This paper evaluates the innovation efficiencies and determinants of China's three main innovation bodies - enterprises, universities and institutes by building stochastic frontier module, and gives an empirical research of the panel data that covers 30 provinces in China during 1999 to 2008. The results show that all the innovation activities of the three main bodies depend much on innovation resources, and the innovation efficiencies of them are all lower than 1, enterprises perform worst. Technological inefficiency factors notably exist. Governmental funds and the linkage of the main bodies have distinct roles. Moreover, the cluster analysis reveals that there are considerably less enterprise innovation high-efficiency areas, and relatively more university and institute innovation high-efficiency areas. Efficiency differences between the main bodies of the regional innovation, and the differences between the areas show the power source and characteristics of the development of the regional innovation.
Key words
Innovation body /
innovation efficiency /
stochastic frontier analysis /
regional difference
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References
[1] Acs, Z. J., L. Anselin, A. Varga, Patents and Innovation Counts as Measures of Regional Production of New Knowledge[J]. Research Policy, 2002,31:1069-1085.
[2] M. Fritsch, Measuring the Quality of Regional Innovation System—A Knowledge Production Function Approach[J]. International Regional Science Review, 2002, 25(1):86-101.
[3] 吴玉鸣.中国区域研发、知识溢出与创新的空间计量经济研究[M].人民出版社,2007:37-50.
[4] 李习保.中国区域创新能力变迁的实证分析:基于创新系统的观点[J].管理世界,2007(12):18-30.
[5] S. Larsson, A. Malmberg, Innovations, Competitiveness and Local Embeddedness: A Study of Machinery Producers in Sweden[J] Geografiska Annaler. Series B:Human Geography, 1999,81(1):.1-18.
[6] R. Hassink, M.Wood. Geographic Clustering in the German Opto-electronics Industry: Its Impact on R&D Collaboration and Innovation[J]. Entrepreneurship & Regional Development, 1998,10(4):277 296.
[7] G. H. Jefferson, H. Bai, X. Guan, et al., R&D Performance in Chinese Industry[J]. Economics of Innovation and New Technology, 2006,15(4): 345-366.
[8] Zhang, Anming, Zhang, Yimin and Zhao, Ronald, A Study of the R&D Efficiency and Productivity of Chinese Firms[J]. Journal of Comparative Economics, 2003,31(3):444-464.
[9] 吴延兵. R&D与生产率—基于中国制造业的实证研究[J].经济研究,2006(11):60-71.
[10] 陈勇, 李小平.中国工业行业的技术进步与工业经济转型—对工业行业技术进步的DEA法衡量及转型特征分析[J].管理世界,2007(6):56-63.
[11] 白俊红, 江可申,李婧.应用随机前沿明星评测中国区域研发创新效率[J].管理世界,2009(10):51-61.
[12] 欧文汉.瑞典、德国支持自主创新的财政政策及对我国的启示[J].中国财政,2012(9):73-76.
[13] G. E.Battese, T. J. Coelli, A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data[J]. Empirical Economics, 1995,20:325-332.
[14] 程华.科技资助促进企业R&D研究[J].科研管理,2005(4):68-71.
[15] Goolsbee, Does Government R&D Policy Mainly Benefit Scientists and Engineers?[J]. American Economic Review, 1998, 88(2): 298-302.
[16] 王缉慈.创新的空间:产业集群和区域发展[M].北京:北京大学出版社,2001.王辑慈(2004).
[17] 陈佳贵, 王钦. 中国产业集群可持续发展与公共政策选择[J].中国工业经济,2005(9):5-10.
[18] 沈坤荣,孙文杰.市场竞争、技术溢出与内资企业R&D效率.管理世界,2009(1):38-48.
[19] 张杰,刘志彪,郑江淮.中国制造业企业创新活动的关键影响因素研究—基于江苏省制造业企业问卷的分析[J].管理世界,2007(6):64-74.
