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Research on the Technological Innovation Efficiency of China’s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data

机译:基于SBM的中国战略新兴产业技术创新效率研究:NDEA模型和​​大数据

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Characterized by large scale, variety, fast generation, and extremely high value but low density, big data can be used to mine effective information, provide users with auxiliary decision-making, and realize its own value. Based on the nonoriented SBM and the network DEA model, this paper systematically and objectively evaluates the technological innovation efficiency of strategic emerging industries in all provinces of China in 2002–2013. The study found the following. (1) The overall technological efficiency of China’s strategic emerging industries is low. The average of comprehensive efficiency is 0.278; of 26 provinces, only 8 are above the average level. (2) The efficiency in the commercialization stage of scientific and technological achievements of strategic emerging industries in the whole country and most of the provinces is higher than that in the stage of knowledge innovation. The inefficiency of the knowledge innovation stage restricts the efficiency promotion of China’s strategic emerging industries. (3) The overall innovation efficiency of strategic emerging industries has been increasing from 2002 to 2013. In comparison, the growth rate of pure technical efficiency is larger than that of scale efficiency. (4) The overall efficiency, the efficiency in the knowledge innovation stage, and the efficiency in the commercialization stage of scientific and technological achievements of the eastern region are higher than those of the central and western regions.
机译:以大规模,品种,快速的速度和极高的价值为特征,但低密度,大数据可用于挖掘有效信息,为用户提供辅助决策,并实现自己的价值。基于非值为的SBM和网络DEA模型,本文系统地概述了2002 - 2013年各省战略新兴产业的技术创新效率。该研究发现以下内容。 (1)中国战略新兴产业的整体技术效率低。综合效率的平均值为0.278;在26个省份,只有8个高于平均水平。 (2)全国战略新兴产业的科技成果商业化阶段的效率高于知识创新阶段的阶段。知识创新阶段的低效率限制了中国战略新兴产业的效率促进。 (3)战略新兴产业的整体创新效率从2002年到2013年增加。相比之下,纯技术效率的增长率大于规模效率。 (4)整体效率,知识创新阶段的效率,以及东部地区科技成果的商业化阶段的效率高于中西部地区。

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