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首页> 外文期刊>Mathematical Problems in Engineering >Innovation Efficiency of China's High-End Manufacturing Industry: Evidence from Super-SBM Model and Malmquist Index
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Innovation Efficiency of China's High-End Manufacturing Industry: Evidence from Super-SBM Model and Malmquist Index

机译：中国高端制造业的创新效率：超级SBM模型和Malmquist指数的证据

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摘要

Technological innovation is an important engine to support the development of China from a big manufacturing country to a powerful manufacturing country. With the support of government policies, China's high-end manufacturing industry urgently needs to solve the problems of insufficient technological innovation and weak core competitiveness. This paper uses the super-SBM model to measure the impact of incentive policies related to high-end manufacturing industry on innovation efficiency of China's high-end manufacturing industry in 2012-2017. The DEA Malmquist model is used to analyse the dynamic change trend of efficiency. The results show that the innovation efficiency of China's high-end manufacturing industry shows a trend of gradual optimization, stepping into the middle and high-end levels, but there are large differences in innovation efficiency among industries, and the optimization process is not stable; at the same time, China's high-end industry is not stable. Manufacturing industry needs to improve its pure technical efficiency as soon as possible and solve the problems of low efficiency of system and management level. Accordingly, this paper puts forward a series of policy suggestions, such as increasing financial and talent support, encouraging technological innovation, and promoting industrial synergy.
机译：技术创新是一种重要的引擎，支持中国从大型制造国到一个强大的制造国。随着政府政策的支持，中国的高端制造业迫切需要解决技术创新不足和核心竞争力较弱的问题。本文采用超级SBM模型来衡量与高端制造业有关的激励政策对2012 - 2017年中国高端制造业创新效率的影响。 DEA MalmQuist模型用于分析效率的动态变化趋势。结果表明，中国高端制造业的创新效率表明了逐步优化的趋势，进入中高端水平，但行业之间的创新效率存在巨大差异，优化过程不稳定;与此同时，中国的高端行业不稳定。制造业需要尽快提高其纯粹技术效率，解决系统和管理水平效率低的问题。因此，本文提出了一系列政策建议，如增加财政和人才支持，鼓励技术创新，促进工业协同作用。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第24期|6329746.1-6329746.15|共15页
  • 作者

    Li Qiaochu; Liu TingLi;

  • 作者单位

    Beijing Univ Technol Coll Econ & Management Beijing 100124 Peoples R China;

    Beijing Univ Technol Coll Econ & Management Beijing 100124 Peoples R China;

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