基于三阶段DEA模型的国家中心城市制造企业创新效率研究
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摘要
采用数据包络分析(DEA)方法,从投入与产出角度对2012—2016年间国家中心城市72家制造企业创新活动进行评价与分析。在环境因素选取上,将制度环境对制造企业创新效率的影响纳入分析中。结果表明,国家中心城市制造企业创新综合效率总体偏低,不同城市的企业创新效率差异较大,制度环境对中心城市制造企业的创新效率有显著影响,可以通过改善制度环境来提高其创新效率。
Based on the DEAmodel,this paper evaluates and analyzes the innovation activities of 72 manufacturing enterprises in National Central Cities from 2012—2016. About environment variables,we analyze the impact of institutional environment on innovation efficiency of manufacturing enterprises. The result shows that the general level of innovation efficiency for manufacturing enterprises is low,with significant discrepancy between different cities;The institutional environment has a significant impact on the innovation efficiency of the manufacturing enterprises in National Central Cities. The innovation efficiency can be improved to some extent by improving the institutional environment.
Based on the DEAmodel,this paper evaluates and analyzes the innovation activities of 72 manufacturing enterprises in National Central Cities from 2012—2016. About environment variables,we analyze the impact of institutional environment on innovation efficiency of manufacturing enterprises. The result shows that the general level of innovation efficiency for manufacturing enterprises is low,with significant discrepancy between different cities;The institutional environment has a significant impact on the innovation efficiency of the manufacturing enterprises in National Central Cities. The innovation efficiency can be improved to some extent by improving the institutional environment.
引文
[1]CHEN K,GUANJ.Measuring the efficiency of China’s regional innovation systems:application of network data envelopment analysis (DEA) [J].Regional Studies,2012,46(3):355-377.
[2]BROEKEL T,ROGGE N,BRENNER T.The innovation efficiency of German regions-ashared-input DEA approach[J].Review of Regional Research,2018(1):77-109.
[3]晏蒙,孟令杰.基于DEA方法的中国工业科技创新效率分析 [J].中国管理科学,2016,23(S1):77-82.
[4]曹贤忠,曾刚,邹琳.长三角城市群R&D资源投入产出效率分析及空间分异 [J].经济地理,2016,35(1):104-111.
[5]李星宇,曹兴,马慧.长株潭地区新兴技术企业间协同创新影响因素与机制研究 [J].经济地理,2017,37(6):122-128.
[6]NING L,WANG F,LI J.Urban innovation,regional externalities of foreign direct investment and industrial agglomeration:evidence from Chinese cities [J].Research Policy,2016,45(4):830-843.
[7]MAYER H,SAGER F,KAUFMANN D,et al.Capital city dynamics:Linking regional innovation systems,locational policies and policy regimes [J].Cities,2016,50:11-20.
[8]FRIED H O,LOVELL C A K,SCHMIDT S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis [J].Journal of Productivity Analysis,2002,17(1/2):157-174.
[9]CULLMANN A,SANMIDT-EHMCKE J,ZLOCZYSTI P.R&D efficiency and barriers to entry:a two stage semi-parametric DEA approach [J].Oxford Economic Papers,2012,64:176-196.
[10]刘满凤,李圣宏.基于三阶段DEA模型的我国高新技术开发区创新效率研究 [J].管理评论,2016,28(1):42-52,155.
[11]MOEHRLE M G,WUSTMANS M,GERKEN J M.How business methods accompany technological innovations:a case study using semantic patent analysis and a novel informetric measure [J].R&D Management,2017,48(3):331-342.
[12]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):36-43,104.
[13]冯宗宪,王青,侯晓辉.政府投入、市场化程度与中国工业企业的技术创新效率 [J].数量经济技术经济研究,2011(4):3-17.
[14]韩东林,葛磊,程琪.基于DEA模型的中国物联网上市公司创新效率评价 [J].科技管理研究,2016,35(15):57-63.
[15]邵传林.制度环境、财政补贴与企业创新绩效:基于中国工业企业微观数据的实证研究 [J].软科学,2016,29(9):34-37,42.
[16]曹琪格,任国良,骆雅丽.区域制度环境对企业技术创新的影响 [J].财经科学,2014(1):71-80.
[17]王小鲁,樊纲,余静文.中国分省份市场化指数报告(2016) [M].北京:社会科学文献出版社,2017.
[2]BROEKEL T,ROGGE N,BRENNER T.The innovation efficiency of German regions-ashared-input DEA approach[J].Review of Regional Research,2018(1):77-109.
[3]晏蒙,孟令杰.基于DEA方法的中国工业科技创新效率分析 [J].中国管理科学,2016,23(S1):77-82.
[4]曹贤忠,曾刚,邹琳.长三角城市群R&D资源投入产出效率分析及空间分异 [J].经济地理,2016,35(1):104-111.
[5]李星宇,曹兴,马慧.长株潭地区新兴技术企业间协同创新影响因素与机制研究 [J].经济地理,2017,37(6):122-128.
[6]NING L,WANG F,LI J.Urban innovation,regional externalities of foreign direct investment and industrial agglomeration:evidence from Chinese cities [J].Research Policy,2016,45(4):830-843.
[7]MAYER H,SAGER F,KAUFMANN D,et al.Capital city dynamics:Linking regional innovation systems,locational policies and policy regimes [J].Cities,2016,50:11-20.
[8]FRIED H O,LOVELL C A K,SCHMIDT S S,et al.Accounting for environmental effects and statistical noise in data envelopment analysis [J].Journal of Productivity Analysis,2002,17(1/2):157-174.
[9]CULLMANN A,SANMIDT-EHMCKE J,ZLOCZYSTI P.R&D efficiency and barriers to entry:a two stage semi-parametric DEA approach [J].Oxford Economic Papers,2012,64:176-196.
[10]刘满凤,李圣宏.基于三阶段DEA模型的我国高新技术开发区创新效率研究 [J].管理评论,2016,28(1):42-52,155.
[11]MOEHRLE M G,WUSTMANS M,GERKEN J M.How business methods accompany technological innovations:a case study using semantic patent analysis and a novel informetric measure [J].R&D Management,2017,48(3):331-342.
[12]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):36-43,104.
[13]冯宗宪,王青,侯晓辉.政府投入、市场化程度与中国工业企业的技术创新效率 [J].数量经济技术经济研究,2011(4):3-17.
[14]韩东林,葛磊,程琪.基于DEA模型的中国物联网上市公司创新效率评价 [J].科技管理研究,2016,35(15):57-63.
[15]邵传林.制度环境、财政补贴与企业创新绩效:基于中国工业企业微观数据的实证研究 [J].软科学,2016,29(9):34-37,42.
[16]曹琪格,任国良,骆雅丽.区域制度环境对企业技术创新的影响 [J].财经科学,2014(1):71-80.
[17]王小鲁,樊纲,余静文.中国分省份市场化指数报告(2016) [M].北京:社会科学文献出版社,2017.