• 论文 •

### 中原经济区县际经济联系网络结构及其演化特征

1. 1. 河南大学黄河文明与可持续发展研究中心暨黄河文明传承与现代文明建设河南省协同创新中心, 开封 475001;
2. 河南大学环境与规划学院, 开封 475004
• 收稿日期:2013-12-05 修回日期:2014-04-08 出版日期:2014-07-10 发布日期:2014-07-10
• 通讯作者: 苗长虹（1965-），男，河南鄢陵县人，博士，教授，博士生导师，研究方向为经济地理与区域发展。E-mail：chhmiao@henu.edu.cn E-mail:chhmiao@henu.edu.cn
• 作者简介:李亚婷（1981-），女，河南西华县人，博士研究生，讲师，研究方向为区域发展与规划、GIS应用研究。E-mail：ytli81@126.com
• 基金资助:
国家自然科学基金项目（41329001，41001359）

### Structure and evolution of economic linkage network at county level in Central Plains Economic Zone

LI Yating1,2, PAN Shaoqi2, MIAO Changhong1,2

1. 1. Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, Henan, China;
2. College of Environment and Planning, Henan University, Kaifeng 475004, Henan, China
• Received:2013-12-05 Revised:2014-04-08 Online:2014-07-10 Published:2014-07-10

Abstract: With the rapid development of economic globalization and regional economic integration, the various contacts between cities and regions have become stronger and have a characteristic of network. As a result, regional economic linkage has always been a hot issue in economic geography and regional research. Researches on regional economic ties have provided theoretical basis and research paradigms in economic zone. However, current researches on regional characteristics are insufficient in regional economic ties, especially in less developed areas. Moreover, traditional research has mostly used the same threshold to establish economic networks in different periods, thus the change of the connectivity could be clearly identified, but the whole network structure of economic network and the roles of cities and key links in the network are difficult to be identified. If the same index was used to determine the threshold respectively at different time, it would be convenient to analyze the network structure and the roles of the cities, while it would be hard to identify the change of the connectivity. This paper, based on the gravity model in combination with network analysis of GIS which is used to acquire the matrix of the shortest time between any two counties, taking the Central Plains Economic Region as an example, calculates the economic linkage intensity between counties in 1996 and 2010, and analyses the network structure and its evolution characteristics by setting the same and different threshold separately. The conclusions can be drawn as follows: (1) The connectivity of the economic network has greatly improved in the Central Plains Economic Region, and the economic development and improvement of transportation is the main cause for the increase of network density and facilitation. (2) The connectivity among nodes is very different, and a small number of nodes hold the absolute network power, in which Zhengzhou and other four core nodes are particularly prominent. The linkage framework presents a transverse "T"-shaped pattern, and increasing the connectivity of eastern nodes will be helpful for constructing the cross-shape development axis. (3) The network has core-periphery structure and polarization trend, and the core region has the enlarging influence and radiation on the adjacent region. To strengthen the connectivity of nodes in the edge area will improve the regional integration development. (4) The connectivity of nodes tends to agglomerate by the "hub-andspoke" network structure around the secondary core nodes, the construction and evolution of the cross-shape development axis and the "米"-like development zone will facilitate to form multiple hub-and-spoke nested economic network. (5) Zhengzhou and other prominent nodes have become the "brokers" in the network due to their strong connectivity, but some nodes with low degree values act as the "structural holes" between the cluster regions. It is necessary to raise the ability of the connectivity of the "broker" nodes and the low degree value nodes by improving the economic and transportation conditions.