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作 者:覃成林[1] 樊双涛 QIN Chenglin;FAN Shuangtao(School of Economics,Jinan University,Guangzhou 510632,China)
出 处:《经济与管理评论》2024年第6期5-17,共13页Review of Economy and Management
基 金:国家社会科学基金重大项目“区域经济多极网络空间组织研究”(19ZDA055)。
摘 要:多极网络空间组织是有待深入研究的区域经济空间组织新现象。基于2009年、2014年和2019年粤港澳大湾区城市间高铁频次数据,运用多极网络空间组织识别方法,从空间经济网络、多增长极共存、空间经济网络与多增长极共生关系三个方面分析了粤港澳大湾区多极网络空间组织的演化特征,并采用QAP方法从择优连接、多维邻近和路径依赖三个视角对粤港澳大湾区多极网络空间组织演化的影响因素进行了分析。研究发现,粤港澳大湾区初步形成了多极网络空间发展格局,具体表现为空间经济网络规模不断扩大,网络密度日益提高,且形成了广州、深圳、香港地区三个增长极和东莞、佛山两个潜在增长极。多增长极和空间经济网络间的共生模式为正向非对称互惠共生,且空间经济网络对多增长极的促进作用逐渐变大,多增长极对空间经济网络的促进作用逐渐变小。粤港澳大湾区多极网络空间组织演化是择优连接、多维邻近和路径依赖共同作用的过程。增长极择优、地理邻近、制度邻近及历史路径对粤港澳大湾区多极网络空间组织演化具有显著影响。Multi-polar cyberspace organization is a new phenomenon of regional economic spatial organization to be studied in depth.Based on the high-speed rail frequency data among cities in the Guangdong,Hong Kong region and Macao region Greater Bay Area in 2009,2014 and 2019,the evolutionary characteristics of the multi-pole network spatial organization in the Guangdong,Hong Kong region and Macao region Greater Bay Area are analyzed from three aspects of the spatial economic network,the coexistence of multi-growth poles,and the symbiotic relationship between the spatial economic network and multi-growth poles by applying the multi-pole network spatial organization identification method,and the QAP method is used to analyze the influencing factors of the multi-pole network spatial organization in the Guangdong,Hong Kong and Macao Greater Bay Area from three perspectives of the meritocratic connectivity,the multi-dimensional proximity,and path dependence.It is found that the Guangdong,Hong Kong region and Macao region Greater Bay Area has initially formed a multi-pole cyberspace development pattern,which is manifested by the increasing scale and density of spatial economic networks,and the formation of three growth poles in Guangzhou,Shenzhen and Hong Kong region,and two potential growth poles in Dongguan and Foshan.The symbiosis pattern between multi-growth poles and spatial economic network is positive asymmetric reciprocal symbiosis,and the promotion effect of spatial economic network on multi-growth poles gradually becomes bigger,and the promotion effect of multi-growth poles on spatial economic network gradually becomes smaller.The evolution of the spatial organization of multi-pole network in Guangdong,Hong Kong region and Macao region Greater Bay Area is a process of optimal connection,multi-dimensional proximity and path dependence.Growth pole optimization,geographic proximity,institutional proximity and historical paths have a significant impact on the spatial organization of multi-pole networks in the Guangdong-H
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