IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01821137.html
   My bibliography  Save this paper

Trade integration and trade imbalances in the European Union: a network perspective

Author

Listed:
  • Gautier M. Krings
  • Jean-François Carpantier

    (CERGAM - Centre d'Études et de Recherche en Gestion d'Aix-Marseille - AMU - Aix Marseille Université - UTLN - Université de Toulon)

  • Jean-Charles Delvenne

    (ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics - UCL - Université Catholique de Louvain = Catholic University of Louvain)

Abstract

We study the ever more integrated and ever more unbalanced trade relationships between European countries. To better capture the complexity of economic networks, we propose two global measures that assess the trade integration and the trade imbalances of the European countries. These measures are the network (or indirect) counterparts to traditional (or direct) measures such as the trade-to-GDP (Gross Domestic Product) and trade deficit-to-GDP ratios. Our indirect tools account for the European inter-country trade structure and follow (i) a decomposition of the global trade flow into elementary flows that highlight the long-range dependencies between exporting and importing economies and (ii) the commute-time distance for trade integration, which measures the impact of a perturbation in the economy of a country on another country, possibly through intermediate partners by domino effect. Our application addresses the impact of the launch of the Euro. We find that the indirect imbalance measures better identify the countries ultimately bearing deficits and surpluses, by neutralizing the impact of trade transit countries, such as the Netherlands. Among others, we find that ultimate surpluses of Germany are quite concentrated in only three partners. We also show that for some countries, the direct and indirect measures of trade integration diverge, thereby revealing that these countries (e.g. Greece and Portugal) trade to a smaller extent with countries considered as central in the European Union network.

Suggested Citation

  • Gautier M. Krings & Jean-François Carpantier & Jean-Charles Delvenne, 2013. "Trade integration and trade imbalances in the European Union: a network perspective," Working Papers hal-01821137, HAL.
  • Handle: RePEc:hal:wpaper:hal-01821137
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    2. Marco Dueñas & Giorgio Fagiolo, 2014. "Global Trade Imbalances: A Network Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 17(03n04), pages 1-29.
    3. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
    4. Javier Reyes & Stefano Schiavo & Giorgio Fagiolo, 2008. "Assessing The Evolution Of International Economic Integration Using Random Walk Betweenness Centrality: The Cases Of East Asia And Latin America," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 685-702.
    5. repec:hal:spmain:info:hdl:2441/9771 is not listed on IDEAS
    6. Kenneth M. Hall, 1970. "An r-Dimensional Quadratic Placement Algorithm," Management Science, INFORMS, vol. 17(3), pages 219-229, November.
    7. Jiankui He & Michael W. Deem, 2010. "Structure and Response in the World Trade Network," Papers 1010.0410, arXiv.org.
    8. Cesar A. Hidalgo & Ricardo Hausmann, 2009. "The Building Blocks of Economic Complexity," Papers 0909.3890, arXiv.org.
    9. Andrew K. Rose, 2000. "One money, one market: the effect of common currencies on trade," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 15(30), pages 08-45.
    10. K. Bhattacharya & G. Mukherjee & J. Saramaki & K. Kaski & S. S. Manna, 2007. "The International Trade Network: weighted network analysis and modelling," Papers 0707.4343, arXiv.org, revised Mar 2008.
    11. Fracasso, Andrea & Schiavo, Stefano, 2009. "Global imbalances, exchange rates adjustment and the crisis: Implications from network analysis," Journal of Policy Modeling, Elsevier, vol. 31(5), pages 601-619, September.
    12. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    13. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kireyev, A., 2019. "A Network Model of Multilateral Equilibrium Exchange Rates," Journal of the New Economic Association, New Economic Association, vol. 41(1), pages 12-33.
    2. DI SUMMA, Marco, 2013. "The convex hull of the all-different system with the inclusion property: a simple proof," LIDAM Discussion Papers CORE 2013069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Deepika Srivastava & M. Rahul, 2024. "Network analysis of trade and FDI," SN Business & Economics, Springer, vol. 4(1), pages 1-27, January.
    4. Theophilos Papadimitriou & Periklis Gogas & Fotios Gkatzoglou, 2022. "The Convergence Evolution in Europe from a Complex Networks Perspective," JRFM, MDPI, vol. 15(10), pages 1-14, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
    2. Leonardo Ermann & Dima L. Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Papers 1501.03371, arXiv.org.
    3. Julian Maluck & Reik V Donner, 2015. "A Network of Networks Perspective on Global Trade," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-24, July.
    4. Nobi, Ashadun & Lee, Tae Ho & Lee, Jae Woo, 2020. "Structure of trade flow networks for world commodities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    5. Rita María del Río-Chanona & Jelena Grujić & Henrik Jeldtoft Jensen, 2017. "Trends of the World Input and Output Network of Global Trade," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    6. Li, Yuke & Wu, Tianhao & Marshall, Nicholas & Steinerberger, Stefan, 2017. "Extracting geography from trade data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 205-212.
    7. Vivek Kandiah & Hubert Escaith & Dima L. Shepelyansky, 2015. "Google matrix of the world network of economic activities," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(7), pages 1-20, July.
    8. Marco Dueñas & Giorgio Fagiolo, 2014. "Global Trade Imbalances: A Network Approach," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 17(03n04), pages 1-29.
    9. Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
    10. Baskaran, Thushyanthan & Blöchl, Florian & Brück, Tilman & Theis, Fabian J., 2011. "The Heckscher-Ohlin model and the network structure of international trade," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 135-145, April.
    11. Massimo Riccaboni & Stefano Schiavo, 2009. "The Structure and Growth of International Trade," Documents de Travail de l'OFCE 2009-24, Observatoire Francais des Conjonctures Economiques (OFCE).
    12. Felipe Chávez-Bustamante & Elliott Mardones-Arias & Julio Rojas-Mora & Jaime Tijmes-Ihl, 2023. "A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks," Mathematics, MDPI, vol. 11(3), pages 1-20, January.
    13. Paolo Bartesaghi & Gian Paolo Clemente & Rosanna Grassi, 2020. "Community structure in the World Trade Network based on communicability distances," Papers 2001.06356, arXiv.org, revised Jul 2020.
    14. Charlie Joyez, 2017. "Network Structure of French Multinational Firms," Working Papers DT/2017/08, DIAL (Développement, Institutions et Mondialisation).
    15. V. Kandiah & H. Escaith & D. L. Shepelyansky, 2015. "Contagion effects in the world network of economic activities," Papers 1507.03278, arXiv.org.
    16. Charlie Joyez, 2019. "Alignment of Multinational Firms along Global Value Chains: A Network-based Perspective," GREDEG Working Papers 2019-05, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    17. Fan, Ying & Ren, Suting & Cai, Hongbo & Cui, Xuefeng, 2014. "The state's role and position in international trade: A complex network perspective," Economic Modelling, Elsevier, vol. 39(C), pages 71-81.
    18. Hoppe, K. & Rodgers, G.J., 2015. "A microscopic study of the fitness-dependent topology of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 64-74.
    19. Paolo Bartesaghi & Gian Paolo Clemente & Rosanna Grassi, 2022. "Community structure in the World Trade Network based on communicability distances," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 405-441, April.
    20. Yuke Li & Tianhao Wu & Nicholas Marshall & Stefan Steinerberger, 2016. "Extracting Geography from Trade Data," Papers 1607.05235, arXiv.org, revised Jul 2016.

    More about this item

    Keywords

    trade network; integration; Euro; Rose effect; flow decomposition; commute-time distance;
    All these keywords.

    JEL classification:

    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F15 - International Economics - - Trade - - - Economic Integration
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-01821137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.