IDEAS home Printed from https://ideas.repec.org/p/ags/aaea15/205113.html
   My bibliography  Save this paper

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.

Suggested Citation

  • Lopez, Rigoberto A. & Zheng, Hualu & Azzam, Azzeddine, 2015. "Oligopoly Power in the Food Industries Revisited: A Stochastic Frontier Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205113, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea15:205113
    DOI: 10.22004/ag.econ.205113
    as

    Download full text from publisher

    File URL: http://ageconsearch.umn.edu/record/205113/files/Oligopoly%20Power%20in%20Food%20Industry_Lopez%20Zheng%20Azzam.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Metin Cakir & Joseph V. Balagtas, 2012. "Estimating Market Power of U.S. Dairy Cooperatives in the Fluid Milk Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(3), pages 647-658.
    2. A. M. Azzam & E. Pagoulatos, 1990. "Testing Oligopolistic And Oligopsonistic Behaviour: An Application To The Us Meat‐Packing Industry," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(3), pages 362-370, September.
    3. Schroeter, John R, 1988. "Estimating the Degree of Market Power in the Beef Packing Industry," The Review of Economics and Statistics, MIT Press, vol. 70(1), pages 158-162, February.
    4. Subir Bairagi & Azzeddine Azzam, 2014. "Does the Grameen Bank exert market power over borrowers?," Applied Economics Letters, Taylor & Francis Journals, vol. 21(12), pages 866-869, August.
    5. Subal Kumbhakar & Sjur Baardsen & Gudbrand Lien, 2012. "A New Method for Estimating Market Power with an Application to Norwegian Sawmilling," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(2), pages 109-129, March.
    6. Bresnahan, Timothy F., 1982. "The oligopoly solution concept is identified," Economics Letters, Elsevier, vol. 10(1-2), pages 87-92.
    7. Sanjib Bhuyan & Rigoberto A. Lopez, 1997. "Oligopoly Power in the Food and Tobacco Industries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1035-1043.
    8. Vardges Hovhannisyan & Brian W. Gould, 2012. "A Structural Model of the Analysis of Retail Market Power: The Case of Fluid Milk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 67-79.
    9. Rigoberto Lopez & Azzeddine Azzam & Carmen Lirón-España, 2002. "Market Power and/or Efficiency: A Structural Approach," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 20(2), pages 115-126, March.
    10. Appelbaum, Elie, 1982. "The estimation of the degree of oligopoly power," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 287-299, August.
    11. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    12. Ian Sheldon & Richard Sperling, 2003. "Estimating the Extent of Imperfect Competition in the Food Industry: What Have We Learned?," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(1), pages 89-109, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Agricultural and Food Policy; Industrial Organization;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaea15:205113. See general information about how to correct material in RePEc.

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

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.