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Collusion in the Indian Tea Industry in the Great Depression : An Analysis of Panel Data

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  • Gupta, B.

    (Tilburg University, School of Economics and Management)

Abstract

This paper analyzes the effectiveness of the control schemes in the Indian tea industry during the Great Depression, whereby producers attempted to collude by reducing output. Analysis of data from a panel of plantations shows that collusion was effective. We suggest that the system of management of plantations by "managing agents" enhanced the degree of monopoly in the industry, thereby facilitating collusion. The social cohesiveness of expatriate business may have also contributed to the enforcement of collusion.
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  • Gupta, B., 1995. "Collusion in the Indian Tea Industry in the Great Depression : An Analysis of Panel Data," Other publications TiSEM 7e9044af-cee6-4132-8a22-c, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:7e9044af-cee6-4132-8a22-cfd193d8e258
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    Cited by:

    1. Natalie J. Langford, 2021. "From Global to Local Tea Markets: The Changing Political Economy of Tea Production within India's Domestic Value Chain," Development and Change, International Institute of Social Studies, vol. 52(6), pages 1445-1472, November.
    2. Gil Montant, 2007. "Northern French coal companies’ performances in 1935-45: a panel data analysis," Working Papers 7024, Economic History Society.
    3. John M. Connor, 2003. "Private International Cartels: Effectiveness, Welfare, and Anticartel Enforcement," Working Papers 03-12, Purdue University, College of Agriculture, Department of Agricultural Economics.
    4. Margaret C. Levenstein & Valerie Y. Suslow, 2002. "What Determines Cartel Success?," UMASS Amherst Economics Working Papers 2002-01, University of Massachusetts Amherst, Department of Economics.
    5. Goppelsroeder, Marie, 2009. "Entry in Collusive Markets: An Experimental Study," MPRA Paper 14707, University Library of Munich, Germany.
    6. de Roos, Nicolas, 2004. "A model of collusion timing," International Journal of Industrial Organization, Elsevier, vol. 22(3), pages 351-387, March.

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