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The evolution of oil trade: A complex network approach

  • ANDREA FRACASSO (a1) (a2), HIEN T. T. NGUYEN (a3) and STEFANO SCHIAVO (a1) (a4) (a5)

Trade in oil has undergone significant changes in the last 20 years: technical progress has allowed the exploitation of new and previously untapped fields; the emergence of new large oil importers, such as China, has shifted the traditional patterns of demand and supply, while the desire to diversify energy sources has favored the emergence of new suppliers. This paper compares the topological properties of the network of crude oil trade over the period 1995–2014. The analysis covers both aggregate measures (such as network density and centralization) and node-specific indicators (e.g. centrality) that allow to uncover the rise (demise) of new (old) important players. Accounting for the position of each country within the network provides valuable information above and beyond traditional measures such as market shares. To investigate whether oil trade has experienced a process of globalization or, rather, regionalization, we look at the community structure of the network: the number of communities increases in the aftermath of the global financial crisis, but then goes back to its historical values. Something similar happens to the average geographic distance within each community, showing that along a regional component there are also strategic/political considerations at play. Econometric analysis suggests that high oil prices increase the likelihood that high-production-cost exporters play a more central role in the network, thus reducing the power of traditional suppliers.

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Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008 (10), P10008.
De Benedictis, L., & Tajoli, L. (2010). The world trade network. The World Economy, 34 (8), 14171454.
De Sousa, J. (2012). The currency union effect on trade is decreasing over time. Economics Letters, 117 (3), 917920.
Fagiolo, G., Reyes, J., & Schiavo, S. (2009). World-trade web: Topological properties, dynamics, and evolution. Physical Review E – Statistical, Nonlinear, and Soft Matter Physics, 79 (3), 036115.
Fagiolo, G. (2010). The international-trade network: Gravity equations and topological properties. Journal of Economic Interaction and Coordination, 5 (1), 125.
Fagiolo, G., Reyes, J., & Schiavo, S. (2008). On the topological properties of the world trade web: A weighted network analysis. Physica A: Statistical Mechanics and its Applications, 387 (15), 38683873.
Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1 (3), 215239.
Garlaschelli, D., & Loffredo, M. I. (2005). Structure and evolution of the world trade network. Physica A: Statistical Mechanics and its Applications, 355, 138–44.
Gaulier, G., & Zignago, S. (2010). BACI International Trade Database at Product-Level. The 1994-2007 version. Working Paper 2010-23. CEPII Research Center.
Ji, Q., Zhang, H.-Y., & Fan, Y. (2014). Identification of global oil trade patterns: An empirical research based on complex network theory. Energy Conversion and Management, 85, 856865.
Kaufmann, D., Kraay, A., & Mastruzzi, M. (2010). The Worldwide Governance Indicators: Methodology and Analytical Issues. Policy Research Working Paper No. 5430. World Bank.
Kleinberg, J. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, 46 (5), 604632.
Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100, 118703.
Opsahl, T., Colizza, V., Panzarasa, P., & Ramasco, J. J. (2008). Prominence and control: The weighted rich-club effect. Physical Review Letters, 101 (16), 168702.
Smith, D. A., & White, D. R. (1992). Structure and dynamics of the global economy: Network analysis of international trade, 1965–1980. Social Forces, 70, 857–93.
Smith, J. L. (2009). World oil: Market or mayhem? Journal of Economic Perspectives, 23 (3), 145164.
Snyder, D., & Kick, E. (1979). Structural position in the world system and economic growth 1955–70: A multiple network analysis of transnational interactions. American Journal of Sociology, 84, 10961126.
Zhang, H.-Y., Ji, Q., & Fan, Y. (2014). Competition, transmission and pattern evolution: A network analysis of global oil trade. Energy Policy, 73, 312322.
Zhong, W., An, H., Gao, X., & Sun, X. (2014). The evolution of communities in the international oil trade networks. Physica A: Statistical Mechanics and Its Applications, 413, 4252.
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Network Science
  • ISSN: 2050-1242
  • EISSN: 2050-1250
  • URL: /core/journals/network-science
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