政府投入、市场化程度与中国工业企业的技术创新效率被引量：228

Government Investment,Degree of Marketization and Technological Innovation Efficiency of China's Industrial Enterprises

原文传递

导出

摘要本文应用两阶段半参数DEA方法估计了样本期间内,中国30个省区市大中型工业企业技术创新活动的技术与规模效率,实证分析了政府投入与市场化程度变量对创新效率的影响程度与方向。研究发现,政府投入与创新活动的技术效率之间呈现出不显著的负相关关系,其对创新活动的规模效率则具有显著的负向影响。市场化程度对创新的技术效率具有显著的正向影响,而它对规模效率的影响却是显著为负的。 In this paper, authors estimate the technological innovation efficien- cy of large and medium - sized industrial enterprises in China＇s 30 provinces and an- alyze the effects of government investment and degree of marketization on the inno- vation efficiency using the two - stage semi - parametric DEA approach. The empiri- cal results show that government investment has insignificant negative impact on the technical efficiency, and has significant negative effect on the scale efficiency of innovation efficiency. Degree of marketization is significantly positive in enhancing the technical efficiency of innovation, while there exists significant negative rela- tionship between it and scale efficiency of innovation.

作者冯宗宪王青侯晓辉

机构地区西安交通大学经济与金融学院西安交通大学金禾经济研究中心西安交通大学管理学院

出处《数量经济技术经济研究》 CSSCI 北大核心 2011年第4期3-17,33,共16页 Journal of Quantitative & Technological Economics

基金国家自然科学基金"海外或港澳青年学者合作研究基金"(编号70528002) 中国博士后科学基金(编号20090451388)资助

关键词创新效率两阶段半参数DEA法政府投入市场化程度 Technological Innovation Efficiency Two- stage Semi- parametric DEA Approach Government Investment Degree of Marketization

分类号 F062.4 [经济管理—政治经济学]

引文网络
相关文献

参考文献34

1Simar, L. , 2003, Detecting Outliers in Frontier Models : A Simple Approach [J], Journal of Pro-ductivity Analysis, 20, 391-424.
2Simar, L. and Wilson, P.W. , 2007, Estimation and Inference in Two - stage, Semi parametricModels of Production Processes [J], Journal of Econometrics, 136, 31-64.
3Charnes, A. , Cooper, W. W. and Rhodes, E. , 1978, Measuring the Efficiency of Decision -mak- ing Units [J]. European Journal of Operational Research, 2, 429-444.
4Banker, R.D. , Charnes, A. and Cooper, W.W. , 1984, SomeModels for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis [J]. Management Science, 30, 1078-1029.
5Seiford, L. M. , 1996, Data Envelopment Analysis: The Evolution of the State of the Art (1978- 1995) [J]. Journal of Productivity Analysis, 7, 99-138.
6Lee, H. Y. and Park, Y. T. , 2005, An International Comparison of RD Efficiency : DEA Ap- proach [J]. Asian Journal of Technology Innovation, 13, 207-222.
7Smirlis, Y.G. , Maragos, E. K. and Dimitris, K. D. , 2006, Data Envelopment Analysis with Miss-ing Values: An Interval DEA Approach [J], Applied Mathematics and Computation, 177, 1-10.
8Cullmann, A., Ehmcke, J. S. and Zloczysti, P., 2009, Innovation, R&DEfficiency and the Ira-pact of the Regulatory Environment [R], DIW Discussion Papers.
9Cazals, C. , Florens, J. and Simar, L. , 2002, Nonparametric Frontier Estimation. A Robust Ap-proach [J], Journal of Econometrics, 106, 1-25.
10Barnett, V. , Lewis, T. , 1995, Outliers in Statistical Data [M], Chichester: Wiley.