基于DEA模型的高技术产业R&D效率评价  

Evaluation on the R&D efficiency of high-tech industries based on DEA model

作　　者：戴万亮[1] 金彦龙[1] 王乐[1] 

机构地区：[1]渤海大学管理学院,辽宁锦州121013

出　　处：《河北工业科技》2015年第2期95-101,共7页Hebei Journal of Industrial Science and Technology

基　　金：教育部人文社会科学研究基金(12YJA630060);辽宁省社会科学规划基金(L13BJL008);辽宁省社科联2014年度经济社会发展立项课题(2014lslktdglx-01)

摘　　要：作为创新的"孵化器",高技术产业的R&D效率问题至关重要。从区域与行业交叉的视角出发,选取R&D活动人员折合全时当量和R&D经费内部支出作为投入指标,有效发明专利数和新产品销售收入作为产出指标,运用DEA模型研究了中国高技术产业5个行业在17个省市的R&D活动效率,运用层次聚类分析对17个省市加以聚类。研究结果表明:中国高技术产业R&D效率普遍偏低,没有任何一个省市的5个高技术产业均处于较高的R&D效率上;区域间发展很不平衡,高技术产业行业差异比较明显;个别省市的5个高技术产业的R&D效率都很低;传统"创新"大省R&D效率并不突出,存在严重的资源浪费。针对存在的问题,从追求效率、追求精益、协同发展和加强政策引导等方面提出了对策与建议。As the incubator of innovation, it is very important of R＆D efficiency to high-teeh industries. From the cross perspective of regional and industry, R＆D activity equivalent to full-time equivalent staff and intramural R＆D expenditure are selected as input indicators, and number of valid patents and new product sales revenue are selected as output indicators. The R＆D efficiency of 5 high-tech industries in 17 provinces is calculated based on DEA model and clustered based on cluster analysis. The results show that there are some problems in R＆~D of high-tech industry in China. Firstly, the R＆D efficiency of high-tech industries is generally low, and none of the five provincial high-tech industries in 17 provinces is at a higher R＆D efficiency. Secondly, regional development is unbalanced and high-tech industry sector differences are obvious in 17 provinces. Thirdly, the R＆D efficiency of all high-teeh industries in a few provinces is all very low. Lastly, the RS^D efficiency of high- tech industries of traditional innovation provinces is not outstanding, and resources waste is seriously. In view of the existing problems, some countermeasures and suggestions are proposed, such as pursuing efficiency, pursuing lean, collaborative devel- opment and strengthening policy guidance.

关 键 词：研究与开发管理 高技术产业 数据包络分析 研发效率 效率评价 

分 类 号：F204[经济管理—国民经济]