?Evolution of world natural gas trade pattern based on social network analysis

【Author】

LIU Jinsong

【Institution】

School of Business Administration, Jiangxi University of Finance and Economics

【Abstract】

Based on world natural gas trade data during the period of 2007–2014, this paper analyzes the network density, centrality and clustering coefficient of the trade of the world’s pipeline natural gas (PNG) and liquefied natural gas (LNG) by using social network analysis. The findings are as follows.: Firstly, the global natural gas trade network has low density, but the network density of LNG is obviously higher than that of PNG. Secondly, the main trading node countries are Russia, Turkmenistan, Norway, Japan, Korea, Italy and China. China’s influence on the world’s natural gas trade is rapidly increasing in recent years. Thirdly, the clustering coefficient of LNG trade network is constantly increasing while that of PNG is declining, which reflects that the regional trade characteristics of LNG have been strengthened. Fourthly, the trade network figures show that the world’s LNG trade network is evolving faster than that of PNG. In the future, with the influence of shale gas revolution and US energy independence, the world’s LNG trade will be further activated, and its global trade network density as well as clustering coefficient will be further enhanced.

【Keywords】

energy;natural gas trade;US energy independence;import;social network analysis;world

References

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Springer Journals Database

Total: 22 articles

  • [1] 刘军, 整体网分析, 格致出版社, 2014
  • [2] Gao Anrong1,Tian Nan2 (1.SINOPEC Petroleum Exploration and Production Research Institute ,Beijing 100083; 2.China Institute of Nuclear Information & Economics ,Beijing 100037), Development Trends of World′s LNG, Sino-Global Energy, 2009 (03)
  • [3] Zhang Kang1,Zhou Fang2(1.SINOPEC Exploration & Production Research Institute,Beijing 100083;2.SINOPEC International Petroleum Exploration and Production Corporation,Beijing 100083), Changes in World NG Market Landscape and Opportunities for China, Sino-Global Energy, 2010 (11)
  • [4] CHENG Shu-jia1,2,WANG Zhao-jun1(1.Urban and Environmental Sciences,Northeast Normal University,Changchun,Jilin 130024,China; 2.Development College,Jilin Agricultural University,Changchun,Jilin 130600,China), Evolution of Spatial Pattern of World Crude Oil Trade Based on Complicated Network Theory, Scientia Geographica Sinica, 2011 (11)

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