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


LIU Jinsong


School of Business Administration, Jiangxi University of Finance and Economics


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.


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


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Total: 22 articles

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