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| 长江中游城市群创新平台空间分布及其影响因素分析 | |
| 引用本文： | 唐承丽,郭夏爽,周国华,吴佳敏,陈伟杨.长江中游城市群创新平台空间分布及其影响因素分析[J].地理科学进展,2020,39(4):531-541. |
| 作者姓名： | 唐承丽 郭夏爽 周国华 吴佳敏 陈伟杨 |
| 作者单位： | 湖南师范大学资源与环境科学学院,长沙 410081 湖南师范大学地理空间大数据挖掘与应用湖南省重点实验室,长沙 410081 |
| 基金项目： | 国家自然科学基金项目(41371144);湖南省科技创新决策咨询暨软科学重点项目(2018ZK3007) |
| 摘 要： | 创新是引领发展的第一动力。创新平台作为区域创新体系的重要组成部分和集聚创新资源的核心支撑载体,是推动创新驱动发展的主要抓手。论文以长江中游城市群为研究区域,运用最邻近指数、核密度估计、Ripley's K函数、地理探测器等方法,探究2017年长江中游城市群省级以上创新平台的空间分布特征及其影响因素。结果表明：① 长江中游城市群创新平台整体呈现出集聚分布特征,以武汉、长沙和南昌为核心呈“品字形”的分布格局;② 基于不同等级和不同功能类型划分的各类创新平台均呈现出显著集聚的特征,但集聚强度和集聚状态存在一定差异;③ 创新平台总体和不同类型创新平台的空间集聚存在尺度效应,随地理距离的变化空间集聚趋势先增强后减弱;④ 创新平台的空间分异是多因素综合作用的结果,金融实力、信息化程度、利用外资水平、人力资本条件的影响最为显著,其次为交通可达性、城镇化水平、经济基础和创新氛围。 |
| 关 键 词： | 创新平台 空间分布 长江中游城市群 |
| 收稿时间： | 2019-09-11 |
| 修稿时间： | 2019-12-16 |
Spatial distribution and influencing factors of innovation platforms in urban agglomerations of the middle reaches of the Yangtze River Basin |
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| TANG Chengli,GUO Xiashuang,ZHOU Guohua,WU Jiamin,CHEN Weiyang.Spatial distribution and influencing factors of innovation platforms in urban agglomerations of the middle reaches of the Yangtze River Basin[J].Progress in Geography,2020,39(4):531-541. | |
| Authors: | TANG Chengli GUO Xiashuang ZHOU Guohua WU Jiamin CHEN Weiyang |
| Institution: | College of Resource and Environment Science, Hunan Normal University, Changsha 410081, China Hunan Provincial Key Laboratory of Geospatial Big Data Mining and Application, Hunan Normal University, Changsha 410081, China |
| Abstract: | Innovation is the primary driving force behind development. As an important part of the regional innovation system and the core supporting carrier for the accumulation of innovative resources, innovation platforms are the main way to promote innovation-driven development. This study took the urban agglomerations of the middle reaches of the Yangtze River Basin as the research area and used the nearest neighbor index, kernel density estimation, Ripley's K function, and geo-detector to explore the spatial distribution characteristics and influencing factors of the innovation platforms above provincial level in the urban agglomerations in 2017. The results show that: 1) The overall spatial distribution of the innovation platforms in the urban agglomerations is clustered, showing a triangular distribution pattern with Wuhan, Changsha, and Nanchang as the cores. 2) Innovation platforms of various scales and functional types exhibit significant agglomeration characteristics, but there exist certain differences in agglomeration intensity and state among them. 3) The overall innovation platforms and various types of innovation platforms show scale effect, which first strengthens and then weakens with the change of geographical distance. 4) The spatial differentiation of the innovation platforms is the result of multiple factors. Strength of financial resources, degree of informationalization, level of foreign investment, and conditions of human capital are most significant, followed by traffic accessibility, urbanization level, economic base, and innovation atmosphere. |
| Keywords: | innovation platforms spatial distribution urban agglomerations of the middle reaches of the Yangtze River Basin |
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