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Agricultural trade distortions during recent international price spikes: what implications for food security?

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  • Magrini, Emiliano
  • Montalbano, Pierluigi
  • Nenci, Silvia
  • Salvatici, Luca

Abstract

The aim of this paper is to assess the causal impact of trade policy distortions on food security. This is an hot issue since restrictions to agricultural trade have been generally applied by national governments, especially in developing countries, as a tool to insulate domestic markets from international prices turmoil. The added value of this work is twofold: i) the use of a non parametric matching technique with continuous treatment, namely the Generalised Propensity Score (GPS) to address the self selection bias; ii) the analysis of heterogeneity in treatment (by commodities) as well as in outcome (i.e., different dimensions of food security). The outcomes of our estimates show clearly that trade policy distortions are, overall, significantly correlated with the various dimensions of food security under analysis. Specifically, countries supporting the primary sector tend to be better off in all the dimensions of food security (food availability, access, utilisation and stability. However, the maximum level of food security is associated with moderate protection policies.

Suggested Citation

  • Magrini, Emiliano & Montalbano, Pierluigi & Nenci, Silvia & Salvatici, Luca, 2014. "Agricultural trade distortions during recent international price spikes: what implications for food security?," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182726, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae14:182726
    DOI: 10.22004/ag.econ.182726
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    1. Smith, Lisa C. & Naiken, Logan, 1998. "Can FAO's measure of chronic undernourishment be strengthened?," FCND discussion papers 44, International Food Policy Research Institute (IFPRI).
    2. Uzma Iram & Muhammad S. Butt, 2004. "Determinants of household food security: An empirical analysis for Pakistan," International Journal of Social Economics, Emerald Group Publishing, vol. 31(8), pages 753-766, July.
    3. Garrett, James L. & Ruel, Marie T., 1999. "Are Determinants of Rural and Urban Food Security and Nutritional Status Different? Some Insights from Mozambique," World Development, Elsevier, vol. 27(11), pages 1955-1975, November.
    4. Pangaribowo, Evita Hanie & Gerber, Nicolas & Torero, Maximo, 2013. "Food and Nutrition Security Indicators: A Review," Working Papers 147911, University of Bonn, Center for Development Research (ZEF).
    5. Smith, Lisa C., 1998. "Can FAO's measure of chronic undernourishment be strengthened?," Food Policy, Elsevier, vol. 23(5), pages 425-445, October.
    6. Johan F.M. Swinnen, 2010. "The Political Economy of Agricultural and Food Policies: Recent Contributions, New Insights, and Areas for Further Research," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(1), pages 33-58.
    7. Diaz-Bonilla, Eugenio & Robinson, Sherman & Thomas, Marcelle, 2002. "On boxes, contents, and users: Food security and the WTO negotiations," TMD discussion papers 82, International Food Policy Research Institute (IFPRI).
    8. Spiros Bougheas & Douglas R. Nelson, 2012. "Skilled Worker Migration and Trade: Inequality and Welfare," The World Economy, Wiley Blackwell, vol. 35(2), pages 197-215, February.
    9. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    10. Becker, Sascha O. & Egger, Peter H. & von Ehrlich, Maximilian, 2012. "Too much of a good thing? On the growth effects of the EU's regional policy," European Economic Review, Elsevier, vol. 56(4), pages 648-668.
    11. Carlo Cafiero, 2013. "What do we Really Know about Food Security?," NBER Working Papers 18861, National Bureau of Economic Research, Inc.
    12. Will Martin & Kym Anderson, 2012. "Export Restrictions and Price Insulation During Commodity Price Booms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 422-427.
    13. Norman V. Loayza & Romain Rancière & Luis Servén & Jaume Ventura, 2007. "Macroeconomic Volatility and Welfare in Developing Countries: An Introduction," The World Bank Economic Review, World Bank, vol. 21(3), pages 343-357, October.
    14. Anderson, Kym & Nelgen, Signe, 2012. "Trade Barrier Volatility and Agricultural Price Stabilization," World Development, Elsevier, vol. 40(1), pages 36-48.
    15. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," IZA Discussion Papers 3255, Institute of Labor Economics (IZA).
    16. Peter J. Lloyd & Johanna L. Croser & Kym Anderson, 2010. "Global Distortions to Agricultural Markets: Indicators of Trade and Welfare Impacts, 1960 to 2007," Review of Development Economics, Wiley Blackwell, vol. 14(2), pages 141-160, May.
    17. M. Huchet Bourdon & C. Laroche Dupraz, 2014. "National food security: a framework for public policy and international trade," FOODSECURE Working papers 17, LEI Wageningen UR.
    18. Jun Du & Sourafel Girma, 2009. "The Effects of Foreign Acquisition on Domestic and Export Markets Dynamics in China," The World Economy, Wiley Blackwell, vol. 32(1), pages 164-177, January.
    19. Maria Cipollina & Luca Salvatici, 2008. "Measuring Protection: Mission Impossible?," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 577-616, July.
    20. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    21. Rutten, Martine & Shutes, Lindsay & Meijerink, Gerdien, 2013. "Sit down at the ball game: How trade barriers make the world less food secure," Food Policy, Elsevier, vol. 38(C), pages 1-10.
    22. Alex F. McCalla, 2009. "World Food Prices: Causes and Consequences," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(1), pages 23-34, March.
    23. Kluve, Jochen, 2010. "The effectiveness of European active labor market programs," Labour Economics, Elsevier, vol. 17(6), pages 904-918, December.
    24. Kym Anderson & Maros Ivanic & William J. Martin, 2014. "Food Price Spikes, Price Insulation, and Poverty," NBER Chapters, in: The Economics of Food Price Volatility, pages 311-339, National Bureau of Economic Research, Inc.
    25. Garrett, James L. & Ruel, Marie T., 1999. "Are determinants of rural and urban food security and nutritional status different?," FCND discussion papers 65, International Food Policy Research Institute (IFPRI).
    26. Caballero, Ricardo J, 1991. "On the Sign of the Investment-Uncertainty Relationship," American Economic Review, American Economic Association, vol. 81(1), pages 279-288, March.
    27. Shiferaw T. Feleke & Richard L. Kilmer & Christina H. Gladwin, 2005. "Determinants of food security in Southern Ethiopia at the household level," Agricultural Economics, International Association of Agricultural Economists, vol. 33(3), pages 351-363, November.
    28. Serrano-Domingo, Guadalupe & Requena-Silvente, Francisco, 2013. "Re-examining the migration–trade link using province data: An application of the generalized propensity score," Economic Modelling, Elsevier, vol. 32(C), pages 247-261.
    29. Montalbano, Pierluigi, 2011. "Trade Openness and Developing Countries' Vulnerability: Concepts, Misconceptions, and Directions for Research," World Development, Elsevier, vol. 39(9), pages 1489-1502, September.
    30. Götz, Linde & Glauben, Thomas & Brümmer, Bernhard, 2013. "Wheat export restrictions and domestic market effects in Russia and Ukraine during the food crisis," Food Policy, Elsevier, vol. 38(C), pages 214-226.
    31. Kym Anderson, 2010. "Global Distortions to Agricultural Markets: New Indicators of Trade and Welfare Impacts, 1960 to 2007," Centre for International Economic Studies Working Papers 2010-03, University of Adelaide, Centre for International Economic Studies.
    32. Emiliano Magrini & Pierluigi Montalbano & Silvia Nenci, 2013. "Are the EU trade preferences really effective? A Generalized Propensity Score evaluation of the Southern Mediterranean Countries' case in agriculture and fishery," Working Papers 2/13, Sapienza University of Rome, DISS.
    33. Anderson,Kym (ed.), 2013. "The Political Economy of Agricultural Price Distortions," Cambridge Books, Cambridge University Press, number 9781107616271.
    34. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    35. Peter H. Egger & Maximilian von Ehrlich & Douglas R. Nelson, 2012. "Migration and Trade," The World Economy, Wiley Blackwell, vol. 35(2), pages 216-241, February.
    36. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    37. Guiseppe Bertola & Ricardo J. Caballero, 1994. "Irreversibility and Aggregate Investment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 223-246.
    38. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    39. Kym Anderson & Signe Nelgen, 2012. "Agricultural trade distortions during the global financial crisis," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 28(2), pages 235-260, SUMMER.
    40. Alan Matthews, 2014. "Trade rules, food security and the multilateral trade negotiations," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 511-535.
    41. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    42. Darryl Jones & Andrzej Kwieciński, 2010. "Policy Responses in Emerging Economies to International Agricultural Commodity Price Surges," OECD Food, Agriculture and Fisheries Papers 34, OECD Publishing.
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    Cited by:

    1. Christensen, Cheryl, 2018. "Progress and Challenges in Global Food Security," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 0(01), February.
    2. repec:zbw:iamodp:235157 is not listed on IDEAS
    3. Esposti, Roberto, 2014. "The Impact of the 2005 CAP-First Pillar Reform as a Multivalued Treatment Effect -Alternative Estimation Approaches," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 173005, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Götz, Linde & Djuric, Ivan & Nivievskyi, Oleg, 2016. "Regional wheat price effects of extreme weather events and wheat export controls in Russia and Ukraine [Regionale Weizenpreiseffekte von Wetterextremen und Weizenexportkontrollen in Russland und de," IAMO Discussion Papers 154, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    5. Linde Götz & Ivan Djuric & Oleg Nivievskyi, 2016. "Regional Price Effects of Extreme Weather Events and Wheat Export Controls in Russia and Ukraine," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 741-763, September.
    6. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Marcella Corsi & Marina De Angelis & Pierluigi Montalbano, 2013. "The Gender Impact of Microfinance: The Case of Wekembe in Uganda," Working Papers CEB 13-045, ULB -- Universite Libre de Bruxelles.

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    More about this item

    Keywords

    Demand and Price Analysis; Food Security and Poverty; International Relations/Trade;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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