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Measurement of Collusion in Open Ascending Price Auctions in Agricultural Commodity Markets

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  • Dipankar Das
  • Sanjeev Kapoor

Abstract

This paper derives a method of measuring the degree of collusion among the bidders in an open ascending repetitive price auction in agricultural commodity markets in India. This paper first derives the bidders’ behaviour’s theoretical structure and then a measure of collusion formation. Finally, the degree of the cartel has been computed using time series wholesale price data of potato and onion crops. This research’s findings are helpful for the study of the link between the supply of the agriculture commodity and the degree of collusion. Using the proposed method in this research, if the Agricultural Produce Market Committee (APMC) measures cartel for each market and publish periodically, it will help farmers choose the right market to sell the produce. The farmers would select the market where the degree of collusion is relatively lower. Identifying different small cartel groups at different times with respective to the supply of the agriculture commodity would help avoid the incidence of distress selling by farmers, which is the main hindrance in developing the farming community in India. JEL Classifications: C7,D44,L1,L4,Q1

Suggested Citation

  • Dipankar Das & Sanjeev Kapoor, 2023. "Measurement of Collusion in Open Ascending Price Auctions in Agricultural Commodity Markets," Studies in Microeconomics, , vol. 11(3), pages 340-359, December.
  • Handle: RePEc:sae:miceco:v:11:y:2023:i:3:p:340-359
    DOI: 10.1177/23210222211051443
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    References listed on IDEAS

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    1. A. Banerji & J.V. Meenakshi, 2004. "Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 236-253.
    2. Kenneth Hendricks & Robert H. Porter, 1989. "Collusion in Auctions," Annals of Economics and Statistics, GENES, issue 15-16, pages 217-230.
    3. John Connor, 2005. "Collusion and price dispersion," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 335-338.
    4. Dipankar Das, 2019. "Multilayer of Suppliers Fixed Costs and Spatial Competition in the Upstream Market as a Source of Retailers Buying Power," Studies in Microeconomics, , vol. 7(2), pages 210-226, December.
    5. Che, Yeon-Koo & Condorelli, Daniele & Kim, Jinwoo, 2018. "Weak cartels and collusion-proof auctions," Journal of Economic Theory, Elsevier, vol. 178(C), pages 398-435.
    6. A. Banerji & J.V. Meenakshi, 2004. "Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 86(1), pages 236-253, February.
    7. Krishna, Vijay, 2003. "Asymmetric English auctions," Journal of Economic Theory, Elsevier, vol. 112(2), pages 261-288, October.
    8. Jayson Beckman & David Schimmelpfennig, 2015. "Determinants of farm income," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(3), pages 385-402, September.
    9. Dipankar Das, 2019. "Buyer Market Power and the Model of Vertical Restraints in Agribusiness," International Journal of Sustainable Economies Management (IJSEM), IGI Global Scientific Publishing, vol. 8(2), pages 10-35, April.
    10. repec:adr:anecst:y:1989:i:15-16:p:10 is not listed on IDEAS
    11. Hrabrin Bachev, 2013. "Risk Management in the Agri-food Sector," Contemporary Economics, Vizja University, vol. 7(1), March.
    12. Abhijit Banerjee & Kaivan Munshi, 2004. "How Efficiently is Capital Allocated? Evidence from the Knitted Garment Industry in Tirupur," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 19-42.
    13. Bergemann, Dirk & Wambach, Achim, 2015. "Sequential information disclosure in auctions," Journal of Economic Theory, Elsevier, vol. 159(PB), pages 1074-1095.
    14. Gul, Faruk & Stacchetti, Ennio, 2000. "The English Auction with Differentiated Commodities," Journal of Economic Theory, Elsevier, vol. 92(1), pages 66-95, May.
    15. Baranov, Oleg, 2018. "An efficient ascending auction for private valuations," Journal of Economic Theory, Elsevier, vol. 177(C), pages 495-517.
    16. Madhavan, Ananth N & Masson, Robert T & Lesser, William H, 1994. "Cooperation for Monopolization? An Empirical Analysis of Cartelization," The Review of Economics and Statistics, MIT Press, vol. 76(1), pages 161-175, February.
    17. Jayson Beckman & David Schimmelpfennig, 2015. "Determinants of farm income," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(3), pages 385-402, September.
    18. Robert C. Marshall & Leslie M. Marx, 2009. "The Vulnerability of Auctions to Bidder Collusion," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 883-910.
    19. Martin Pesendorfer, 2000. "A Study of Collusion in First-Price Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 381-411.
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    Keywords

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    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L4 - Industrial Organization - - Antitrust Issues and Policies
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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