長(zhǎng)江中游城市群社團(tuán)結(jié)構(gòu)演化及其鄰近機(jī)制——基于生產(chǎn)性服務(wù)企業(yè)網(wǎng)絡(luò)分析

摘要： 刻畫長(zhǎng)江中游城市群空間結(jié)構(gòu)演化特征,通過(guò)QAP分析定量揭示其影響機(jī)制。結(jié)果顯示:長(zhǎng)江中游城市群存在3個(gè)分別以武漢、長(zhǎng)沙和南昌為核心、以省界為界限的城市社團(tuán),社團(tuán)結(jié)構(gòu)存在顯著的異質(zhì)性特征。城市群層面上,地理鄰近、文化鄰近和行政鄰近均對(duì)城市群社團(tuán)結(jié)構(gòu)產(chǎn)生顯著影響,行政鄰近中的省級(jí)行政鄰近影響最大;交流技術(shù)進(jìn)步、金融資源集聚與擴(kuò)散對(duì)社團(tuán)內(nèi)外聯(lián)系也產(chǎn)生顯著影響。分析社團(tuán)層面,發(fā)現(xiàn)此時(shí)地理鄰近在各社團(tuán)內(nèi)部結(jié)網(wǎng)互動(dòng)中起決定性作用,且不同影響因素在3個(gè)社團(tuán)中的影響效應(yīng)存在一定的差異性。
Community structure, as an emerging research field of network science, is very critical for us to cognize the spatial structure of city clusters more deeply. So far, however, previous work has failed to examine the spatial structure of the urban system in terms of its community structure systematically. To rectify this situation and provide new research approach, this article uses community detection algorithm to reveal the evolving features of community structure of city clusters in middle reach of the Yangtze River(MRYR) at county scale,based on 2000, 2007 and 2014 producer services firms' database of city clusters in MRYR. Furthermore, this article introduces the Quadratic Assignment Procedure(QAP) to uncover the proximity mechanism and other influencing factors. The main conclusions are as follows: According to the results of network modularity and PageRank, city clusters in MRYR could be divided into three city communities, including Wuhan community,Changsha community and Nanchang community, and community structure has significant heterogeneity, which reflects in the inequality of both intra and inter communities. At city clusters' level, geographical proximity, cultural proximity and administrative proximity have dramatic effects on community structure of city clusters in MRYR, but provincial administrative proximity causes dominant effects. Additionally, progress in communications technology and financial resources of the clustering and diffusion spur on connections intra and inter communities of city clusters in MRYR. Once inside communities' level, geographical proximity plays a key role in the process of cities' interacting within city community. Moreover, some influencing factors have different effects on different city communities, which provides us some beneficial policy enlightenments.