A Stochastic Frontier Analysis Approach for Estimating Market Power in the Major US Meat Export Markets

  • Dimitrios PanagiotouEmail author
  • Athanassios Stavrakoudis


The present study estimates the degree of market power in the major US beef and pork export destinations. The recently developed stochastic frontier (SF) estimator is used. Estimations of market and time-specific Lerner indices are provided. Balanced panel data between 1980 and 2011 were employed. The average Lerner index is 39% for the US beef exports and is the highest in the markets of ASEAN, Hong Kong/China, Japan, South Korea, and Taiwan. For the US pork exports, the average Lerner index is 16% and is the highest in the markets of Mexico and Taiwan.


Stochastic frontier Market power U.S. meat exports 

JEL Classification

D21 L22 L66 


Supplementary material

10842_2019_319_MOESM1_ESM.pdf (87 kb)
(PDF 87.1 KB)


  1. Arnade C, Pick D, Gopinath M (1998) Testing oligopoly power in domestic and export markets. Appl Econ 30(6):753–760CrossRefGoogle Scholar
  2. Baltagi BH (2013) Econometric analysis of panel data, 5th edn. Wiley, New YorkGoogle Scholar
  3. Coelli T, Henningsen A (2013) Frontier: stochastic frontier analysis. Available at:
  4. Felt M-H, Gervais J-P, Larue B (2011) Market power and import bans: the case of Japanese pork imports. Agribusiness 27(1):47–61CrossRefGoogle Scholar
  5. Henneberry SR, Mutondo JE (2009) Agricultural trade among NAFTA countries: a case study of US meat exports. Review Agricultural Econ 31(3):424–445CrossRefGoogle Scholar
  6. Kumbhakar SC, Baardsen S, Lien G (2012) A new method for estimating market power with an application to Norwegian sawmilling. Review of Industrial Organization 40(2):109–129CrossRefGoogle Scholar
  7. Kumbhakar SC, Lovell CK (2003) Stochastic frontier analysis. Cambridge University Press, CambridgeGoogle Scholar
  8. Lopez RA, He X, Azzam A (2018) Stochastic frontier estimation of market power in the food industries. J Agricultural Econ 69(1):3–17CrossRefGoogle Scholar
  9. Miljkovic D, Marsh JM, Brester GW (2002) Japanese import demand for US beef and pork: effects on US red meat exports and livestock prices. J Agricultural Appl Econ 34(3):501–512CrossRefGoogle Scholar
  10. Miljkovic D, Brester GW, Marsh JM (2003) Exchange rate pass-through, price discrimination, and US meat export prices. Appl Econ 35(6):641–650CrossRefGoogle Scholar
  11. National Bureau of Economic Research–Manufacturing Industry Database (2017) NBER-CES Manufacturing Industry Database. Available at: –Accessed Sept 2017
  12. Norwood FB, Lusk JL (2018) Agricultural marketing and price analysis. Waveland Press, Long GroveGoogle Scholar
  13. Panagiotou D (2008) Trade bans, imperfect competition and welfare: BSE and the US beef industry. ETD collection for University of Nebraska - Lincoln. AAI3315057. Available at:
  14. Panagiotou D (2018) Collusion-enhancing effects of the own-and cross-price demand elasticities in merging multiproduct food industries: the case of chicken and red meat in the United States. Outlook on Agriculture 47(3):223–232CrossRefGoogle Scholar
  15. Panagiotou D (2019) Market power effects of the livestock mandatory reporting act in the US meat industry: a stochastic frontier approach under uncertainty. J Industry Compet Trade 19(1):103–122CrossRefGoogle Scholar
  16. Panagiotou D, Azzam AM (2010) Trade bans, imperfect competition, and welfare: Bse and the US beef industry. Canadian Journal of Agricultural Economics/Revue canadienne d’agroeconomie 58(1):109–129CrossRefGoogle Scholar
  17. Panagiotou D, Stavrakoudis A (2017) A stochastic production frontier estimator of the degree of oligopsony power in the US cattle industry. J Industry Compet Trade 17(1):121–133CrossRefGoogle Scholar
  18. Panagiotou D, Stavrakoudis A (2018) A stochastic frontier estimator of the aggregate degree of market power exerted by the US meat packing industry. J Industrial Business Econ 45(3):387–401Google Scholar
  19. Plain R (2014) Economic impact of U.S. pork trade, 1986-2014. Available at: Working paper, University of Missouri-Columbia Accessed November, Accessed November 2017
  20. R Core T (2017) R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2014Google Scholar
  21. Reed M, Iswariyardi A (2001) Competitive forces in the Japanese beef market. In: Annual meeting of the international agricultural trade research consortium (IATRC), Auckland, New ZealandGoogle Scholar
  22. Reed MR, Saghaian SH (2004) Measuring the intensity of competition in the Japanese beef market. J Agricultural Appl Econ 36(1):113–121CrossRefGoogle Scholar
  23. Scalco PR, Lopez RA, He X (2017) Buyer and/or seller power? An application to the Brazilian milk market. Appl Econ Lett 24(16):1173–1176CrossRefGoogle Scholar
  24. United States Department of Agriculture – Economic Research Service (2017) Livestock and meat international trade data. Available at: Accessed Sept 2017
  25. United States Department of Agriculture – Foreign Agricultural Service (2017) Global agricultural trade system. Available at: Accessed Oct 2017
  26. U.S. Meat Export Federation (2017) Statistics and trade access-export statistics. Available at: Accessed Sept 2017
  27. U.S. Meat Export Federation (2019) Statistics and trade access-export statistics. Available at: Accessed July 2019

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of IoanninaIoanninaGreece

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