IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1604.03522.html
   My bibliography  Save this paper

The Topology of African Exports: emerging patterns on spanning trees

Author

Listed:
  • Tanya Ara'ujo
  • M. Ennes Ferreira

Abstract

This paper is a contribution to interweaving two lines of research that have progressed in separate ways: network analyses of international trade and the literature on African trade and development. Gathering empirical data on African countries has important limitations and so does the space occupied by African countries in the analyses of trade networks. Here, these limitations are dealt with by the definition of two independent bipartite networks: a destination share network and\ a\ commodity share network. These networks - together with their corresponding minimal spanning trees - allow to uncover some ordering emerging from African exports in the broader context of international trade. The emerging patterns help to understand important characteristics of African exports and its binding relations to other economic, geographic and organizational concerns as the recent literature on African trade, development and growth has shown.

Suggested Citation

  • Tanya Ara'ujo & M. Ennes Ferreira, 2016. "The Topology of African Exports: emerging patterns on spanning trees," Papers 1604.03522, arXiv.org.
    • Handle: RePEc:arx:papers:1604.03522
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1604.03522
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Tiziano Squartini, 2015. "Detecting early signs of the 2007-2008 crisis in the world trade," Papers 1508.03533, arXiv.org, revised Jul 2016.
    2. Spelta, Alessandro & Araújo, Tanya, 2012. "The topology of cross-border exposures: Beyond the minimal spanning tree approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5572-5583.
    3. Mina Baliamoune-Lutz, 2011. "Growth by Destination (Where You Export Matters): Trade with China and Growth in African Countries," African Development Review, African Development Bank, vol. 23(2), pages 202-218.
    4. repec:hal:spmain:info:hdl:2441/9771 is not listed on IDEAS
    5. Charles Ackah, 2005. "Working Paper 78 - Trade Policy and Performance in Sub - Saharan Africa since the 1980s," Working Paper Series 213, African Development Bank.
    6. Elisa Gamberoni, 2007. "Do unilateral trade preferences help export diversification? An investigation of the impact of European unilateral trade preferences on the extensive and intensive margin of trade," IHEID Working Papers 17-2007, Economics Section, The Graduate Institute of International Studies.
    7. Dias, João, 2012. "Sovereign debt crisis in the European Union: A minimum spanning tree approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2046-2055.
    8. Assaf Almog & Tiziano Squartini & Diego Garlaschelli, 2015. "The double role of GDP in shaping the structure of the International Trade Network," Papers 1512.02454, arXiv.org, revised Dec 2015.
    9. Yang, Yu & Poon, Jessie P.H. & Liu, Yi & Bagchi-Sen, Sharmistha, 2015. "Small and flat worlds: A complex network analysis of international trade in crude oil," Energy, Elsevier, vol. 93(P1), pages 534-543.
    10. Bergstrand, Jeffrey H, 1985. "The Gravity Equation in International Trade: Some Microeconomic Foundations and Empirical Evidence," The Review of Economics and Statistics, MIT Press, vol. 67(3), pages 474-481, August.
    11. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    12. M. Serrano & Marián Boguñá & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 111-124, December.
    13. Francesco Picciolo & Tiziano Squartini & Franco Ruzzenenti & Riccardo Basosi & Diego Garlaschelli, 2012. "The role of distances in the World Trade Web," Papers 1210.3269, arXiv.org, revised Oct 2012.
    14. M. Angeles Serrano & Marian Boguna & Alessandro Vespignani, 2007. "Patterns of dominant flows in the world trade web," Papers 0704.1225, arXiv.org.
    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. Rui Faustino, 2016. "Portuguese National Accounts: a network approach," Working Papers Department of Economics 2016/18, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    2. Araújo, Tanya & Fontainha, Elsa, 2017. "The specific shapes of gender imbalance in scientific authorships: A network approach," Journal of Informetrics, Elsevier, vol. 11(1), pages 88-102.
    3. Araújo, Tanya & Faustino, Rui, 2017. "The topology of inter-industry relations from the Portuguese national accounts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 236-248.
    4. Susana Santos & Tanya Araújo, 2018. "The network of inter-industry flows in a SAM framework," Working Papers REM 2018/40, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    5. Diego Kozlowski & Viktoriya Semeshenko & Andrea Molinari, 2021. "Latent Dirichlet allocation model for world trade analysis," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.

    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. Araújo, Tanya & Ferreira, Manuel Ennes, 2016. "The topology of African exports: Emerging patterns on spanning trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 962-976.
    2. Marco Dueñas & Giorgio Fagiolo, 2013. "Modeling the International-Trade Network: a gravity approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 155-178, April.
    3. Zongning Wu & Hongbo Cai & Ruining Zhao & Ying Fan & Zengru Di & Jiang Zhang, 2020. "A Topological Analysis of Trade Distance: Evidence from the Gravity Model and Complex Flow Networks," Sustainability, MDPI, vol. 12(9), pages 1-17, April.
    4. Assaf Almog & Rhys Bird & Diego Garlaschelli, 2015. "Enhanced Gravity Model of trade: reconciling macroeconomic and network models," Papers 1506.00348, arXiv.org, revised Feb 2019.
    5. Bartesaghi, Paolo & Clemente, Gian Paolo & Grassi, Rosanna & Luu, Duc Thi, 2022. "The multilayer architecture of the global input-output network and its properties," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 304-341.
    6. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    7. Aller, Carlos & Ductor, Lorenzo & Herrerias, M.J., 2015. "The world trade network and the environment," Energy Economics, Elsevier, vol. 52(PA), pages 55-68.
    8. Rosanna Grassi & Paolo Bartesaghi & Stefano Benati & Gian Paolo Clemente, 2021. "Multi-Attribute Community Detection in International Trade Network," Networks and Spatial Economics, Springer, vol. 21(3), pages 707-733, September.
    9. 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.
    10. Marcos Duenas & Rossana Mastrandrea & Matteo Barigozzi & Giorgio Fagiolo, 2017. "Spatio-Temporal Patterns of the International Merger and Acquisition Network," LEM Papers Series 2017/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Charlie Joyez, 2017. "Network Structure of French Multinational Firms," Working Papers DT/2017/08, DIAL (Développement, Institutions et Mondialisation).
    12. Luca De Benedictis & Lucia Tajoli, 2010. "Comparing sectoral international trade networks," Aussenwirtschaft, University of St. Gallen, School of Economics and Political Science, Swiss Institute for International Economics and Applied Economics Research, vol. 65(2), pages 167-189, June.
    13. C'elestin Coquid'e & Jos'e Lages & Dima L. Shepelyansky, 2023. "Prospects of BRICS currency dominance in international trade," Papers 2305.00585, arXiv.org.
    14. Giorgio Fagiolo & Tiziano Squartini & Diego Garlaschelli, 2013. "Null models of economic networks: the case of the world trade web," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 75-107, April.
    15. Hübler, Michael, 2016. "A new trade network theory: What economists can learn from engineers," Economic Modelling, Elsevier, vol. 55(C), pages 115-126.
    16. Arcagni, Alberto & Cerqueti, Roy & Grassi, Rosanna, 2024. "Higher-order assortativity for directed weighted networks and Markov chains," European Journal of Operational Research, Elsevier, vol. 316(1), pages 215-227.
    17. Leonardo Ermann & Dima L. Shepelyansky, 2015. "Google matrix analysis of the multiproduct world trade network," Papers 1501.03371, arXiv.org.
    18. Roberto Antonietti & Paolo Falbo & Fulvio Fontini & Rosanna Grassi & Giorgio Rizzini, 2021. "International Trade Network: Country centrality and COVID-19 pandemic," Papers 2107.14554, arXiv.org.
    19. Theodore Tsekeris, 2017. "Network analysis of inter-sectoral relationships and key sectors in the Greek economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 413-435, July.
    20. C'elestin Coquid'e & Jos'e Lages & Dima L. Shepelyansky, 2020. "Crisis contagion in the world trade network," Papers 2002.07100, arXiv.org.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:1604.03522. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.