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中原经济区经济联系网络空间格局
Spatial pattern of economic linkage network in Central Plains Economic Zone

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文摘 以中原经济区县级行政单元为网络节点,利用重力模型测算1996年、2010年231个节点间的经济联系强度,分别取各个节点对外联系强度第1位、前5位、前10位的连接建立经济联系网络,运用GIS工具和社会网络分析方法分析网络的空间格局与演化特征。研究发现:①中原经济区经济联系网络发育不平衡,节点度分布呈明显的右倾“斜长尾分布”特征,少数节点掌握着绝对的“网络权力”,郑州市为整个网络的首位核心,洛阳市、邯郸市为副中心;网络中部、北部节点间连通情况相对较好,而东、南两个方向上节点连通能力亟需提升。②核心、边缘节点网络权力差距进一步扩大,2010年节点度值基尼系数和集中度指数比1996年均有明显提高,边缘区节点连通能力不足且进一步弱化,不利于中原经济区同毗邻地区的互动发展。③网络呈现多重轴—辐结构,郑州市为一级枢纽,洛阳市、邯郸市、漯河市等为二级枢纽;中原经济区正在建设的“十”字形发展轴和“米”字形发展带,有助于巩固一、二级枢纽间的经济联系,并使整个经济区实现优势互补、联动发展。④网络中的“掮客”节点主要位于中原城市群板块中,因此中原城市群发展对提高网络整体连通能力有很大作用。
其他语种文摘 The Central Plains Economic Zone is an important engine of the central plains rising strategy, and it is also the strategy fulcrum of the regional coordinated development. Building a scientific and reasonable regional economic relation network is an important part of the construction of the Central Plains Economic Zone. This paper takes the CentralPlainseconomiczone as astudy area and its counties as the network nodes. The economic relation intensity among 231 nodes in 1996 and 2010 are calculated based on the gravity model. The regional quantity in the model is represented by the geometrical mean of GDP and population of the nodes. The GDP of 2010 have been deflated to the price level of 1996. The distance coefficient is represented by the shortest journey time by highway between the cities. Economic linkage network has been built in terms of the first, top5 and top10 in connecting intensity of each nodes, using the tools of GIS and method of Social Network Analysis to analyze the spatial pattern and evolutional characteristics of the network, and the analysis is mainly based on the concept of degree, degree distribution, clustering coefficient and betweenness centrality, etc. The results show that: (1) The CentralPlainseconomiczone has an unbalanced economic linkage network, and the distribution of the node degree exhibit an obvious rightward "inclined long-tailed distributions". The number of nodes with degree less than or equal to the median accounts for more than 85% of the total number of nodes, and a small number of nodes hold the absolute network power. Zhengzhou is the center of the network, while Luoyang and Handan are the sub-centers. The connectivity of the central and northern nodes is relatively strong, while measures should be taken to increase the connectivity of the eastern and southern nodes. (2) The network power gap between the central and marginal nodes is further widening, and the Gini coefficient and concentration ratios (CR1,CR5,CR10) of the node degree have increased significantly from 1996 to 2010.Thenetworkpowerofthecorenodesfurther increases, whilethe connectingabilityofthemarginalnodesdeclinesgradually. Theunbalancednetworkdevelopment is more pronounced,and this will restrain the interactional development between the CentralPlainsEconomicZone and its adjacent regions.(3) The network has a multiple hub-and-spoke structure. The correlation between the node degree and clustering coefficient is significantly negative. This proves that the nodes with high degree are the main connection objects of the adjacent nodes, while there are fewer mutual connections between the peripheral nodes. With the high degree nodes as the core, the network formed several sub-networks with hub-and-spoke structure of different levels. Zhengzhou is the primary hub, and plays as the core leading role for the entire economic zone, while Luoyang, Handan and Luohe are the secondary hubs, mainly playing the roles of leading and radiating for the surrounding cities and counties. The construction of the cross-shape development axis and“米”glyph development zone will strengthen the economic linkage between the primary hub and the secondary hub, it will also help the entire region to realize the advantageous complementarities and linkage development. (4) The broker nodes play an important intermediary role in the network connectivity, and the betweenness centrality is not only closely related to the node degree, but also influenced by its location in the network. The broker nodes in the economic linkage network of the Central Plains Economic Zone are mainly located in the Central Plains City Group, so the development of the Central Plains City Group will have significant impact on improving the whole connectivity of the network.
来源 地理科学进展 ,2014,33(1):92-101 【核心库】
关键词 经济联系网络 ; 空间格局 ; 中原经济区
地址

河南大学环境与规划学院, 河南, 开封, 475004

语种 中文
文献类型 研究性论文
ISSN 1007-6301
学科 社会科学总论
基金 国家教育部人文社会科学重点研究基地基金 ;  国家自然科学基金项目 ;  河南大学科研基金
文献收藏号 CSCD:5044418

参考文献 共 29 共2页

1.  陈睿山. 区域经济联系测度方法述评. 人文地理,2013,28(1):43-47 被引 7    
2.  顾朝林. 基于重力模型的中国城市体系空间联系与层域划分. 地理研究,2008,27(1):1-12 被引 158    
3.  贺灿飞. 产业特性,区域特征与中国制造业省区集聚. 地理学报,2010,65(10):1218-1228 被引 46    
4.  金凤君. 我国航空客流网络发展及其地域系统研究. 地理研究,2001,20(1):31-39 被引 128    
5.  金凤君. 轴-辐侍服理念下的中国航空网络模式构筑. 地理研究,2005,24(5):774-784 被引 90    
6.  冷炳荣. 中国城市经济网络结构空间特征及其复杂性分析. 地理学报,2011,66(2):199-211 被引 85    
7.  李春芬. 区际联系—区域地理学的近期前沿. 地理学报,1995,50(6):491-496 被引 23    
8.  梁滨. 武汉城市圈轴-辐网络旅游空间结构研究. 经济地理,2009,29(7):1214-1217 被引 3    
9.  刘卫东. 论我国互联网的发展及其潜在空间影响. 地理研究,2002,21(3):347-356 被引 36    
10.  孟德友. 基于铁路客运网络的省际可达性及经济联系格局. 地理研究,2012,31(1):107-122 被引 53    
11.  苗长虹. 河南省城市的经济联系方向与强度——兼论中原城市群的形成与对外联系. 地理研究,2006,25(2):222-232 被引 61    
12.  谭一洺. 基于高级生产者服务业视角的成渝地区城市网络体系. 地理科学进展,2011,30(6):724-732 被引 26    
13.  汪明峰. 互联网与中国信息网络城市的崛起. 地理学报,2004,59(3):446-454 被引 52    
14.  汪明峰. 城市的网络优势——中国互联网骨干网络结构与节点可达性分析. 地理研究,2006,25(2):193-203 被引 48    
15.  王波. 基于微博用户关系的网络信息地理研究——以新浪微博为例. 地理研究,2013,32(2):380-391 被引 37    
16.  王德忠. 区域经济联系定量分析初探:以上海与苏锡常地区经济联系为例. 地理科学,1996,16(1):51-57 被引 61    
17.  王姣娥. 中国航空网络空间结构的复杂性. 地理学报,2009,64(8):899-910 被引 94    
18.  王茂军. 山东省城镇网络结构与城镇网络角色识别———基于民国时期土货/洋货流通网络的分析. 地理研究,2011,30(9):1621-1636 被引 8    
19.  王鑫磊. 中部地区“轴一辐”物流网络构建——基于公路和铁路运输成本的分析视角. 地理科学进展,2012,31(12):1583-1590 被引 10    
20.  王子龙. 产业集聚水平测度的实证研究. 中国软科学,2006(3):109-116 被引 9    
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