科研管理

科研管理 ›› 2010, Vol. 31 ›› Issue (5): 45-53 .

• 论文 • 上一篇    下一篇

制造业R&D效率测度及对策研究 —基于中国17个制造行业的数据

吴和成，华海岭，杨勇松   

  1. 南京航空航天大学经济与管理学院，江苏 南京210016
  • 收稿日期:2010-10-24 修回日期:2010-01-07 出版日期:2010-10-20 发布日期:2010-10-20

Studies on the R&D efficiency of manufacturing industries of China —Based on the data of 17 manufacturing industries in China

Wu Hecheng, Hua Hailing, Yang Yongsong   

  1. School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2010-10-24 Revised:2010-01-07 Online:2010-10-20 Published:2010-10-20

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摘要： 摘要：创新绩效的一个重要标志是R&D效率。运用超效率DEA模型对我国十五期间17个制造行业的R&D效率进行了测度，并对R&D投入利用率进行了分析。结果表明，在十五期间有60%以上的制造行业R&D投入资源未能得到有效利用，仅见少数制造行业R&D效率呈现逐步改善趋势，大多数制造行业R&D效率未见明显提高，而是呈现波动变化状态。在分析结果的基础上提出了一些改进制造业R&D效率的对策建议。

关键词: R&, D效率, 制造行业, 超效率DEA模型, 对策

Abstract: Abstract： R&D efficiency is the mark for the innovation performance. The R&D efficiency of 17 manufacturing industries ill China during the 10th Five-Year Plan period (2001-2005) is analyzed based on a super-efficiency Data Envelopment Analysis(DEA) model，and the utilization ratio of R&D input is analyzed. The results show that more than 60% of manufacturing industries had a lower efficiency, and only a few of them have improved their efficiencies during this period, others just showed an erratic fluctuation of R&D efficiency. On the basis of the empirical analysis, some suggestions for improving the R&D efficiency of Chinese manufacturing industries are put forward.

Key words: Key words：R&D efficiency, manufacturing industry, super-efficiency DEA model, suggestion

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