地理研究 ›› 2015, Vol. 34 ›› Issue (4): 775-786.doi: 10.11821/dlyj201504015

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经贸视角下中国周边地缘环境分析——基于社会网络分析方法

潘峰华(), 赖志勇, 葛岳静   

  1. 北京师范大学地理学与遥感科学学院,北京 100875
  • 收稿日期:2014-09-10 修回日期:2015-01-15 出版日期:2015-04-10 发布日期:2015-04-10
  • 作者简介:

    作者简介:潘峰华(1982- ),男,江苏金坛人,博士,讲师,主要研究方向为经济地理、金融地理、城市与区域发展。E-mail: panfenghua@bnu.edu.cn

  • 基金资助:
    国家自然科学基金项目(41171097)

The surrounding geopolitical environment of China: A social network analysis based on trade data

Fenghua PAN(), Zhiyong LAI, Yuejing GE   

  1. School of Geography, Beijing Normal University, Beijing 100875, China
  • Received:2014-09-10 Revised:2015-01-15 Online:2015-04-10 Published:2015-04-10

摘要:

周边对一国地区稳定、经济发展等影响重大,中国也一直奉行“邻国是首要”的外交战略,推行“睦邻、富邻、安邻”的邻国政策。主要分析中国及其周边国家贸易网络,在经济依赖度分析等基础上,借助社会网络分析工具进行程度中心性分析、结构同型分析等一系列分析,从而对中国及其周边国家贸易网络进行多方面解剖。结果表明:中国与周边国家存在不平等的经济依赖度;贸易网络存在较为明显的核心—边缘结构;中国在周边贸易网络中占据主导地位,经济影响力不断上升。研究表明,地缘政治研究中引入社会网络分析方法可以实现空间关系的网络化和网络关系的空间化,深化对地缘环境的认识。

关键词: 社会网络分析, 贸易格局, 中国与周边国家, 程度中心性, 经济依赖度

Abstract:

The diplomatic relations with neighboring countries are critical for the regional stability and economic development for a country. China has considered neighboring countries as strategic partners and implemented diplomatic policies to promote harmony, prosperity and security of neighboring countries. Binational trade between countries is one driving factor that may influence the national relationship in the globalization era. Therefore, the trade relations between China and its neighboring countries are critical to understand China's geopolitical environment. This paper analyzes the trade relations between China and its neighboring countries using social network analysis (SNA) method. Drawing on the trade data between China and its neighbors in the years of 2001, 2006 and 2011, we analyze the economic dependence between China and its neighboring countries. Based on SNA method, we conduct the centrality analysis and structure equivalence analysis aiming to explore the trade network of China and its neighbors in various aspects. The results suggest that the trade dependence is unequal between China and its neighbors. The neighboring countries are more dependent on the trade with China, and the trade dependence of these countries on China was significantly increased from 2001 to 2011. The trade network has an obvious core-periphery structure with China and Japan at the core positions. From 2001 to 2011, the degree centrality of China and its neighbors presents a power-law distribution pattern, which means China is at the center of the trade networks. Moreover, the degree centrality of China has grown fast and became the largest in 2011. The results suggest that China plays a leading role in the trade networks and has great economic influence over its neighboring countries. This research shows that SNA method has a great potential in further geopolitical research.

Key words: social network analysis, trade pattern, China and its neighboring countries, centrality degree, economic dependence