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广东省服务业空间联系与城镇化空间拟合 被引量:11

The Space Fitting between Spatial Links of Services with Spatial Distribution of Urbanization in Guangdong Province
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摘要 根据2001、2005、2009、2013年广东省21个地级市服务业发展数据,基于改进的空间引力模型,构建服务业外向功能量、城市流强度、服务业空间联系量、接受辐射水平、服务业发展潜力等指标,综合考察广东省市级服务业集聚水平、服务业质量、空间联系与空间结构的时空演化过程。通过比对发现,广东省市级服务业发展潜力、城市流强度与空间联系强弱在空间上存在显著的耦合关系,且空间联系的紧密程度对地区服务业空间结构的时空演化有显著推动作用,随着空间联系的逐步增强,广东省服务业空间结构的复杂程度也在逐步提高,由期初的"行政—特区"双核结构逐步演化为"多核"并最终过渡到复杂的网络结构。研究发现,服务业集聚水平、服务业空间联系与城镇化水平在区域分布上实现完美的空间拟合,都主要集中分布于珠三角城市区域。这表明服务业集聚水平与服务业空间联系程度是城镇化发展的重要驱动因素,服务业集聚程度的提高以及服务业空间联系的加深有助于加速推动区域间人口、信息、资本等资源要素的流通,主导并推动地区城镇化进程向前发展。 An improved spatial gravity model has been used and indicators, namely, services ex-functional capacity, the urban flow, spatial connection level, receive radiation level, potential development capacity and etc. have been created, based on the Services' data of 21 prefecture-level city from year 2001, 2005, 2009, 2013 in Guangdong province, to discover municipal Services' agglomeration level, "quality", spatial links and space-time evolution process of spatial framework. Municipal Services' spatial connection diagrams have been made based on the regional spatial connection level, and with comparison a significant coupling relationship has been proved among potential development capacity, urban flow and spatial links, and the tightness of spatial connection of regional service industry does play a significant role in promoting the space-time evolution of Services' spatial structure, which means with Services' spatial links turning gradually closer, the spatial structure of Services displays more complexity, transforming from original two-core structure to multi-core structure, and lastly being stable at complex network structure, regional services integration framework begins to emerge. Moreover, according to data of potential development capacity, agglomeration level and level of urbanization from the four time section, a corresponding spatial distribution figure has been drawn by R-language to explore their relationship in spatial fitting. It shows that they are perfectly fitting in spatial distribution, and all of them concentrate their distribution in the Pearl River Delta region, which indicates that potential development capacity, agglomeration level are the two significant driving factors of the development of urbanization, and agglomeration level improving and lingks going closer always make contributions to an accelerated circulation of regional population, information, capital and other resources, which lead and push forward the performance of regional urbanization.
作者 黄大为
出处 《经济地理》 CSSCI CSCD 北大核心 2017年第7期114-123,共10页 Economic Geography
基金 国家社会科学基金项目(13BJY050) 广东省学科共建项目(GD12XYJ23 GD14YJ08)
关键词 改进空间引力模型 服务业空间联系 服务业集聚 城镇化 空间拟合 improved spatial gravity model spatial links of services services agglomeration urbanization spatial fitting
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