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数据包络分析(DEA)是采用数学规划方法,以相对效率概念为基础,利用观察到的数据样本,对投入和产业指标的权重为变量进行评价运算。以此方法评估2006—2007年中国制造业的28个产业的R&D投入产业效率和科技竞争能力,结果显示,我国各产业大中型制造业企业R&D活动不仅存在规模上的差异,而且利用效率也有较大的差距,制造业各产业的科技产出普遍不足。
Data Envelopment Analysis (DEA) is a mathematical programming method that uses the observed data samples to evaluate the weights of inputs and industry indicators as variables based on the relative efficiency concept. Using this method to evaluate the R & D input efficiency and scientific and technological competitiveness of 28 industries in China’s manufacturing industry from 2006 to 2007, the results show that R & D activities of large and medium-sized manufacturing enterprises in various industries in China not only have differences in scale but also have higher utilization efficiency In the big gap, the output of science and technology in various industries in manufacturing industry is generally inadequate.