| 基于DEA方法的城市科技创新资本效率实证分析 |
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| 引用本文： | 邱奇,郭佳欢.基于DEA方法的城市科技创新资本效率实证分析[J].长安大学学报(社会科学版),2020,0(1):83-92. |
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| 作者姓名： | 邱奇 郭佳欢 |
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| 作者单位： | 北京交通大学 经济管理学院，北京 100044 |
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| 摘 要： | 为合理配置各地区的科技创新资本以及提升科技资本的效率，对城市科技创新资本的投入及产出效率方面的问题进行研究。选取中国11座区域中心城市作为评价对象，建立了以R&D投入经费支出和技术引进消化吸收为投入指标；以国内专利申请量、授权量及有效量为产出指标的指标体系；选取DEA效率评价模型作为主要研究手段，测度了2017年各城市科技创新资本投入产出资本效率，对结果进行综合分析及投影分析，对科技创新资本效率进行了实证评价。研究认为，区域中心城市的科技投入总量是不断增长的，但城市间科技创新投入产出差距显著；成都、西安和深圳处于DEA有效状态；重庆、北京、天津、上海、广州、武汉，南京及沈阳处于DEA严重无效的状态，无效原因包括科技创新资本投入未得到充分的利用，以及科技成果转化效率的低下等；应加强对先进技术和人才的引进，充分发挥企业的创新主体作用，增加科技创新资本的投入并优化配置，提升城市创新能力和资本竞争力等，实现城市间资源共享、优势互补的双赢战略政策。
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| 关 键 词： | 科技创新 资本效率 DEA效率评价模型 区域中心城市 投入产出 资本竞争力 共享 |
Empirical analysis of urban science and technology innovation capital efficiency based on DEA method |
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| QIU Qi,GUO Jiahuan.Empirical analysis of urban science and technology innovation capital efficiency based on DEA method[J].Journal of Chang'an University(Social Sciences Edition),2020,0(1):83-92. |
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| Authors: | QIU Qi GUO Jiahuan |
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| Affiliation: | School of Economics and Management, Beijing Jiaotong University, Beijing 100044， China |
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| Abstract: | In order to distribute and allocate the science and technology innovation capital in various regions in a rational manner and improve the efficiency of science and technology capital, as well as study the issues in the input and output efficiency of urban science and technology innovation capital, this paper selects 11 regional central cities in China as the evaluation objects, and establishes an index system that takes R&D investment expenditure and technology introduction, digestion and absorption as input indicators, domestic patent applications, grants, and effective quantities as output indicators. The DEA efficiency evaluation model is adopted as the main research method in this paper, and the efficiency of science and technology innovation capital input and output capital in each city in 2017 is measured. The results are comprehensively analyzed and projected, while an empirical evaluation is conducted on the science and technology innovation capital efficiency. The study indicates that the total amount of science and technology input in the regional central cities is continuously increasing, but the gap in the input and output of science and technology innovation between cities is significant. Evaluation results show that Chengdu, Xi’an and Shenzhen are valid in the DEA method, while Chongqing, Beijing, Tianjin, Shanghai, Guangzhou, Wuhan, Nanjing and Shenyang are severely invalid in the DEA method. The reasons for invalidity include the insufficient use of capital input of science and technology innovation, and the low efficiency in the transformation of scientific and technological achievements, etc. The cities should increase the introduction of advanced technology and talents, give full play to the enterprises’ capabilities as the subject of innovation, enhance the science and technology innovation capital input and optimize the allocation of capital, strengthen the innovative capabilities and capital competitiveness of cities, and aim to implement a win win strategic policy of resource sharing and complementary advantages among cities. |
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| Keywords: | technology innovation capital efficiency DEA efficiency evaluation model regional central city input and output capital competitiveness sharing |
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