IDEAS home Printed from https://ideas.repec.org/p/ags/ucozwp/290114.html

Oligopoly Power in the Food Industries Revisited: A Stochastic Frontier Approach

Author

Listed:
  • Lopez, Rigoberto A.
  • Zheng, Hualu
  • Azzam, Azzeddine

Abstract

Since the late 1980s, the analysis of market power in the food industries has shifted from analyzing market concentration (structure) towards empirically measuring how far a market diverges from perfect competition (conduct). The New Empirical Industrial Organization (NEIO; usually offspring of the work of Appelbaum, 1982, or Bresnahan, 1982) has dominated the food economics literature on market power in the past 25 years (see Kaiser and Suzuki, 2006, for a summary of NEIO applications to food industries) and continues to do so (Cakir and Balagtas, 2012; Hovhannisyan and Gould, 2012; Cleary and Lopez, 2014). NEIO studies, in general, find a significant degree of oligopoly power in the food industries (Bhuyan and Lopez, 1997; Lopez, Azzam and Liron, 2002; Sheldon and Sperling, 2003). This study estimates mark-ups and oligopoly power for U.S. food industries using a stochastic frontier (SF; Kumbhakar, Baardsen and Lien, 2012; Baraigi and Azzam, 2014) approach, where mark-ups are treated as systematic deviations from a marginal cost pricing frontier. We apply the analysis to 36 U.S. food industries using NBER-CES Manufacturing Industry Database (2014), which covers a span of 31 years from 1979 to 2009. Empirical results show that all the food industries in the sample exercise at least some degree of oligopoly power, but most in a moderate manner. The estimated mean Lerner index is approximately 0.06, generally much lower than obtained using the conventional NEIO approaches. The SF model used provides a novel and promising framework to test and measure the degree of market power in agricultural and food markets.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Lopez, Rigoberto A. & Zheng, Hualu & Azzam, Azzeddine, 2015. "Oligopoly Power in the Food Industries Revisited: A Stochastic Frontier Approach," Working Paper series 290114, University of Connecticut, Charles J. Zwick Center for Food and Resource Policy.
    • Handle: RePEc:ags:ucozwp:290114
    DOI: 10.22004/ag.econ.290114
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/290114/files/working_papers_17_2491795227.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.290114?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nguyen Thi Tuoi & Nguyen Phu Son & Pham Le Thong, 2021. "Estimating the Market Power of Traders in the Arabica Coffee Value Chain in Lam Dong, Vietnam," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(3), pages 102-108, 09-2021.
    2. Rahman, Mohammad Chhiddikur, 2020. "Welfare Impact of Asymmetric Price Transmission on Bangladesh Rice Consumers," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 242248.
    3. Dimitrios Panagiotou & Athanassios Stavrakoudis, 2017. "A Stochastic Production Frontier Estimator of the Degree of Oligopsony Power in the U.S. Cattle Industry," Journal of Industry, Competition and Trade, Springer, vol. 17(1), pages 121-133, March.
    4. Dimitrios Panagiotou, 2019. "Market Power Effects of the Livestock Mandatory Reporting Act in the U.S. Meat Industry: a Stochastic Frontier Approach Under Uncertainty," Journal of Industry, Competition and Trade, Springer, vol. 19(1), pages 103-122, March.
    5. Stavrakoudis, Athanassios & Panagiotou, Dimitrios, 2016. "A stochastic frontier estimator of the aggregate degree of market power exerted by the U.S. beef and pork packing industries," MPRA Paper 75997, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ucozwp:290114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fmuctus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.