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我国科技创新效率的实证研究——基于DEA-Malmquist模型和中国省际面板数据
引用本文:王珍珍,黄茂兴.我国科技创新效率的实证研究——基于DEA-Malmquist模型和中国省际面板数据[J].技术经济,2013(10):55-61.
作者姓名:王珍珍  黄茂兴
作者单位:福建师范大学经济学院,福州350007
基金项目:2012年教育部青年科学基金项目(12YJC630220); 2013年福建省软科学一般项目(2013R0046); 2013年杭州市哲学社会科学规划课题基地立项项目(2013JD29)资助
摘    要:运用DEA-Malmquist模型对2002—2010年我国省域科技创新效率进行了静态和动态分析。研究结果表明:十六大以来,我国整体科技创新的投入、产出是有效的;我国科技创新效率存在明显的梯度特征,即南部沿海经济区的科技创新效率最高,东北综合经济区的科技创新效率最低,部分省份仍然存在投入冗余和产出不足的情况;全要素生产率的改善主要得益于技术进步和规模效率的改进,但是各地区全要素生产率的改善并不均匀。最后指出,未来发展仍需合理调节资源配置、提高科技成果转化效率、制定和实施促进科技成果转化等各种措施。

关 键 词:科技创新效率  效率评价  面板数据  DEA  Malmquist指数

Empirical Study on Scientific and Technological Innovation Efficiency:Based on DEA-Malmquist Model and Provincial Panel Data of China
Wang Zhenzhen,Huang Maoxing.Empirical Study on Scientific and Technological Innovation Efficiency:Based on DEA-Malmquist Model and Provincial Panel Data of China[J].Technology Economics,2013(10):55-61.
Authors:Wang Zhenzhen  Huang Maoxing
Institution:(School of Economics, Fujian Normal University, Fuzhou 350007, China)
Abstract:This paper uses the DEA-Malmquist model to analyze the static and dynamic characters of China′s scientific and technological innovation efficiency at provincial level during 2002-2010.The results show as follows:China's overall scientific and technological innovation is effective,and scientific and technological innovation efficiency shows obvious gradient characteristics,namely that of south coastal economic zone is the highest;there are still some provinces being in redundancy and output shortage situation;the improvement of total factor productivity is mainly due to technical progress and scale efficiency improvement,but the difference in different regions.Finally,it proposes that adjusting resource allocation,improving transformation efficiency and formulating and implementing transformation measures should be done.
Keywords:scientific and technological innovation efficiency  efficiency evaluation  panel data  DEA  Malmquist index
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