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Potere della distribuzione moderna nelle filiere agroalimentari: il caso dell?olio d?oliva in Italia

Author

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  • Roberto Furesi
  • Fabio A. Madau
  • Pietro Pulina

Abstract

This paper aims to carry out a first-pass estimation of the power wielded by large-scale retail organisations in the Italian agri-food system, by using the olive oil supply chain as a representative case study. An econometric price transmission model suggests that farmers suffer from big retail?s market power in the olive oil sector. Nevertheless, the increasing power of modern distribution companies in the agro-food supply chain depends on several economic, institutional and policy factors. This is a multi-faceted issue which makes us take into account not only economic but also social, policy, psychological and behavioral aspects too. This complexity can be handled using different empirical approaches: among these approaches, we explore the potential benefits of the so-called "economic-political" framework. From this approach a complex empirical estimation of power presence cannot be discounted.

Suggested Citation

  • Roberto Furesi & Fabio A. Madau & Pietro Pulina, 2013. "Potere della distribuzione moderna nelle filiere agroalimentari: il caso dell?olio d?oliva in Italia," Economia agro-alimentare, FrancoAngeli Editore, vol. 15(1), pages 123-143.
    • Handle: RePEc:fan:ecaqec:v:html10.3280/ecag2013-001006
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    References listed on IDEAS

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    1. Bruce L. Gardner, 1975. "The Farm-Retail Price Spread in a Competitive Food Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(3), pages 399-409.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. S. McCorriston & C. W. Morgan & A. J. Rayner, 1998. "Processing Technology, Market Power and Price Transmission," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(2), pages 185-201, June.
    4. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    5. Lloyd Tim & McCorriston Steve & Morgan Wyn & Rayner Anthony & Weldegebriel Habtu, 2009. "Buyer Power in U.K. Food Retailing: A 'First-Pass' Test," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 7(1), pages 1-40, May.
    6. S McCorriston & CW Morgan & AJ Rayner, 2001. "Price transmission: the interaction between market power and returns to scale," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(2), pages 143-159, June.
    7. Lloyd, Tim A. & McCorriston, Steve & Morgan, C. Wyn & Rayner, Anthony J. & Weldegebriel, Habtu T., 2006. "Market Power in UK Food Retailing: Theory and Evidence from Seven Product Groups," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25712, International Association of Agricultural Economists.
    8. Williamson, Oliver E, 1994. "Visible and Invisible Governance," American Economic Review, American Economic Association, vol. 84(2), pages 323-326, May.
    9. Monika Hartmann, 2011. "Corporate social responsibility in the food sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(3), pages 297-324, August.
    10. Arturo Casieri & Bernardo De Gennaro & Umberto Medicamento & Luigi Roselli, 2009. "Capitale sociale e performance economica: un?applicazione al sistema di produzione dell?olio extra-vergine di oliva biologico della provincia di Bari," Economia agro-alimentare, FrancoAngeli Editore, vol. 11(1), pages 7-23.
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    Cited by:

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    More about this item

    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
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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