Abstract
Using the United Nations COMTRADE database (United Nations Commodity Trade Statistics Database, http://comtrade.un.org/db/ (accessed January 2019)) we apply the reduced Google matrix (REGOMAX) algorithm to analyze the multiproduct world trade in years 2004–2016. Our approach allows determining the trade balance sensitivity of a group of countries to a specific product price increase from a specific exporting country taking into account all direct and indirect trade pathways via all world countries exchanging 61 UN COMTRADE identified trade products. On the basis of this approach we present the influence of trade in petroleum and gas products from Russia, USA, Saudi Arabia and Norway determining the sensitivity of each EU country. We show that the REGOMAX approach provides a new and more detailed analysis of trade influence propagation comparing to the usual approach based on export and import flows.
Graphical abstract
Similar content being viewed by others
References
United Nations Commodity Trade Statistics Database, http://comtrade.un.org/db/ (accessed January 2019)
World Trade Organization, World Trade Statistical Review 2018 (2018), https://www.wto.org/english/res_e/statis_e/wts2018_e/wts18_toc_e.htm (accessed January 2019)
P.R. Krugman, M. Obstfeld, M. Melitz,International Economics: Theory & Policy (Prentic Hall, New Jersey, 2011)
S. Dorogovtsev,Lectures on Complex Networks (Oxford University Press, Oxford, 2010)
L. Ermann, D.L. Shepelyansky, Acta Phys. Pol. A 120, A158 (2011)
L. Ermann, D.L. Shepelyansky, Eur. Phys. J. B 88, 84 (2015)
S. Brin, L. Page, Comput. Netw. ISDN Syst. 30, 107 (1998)
A.M. Langville, C.D. Meyer,Google’s PageRank and Beyond: The Science of Search Engine Rankings (Princeton University Press, Princeton, 2006)
L. Ermann, K.M. Frahm, D.L. Shepelyansky, Rev. Mod. Phys. 87, 1261 (2015)
A.D. Chepelianskii, Towards physical laws for software architecture, https://arXiv:1003.5455 (2010)
A.O. Zhirov, O.V. Zhirov, D.L. Shepelyansky, Eur. Phys. J. B 77, 523 (2010)
K.M. Frahm, D.L. Shepelyansky, Reduced Google matrix, https://arXiv:1602.02394 (2016)
K.M. Frahm, K. Jaffrès-Runser, D.L. Shepelyansky, Eur. Phys. J. B 89, 269 (2016)
C. Coquide, J. Lages, D.L. Shepelyansky, Eur. Phys. J. B 92, 3 (2019)
J. Lages, D.L. Shepelyansky, A. Zinovyev, PLoS ONE 13, e0190812 (2018)
M.A. Serrano, M. Boguna, A. Vespignani, J. Econ. Interac. Coord. 2, 111 (2007)
G. Fagiolo, J. Reyes, S. Schiavo, Phys. Rev. E 79, 036115 (2009)
J. He, M.W. Deem, Phys. Rev. Lett. 105, 198701 (2010)
G. Fagiolo, J. Reyes, S. Schiavo, J. Evol. Econ. 20, 479 (2010)
M. Barigozzi, G. Fagiolo, D. Garlaschelli, Phys. Rev. E 81, 046104 (2010)
A. Chakraborty, Y. Kichikawa, T. Iino, H. Iyetomi, H. Inoue, Y. Fujiwara, H. Aoyama, PLoS ONE 13, e0202739 (2018)
L. De Benedictis, L. Tajoli, World Econ. 34, 1417 (2011)
T. Deguchi, K. Takahashi, H. Takayasu, M. Takayasu, PLoS ONE 9, e1001338 (2014)
L. Ermann, K.M. Frahm, D.L. Shepelyansky, Eur. Phys. J. B 91, 127 (2018)
J.-P. Bouchaud, M. Potters,Theory of Financial Risk and Derivative Pricing (Cambridge University Press, Cambridge, 2003)
M.C. Munnix, R. Schaefer, T. Guhr, PLoS ONE 9, e98030 (2014)
M. Bardoscia, G. Livan, M. Marsili, J. Stat. Mech.: Theory Exp. 2017, 043402 (2017)
ISO 3166-1 alpha-2, Wikipedia, https://en.wikipedia.org/w/index.php?title=ISO_3166-1_alpha-2&oldid=881234177 (accessed January 2019)
List of sovereign states in Europe by GDP (nominal), Wikipedia, https://en.wikipedia.org/w/index.php?title=List_of_sovereign_states_in_Europe_by_GDP_(nominal)&oldid=864980281 (accessed January 2019)
Jenks natural breaks optimization, Wikipedia, https://en.wikipedia.org/wiki/Jenks_natural_breaks_optimization (accessed January 2019)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Coquidé, C., Ermann, L., Lages, J. et al. Influence of petroleum and gas trade on EU economies from the reduced Google matrix analysis of UN COMTRADE data. Eur. Phys. J. B 92, 171 (2019). https://doi.org/10.1140/epjb/e2019-100132-6
Received:
Revised:
Published:
DOI: https://doi.org/10.1140/epjb/e2019-100132-6