地理科学 ›› 2016, Vol. 36 ›› Issue (2): 265-273.doi: 10.13249/j.cnki.sgs.2016.02.013

• 研究论文 • 上一篇    下一篇

安徽省县际经济联系网络结构演变及影响因素

郑文升1,2(), 姜玉培1,2, 卓蓉蓉1,2, 闰记影3, 王晓芳1,2()   

  1. 1.华中师范大学地理过程分析与模拟湖北省重点实验室,湖北 武汉 430079
    2.湖北省发展和改革委员会/华中师范大学武汉城市圈研究院,湖北 武汉 430079
    3.重庆市地理信息中心,重庆 401121
  • 收稿日期:2015-03-24 修回日期:2015-08-30 出版日期:2016-02-20 发布日期:2016-06-06
  • 作者简介:

    作者简介:郑文升(1982-),男,安徽六安人,博士,副教授,主要从事区域与城乡发展研究。E-mail: zhengwensheng@mail.ccnu.edu.cn

  • 基金资助:
    国家自然科学基金青年项目(41001100);教育部人文社科基金项目(15YJCZH174);湖北省社科基金一般项目(2014031);中央高校基本科研业务费专项资金项目(CCNU15A02003、CCNU15A05003、CCNU15ZD001)资助

Evolution and Influencing Factors of the Structure of Economic Linkage Network at County Level in Anhui Province

Wensheng Zheng1,2(), Yupei Jiang1,2, Rongrong Zhuo1,2, Jiying Run3, Xiaofang Wang1,2()   

  1. 1.Key Laboratory for Geographical Process Analysis & Simulation, Hubei Province, Central China Normal University, Wuhan 430079, Hubei,China
    2. Academy of Wuhan Metropolitan Area, Hubei Development and Reform Commission & Central China Normal University, Wuhan 430079,Hubei,China
    3. Chongqing Geomatics Center, Chongqing 401121,China
  • Received:2015-03-24 Revised:2015-08-30 Online:2016-02-20 Published:2016-06-06
  • Supported by:
    National Natural Science Foundation of China (41001100), Humanities and Social Sciences Foundation of Ministry of Education in China (15YJCZH174), Social Science Foundation of Hubei Province (2014031), The Fundamental Research Funds for the Central Universities (CCNU15A02003, CCNU15A05003, CCNU15ZD001)

摘要:

选取安徽省全部78个县级经济区域作为网络节点,采用修正后的1996年、2004年及2013年的经济联系强度反映节点之间的联系,运用GIS工具和社会网络、空间马尔科夫等方法分析县际经济联系网络结构的动态变化及其影响因素。结果表明:安徽省县际经济联系网络密度不断增强,县际经济联系逐渐多向化、稠密化、纵深化;合肥中心城区一直处于网络中心,经济扩散能力不断增强;无为、怀远、肥东等县逐渐成为衔接地区经济联系的“门户节点”;县际经济联系网络结构具有分层集聚特征,基本上形成“四大八小”的空间格局;影响县际经济联系网络结构演变的因素主要包括要素集聚与扩散、空间近邻作用、交通可达性改善、政策激励与引导。

关键词: 网络结构, 社会网络分析, 空间近邻效应, 安徽省

Abstract:

Study in regional economic linkages is one of the most important aspects of economic geography and regional research. The approach of social network analysis (SNA) has emerged as a key technique in study of regional economic linkages. Taking the 78 county areas in Anhui Province as network nodes to constructed the economic linkage network, the connections between nodes were evaluated by the revised economic relation intensity in 1996, 2004 and 2013 in this article. Firstly, we used GIS tools to map the structure of economic linkage network at county level in Anhui Province in 1996, 2004 and 2013. Then, under the support of social network analysis software UCINET, our study analyzed the centrality from three aspects: degree centrality, closeness centrality and betweenness centrality. Furthermore, we marked out four cohesive subgroups of economic linkage network at county level in Anhui Province. For the influencing factors, this article constructed a spatial markov matrix for county-level GDP per capita in Anhui Province to examine spatial adjacency effect, and the evolution of traffic accessibility at county level was calculated by average traffic time from a node to all other nodes. The results show that: 1) The density of economic linkage network in Anhui Province has been continuously boosting in 2013, from 0.307 in 1996 to 0.712. Besides, the economic linkages between counties have been developing toward multi-direction, densification and deepened way, which was good to the formation of economic linkage network; 2) The central city of Hefei, the capital city of Anhui Province, was the center of economic linkage networkwith its capacity of economic spread has been increasingly enlarging. Simultaneously, Wuwei, Huaiyuan and Feidong have gradually became the portal nodes that play an important role in promoting regional economic connection; 3) Cohesive subgroup is an effective way to the construction of inter-county economic linkage network. The small group analysis can more availably reveal the source of development and competitiveness improvement of the less important nodes. 4) Hierarchical agglomeration was a characteristic of the structure of economic linkage network and mainly embodied in the spatial pattern called “four main regions and eight sub regions”. 5) The factors influenced the evolution of the structure of economic linkage network mainly included the agglomeration and diffusion of elements, spatial adjacency effect, the improvement of traffic accessibility and the policy motivation and guidance. Based on all of the above, the policy recommendations for promoting regional coordinate and integrated development were also discussed.

Key words: network structure, social network analysis, spatial interaction, Anhui Province

中图分类号: 

  • F127