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中国东部沿海四大城市群协同创新效率综合测度及影响因素研究
引用本文:孙振清,李欢欢,刘保留.中国东部沿海四大城市群协同创新效率综合测度及影响因素研究[J].科技进步与对策,2021,38(2):47-55.
作者姓名:孙振清  李欢欢  刘保留
作者单位:(天津科技大学 经济与管理学院,天津 300222 )
基金项目:教育部哲学社会科学研究重大课题攻关项目;国家社会科学基金重点项目;天津市高等学校创新团队培养计划项目
摘    要:中国东部沿海城市群作为国家经济增长的核心战略区和新型城镇化的重要组成部分,促进其协同创新效率提升对实现经济高质量发展具有重要现实意义。基于2005—2018年地级市数据,以京津冀、山东半岛、长三角和珠三角城市群为研究对象,采用三阶段DEA方法测算四大城市群协同创新效率并分析其时空特征,利用Tobit回归模型分析不同城市群协同创新效率的主要影响因素,结果表明:①剔除外部环境与随机因素的影响,除山东半岛城市群外,其它三大城市群的平均综合效率值均较第一阶段下降;②外部环境因素对协同创新效率具有显著影响,区域经济水平和政府财政支持力度与协同创新效率负相关,研发支持力度、产业结构和对外开放水平与协同创新效率正相关;③协同创新效率总体呈上升趋势,但内部城市等级存在空间不平衡性;④不同城市群协同创新效率的主要影响因素也存在差异。基于上述结果,提出促进不同城市群协同创新发展的相关建议。

关 键 词:东部沿海城市群  协同创新效率  区域经济  三阶段DEA  
收稿时间:2020-10-11

Research on Comprehensive Measurement and Influencing Factors of Collaborative Innovation Efficiency of China's Four Urban Clusters
Sun Zhenqing,Li Huanhuan,Liu Baoliu.Research on Comprehensive Measurement and Influencing Factors of Collaborative Innovation Efficiency of China's Four Urban Clusters[J].Science & Technology Progress and Policy,2021,38(2):47-55.
Authors:Sun Zhenqing  Li Huanhuan  Liu Baoliu
Institution:(School of Economics and Management, Tianjin University of Science and Technology,Tianjin 300222,China)
Abstract:As the central strategic area of the country's economic growth and an important part of the new urbanization, the coastal urban agglomerations in eastern China have important practical significance for achieving high-quality economic development. Based on the 2005-2017 prefecture-level city data, taking the Beijing-Tianjin-Hebei, Shandong Peninsula, Yangtze River Delta and Pearl River Delta urban agglomerations as the research objects, the three-stage DEA method is used to measure the efficiency of collaborative innovation of the four urban agglomerations and analyze their temporal and spatial characteristics, using Tobit The regression model analyzes the main factors that affect the efficiency of collaborative innovation in different urban agglomerations, and the results show that:①excluding the influence of external environment and random factors, the average comprehensive efficiency of the other three urban agglomerations is higher than that of the first stage Decrease;②external environmental factors have a significant impact on the efficiency of collaborative innovation. Regional economic levels and government financial support are negatively related to the efficiency of collaborative innovation; R&D support, industrial structure, and opening to the outside world are positively related to the efficiency of collaborative innovation;③the efficiency of collaborative innovation is generally on the rise, but there is a spatial imbalance in the internal city hierarchy;④there are also differences in the main factors that affect the efficiency of collaborative innovation in different urban agglomerations. Based on the above results, it aims to put forward suggestions to promote the collaborative innovation development of different urban agglomerations.
Keywords:Eastern Coastal City Cluster  Efficiency of Collaborative Innovation  Regional Economic  Three-Stage Dea  
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