重庆市高端装备制造业技术创新效率评价研究
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摘要
以重庆市为例,运用DEA和DEA-Malmquist指数分析法,对2010—2016年重庆市高端装备制造业具有代表性的4个细分行业的技术创新效率进行静态和动态评价。静态评价表明,重庆市高端装备制业技术创新效率较高,但有部分行业未能达到DEA有效,其中仪器仪表制造业最弱的,主要原因是R&D人员以及技术经费出现了投入冗余;动态评价表明,2010—2016年间重庆市高端装备制造业发展呈缓慢上升趋势,这种趋势主要是由技术进步引起的,技术效率的贡献度并不大。最后得到继续加强人才、科研经费的投入力度、鼓励仪器仪表制造业企业技术创新、提升产业链合作关系的启示。
Taking Chongqing as an example, this paper uses DEA and DEA-Malmquist index analysismethod to evaluate the technical innovation efficiency of its four sub-sectors in 2010-2016. Static evaluation results: Chongqing high-end equipment industry technology innovation efficiency is high, but some industries failed to achieve DEA effective, among which instrument manufacturing industry is the weakest. The main reason is that R&D personnel and technical funds have been put into redundancy; Dynamic results: the development of high-end equipment manufacturing industry in Chongqing was slowly rising in 2010-2016 years. The trend is mainly caused by technological progress, and the contribution of technological efficiency is not large. Finally, we get the enlightenment of continuing to strengthen the input of talent and scientific research funds, encouraging the technological innovation of instrument manufacturing enterprises, and promoting the industrial chain cooperation.
Taking Chongqing as an example, this paper uses DEA and DEA-Malmquist index analysismethod to evaluate the technical innovation efficiency of its four sub-sectors in 2010-2016. Static evaluation results: Chongqing high-end equipment industry technology innovation efficiency is high, but some industries failed to achieve DEA effective, among which instrument manufacturing industry is the weakest. The main reason is that R&D personnel and technical funds have been put into redundancy; Dynamic results: the development of high-end equipment manufacturing industry in Chongqing was slowly rising in 2010-2016 years. The trend is mainly caused by technological progress, and the contribution of technological efficiency is not large. Finally, we get the enlightenment of continuing to strengthen the input of talent and scientific research funds, encouraging the technological innovation of instrument manufacturing enterprises, and promoting the industrial chain cooperation.
引文
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[6]吴传清,黄磊,文传浩.长江经济带技术创新效率及其影响因素研究[J].中国软科学,2017(5):160-170.
[7]朱鹏颐,刘东华,黄新焕.动态视角下城市科技创新效率评价研究:以福建九地级市为例[J].科研管理,2017,38(6):43-50.
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[10]KORTELAINEN M.Dynamic environmental performance analysis:a Malmquist index approach[J].Ecological Economics,2008,64(4):701-715.
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[13]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,2008,25(6).111-122.
[14]张玉婷,杨华领.技术创新效率评价方法综述[J].中国管理信息化,2018,21(4):82-84.
[2]彭靖里,邓艺,李建平.国内外技术创新理论研究的进展及其发展趋势[J].科技与经济,2006(4):13-16.
[3]AFRIAT S N.Efficiency estimation of production functions[J].International Economic Review,1972,13(3):568-598.
[4]王艳,龚新蜀,李津津.基于SFA模型的新疆装备制造业技术创新效率及影响因素分析[J].科技管理研究,2017,37(12):146-151.
[5]尹述颖,陈立泰.基于两阶段SFA模型的中国医药企业技术创新效率研究[J].软科学,2016,30(5):54-58.
[6]吴传清,黄磊,文传浩.长江经济带技术创新效率及其影响因素研究[J].中国软科学,2017(5):160-170.
[7]朱鹏颐,刘东华,黄新焕.动态视角下城市科技创新效率评价研究:以福建九地级市为例[J].科研管理,2017,38(6):43-50.
[8]LEE H,PARKA Y.Comparative evaluation of performance of national R&D programs with heterogeneous objectives:a DEA approach[J].European Journal of Operational Research,2009,196(3):847-855.
[9]NASIEROWSKI W,ARCELUS F J.On the efficiency of national innovation systems[J].Socio-Economic Planning Sciences,2003,37(3):215-234.
[10]KORTELAINEN M.Dynamic environmental performance analysis:a Malmquist index approach[J].Ecological Economics,2008,64(4):701-715.
[11]CHARNES A,COOPER W W,GOLANY B,et al.Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions[J].Journal of Econometrics,1985,30(1-2):91-107.
[12]BANKER R D,MAINDIRATTA A.Piecewise log linear estimation of efficient production surfaces[J].Management Science,1986,32(1):126-135.
[13]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,2008,25(6).111-122.
[14]张玉婷,杨华领.技术创新效率评价方法综述[J].中国管理信息化,2018,21(4):82-84.