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Globalization and Complementary Policies: Poverty Impacts on Rural Zambia

In: Globalization and Poverty

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  • Jorge F. Balat
  • Guido G. Porto

Abstract

In this paper, we have two main objectives: to investigate the links between globalization and poverty observed in Zambia during the 1990s, and to explore the poverty impacts of non-traditional export growth. We look at consumption and income effects separately. On the consumption side, we study the maize marketing reforms and the elimination of maize subsidies. We find that complementary policies matter: the introduction of competition policies at the milling industry acted as a cushion that benefited consumers but the restriction on maize imports by small-scale mills hurt them. On the income side, we study agricultural export growth to estimate income gains from international trade. The gains are associated with market agriculture activities (such as growing cotton, tobacco, hybrid maize) and rural labor markets and wages. We find that by expanding trade opportunities Zambian households would earn significantly higher income. Securing these higher levels of well-being requires complementary policies, like the provision of infrastructure, credit, and extension services.
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Suggested Citation

  • Jorge F. Balat & Guido G. Porto, 2007. "Globalization and Complementary Policies: Poverty Impacts on Rural Zambia," NBER Chapters, in: Globalization and Poverty, pages 373-416, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:0115
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    References listed on IDEAS

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    1. Porto, Guido G., 2005. "Informal export barriers and poverty," Journal of International Economics, Elsevier, vol. 66(2), pages 447-470, July.
    2. anonymous, 2005. "Focus on Authors," Marketing Science, INFORMS, vol. 24(3), pages 518-522.
    3. Irene Brambilla & Guido G. Porto, 2011. "Market structure, outgrower contracts, and farm output. Evidence from cotton reforms in Zambia," Oxford Economic Papers, Oxford University Press, vol. 63(4), pages 740-766, December.
    4. Neil McCulloch & Bob Baulch & Milasoa Cherel-Robson, 2000. "Poverty, Inequality and Growth in Zambia during the 1990s," Econometrics 0004004, University Library of Munich, Germany.
    5. repec:pru:wpaper:16 is not listed on IDEAS
    6. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    7. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    8. L. ALAN WINTERS & NEIL McCULLOCH & ANDREW McKAY, 2015. "Trade Liberalization and Poverty: The Evidence So Far," World Scientific Book Chapters, in: Non-Tariff Barriers, Regionalism and Poverty Essays in Applied International Trade Analysis, chapter 14, pages 271-314, World Scientific Publishing Co. Pte. Ltd..
    9. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643.
    10. Brambilla, Irene & Porto, Guido G., 2005. "Farm Productivity and Market Structure: Evidence from Cotton Reforms in Zambia," Center Discussion Papers 28492, Yale University, Economic Growth Center.
    11. Angus Deaton, 1991. "Price Elasticities from Survey Data: Extensions and Indonesian Results," International Economic Association Series, in: Marc Nerlove (ed.), Issues in Contemporary Economics, chapter 10, pages 253-283, Palgrave Macmillan.
    12. Benjamin, Dwayne, 1992. "Household Composition, Labor Markets, and Labor Demand: Testing for Separation in Agricultural Household Models," Econometrica, Econometric Society, vol. 60(2), pages 287-322, March.
    13. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    14. Deaton, Angus, 1989. "Rice Prices and Income Distribution in Thailand: A Non-parametric Analysis," Economic Journal, Royal Economic Society, vol. 99(395), pages 1-37, Supplemen.
    15. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
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    More about this item

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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