中国高技术产业区域创新效率的动态演变趋势
|
摘要
目前从区域视角探讨中国高技术产业创新效率动态演变趋势的研究基本为空白。为进一步描述和呈现近10年以来中国高技术产业区域创新效率的演变特征,并分析其隐含的政策启示和管理意义,提出一个较为综合的指标体系和评价方法,并结合2006—2017年的相关统计年鉴,对中国不同区域的高技术产业创新效率的动态演变趋势进行分析和对比研究。实证分析结果显示,近10年以来中国高技术产业创新效率整体呈现出典型的研发和转化不均衡状态,其中转化效率更低。这或许需要引起相关部门的关注,并在"十三五"期间的区域科技政策制定中适当采取针对性的措施。
At present, the research on the dynamic evolution trend of innovation efficiency of high-tech industry in China from a regional perspective is basically blank. In order to further describe and present the evolution characteristics of regional innovation efficiency of China's high-tech industries in the past 10 years, and analyze its implied policy implications and management significance, this paper puts forward a more comprehensive index system and evaluation method, combined with the relevant statistical yearbooks of 2006-2017, the dynamic evolution trend of innovation efficiency of high-tech industries in different regions of China is analyzed and compared. The results of empirical analysis show that the innovation efficiency of China's high-tech industry as a whole presents a typical unbalanced state of R&D and transformation in recent 10 years, among which the efficiency of transformation is even lower. This may require the attention of relevant departments and appropriate measures to be taken in the formulation of regional science and technology policy during the 13 th Five-Year Plan.
At present, the research on the dynamic evolution trend of innovation efficiency of high-tech industry in China from a regional perspective is basically blank. In order to further describe and present the evolution characteristics of regional innovation efficiency of China's high-tech industries in the past 10 years, and analyze its implied policy implications and management significance, this paper puts forward a more comprehensive index system and evaluation method, combined with the relevant statistical yearbooks of 2006-2017, the dynamic evolution trend of innovation efficiency of high-tech industries in different regions of China is analyzed and compared. The results of empirical analysis show that the innovation efficiency of China's high-tech industry as a whole presents a typical unbalanced state of R&D and transformation in recent 10 years, among which the efficiency of transformation is even lower. This may require the attention of relevant departments and appropriate measures to be taken in the formulation of regional science and technology policy during the 13 th Five-Year Plan.
引文
[1]张同斌,高铁梅.高技术产业产出增长与关联效应的国际比较:基于英、美、日、中、印、巴六国透雨产出数据的实证研究[J].经济学(季刊),2013,12(3):847-868.
[2]伍文浩.美日韩高新技术产业增加值率变化特点研究及启示[J].科技管理研究,2013(7):119-123.
[3]CHARNES A,COOPER W W,RHODES E.Measuring the efficiency of decision making units[J].European Journal of Operational Research,1978,2(6):429-444.
[4]FRITSCH M,SLAVTCHEV V.How does industry specialization affect the efficiency of regional innovation systems?[J].The Annals of Regional Science,2010,45(1):87-108.
[5]颜莉.我国区域创新效率评价指标体系实证研究[J].管理世界,2012(5):174-175.
[6]ZABALA-ITURRIAGAOITIA J M,VOIGT P,GUTIERREZ-GRACIA A,et al.Regional innovation systems:how to assess performance[J].Regional Studies,2007,41(5):661-672.
[7]THOMAS V J,SHARMA S,JAIN K S.Using patents and publications to assess R&D efficiency in the states of the USA[J].World Patent Information,2011,33(1):4-10.
[8]CARAYANNIS E G,GRIGOROUDIS E,GOLETSIS Y.A multilevel and multistage efficiency evaluation of innovation systems:a multiobjective DEA approach[J].Expert Systems with Applications,2016,62(15):63-80.
[9]GUAN J C,CHEN K H.Modeling macro-R&D production frontier performance:an application to Chinese province-level R&D[J].Scientometrics,2010,82(1):165-173.
[10]李牧南,周俊锋,朱桂龙,等.广东专业镇技术创新效率评价:基于DEA和问卷实证的双重视角[J].科学学研究,2015,33(4):627-640.
[11]王黎萤,王佳敏,虞微佳.区域专利密集型产业创新效率评价及提升路径研究:以浙江省为例[J].科研管理,2017,38(3):29-37.
[12]代明,刘可新,陈俊.中国高技术产业研发创新效率研究[J].中国科技论坛,2016(1):5-10.
[13]SUN L Y,MIAO C L,YANG L.Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method[J].Ecological Indicators,2017,73:554-558.
[14]SIMAR L,WILSON P.Estimation and inference in two-stage semi-parametric models of production processes[J].Journal of Econometrics,2007,136(1):31-64.
[15]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.
[16]赵树宽,余海晴,巩顺龙.基于DEA方法的吉林省高技术企业创新效率研究[J].科研管理,2013,34(2):36-43.
[17]刘秉镰,徐锋,李兰冰.中国医药制造业创新效率评价与要素效率解构[J].管理世界,2013(2):169-171.
[18]GUAN J C,CHEN K H.Modeling the relative efficiency of national innovation systems[J].Research Policy,2012,41(1):102-115.
[19]马建峰,何枫.包含共享投入与自由中间产出的技术创新两阶段DEA效率评价[J].系统工程,2014,32(1):1-9.
[20]李牧南,黄芬.我国中型高技术企业创新效率的区域比较研究:创新价值链视角[J].工业技术经济,2016(12):137-142.
[21]肖仁桥,王宗军,钱丽.我国不同性质企业技术创新效率及其影响因素研究:基于两阶段价值链的视角[J].管理工程学报,2015,29(2):190-201.
[22]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):1201-1212.
[23]宇文晶,马丽华,李海霞.基于两阶段串联DEA的区域高技术产业创新效率及影响因素研究[J].研究与发展管理,2015,27(3):137-146.
[24]CHANG T S,TONE K,WU C H.Past-present-future intertemporal DEA models[J].Journal of the Operational Research Society,2015,66(1):16-32.
[25]BEHZADIAN M,OTAGHSARA S K,YAZDANI M,et al,A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications,2012,39(17):13051-13069.
[26]卞亦文,许皓.基于虚拟包络面和TOPSIS的DEA排序方法[J].系统工程理论与实践,2013,33(2):482-488.
[27]李牧南,黄芬,王雯殊,等.“研发-转化”解耦视角的创新效率评价模型研究[J].科学学与科学技术管理,2017,38(9):50-67.
[28]李鹏,胡汉辉.我国工业细分行业效率研究:基于三阶段DEA模型的分析[J].山西财经大学学报,2014,36(2):72-82.
[29]官建成,陈凯华.我国高技术产业技术创新效率的测度[J].数量经济技术经济研究,2009(10):19-33.
[30]刘晖,刘轶芳,乔晗,等.我国战略性新兴产业技术创新效率研究[J].系统工程理论与实践,2015,35(9):2296-2302.
[31]韩晶.中国高技术产业创新效率研究:基于SFA方法的实证分析[J].科学学研究,2010,28(3):467-472.
[32]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.
[33]王敏,辜胜阻.中国高技术产业技术创新能力的实证分析[J].中国科技论坛,2015(3):67-73.
[2]伍文浩.美日韩高新技术产业增加值率变化特点研究及启示[J].科技管理研究,2013(7):119-123.
[3]CHARNES A,COOPER W W,RHODES E.Measuring the efficiency of decision making units[J].European Journal of Operational Research,1978,2(6):429-444.
[4]FRITSCH M,SLAVTCHEV V.How does industry specialization affect the efficiency of regional innovation systems?[J].The Annals of Regional Science,2010,45(1):87-108.
[5]颜莉.我国区域创新效率评价指标体系实证研究[J].管理世界,2012(5):174-175.
[6]ZABALA-ITURRIAGAOITIA J M,VOIGT P,GUTIERREZ-GRACIA A,et al.Regional innovation systems:how to assess performance[J].Regional Studies,2007,41(5):661-672.
[7]THOMAS V J,SHARMA S,JAIN K S.Using patents and publications to assess R&D efficiency in the states of the USA[J].World Patent Information,2011,33(1):4-10.
[8]CARAYANNIS E G,GRIGOROUDIS E,GOLETSIS Y.A multilevel and multistage efficiency evaluation of innovation systems:a multiobjective DEA approach[J].Expert Systems with Applications,2016,62(15):63-80.
[9]GUAN J C,CHEN K H.Modeling macro-R&D production frontier performance:an application to Chinese province-level R&D[J].Scientometrics,2010,82(1):165-173.
[10]李牧南,周俊锋,朱桂龙,等.广东专业镇技术创新效率评价:基于DEA和问卷实证的双重视角[J].科学学研究,2015,33(4):627-640.
[11]王黎萤,王佳敏,虞微佳.区域专利密集型产业创新效率评价及提升路径研究:以浙江省为例[J].科研管理,2017,38(3):29-37.
[12]代明,刘可新,陈俊.中国高技术产业研发创新效率研究[J].中国科技论坛,2016(1):5-10.
[13]SUN L Y,MIAO C L,YANG L.Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method[J].Ecological Indicators,2017,73:554-558.
[14]SIMAR L,WILSON P.Estimation and inference in two-stage semi-parametric models of production processes[J].Journal of Econometrics,2007,136(1):31-64.
[15]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.
[16]赵树宽,余海晴,巩顺龙.基于DEA方法的吉林省高技术企业创新效率研究[J].科研管理,2013,34(2):36-43.
[17]刘秉镰,徐锋,李兰冰.中国医药制造业创新效率评价与要素效率解构[J].管理世界,2013(2):169-171.
[18]GUAN J C,CHEN K H.Modeling the relative efficiency of national innovation systems[J].Research Policy,2012,41(1):102-115.
[19]马建峰,何枫.包含共享投入与自由中间产出的技术创新两阶段DEA效率评价[J].系统工程,2014,32(1):1-9.
[20]李牧南,黄芬.我国中型高技术企业创新效率的区域比较研究:创新价值链视角[J].工业技术经济,2016(12):137-142.
[21]肖仁桥,王宗军,钱丽.我国不同性质企业技术创新效率及其影响因素研究:基于两阶段价值链的视角[J].管理工程学报,2015,29(2):190-201.
[22]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):1201-1212.
[23]宇文晶,马丽华,李海霞.基于两阶段串联DEA的区域高技术产业创新效率及影响因素研究[J].研究与发展管理,2015,27(3):137-146.
[24]CHANG T S,TONE K,WU C H.Past-present-future intertemporal DEA models[J].Journal of the Operational Research Society,2015,66(1):16-32.
[25]BEHZADIAN M,OTAGHSARA S K,YAZDANI M,et al,A state-of the-art survey of TOPSIS applications[J].Expert Systems with Applications,2012,39(17):13051-13069.
[26]卞亦文,许皓.基于虚拟包络面和TOPSIS的DEA排序方法[J].系统工程理论与实践,2013,33(2):482-488.
[27]李牧南,黄芬,王雯殊,等.“研发-转化”解耦视角的创新效率评价模型研究[J].科学学与科学技术管理,2017,38(9):50-67.
[28]李鹏,胡汉辉.我国工业细分行业效率研究:基于三阶段DEA模型的分析[J].山西财经大学学报,2014,36(2):72-82.
[29]官建成,陈凯华.我国高技术产业技术创新效率的测度[J].数量经济技术经济研究,2009(10):19-33.
[30]刘晖,刘轶芳,乔晗,等.我国战略性新兴产业技术创新效率研究[J].系统工程理论与实践,2015,35(9):2296-2302.
[31]韩晶.中国高技术产业创新效率研究:基于SFA方法的实证分析[J].科学学研究,2010,28(3):467-472.
[32]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.
[33]王敏,辜胜阻.中国高技术产业技术创新能力的实证分析[J].中国科技论坛,2015(3):67-73.