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Hyper-elites and network: Capturing the powerful upper tail in Madagascar

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  • Razafindrakoto, Mireille
  • Roubaud, François
  • Rua, Linda

Abstract

In order to gain an understanding of howelitesaffect thedevelopment process, one of the first challenges is to investigate who are the elites and how do they access positions of power. The characteristics of the hyper-elites network and how it impacts on the distribution of power may constitute a key determining factor of the political equilibrium and the economic trajectory of a country. This article shows first the relevance of data from a first-hand statistical survey designed to be representative of the hyper-elites in Madagascar. This survey managed to capture in a comprehensive manner the pathways and the social networks of ‘elites’. The latter are defined as those who hold or have held top positions and/or have a level of responsibility in nine different spheres of power (political [governmental, elective and partisan], economic, religious, military, civil society, international organisation and public institution). Our empirical approach focused on social capital, instead of income or wealth, provides an innovative way to apprehend and to study in its entirety and nationwide how “the powerful upper tail” functions. Drawing on this unique dataset of 1000 hyper-elites, we show to what extent position of power is associated to four key elite network dimensions: size, quality, diversity of contacts and strength of ties. More specifically, the quality and diversity of ties are among the most relevant determinants of access to positions of power. Our analysis sheds light on the hyper-elite strategy of network building to “keep themselves to themselves” and on the importance attached to casts and other inherited positions. It explains the limited social mobility and the huge gap between the elites and the majority of the population, which are among the causes of Madagascar’s recession.

Suggested Citation

  • Razafindrakoto, Mireille & Roubaud, François & Rua, Linda, 2021. "Hyper-elites and network: Capturing the powerful upper tail in Madagascar," World Development, Elsevier, vol. 147(C).
  • Handle: RePEc:eee:wdevel:v:147:y:2021:i:c:s0305750x21002709
    DOI: 10.1016/j.worlddev.2021.105655
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    1. Marcel Fafchamps & Simon Quinn, 2018. "Networks and Manufacturing Firms in Africa: Results from a Randomized Field Experiment," The World Bank Economic Review, World Bank, vol. 32(3), pages 656-675.
    2. Guo Xu, 2018. "The Costs of Patronage: Evidence from the British Empire," American Economic Review, American Economic Association, vol. 108(11), pages 3170-3198, November.
    3. Thomas Piketty, 2005. "Top Income Shares in the Long Run: An Overview," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 382-392, 04/05.
    4. Francis Kramarz & David Thesmar, 2013. "Social Networks In The Boardroom," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 780-807, August.
    5. Bet Caeyers & Stefan Dercon, 2012. "Political Connections and Social Networks in Targeted Transfer Programs: Evidence from Rural Ethiopia," Economic Development and Cultural Change, University of Chicago Press, vol. 60(4), pages 639-675.
    6. Bob Rijkersb & Hassen Arouri & Leila Baghdadi, 2017. "Are Politically Connected Firms More Likely to Evade Taxes? Evidence from Tunisia," The World Bank Economic Review, World Bank, vol. 30(Supplemen), pages 166-175.
    7. François Bourguignon & Thierry Verdier, 2010. "The Simple Analytics of Elite Behaviour Under Limited State Capacity," WIDER Working Paper Series wp-2010-104, World Institute for Development Economic Research (UNU-WIDER).
    8. Kashwan, Prakash & MacLean, Lauren M. & García-López, Gustavo A., 2019. "Rethinking power and institutions in the shadows of neoliberalism," World Development, Elsevier, vol. 120(C), pages 133-146.
    9. North,Douglass C. & Wallis,John Joseph & Weingast,Barry R., 2013. "Violence and Social Orders," Cambridge Books, Cambridge University Press, number 9781107646995, January.
    10. Michele Pellizzari, 2010. "Do Friends and Relatives Really Help in Getting a Good Job?," ILR Review, Cornell University, ILR School, vol. 63(3), pages 494-510, April.
    11. Francis Kramarz & David Thesmar, 2013. "Social Networks In The Boardroom," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 780-807, August.
    12. Jean-Philippe Berrou & François Combarnous, 2011. "Testing Lin's Social Capital Theory in an Informal African Urban Economy," Journal of Development Studies, Taylor & Francis Journals, vol. 47(8), pages 1216-1240, June.
    13. Amsden, the late Alice H. & DiCaprio, Alisa & Robinson, James A. (ed.), 2012. "The Role of Elites in Economic Development," OUP Catalogue, Oxford University Press, number 9780199659036, Decembrie.
    14. Jean-Philippe Berrou & François Combarnous, 2011. "Testing Lin's Social Capital Theory in an Informal African Urban Economy," Journal of Development Studies, Taylor & Francis Journals, vol. 47(8), pages 1216-1240, June.
    15. Anand, Sudhir & Segal, Paul, 2017. "Who Are the Global Top 1%?," World Development, Elsevier, vol. 95(C), pages 111-126.
    16. Anand, Sudhir & Segal, Paul, 2017. "Who are the global top 1%?," LSE Research Online Documents on Economics 101816, London School of Economics and Political Science, LSE Library.
    17. Linda Datcher Loury, 2006. "Some Contacts Are More Equal than Others: Informal Networks, Job Tenure, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 299-318, April.
    18. Razafindrakoto,Mireille & Roubaud,François & Wachsberger,Jean-Michel, 2020. "Puzzle and Paradox," Cambridge Books, Cambridge University Press, number 9781108488334.
    19. Tassier, Troy & Menczer, Filippo, 2008. "Social network structure, segregation, and equality in a labor market with referral hiring," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 514-528, June.
    20. Simon, Curtis J & Warner, John T, 1992. "Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 306-330, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Elite; Power; Madagascar; Statistical survey; Social network;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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