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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
引用本文: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.
作者姓名:吴和成  华海岭  杨勇松
作者单位: 南京航空航天大学经济与管理学院,江苏 南京210016
基金项目:国家社科基金重点项目,教育部人文社会科学研究规划基金,南京航空航天大学哲学社会科学基金重点项目
摘    要:创新绩效的一个重要标志是RD效率。运用超效率DEA模型对我国十五期间17个制造行业的RD效率进行了测度,并对RD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RD投入资源未能得到有效利用,仅见少数制造行业RD效率呈现逐步改善趋势,大多数制造行业RD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RD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
收稿时间:2010-10-24
修稿时间:2010-1-7

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.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.
Authors:Wu Hecheng  Hua Hailing  Yang Yongsong
Institution:School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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.
Keywords:Key words:R&  D efficiency  manufacturing industry  super-efficiency DEA model  suggestion
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