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安徽省规上制造业企业R&D投入产出效率分析
引用本文:彭良玉.安徽省规上制造业企业R&D投入产出效率分析[J].科技和产业,2018(9):72-76.
作者姓名:彭良玉
作者单位:安徽省科学技术情报研究所, 合肥 230011
摘    要:规模以上制造业企业是工业企业的主要组成部分,而规模以上工业企业又是整个社会创新的主体,因此需要了解规模以上制造业企业的R&D投入产出效率,并在此基础上找出提高其效率的有效办法。采用DEA模型对安徽省规模以上制造业企业的31个行业和16个地区的R&D投入产出效率进行定量评价。经研究分析发现,安徽省规模以上制造业企业的大部分行业的R&D投入产出效率较高,但仍然有部分行业存在R&D投入浪费和R&D产出不足的现象。另外,安徽省不同区域间也存在着R&D资源配置不均的情况。因此,必须要强化政府政策引导,建立发展产业集群,发挥区域优势,才能优化R&D资源配置,缩小行业间和区域间的差距。

关 键 词:规上制造业企业    R&D  投入产出效率    DEA模型

Analysis on R&D Input-Output Efficiency of Manufacturing Enterprises Above Designated Size in Anhui Province
Abstract:The manufacturing enterprises above designated siz are the main components of industrial enterprises, and the manufacturing enterprises above designated size are the main body of social innovation. So we need to understand the R&D input-output efficiency for the manufacturing enterprises above designated size, and find an effective way to improve its efficiency. The DEA model was used to quantitatively evaluate the R&D input-output efficiency in 31 industries and 16 regions in Anhui Province. The study analysis found, R&D input-output efficiency is higher for most manufacturing enterprises above designated size in Anhui Province, but there are still phenomenon of R&D inputs wasteful and R&D output shortage in some industries. In addition, there are unbalanced R&D resource allocation in different regions of Anhui Province. Therefore, we must strengthen the government policy guidance, establish and develop the industrial clusters, play a regional advantage, and in order to optimize the R&D resource allocation, narrow the gap between industries and regions.
Keywords:manufacturing enterprises above designated size  R&D  input-output efficiency  DEA model
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