| 京津冀城市群科技资源配置效率分析——基于DEA-Malmquist指数模型 |
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| 引用本文： | 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分析——基于DEA-Malmquist指数模型[J].科技管理研究,2021,41(4):89-96. |
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| 作者姓名： | 舒天楚 聂小琴 郭含文 李旭 白彬杰 |
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| 作者单位： | 中国城市建设研究院有限公司,北京 100120;中国城市建设研究院有限公司,北京 100120;清华大学环境学院,北京 100084 |
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| 基金项目： | 国家重点研发计划项目“京津冀协同创新区综合科技服务平台研发与应用示范” |
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| 摘 要： | 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其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。
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| 关 键 词： | 科技资源 京津冀城市群 资源配置效率 DEA-Malmquist评价模型 |
Analysis on the Efficiency of Scientific and Technological Resource Allocation in Beijing-Tianjin-Hebei Urban Agglomeration: Based on DEA-Malmquist Index Model |
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| Shu Tianchu,Nie Xiaoqin,Guo Hanwen,Li Xu,Bai Binjie.Analysis on the Efficiency of Scientific and Technological Resource Allocation in Beijing-Tianjin-Hebei Urban Agglomeration: Based on DEA-Malmquist Index Model[J].Science and Technology Management Research,2021,41(4):89-96. |
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| Authors: | Shu Tianchu Nie Xiaoqin Guo Hanwen Li Xu Bai Binjie |
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| Institution: | (China Urban Construction Design&Research Institute Co.Ltd.,Beijing 100120,China;School of Environment,Tsinghua University,Beijing 100084,China) |
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| Abstract: | Based on the scale,distribution and structure of scientific and technological resources allocation,this paper analyzes the basic characteristics of scientific and technological resources allocation in Beijing-Tianjin-Hebei,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,evaluates its scientific and technological resource allocation efficiency from the perspective of multiple inputs and multiple outputs.The results show that during the study period,the efficiency of Beijing-Tianjin-Hebei scientific and technological resources allocation shows 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,while Hubei’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;in addition,from 2016 to 2017 the growth rate of Beijing’s total factor productivity is as low as-7.8%and the technological progress rate is only 0.922,which directly led to the lowest total factor production growth rate of 6.8%in Beijing-Tianjin-Hebei.Based on the conclusions,the paper proposes some countermeasures and suggestions to promote the efficiency of Beijing-Tianjin-Hebei scientific and technological resource allocation 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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| Keywords: | scientific and technological resources Beijing-Tianjin-Hebei urban agglomeration resource allocation efficiency DEA-Malmquist evaluation model |
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