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Estimating Effects Of Constraints On Food Security In Malawi: Policy Lessons From Regressions Quantiles

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  • Greenwell C MATCHAYA
  • Pius CHILONDA

Abstract

This paper examines food insecurity in Malawi. Conceiving food security as tri-dimensional, it is shown using Quantile, logistic, and OLS regressions that food security in Malawi is a function of both supply and demand factors. Specifically, food security as proxied by dietary diversity, reported food security, and food end time is a function of farm level production as proxied by farm level incomes. It is also a function of credit accessed, age and sex of a household head, while access to the markets, extension information, radio ownership, assets such as housing and adoption of a cash crop (tobacco). Education and consumer worker ratio are also important signifying the role that knowledge and labour play in deciding household level food security. The results also show that the impact of the regressors on food security depends on the level of food security in question such that in general factors with a positive effect on food security have a greater impact on food insecure households than on households that are better off. Given the preponderance of evidence in this paper it appears that policies that seek to enhance market access, improve market opportunities, enhance extension services, enhance informal education, encourage cash cropping, and support household level consolidation of assets would be useful for enhancing household level food security.

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Bibliographic Info

Article provided by Euro-American Association of Economic Development in its journal Applied Econometrics and International Development.

Volume (Year): 12 (2012)
Issue (Month): 2 ()
Pages:

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Handle: RePEc:eaa:aeinde:v:12:y:2012:i:2_12

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Related research

Keywords: Food security; Malawi; Farm income; Market access; Regression Quantiles;

References

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  1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  2. Kherallah, Mylene & Govindan, Kumaresan, 1999. "The Sequencing of Agricultural Market Reforms in Malawi," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 8(2), pages 125-51, July.
  3. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
  4. Mukherjee, Sanjukta & Benson, Todd, 2003. "The Determinants of Poverty in Malawi, 1998," World Development, Elsevier, vol. 31(2), pages 339-358, February.
  5. Abdulai, Awudu & Aubert, Dominique, 2004. "A cross-section analysis of household demand for food and nutrients in Tanzania," Agricultural Economics, Blackwell, vol. 31(1), pages 67-79, July.
  6. Hendriks, Sheryl L. & Msaki, Mark M., 2009. "The impact of smallholder commercialisation of organic crops on food consumption patterns, dietary diversity and consumption elasticities," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 48(2), June.
  7. Ellis, Frank & Kutengule, Milton & Nyasulu, Alfred, 2003. "Livelihoods and Rural Poverty Reduction in Malawi," World Development, Elsevier, vol. 31(9), pages 1495-1510, September.
  8. Tschirley, David L. & Weber, Michael T., 1994. "Food security strategies under extremely adverse conditions: The determinants of household income and consumption in rural Mozambique," World Development, Elsevier, vol. 22(2), pages 159-173, February.
  9. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  10. Barrett, Christopher B., 2002. "Food security and food assistance programs," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 2, chapter 40, pages 2103-2190 Elsevier.
  11. Jean-Paul Chavas & Ragan Petrie & Michael Roth, 2005. "Farm Household Production Efficiency: Evidence from The Gambia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(1), pages 160-179.
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