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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的中国战略性新兴产业技术创新效率研究:NDEA模型与大数据

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摘要

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:大数据具有规模大、品种多、生成速度快、价值极高但密度低等特点,可用于挖掘有效信息,为用户提供辅助决策,实现自身价值。本文基于非定向SBM和网络DEA模型,系统客观地评价了2002—2013年中国各省份战略性新兴产业的技术创新效率。该研究发现了以下几点。(1)我国战略性新兴产业整体技术效率低。综合效率平均值为0.278;在26个省份中,只有8个省份高于平均水平。(2)全国及大部分省份战略性新兴产业科技成果商业化阶段效率高于知识创新阶段。知识创新阶段效率低下,制约了我国战略性新兴产业的增效提升。(3)2002—2013年战略性新兴产业整体创新效率不断提高。相比之下,纯技术效率的增长速度大于规模效率的增长速度。(4)东部地区整体效率、知识创新阶段效率、科技成果商业化阶段效率均高于中西部地区。

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