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

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

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PDF(1706 KB)
科研管理 ›› 2010, Vol. 31 ›› Issue (5) : 45-53.
论文

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
作者信息 +

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
Author information +
文章历史 +

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。

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.

关键词

R& / D效率 / 制造行业 / 超效率DEA模型 / 对策

Key words

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

引用本文

导出引用
吴和成,华海岭,杨勇松. 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[J]. 科研管理. 2010, 31(5): 45-53
Wu Hecheng, Hua Hailing, Yang Yongsong. Studies on the R&D efficiency of manufacturing industries of China —Based on the data of 17 manufacturing industries in China[J]. Science Research Management. 2010, 31(5): 45-53
中图分类号: F270   

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