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Has the world economy reached its globalization limit?

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  • Miśkiewicz, Janusz
  • Ausloos, Marcel

Abstract

The economy globalization measure problem is discussed. Four macroeconomic indices of twenty among the “richest” countries are examined. Four types of “distances” are calculated. Two types of networks are next constructed for each distance measure definition. It is shown that the globalization process can be best characterised by an entropy measure, based on entropy Manhattan distance. It is observed that a globalization maximum was reached during the interval 1970–2000. More recently a deglobalization process has been observed.

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  • Miśkiewicz, Janusz & Ausloos, Marcel, 2010. "Has the world economy reached its globalization limit?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 797-806.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:4:p:797-806
    DOI: 10.1016/j.physa.2009.10.029
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    Cited by:

    1. Ausloos, Marcel & Saeedian, Meghdad & Jamali, Tayeb & Farahani, S. Vasheghani & Jafari, G. Reza, 2017. "How visas shape and make visible the geopolitical architecture of the planet," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 267-275.
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    4. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    5. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2011. "Measuring globalization: A hierarchical network approach," CREMA Working Paper Series 2011-11, Center for Research in Economics, Management and the Arts (CREMA).
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    7. David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014. "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 13-21, November.
    8. Jelena Stankevičiene & Tatjana Sviderske & Algita Miečinskiene, 2013. "Relationship between Economic Security and Country Risk Indicators in EU Baltic Sea Region Countries," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 1(3), pages 21-33.
    9. Anna Maria D’Arcangelis & Giulia Rotundo, 2016. "Complex Networks in Finance," Lecture Notes in Economics and Mathematical Systems, in: Pasquale Commendatore & Mariano Matilla-García & Luis M. Varela & Jose S. Cánovas (ed.), Complex Networks and Dynamics, pages 209-235, Springer.
    10. Tiago Trancoso, 2013. "Global macroeconomic interdependence: a minimum spanning tree approach," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 179-189, June.
    11. David Matesanz & Benno Torgler & Germán Dabat & Guillermo J. Ortega, 2014. "Co-movements in commodity prices: a note based on network analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 13-21, November.
    12. Matesanz, David & Ortega, Guillermo J., 2015. "Sovereign public debt crisis in Europe. A network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 756-766.
    13. Miśkiewicz, Janusz, 2016. "Improving quality of sample entropy estimation for continuous distribution probability functions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 473-485.
    14. Marcel Ausloos, 2013. "Econophysics: Comments on a Few Applications, Successes, Methods and Models," IIM Kozhikode Society & Management Review, , vol. 2(2), pages 101-115, July.
    15. Argentiero, Amedeo & Bovi, Maurizio & Cerqueti, Roy, 2016. "Bayesian estimation and entropy for economic dynamic stochastic models: An exploration of overconsumption," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 143-157.
    16. Salois, Matthew J., 2013. "Regional changes in the distribution of foreign aid: An entropy approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2893-2902.
    17. Janusz Mi'skiewicz, 2012. "Network analysis of correlation strength between the most developed countries," Papers 1211.3599, arXiv.org.
    18. David Matesanz Gomez & Guillermo J. Ortega & Benno Torgler, 2012. "Synchronization and Diversity in Business Cycles: A Network Approach Applied to the European Union," CREMA Working Paper Series 2012-01, Center for Research in Economics, Management and the Arts (CREMA).
    19. Eugen Scarlat, 2016. "Connectivity - Based Clustering of GDP Time Series," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 23-38, March.

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