪,贵斌威.中国全要素生产率分析:Malmquist指数法评述与应用[J].数量经济技术经济研究,2008(6):111-122.
[2]Lewis H F,Sexton T R.Network DEA:Efficiency analysis of organizations w ith complex internal structures[J].Computers and Operations Research,2004,31(9):1365-1410.
[3]Kao C,Hwang S N.Efficiency decomposition two-stage data envelopment analysis:An application non-life insurance companies in Taiw an[J].European Journal of Operational Research,2008,185(1):418-429.
[4]Cuan J C,Chen K H.Mcasuring the innovation production process:A cross region empirical study of China's hi-tech innovations[J].Tec novation,2010,30(5/6):348-358.
[5]董艳梅,朱英明.中国高技术产业创新效率评价[J].科技进步与对策,2015(24):106-113.
[6]王赫一,张屹山.两阶段DEA前沿面投影问题研究—兼对我国上市银行运营绩效进行评价[J].中国管理科学,2012(20):115-119.
[7]庞瑞芝,范玉,李扬.中国科技创新支撑经济发展了吗[J].数量经济技术经济研究,2014(10):37-52.
[8]Jones,Charles I,Williams,et al.Measuring the social return to R&D[C].Finance and Economics Discussion Series Staff Working Paper 1997-12,Federal Reserve Board,Washington,D.C.,1997.
[9]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(12):109-115.
[10]孙道军,工栋.高新技术产业集群区域R&D投入与中间创新产出的实证研究[J].现代管理科学,2010(6):69-71.
[11]王斌,谭清美.要素投入能推动高技术产业创新成果的转化吗?[J].科学学研究,2015(6):850-858.
[12]Link,Albert N.Technological change and productivity growth[C].In the Series Fundamentals of Pure and Applied Economics,vol.13 Chur.New York:Harw ood Academic Publishers,1987.
[13]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(1):50-53.
[14]Acs Z J,Audretsc D B.Innovation in firms:An empirical analysis[J].The Americal Economic Review,1988,78(4):678-690.
[15]Ehie I C,Olibe K.The elfec of R&D investment on firm value:An examination of US manufacturing and service industries[J].International Journal of Production Economic,2010,128(1):127-135.
[16]张玉臣,吕宪鹏.高新技术企业创新绩效影响因素研究[J].科研管理,2013,34(12):58-65.
[17]Parthasarthy R,Hammond J.Product innovation input and outcome:M oderating effects of the innovation process[J].Journal of Engineering and Technology M anagement,2002,19(1):75-91.
[18]曹勇,苏凤娇.高技术产业技术创新投入对创新绩效影响的实证研究—基于全产业及其下属五大行业面板数据的比较分析[J].科研管理,2012,33(9):22-31.
[19]张宗益,周勇,钱灿,等.基于SFA模型的我国区域技术创新效率的实证研究[J].软科学,2006,20(2):125-128.
[20]吴延兵.生产率对中国经济增长的贡献:新的估计[J].经济学,2008(3):78-91.
[21]张军,章元.对中国资本存量K的再估计[J].经济研究,2003(7):31-39.
[22]张永安,马昱.基于R语言的区域技术创新政策量化分析[J].情报杂志,2017,36(3):113-118.
[2]Lewis H F,Sexton T R.Network DEA:Efficiency analysis of organizations w ith complex internal structures[J].Computers and Operations Research,2004,31(9):1365-1410.
[3]Kao C,Hwang S N.Efficiency decomposition two-stage data envelopment analysis:An application non-life insurance companies in Taiw an[J].European Journal of Operational Research,2008,185(1):418-429.
[4]Cuan J C,Chen K H.Mcasuring the innovation production process:A cross region empirical study of China's hi-tech innovations[J].Tec novation,2010,30(5/6):348-358.
[5]董艳梅,朱英明.中国高技术产业创新效率评价[J].科技进步与对策,2015(24):106-113.
[6]王赫一,张屹山.两阶段DEA前沿面投影问题研究—兼对我国上市银行运营绩效进行评价[J].中国管理科学,2012(20):115-119.
[7]庞瑞芝,范玉,李扬.中国科技创新支撑经济发展了吗[J].数量经济技术经济研究,2014(10):37-52.
[8]Jones,Charles I,Williams,et al.Measuring the social return to R&D[C].Finance and Economics Discussion Series Staff Working Paper 1997-12,Federal Reserve Board,Washington,D.C.,1997.
[9]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(12):109-115.
[10]孙道军,工栋.高新技术产业集群区域R&D投入与中间创新产出的实证研究[J].现代管理科学,2010(6):69-71.
[11]王斌,谭清美.要素投入能推动高技术产业创新成果的转化吗?[J].科学学研究,2015(6):850-858.
[12]Link,Albert N.Technological change and productivity growth[C].In the Series Fundamentals of Pure and Applied Economics,vol.13 Chur.New York:Harw ood Academic Publishers,1987.
[13]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(1):50-53.
[14]Acs Z J,Audretsc D B.Innovation in firms:An empirical analysis[J].The Americal Economic Review,1988,78(4):678-690.
[15]Ehie I C,Olibe K.The elfec of R&D investment on firm value:An examination of US manufacturing and service industries[J].International Journal of Production Economic,2010,128(1):127-135.
[16]张玉臣,吕宪鹏.高新技术企业创新绩效影响因素研究[J].科研管理,2013,34(12):58-65.
[17]Parthasarthy R,Hammond J.Product innovation input and outcome:M oderating effects of the innovation process[J].Journal of Engineering and Technology M anagement,2002,19(1):75-91.
[18]曹勇,苏凤娇.高技术产业技术创新投入对创新绩效影响的实证研究—基于全产业及其下属五大行业面板数据的比较分析[J].科研管理,2012,33(9):22-31.
[19]张宗益,周勇,钱灿,等.基于SFA模型的我国区域技术创新效率的实证研究[J].软科学,2006,20(2):125-128.
[20]吴延兵.生产率对中国经济增长的贡献:新的估计[J].经济学,2008(3):78-91.
[21]张军,章元.对中国资本存量K的再估计[J].经济研究,2003(7):31-39.
[22]张永安,马昱.基于R语言的区域技术创新政策量化分析[J].情报杂志,2017,36(3):113-118.