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长江经济带人才创新效率评价及空间特征研究——基于创新驱动视角 被引量:2

Evaluation of Talent Innovation Efficiency and Spatial Characteristics of the Yangtze River Economic Belt:Based on Innovation‑driven Perspective
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摘要 创新驱动的实质是人才驱动。本文基于我国创新驱动发展的时代背景,以长江经济带人才创新效率为研究对象,首先运用PCA-SDEA模型对2009-2018年间长江经济带人才创新效率进行测算,进一步根据测算结果,运用空间收敛模型和空间重心模型对长江经济带人才创新效率的空间特征进行分析。研究结果表明:长江经济带省际之间与地区之间人才创新效率差距较大,上海、浙江和江苏等省市领先于四川、云南等省市,长三角地区领先于中三角和泛成渝地区;长江经济带人才创新效率差距无明显收敛趋势,且落后地区对先发地区的追赶效应尚不明显;长江经济带人才创新效率的重心位于湖南省岳阳市附近,其空间分布格局呈东偏北-西偏南的方向特征,并有向北分散、向西极化的趋势。 The essence of innovation-driven is talent-driven.Based on the era of China’s innovation-driven development,this paper takes the innovation efficiency of talents in the Yangtze River Economic Belt as the research object.PCA-SDEA model is used to measure the innovation efficiency of talents in the Yangtze River Economic Belt from 2009 to 2018.Based on the calculation results,spatial convergence model,and spatial center of gravity model are used to analyze the spatial characteristics of talent innovation efficiency in the Yangtze River Economic Belt.The results show that there is a large gap in talent innovation efficiency between provinces and regions in the Yangtze River Economic Belt.Shanghai,Zhejiang,and Jiangsu provinces are ahead of Sichuan,Yunnan,and other provinces and cities.The innovation efficiency gap of talents in the Yangtze River Economic Belt has no obvious convergence trend,and the catch-up effect of backward regions in the starting areas is not obvious.The focus of talent innovation efficiency in the Yangtze River Economic Belt is near Yueyang City,Hunan Province,and the spatial distribution pattern is characterized by north-south-west-south trend,and tends to diverge northward and polarize westward.
作者 傅为忠 李小娟 Fu Weizhong;Li Xiaojuan(School of Management,Hefei University of Technology,Hefei 230009,China)
出处 《技术经济》 CSSCI 北大核心 2020年第7期89-98,共10页 Journal of Technology Economics
基金 安徽省住房和城乡建设厅社科类项目“结合住房租赁市场建设加强公共租赁住房保障的课题研究”(JS2018QTXM0190) 安徽省发展和改革委员会社科类项目“开发区‘多评合一’制度及平台建设”(JS2018AFKJ0182)。
关键词 创新驱动 PCA‐SDEA模型 长江经济带 人才创新效率 空间特征 innovation-driven PCA-SDEA model Yangtze River Economic Belt talent innovation efficiency spatial characteristics
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