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Does Village Chickens Vaccination Raise Farmers’ Income? Evidence from Rural Mozambique

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  • Tomo, Alda
  • Crawford, Eric W.
  • Donovan, Cynthia
  • Lloyd, James W.
  • Udo, Henk
  • Viets, Theo

Abstract

This paper assesses the impact of chicken vaccination on farmers’ income. A dynamic simulation model, VIPOSIM, combined with benefit-cost techniques, was used ensuring that both, the dynamic aspects of village poultry production system and selection bias are addressed. The findings of this study reveal that, in general, Newcastle Disease (ND) control results in a considerable increase in farmers’ income. Economic profitability is not the underlying factor for low rates of chicken vaccination. To address adequately the adoption of ND control technology, the government should concentrate efforts on the strategies of extension and distribution of the vaccine.

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Bibliographic Info

Paper provided by International Association of Agricultural Economists in its series 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil with number 130977.

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Date of creation: 2012
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Handle: RePEc:ags:iaae12:130977

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Keywords: benefit-cost analysis; simulation model; Newcastle disease; economic impact; Community/Rural/Urban Development; Food Security and Poverty; Livestock Production/Industries; Production Economics; Research and Development/Tech Change/Emerging Technologies;

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  1. Oehmke, James F & Crawford, Eric W, 1996. "The Impact of Agricultural Technology in Sub-Saharan Africa," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 5(2), pages 271-92, June.
  2. Mather, David & Cunguara, Benedito & Boughton, Duncan, 2008. "Household Income and Assets in Rural Mozambique, 2002-2005: Can Pro-Poor Growth Be Sustained?," Food Security Collaborative Working Papers 56072, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  3. Howard, Julie & Crawford, Eric & Kelly, Valerie & Demeke, Mulat & Jeje, Jose Jaime, 2003. "Promoting high-input maize technologies in Africa: the Sasakawa-Global 2000 experience in Ethiopia and Mozambique," Food Policy, Elsevier, vol. 28(4), pages 335-348, August.
  4. Walker, Thomas S. & Pitoro, Raul & Tomo, Alda & Sitoe, Isabel & Salencia, Celestino & Mahanzule, Rosalina & Donovan, Cynthia & Mazuze, Feliciano M., 2006. "Priority Setting for Public-Sector Agricultural Research in Mozambique with the National Agricultural Survey Data," Food Security Collaborative Working Papers 56113, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  5. Michael Hoy & John Livernois & Chris McKenna & Ray Rees & Anthanassios Stengos, 2001. "Mathematics for Economics, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262582074, December.
  6. Pritchett, James G. & Thilmany, Dawn D. & Johnson, Kamina K., 2005. "Animal Disease Economic Impacts: A Survey of Literature and Typology of Research Approaches," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IAMA), vol. 8(01).
  7. Bellon, Mauricio R. & Adato, Michelle & Becerril, Javier & Mindek, Dubravka, 2005. "Impact of Improved Maize Germplasm on Poverty Alleviation: The Case of Tuxpeno-Derived Materials in Mexico," Impact Studies 7658, CIMMYT: International Maize and Wheat Improvement Center.
  8. Richard Bennett, 2003. "The 'Direct Costs'of Livestock Disease: The Development of a System of Models for the Analysis of 30 Endemic Livestock Diseases in Great Britain," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(1), pages 55-71.
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