| 粤港澳大湾区科技创新能力空间结构演变与影响因素探究 |
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| 引用本文： | 王盟迪.粤港澳大湾区科技创新能力空间结构演变与影响因素探究[J].科技管理研究,2019,39(18). |
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| 作者姓名： | 王盟迪 |
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| 作者单位： | 兰州财经大学国际经济与贸易学院,甘肃兰州,730020 |
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| 基金项目： | 国家社会科学基金项目“全球化视角下我国区域创新系统的演化机制研究”(15BGL208) |
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| 摘 要： | 粤港澳大湾区已经成为我国创新驱动发展的桥头堡,助力我国加快提高科技创新能力。本文选取粤港澳大湾区“9+2”城市历年科技创新能力相关数据构建成面板数据集。为了能够进一步分析湾区区域间的科技创新能力差异,将湾区划分成西湾、中湾、东湾和港澳湾。基于空间差异、空间自相关以及空间计量的分析理论与方法,借助GeoDa、ArcGIS和Stata数据分析软件,深层次地探究粤港澳大湾区科技创新能力的空间结构演变及其影响因素。
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| 关 键 词： | 粤港澳大湾区 科技创新能力 空间差异 空间自相关 创新协同 |
| 收稿时间： | 2018/10/26 0:00:00 |
| 修稿时间： | 2019/1/14 0:00:00 |
Research on spatial structure evolution and influencing factors of technological innovation ability in Guangdong-Hong Kong-Macao Greater Bay Area |
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| Abstract: | the Guangdong-Hong Kong-Macao Greater Bay Area has become the bridgehead of China"s innovation-driven development, helping China speed up the improvement of scientific and technological innovation capacity. This paper selects data related to the technological innovation capacity of "9+2" cities in the guangdong-hong kong-macao greater bay area over the years to build a panel data set. In order to further analyze the differences in scientific and technological innovation capability among bay area regions, the bay area is divided into West bay, Central bay, East bay and Hong Kong and Macao bay. Based on the analysis theories and methods of spatial difference, spatial autocorrelation and spatial measurement, and with the help of GeoDa, ArcGIS and Stata data analysis software, the spatial structure evolution and its influencing factors of the scientific and technological innovation capacity of guangdong-hong kong-macao greater bay area were deeply studied. |
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| Keywords: | Guangdong-hong Kong-macao Greater Bay Area Scientific and technological innovation ability Spatial differences Spatial autocorrelation Innovation synergy |
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