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Market Power in International Commodity Processing Chains: Preliminary Results from the Coffee Market

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  • Ben Shepherd

    (Groupe d'Économie Mondiale)

Abstract

Vector autoregressions are used to model price transmission through the coffee processing chain, from producers to the world market and from the world market to consumers. A comparison is made of price dynamics against a backdrop of two very different market structures: pre-1989, producers exerted market power through export quotas and state- controlled marketing channels; post-1989, government interventions are minimal, but private actors at intermediary, processing and retailing levels have become quite concentrated. Interestingly, the analysis shows that liberalisation has not improved price transmission as significantly as expected and in some respects appears to have worsened it noticeably. One possible explanation is market power amongst private actors at intermediate levels in the processing chain.

Suggested Citation

  • Ben Shepherd, 2005. "Market Power in International Commodity Processing Chains: Preliminary Results from the Coffee Market," International Trade 0511013, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpit:0511013
    Note: Type of Document - pdf; pages: 38
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Lee, Jun & Gomez, Miguel I., 2011. "Impacts of the End of the Coffee Export Quota System on International-to-Retail Price Transmission," Working Papers 126600, Cornell University, Department of Applied Economics and Management.
    2. Jun Lee & Miguel I. Gómez, 2013. "Impacts of the End of the Coffee Export Quota System on International-to-Retail Price Transmission," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 343-362, June.
    3. Mehta, Aashish & Chavas, Jean-Paul, 2008. "Responding to the coffee crisis: What can we learn from price dynamics?," Journal of Development Economics, Elsevier, vol. 85(1-2), pages 282-311, February.
    4. Atanu Ghoshray & Sushil Mohan, 2021. "Coffee price dynamics: an analysis of the retail-international price margin [Commodity dependence and development: suggestions to tackle the commodities problem]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(4), pages 983-1006.
    5. Subervie, Julie, 2011. "Producer price adjustment to commodity price shocks: An application of threshold cointegration," Economic Modelling, Elsevier, vol. 28(5), pages 2239-2246, September.

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    More about this item

    Keywords

    Vector Autoregression; Market Power; International Trade; Commodity Market Liberalisation; Coffee.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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