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高校科研创新效率对比分析——基于全国30个省份的面板数据 被引量:46

A comparative analysis of China's university research innovation efficiency based on the panel data from 30 provinces and cities
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摘要 以2003-2011年间我国30个省市高校科研的投入产出数据为基础,采用DEA-Malmquist指数分析法测算了我国30个省市高校科研创新效率,结果表明:我国高校科技创新效率处于效率前沿面上,平均增长为9.7%,技术进步对高校科研创新效率的提高起到了推动作用;东部地区高校科研创新全要素生产率平均增长17.2%,超过了中部地区的7%和西部地区的6%,规模效率是造成东中西部高校科研效率差异的主要原因。为了有效的提高我国各省市的科研创新效率,以技术进步、纯技术效率、规模效率为标准对我国30个省市进行了聚类分析,并根据不同类别的省市高校科研创新效率的优劣势,提出针对性的建议和对策。 Based on 30 provincial universities' scientific research input and output data from 2003 to 2011,the paper measured Chinese provincial universities' scientific research efficiency with the method of DEA – Malmquist productivity index. This research showed that the efficiency of scientific and technological innovation in Chinese colleges and universities is located on the efficiency frontier surface with an average growth of 9. 7%. Technology progress has played a promoting role to enhance the efficiency of innovation in the universities' scientific research. The total factor productivity of scientific research innovation in colleges and universities in eastern region increased by 17. 2% on average,7% more than in the central regions and 6% more than in the western regions. The scale efficiency is the major driver of the differences. In order to effectively improve the efficiency of scientific research innovation in provinces and cities of China,this paper clustered and analyzed different types and features of regional total factor university research innovation efficiency on three indicators,including technological progress,pure technical efficiency and scale efficiency. This paper also puts forward countermeasures and suggestions to improve TFEE of different regions according to the advantages and disadvantages of universities' scientific research innovation efficiency belonging to the different categories.
出处 《科研管理》 CSSCI 北大核心 2015年第S1期181-186,共6页 Science Research Management
基金 国家社科基金资助项目(12BGL024) 四川省科技厅软科学项目(2014ZR0108) 四川高校科研创新团队建设计划(13TD0009)
关键词 高校 科研创新 全要素生产率 聚类分析 colleges and universities scientific research innovation DEA-Malmquist clustering analysis method
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参考文献4

  • 1Aleksandra Parteka,Joanna Wolszczak-Derlacz.Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices[J]. Journal of Productivity Analysis . 2013 (1)
  • 2Jeremy Foltz,Bradford Barham,Jean-Paul Chavas,Kwansoo Kim.Efficiency and technological change at US research universities[J]. Journal of Productivity Analysis . 2012 (2)
  • 3Fare Rolf,Shawna Grosskopf,Marry Norris,et al.Productivity Growth, Technical Progress, and Efficiency Changes in Industrialized Countries[].The American Economist.1994
  • 4T.J.Coelli,D.S.P.Rao,C.J.O’’Donnel,G.E.Battese.An Introduction to Efficiency and Productivity Analysis. . 2005

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