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我国区域R&D投入绩效评价研究——基于关联网络DEA模型 被引量:12

The Research on Performance Evaluation of Regional R&D Input in China: Based on Relational Network DEA Model
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摘要 根据区域R&D活动过程的复杂性,将区域R&D活动过程分解为科技研发过程和经济转化过程,运用规模报酬不变的关联网络DEA模型,对我国区域R&D投入绩效进行了较全面的评价。结果表明:我国区域R&D投入的整体效率和两个子过程效率普遍偏低,存在明显的区域差异;经济转化过程效率低下是导致我国区域R&D投入绩效偏低的主要原因,且大部分地区表现为两过程效率的一高一低或双重低效。 According to the complexity of regional R&D activities, regional R&D activities are broken down into scientific R&D and economic transformation in this paper, with a relational network DEA model under the assumption of CRS, the China's regional R&D input performance is evaluated comprehensively. The results indicate that the effieiencies of regional R&D input in China are generally low, including the overall ists significant regional differences. The main reason for the efficiency and the efficiencies of two sub-processes, there ex- low efficiency of the China's regional R&D input performance is that the economic transformation process is inefficient, and the efficiencies of two sub-processes of most regions show one high & one low or double inefficient.
作者 尹伟华 袁卫
出处 《科技进步与对策》 CSSCI 北大核心 2012年第23期123-127,共5页 Science & Technology Progress and Policy
基金 中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目(12XNH157)
关键词 R&D活动 R&D投入 绩效评价 关联网络DEA R&D Activities R&D Input Performance Evaluation Relational Network DEA
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