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作 者:林克涛 邓惺炜 林敏玲 叶颉 LIN Ketao;DENG Xingwei;LIN Minling;YE Jie(Laboratory of Regional Development Analysis and Simulation,College of Resource and Environment Sciences,Quanzhou Normal University,Quanzhou 362000,China;College of Business,Quanzhou Normal University,Quanzhou 362000,China;College of Digital Economy,Fujian Agriculture and Forestry University,Quanzhou 362406,China)
机构地区:[1]泉州师范学院资源与环境科学学院区域发展分析与模拟实验室,福建泉州362000 [2]泉州师范学院商学院,福建泉州362000 [3]福建农林大学数字经济学院,福建泉州362406
出 处:《地域研究与开发》2024年第6期38-45,共8页Areal Research and Development
基 金:福建省社会科学规划项目(FJ2022C096);福建省自然科学基金项目(2021J05184);教育部人文社会科学研究青年基金项目(21YJCZH006)。
摘 要:以福建省64个县域单元为研究对象,综合运用社会网络分析方法、QAP分析方法与GIS空间分析方法剖析2013—2019年福建省县域经济联系网络结构演进特征及其影响因素。结果表明:(1)2013—2019年福建省县域经济联系强度逐年提高,但空间不平衡性持续存在,网络格局演进中表现出显著的“马太效应”,形成明显的三核心结构。(2)闽东沿海的厦漳泉都市圈与福州都市圈中心性地位显著,其次是以三明市区为主的闽中核心区。福州市区、三明市区、厦门市区、龙岩市区在各自大片区中的中介作用突出。(3)行政隶属、文化隶属、资源集聚和要素流通4个因素对县域经济联系网络具有显著的正向影响,其中行政与文化因素的影响力日益减弱,海拔高程与交通距离两个因素呈现显著负向影响,交通因素的影响力日益增强。Taking 64 units of county level in Fujian Province as research objects,this paper comprehensively used social network analysis method,QAP analysis method and GIS spatial analysis to explore the evolution characteristics and influencing factors of county level economic link network structure in Fujian Province from 2013 to 2019.The findings indicate that:(1)From 2013 to 2019,the intensity of county level economic links in Fujian Province increases year by year,but the spatial imbalance is persistent.The network pattern evolution showed a significant“Matthew effect”and formed an obvious three-core structure.(2)The centrality of Xiamen,Zhangzhou and Quanzhou metropolitan circle and Fuzhou metropolitan circle along the east coast of Fujian is significant,followed by the central Fujian region represented by Sanming urban area.Fuzhou urban area,Sanming urban area,Xiamen urban area and Longyan urban area play an important intermediary role in their respective large areas.(3)The four factors of administrative affiliation,cultural affiliation,resource agglomeration and factor circulation have significant positive effects on the county level economic link network,among which the influence of administrative and cultural factors is weakening.The two factors of elevation and traffic distance have a significant negative influence,and the influence of traffic factor is increasing.
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