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Are The Poverty Effects of Trade Policies Invisible?

Author

Listed:
  • Monika Verma
  • Thomas W. Hertel
  • Ernesto Valenzuela

Abstract

Beginning with the WTO's Doha Development Agenda and establishment of the Millennium Development Goal of reducing poverty by 50 percent by 2015, poverty impacts of trade reforms have become central to the global development agenda. This has been particularly true of agricultural trade reforms due to the importance of grains in the diets of the poor, presence of relatively higher protection in agriculture, as well as heavy concentration of global poverty in rural areas where agriculture is the main source of income. Yet some in this debate have argued that, given the extreme volatility in agricultural commodity markets, the additional price and therefore poverty impacts due to trade liberalization might well be indiscernible. This paper formally tests the “invisibility hypothesis” using the method of stochastic simulation in a trade-poverty modeling framework. The hypothesis test is based on the comparison of two samples of price and poverty distributions. The first originates solely from the inherent variability in global staple grains markets, while the second combines the effects of inherent market variability with those of trade reform in these same markets. Results, at the national and stratum level indicate that the short-run poverty impacts of full trade liberalization in staple grains trade worldwide, are distinguishable in only four of the fifteen countries, suggesting that impacts of more modest agricultural trade reforms are indeed likely to be invisible in short run. Countries that show statistically significant short run impacts are the ones characterized by high staple grains tariffs and/or a moderate degree of grain markets variability. Within each country, results are heterogeneous. In two thirds of the sample countries, agriculturally self-employed poor experience statistically significant poverty impacts from trade liberalization. However, this figure is under a third for all the other strata. Copyright , Oxford University Press.

Suggested Citation

  • Monika Verma & Thomas W. Hertel & Ernesto Valenzuela, 2011. "Are The Poverty Effects of Trade Policies Invisible?," The World Bank Economic Review, World Bank, vol. 25(2), pages 190-211, May.
  • Handle: RePEc:oup:wbecrv:v:25:y:2011:i:2:p:190-211
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    File URL: http://hdl.handle.net/10.1093/wber/lhr014
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    Cited by:

    1. Ans Kolk & Miguel Rivera-Santos & Carlos Rufín, 2018. "Multinationals, international business, and poverty: A cross-disciplinary research overview and conceptual framework," Journal of International Business Policy, Palgrave Macmillan, vol. 1(1), pages 92-115, June.
    2. Verma, Monika & Hertel, Thomas W. & Preckel, Paul V., 2011. "Predicting within country household food expenditure variation using international cross-section estimates," Economics Letters, Elsevier, vol. 113(3), pages 218-220.
    3. Martin Carnoy & Prashant Loyalka & Gregory Androushchak & Anna Proudnikova, 2012. "The Economic Returns to Higher Education in the BRIC Countries and their Implications for Higher Education Expansion," HSE Working papers WP BRP 02/EDU/2012, National Research University Higher School of Economics.
    4. Mathilde Douillet, 2012. "Trade policies and agriculture in Sub-Saharan Africa Comparative analysis in a Computable General Equilibrium framework [Politiques commerciales et agriculture en Afrique Sub-Saharienne : analyse c," Sciences Po Economics Publications (main) tel-03676037, HAL.
    5. repec:spo:wpmain:info:hdl:2441/45eb019724sn6sg9melpggksl is not listed on IDEAS
    6. repec:spo:wpecon:info:hdl:2441/45eb019724sn6sg9melpggksl is not listed on IDEAS
    7. Artavia, Marco & Grethe, Harald & Zimmermann, Georg, 2015. "Stochastic market modeling with Gaussian Quadratures: Do rotations of Stroud's octahedron matter?," Economic Modelling, Elsevier, vol. 45(C), pages 155-168.
    8. Phimister, Euan & Roberts, Deborah, 2014. "Allowing for uncertain and asymmetric policy shocks: a CGE analysis of the impacts of on-shore wind farm developments in north east Scotland," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182663, European Association of Agricultural Economists.

    More about this item

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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