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Effect of Linguistic Heterogeneity on Technology Transfer: An Economic Study of FIFA Football Rankings

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  • Yamamura, Eiji

Abstract

This paper used Fédération Internationale de Football Association (FIFA) world ranking points data to examine how linguistic heterogeneity has an impact on technology transfer from the most developed countries. The major findings were that the learning effect from the most developed countries on team performance is larger for developing countries than for developed ones, and that linguistic heterogeneity has a detrimental effect on technology transfer for developed but not developing countries. The results presented here are interpreted to imply that the importance of common and proper comprehension of team strategy among members, which improves team performance but is hampered by linguistic heterogeneity, depends on the stage of development.

Suggested Citation

  • Yamamura, Eiji, 2010. "Effect of Linguistic Heterogeneity on Technology Transfer: An Economic Study of FIFA Football Rankings," MPRA Paper 27181, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:27181
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    1. Alesina, Alberto & Devleeschauwer, Arnaud & Easterly, William & Kurlat, Sergio & Wacziarg, Romain, 2003. "Fractionalization," Journal of Economic Growth, Springer, vol. 8(2), pages 155-194, June.
    2. Jan Willem Gunning & Paul Collier, 1999. "Explaining African Economic Performance," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 64-111, March.
    3. William Easterly & Ross Levine, 1997. "Africa's Growth Tragedy: Policies and Ethnic Divisions," The Quarterly Journal of Economics, Oxford University Press, vol. 112(4), pages 1203-1250.
    4. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    5. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    6. Eiji Yamamura, 2009. "Technology transfer and convergence of performance: an economic study of FIFA football ranking," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 261-266.
    7. Dennis Wilson & Yung-Hsiang Ying, 2003. "Nationality preferences for labour in the international football industry," Applied Economics, Taylor & Francis Journals, vol. 35(14), pages 1551-1559.
    8. Alberto Alesina & Eliana La Ferrara, 2003. "Ethnic Diversity and Economic Performance," Harvard Institute of Economic Research Working Papers 2028, Harvard - Institute of Economic Research.
    9. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
    10. Benno Torgler, 2004. "The Economics of the FIFA Football Worldcup," Kyklos, Wiley Blackwell, vol. 57(2), pages 287-300, May.
    11. Robert Houston & Dennis Wilson, 2002. "Income, leisure and proficiency: an economic study of football performance," Applied Economics Letters, Taylor & Francis Journals, vol. 9(14), pages 939-943.
    12. Martin Schmidt, 2001. "Competition in Major League Baseball: the impact expansion," Applied Economics Letters, Taylor & Francis Journals, vol. 8(1), pages 21-26.
    13. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
    14. Eiji Yamamura, 2008. "Diffusion of home computers and social networks: a study using Japanese panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 15(15), pages 1231-1235.
    15. Robert Hoffmann & Lee Chew Ging & Bala Ramasamy, 2002. "The Socio-Economic Determinants of International Soccer Performance," Journal of Applied Economics, Universidad del CEMA, vol. 5, pages 253-272, November.
    16. Martin B. Schmidt & David J. Berri, 2005. "Concentration of Playing Talent," Journal of Sports Economics, , vol. 6(4), pages 412-419, November.
    17. Tom Coupé, 2007. "Incentives and Bonuses - The Case of the 2006 World Cup," Kyklos, Wiley Blackwell, vol. 60(3), pages 349-358, August.
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    Cited by:

    1. Roberto Gásquez & Vicente Royuela, 2016. "The Determinants of International Football Success: A Panel Data Analysis of the Elo Rating," Social Science Quarterly, Southwestern Social Science Association, vol. 97(2), pages 125-141, June.
    2. Eiji Yamamura, 2016. "Comment on “A Business Analysis of Asian Baseball Leagues”," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 115-116, January.
    3. Berlinschi, Ruxanda & Schokkaert, Jeroen & Swinnen, Johan, 2013. "When drains and gains coincide: Migration and international football performance," Labour Economics, Elsevier, vol. 21(C), pages 1-14.
    4. Yamamura, Eiji, 2008. "The role of social capital in homogeneous society: Review of recent researches in Japan," MPRA Paper 11385, University Library of Munich, Germany.

    More about this item

    Keywords

    FIFA raking; Technology transfer; Linguistic heterogeneity;

    JEL classification:

    • O19 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - International Linkages to Development; Role of International Organizations
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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