京津冀城市群科技资源配置效率研究——基于DEA-Malmquist指数模型分析
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中国城市建设研究院有限公司

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G311

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国家重点研发计划 (2017YFB1401500)


Research on the Efficiency of Science and Technology Resource Allocation in BTHUA——Analysis based on DEA-Malmquist index model
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    摘要:

    本文从科技资源配置的规模、分布特点和结构特征分析目前京津冀科技资源配置的基本特性,基于三地及全域2011-2018年有关面板数据建立数据包络分析DEA-Malmquist指数模型,从多投入多产出角度评估其科技资源配置效率。分析结果表明:研究期间京津冀科技资源配置效率总体呈上升趋势,均是由于技术进步率显著增加,其中北京与天津的快速增长源于拥有先进的技术设备、丰富的设施和机构以及完备的管理经验,而河北的增长是由于大量规上工业企业等机构在本地区发生快速融合与迁移;但京津冀更倾向于自主研发能力培养而对创新管理技术积累和改善不足,无法满足其创新需求;2016-2017年间北京全要素生产率的增长率低至?7.8%且技术进步率仅为0.922,直接导致京津冀全要素生产增长率达到最低的6.8%。基于研究结论,从优化布局、统筹协作,完善产业链、提升管理水平和加强管理、健全机制等方面提出促进京津冀科技资源配置效率提升的对策建议。

    Abstract:

    This paper analyzes the basic characteristics of the current Beijing-Tianjin-Hebei science and technology resource allocation from the scale, distribution characteristics and structural characteristics of the allocation of science and technology resources, and establishes a data envelopment analysis DEA-Malmquist index model based on the relevant panel data of the three places and the whole region from 2011 to 2018. Evaluate the efficiency of its scientific and technological resource allocation from the perspective of multiple inputs and multiple outputs. The analysis results show that during the study period, the efficiency of Beijing-Tianjin-Hebei science and technology resource allocation showed an overall upward trend, all due to the significant increase in the rate of technological progress. Among them, the rapid growth of Beijing and Tianjin stems from the possession of advanced technical equipment, abundant facilities and institutions, and complete Management experience, and Hebei’s growth is due to the rapid integration and migration of a large number of regulated industrial enterprises and other institutions in the region; but Beijing-Tianjin-Hebei is more inclined to cultivate independent research and development capabilities and lacks accumulation and improvement of innovation management technology, which cannot satisfy its innovation Demand: From 2016 to 2017, the growth rate of Beijing’s total factor productivity was as low as -7.8% and the technological progress rate was only 0.922, which directly led to the lowest total factor production growth rate of 6.8% in Beijing, Tianjin and Hebei. Based on the research conclusions, countermeasures and suggestions to promote the efficiency of the Beijing-Tianjin-Hebei scientific and technological resource allocation are proposed from the aspects of optimizing the layout, coordinating coordination, improving the industrial chain, improving the management level, strengthening management, and improving the mechanism.

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舒天楚,聂小琴,郭含文,李旭,白彬杰.京津冀城市群科技资源配置效率研究——基于DEA-Malmquist指数模型分析[J].,2021,(4).

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  • 收稿日期:2020-06-08
  • 最后修改日期:2021-03-03
  • 录用日期:2020-07-13
  • 在线发布日期: 2021-03-19
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