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The evolution of oil trade: A complex network approach

Published online by Cambridge University Press:  08 June 2018

ANDREA FRACASSO ,
HIEN T. T. NGUYEN  and
STEFANO SCHIAVO
ANDREA FRACASSO
Affiliation:
School of International Studies, University of Trento, via Tommaso Gar, 14, Trento 38122, Italy Department of Economics and Management, University of Trento, via Inama, 5, Trento 38122, Italy (e-mail: [email protected])
HIEN T. T. NGUYEN
Affiliation:
Phu Hung Securities Corporation, 109 Ton Dat Tien Street, District 7, Ho Chi Minh City 700000, Vietnam (e-mail: [email protected])
STEFANO SCHIAVO
Affiliation:
School of International Studies, University of Trento, via Tommaso Gar, 14, Trento 38122, Italy Department of Economics and Management, University of Trento, via Inama, 5, Trento 38122, Italy OFCE-DRIC, Valbonne 06560, France (e-mail: [email protected])
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Abstract

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.

Keywords

oilcommunitiesglobalizationregionalizationnetworks
Type
Research Article
Information
Network Science , Volume 6 , Issue 4 , December 2018 , pp. 545 - 570
Copyright
Copyright © Cambridge University Press 2018 

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References

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.Google Scholar
De Benedictis, L., & Tajoli, L. (2010). The world trade network. The World Economy, 34 (8), 1417–1454.Google Scholar
De Sousa, J. (2012). The currency union effect on trade is decreasing over time. Economics Letters, 117 (3), 917–920.Google Scholar
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.Google Scholar
Fagiolo, G. (2010). The international-trade network: Gravity equations and topological properties. Journal of Economic Interaction and Coordination, 5 (1), 1–25.Google Scholar
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), 3868–3873.Google Scholar
Freeman, L. C. (1979). Centrality in social networks conceptual clarification. Social Networks, 1 (3), 215–239.Google Scholar
Garlaschelli, D., & Loffredo, M. I. (2005). Structure and evolution of the world trade network. Physica A: Statistical Mechanics and its Applications, 355, 138–44.Google Scholar
Gaulier, G., & Zignago, S. (2010). BACI International Trade Database at Product-Level. The 1994-2007 version. Working Paper 2010-23. CEPII Research Center.Google Scholar
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, 856–865.Google Scholar
Kaufmann, D., Kraay, A., & Mastruzzi, M. (2010). The Worldwide Governance Indicators: Methodology and Analytical Issues. Policy Research Working Paper No. 5430. World Bank.Google Scholar
Kleinberg, J. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM, 46 (5), 604–632.Google Scholar
Leicht, E. A., & Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters, 100, 118703.Google Scholar
Opsahl, T., Colizza, V., Panzarasa, P., & Ramasco, J. J. (2008). Prominence and control: The weighted rich-club effect. Physical Review Letters, 101 (16), 168702.Google Scholar
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.Google Scholar
Smith, J. L. (2009). World oil: Market or mayhem? Journal of Economic Perspectives, 23 (3), 145–164.Google Scholar
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, 1096–1126.Google Scholar
Zhang, H.-Y., Ji, Q., & Fan, Y. (2014). Competition, transmission and pattern evolution: A network analysis of global oil trade. Energy Policy, 73, 312–322.Google Scholar
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, 42–52.Google Scholar