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Market Power and Price Competition in the Italian Wine Market

Author

Listed:
  • Antonio Stasi

    (University of Foggia)

  • Antonio Seccia

    (University of Bari)

  • Gianluca Nardone

    (University of Foggia)

Abstract

The analysis explores the Italian wine sector and provides information on the industry structure and its conduct in terms of market power and price competition. In order to depict pricing behavior and market power measures, the Bertrand-Nash equilibrium is estimated through brand-level demand relative to the first 9 wine brands in terms of market share. The method used consists of a censored QUAIDS, chosen for its exibility. The results consist of demand price responsiveness and product sostituibility measures. Estimates allow the calculation of Lerner Indexes for each brand as well as mark-ups, the ability of a firm to push its prices above marginal costs. With those measures, policy and industry implications are drawn in terms of targeted actions in order to increase consumers' welfare and brand loyalty indicators. --- L'analyse explore le secteur du vin italien et fournit des informations sur la structure de l'industrie et son comportement en termes de forces du marché et de concurrence des prix. Dans le but de décrire le comportement des prix et de mesurer les forces du marché, l'équilibre Bertrand-Nash est estimé à travers le niveau de demande des neuf premières marques de vin en parts de marché. La méthode utilisée est une QUAIDS censurée, retenue pour sa exibilité. Les résultats mesurent la réactivité de la demande aux prix et au possible remplacement d'un produit par un autre. Les estimations permettent de calculer les Index Lerner pour chaque marque, ainsi que les capacités de majorations, conçues comme la possibilité pour une entreprise de pousser son prix au-dessus des côuts marginaux. On peut ainsi mesurer les implications pour les politiques et pour l'industrie, en termes d'actions ciblées destinées à accroître le bien-être des consommateurs et les indices de délité à la marque.

Suggested Citation

  • Antonio Stasi & Antonio Seccia & Gianluca Nardone, . "Market Power and Price Competition in the Italian Wine Market," Enometrica, Enometrica - Review of the Vineyard Data Quantification Society (VDQS) and the European Association of Wine Economists (EuAWE) - Macerata University, Faculty of Communications.
  • Handle: RePEc:mcr:jenome:wpaper00020
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    Citations

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    Cited by:

    1. Jana Katunar & Vinko Zaninovic & Hrvoje Katunar, 2021. "Macroeconomic Determinants Of Wine Production In The European Union," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 30(1), pages 43-55, june.
    2. Stefan Hirsch & Giulia Tiboldo & Rigoberto A. Lopez, 2018. "A tale of two Italian cities: brand-level milk demand and price competition," Applied Economics, Taylor & Francis Journals, vol. 50(49), pages 5239-5252, October.
    3. Antonis Michis & Anna Markidou, 2013. "Determinants of retail wine prices: evidence from Cyprus," Empirical Economics, Springer, vol. 45(1), pages 267-280, August.
    4. Tiboldo, Giulia & Lopez, Rigoberto & Hirsch, Stefan, 2016. "Private label market power: evidence from Italian dairy retailing," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235592, Agricultural and Applied Economics Association.
    5. Carter, Elizabeth, 2015. "Constructing quality: Producer power, market organization, and the politics of high value-added markets," MPIfG Discussion Paper 15/9, Max Planck Institute for the Study of Societies.

    More about this item

    Keywords

    Prices; QUAIDS; Italy; wine market;
    All these keywords.

    JEL classification:

    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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