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Food Protection for Sale

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  • Rigoberto A. Lopez

    (University of Connecticut)

  • Xenia Matschke

    (University of Connecticut)

Abstract

This article tests the Protection for Sale (PFS) model using detailed data from U.S. food processing industries from 1978 to 1992 under alternative import demand specifications. All empirical results support the PFS model predictions and previous empirical work qualitatively. Although welfare weights are very sensitive to import demand specification, a surprising result is that we obtain weights between 2.6 and 3.6 for domestic welfare using import slopes or elasticities derived from domestic demand and supply functions. In contrast, results based on import slopes or elasticities from directly specified import demands (including the Armington model) yield the usual, unrealistically large estimates for the domestic welfare weight. We contend that the latter empirical paradox arises mainly because the explanatory variables tend to be extremely large for industries with low import ratios and/or low estimated elasticities or slopes resulting from relatively volatile import prices. The results with derived import parameters point to a much stronger role of campaign contributions within the PFS model than previously found. They also suggest that the commonly-used Armington estimates may not be appropriate for estimating the PFS model.

Suggested Citation

  • Rigoberto A. Lopez & Xenia Matschke, 2005. "Food Protection for Sale," Working papers 2005-13, University of Connecticut, Department of Economics, revised Nov 2005.
  • Handle: RePEc:uct:uconnp:2005-13
    Note: Do not quote without permission. Funding from the CSREES Special Grant No. 2004-34178-13469 via the Food Marketing Policy Center and the Storrs Agricultural Experiment Station is gratefully acknowledged. The content of the paper, however, is the sole responsibility of the authors.
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    1. Kishore Gawande & Usree Bandyopadhyay, 2000. "Is Protection for Sale? Evidence on the Grossman-Helpman Theory of Endogenous Protection," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 139-152, February.
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    4. Devashish Mitra & Dimitrios D. Thomakos & Mehmet A. Ulubaşoğlu, 2016. "“Protection For Sale” In A Developing Country: Democracy Vs. Dictatorship," World Scientific Book Chapters, in: The Political Economy of Trade Policy Theory, Evidence and Applications, chapter 9, pages 163-174, World Scientific Publishing Co. Pte. Ltd..
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    6. Rigoberto A. Lopez, 2001. "Campaign Contributions and Agricultural Subsidies," Economics and Politics, Wiley Blackwell, vol. 13(3), pages 257-279, November.
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    11. Elena Lopez & Emilio Pagoulatos, 2002. "Estimates and Determinants of Armington Elasticities for the U.S. Food Industry," Journal of Industry, Competition and Trade, Springer, vol. 2(3), pages 247-258, September.
    12. Giovanni Maggi & Pinelopi Koujianou Goldberg, 1999. "Protection for Sale: An Empirical Investigation," American Economic Review, American Economic Association, vol. 89(5), pages 1135-1155, December.
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    16. Gallaway, Michael P. & McDaniel, Christine A. & Rivera, Sandra A., 2003. "Short-run and long-run industry-level estimates of U.S. Armington elasticities," The North American Journal of Economics and Finance, Elsevier, vol. 14(1), pages 49-68, March.
    17. Devashish Mitra, 2016. "Endogenous Lobby Formation and Endogenous Protection: A Long-Run Model of Trade Policy Determination," World Scientific Book Chapters, in: The Political Economy of Trade Policy Theory, Evidence and Applications, chapter 1, pages 3-21, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Yoto V. Yotov, 2010. "Trade‐Induced Unemployment: How Much Do We Care?," Review of International Economics, Wiley Blackwell, vol. 18(5), pages 972-989, November.
    2. repec:lic:licosd:32312 is not listed on IDEAS
    3. Anne-Célia Disdier & Frank van Tongeren, 2010. "Non-Tariff Measures in Agri-Food Trade: What Do the Data Tell Us? Evidence from a Cluster Analysis on OECD Imports," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(3), pages 436-455.
    4. Matschke, Xenia, 2008. "Costly revenue-raising and the case for favoring import-competing industries," Journal of International Economics, Elsevier, vol. 74(1), pages 143-157, January.
    5. repec:bla:ecinqu:v:51:y:2013:i:3:p:1867-1885 is not listed on IDEAS
    6. Kym Anderson & Gordon Rausser & Johan Swinnen, 2013. "Political Economy of Public Policies: Insights from Distortions to Agricultural and Food Markets," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 423-477, June.
    7. Changyuan Luo & Jun Zhang, 2010. "China Trade Policy Review: A Political Economy Approach," The World Economy, Wiley Blackwell, vol. 33(11), pages 1390-1413, November.
    8. Stephen Devadoss & Jeff Luckstead, 2020. "US–Brazilian cotton policies," The World Economy, Wiley Blackwell, vol. 43(8), pages 2222-2236, August.
    9. Per G. Fredriksson & Khawaja A. Mamun, 2014. "Tobacco Politics and Electoral Accountability in the United States," Public Finance Review, , vol. 42(1), pages 4-34, January.
    10. Etienne Farvaque & Gael Lagadec, 2009. "Electoral Control when Policies are for Sale," CESifo Working Paper Series 2522, CESifo.
    11. repec:ags:aaea22:335549 is not listed on IDEAS
    12. Stephen Devadoss & Elijah Kosse, 2020. "Political economy of the US–Mexican tomato trade agreement," The World Economy, Wiley Blackwell, vol. 43(4), pages 1059-1075, April.
    13. repec:lic:licosd:27611 is not listed on IDEAS

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    More about this item

    Keywords

    Trade protection; tariffs; lobbying; political economy; food manufacturing;
    All these keywords.

    JEL classification:

    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F1 - International Economics - - Trade
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

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