Using Rural Household Income Survey Data to Inform Poverty Analysis: An Example from Mozambique

This paper demonstrates that income survey data can be very informative in explaining the variation across households in the incidence and severity of absolute poverty using a rural household income data set for Mozambique. Results from regression analysis of the sources of variation are used to simulate the impact of alternative agricultural interventions or strategies on rural poverty. Complementarities in the insights gained from consumption expenditure and income surveys may justify the collection and analysis of both types of information, especially in Sub-Saharan Africa, the one region of the world where the incidence of poverty is increasing.Poverty analysis, household income surveys, agricultural development, Millenium Development Goals, Mozambique, Consumer/Household Economics, Food Security and Poverty, C21, I3, O13, O2, Q18,

Using Rural Household Income Survey Data to Inform Poverty Analysis: An Example from Mozambique

This paper demonstrates that income survey data can be very informative in explaining the variation across households in the incidence and severity of absolute poverty using a rural household income data set for Mozambique. Results from regression analysis of the sources of variation are used to simulate the impact of alternative agricultural interventions or strategies on rural poverty. Complementarities in the insights gained from consumption expenditure and income surveys may justify the collection and analysis of both types of information, especially in Sub-Saharan Africa, the one region of the world where the incidence of poverty is increasing

Cassava Commercialization in Mozambique

Cassava supplies roughly 30% of all calories consumed in Mozambique, making it the country’s most important food security crop. Over the past several decades, growing urbanization and shifting demand patterns have led to growing opportunities for cassava processing and commercialization. This paper examines the commercial dynamics in Mozambique’s cassava value chain as well as the food security implications of growing cassava commercialization

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

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

Cassava Commercialization in Mozambique

Cassava supplies roughly 30% of all calories consumed in Mozambique, making it the country’s most important food security crop. Over the past several decades, growing urbanization and shifting demand patterns have led to growing opportunities for cassava processing and commercialization. This paper examines the commercial dynamics in Mozambique’s cassava value chain as well as the food security implications of growing cassava commercialization.Mozambique, Cassava, Food Security and Poverty,

Estabelecimento de Prioridades para a Investigação Agrária no Sector Público em Moçambique Baseado nos Dados do Trabalho de Inquérito Agrícola (TIA)

The bulk of this research report addresses the question of where commodity research should be cited across IIAM’s ten agro-ecologies and four zonal research centers. As IIAM decentralizes its scientific human resources to its four zonal center locations, it should not lose sight of the primacy of the Northeast Zonal Research Center in both economic importance and the potential for poverty reduction. Our analysis suggests that the Northeast Zonal Research Center contributes about 40% to value of commodity production and to absolute poverty alleviation. The temptation is that too many resources are allocated to the South Zonal Research Center because the research infrastructure in the south is wider and deeper than in the center and north of the country. If the three other zonal research centers are to fulfill their promise, a few key facilities need to be rehabilitated and strengthened in the center and north. The scarcity of research infrastructure is most constraining in the coastal agroecologies, especially for rice

Priority Setting for Public-Sector Agricultural Research in Mozambique with the National Agricultural Survey Data

The bulk of this research report addresses the question of where commodity research should be cited across IIAM’s ten agro-ecologies and four zonal research centers. As IIAM decentralizes its scientific human resources to its four zonal center locations, it should not lose sight of the primacy of the Northeast Zonal Research Center in both economic importance and the potential for poverty reduction. Our analysis suggests that the Northeast Zonal Research Center contributes about 40% to value of commodity production and to absolute poverty alleviation. The temptation is that too many resources are allocated to the South Zonal Research Center because the research infrastructure in the south is wider and deeper than in the center and north of the country. If the three other zonal research centers are to fulfill their promise, a few key facilities need to be rehabilitated and strengthened in the center and north. The scarcity of research infrastructure is most constraining in the coastal agroecologies, especially for rice

Priority Setting for Public-Sector Agricultural Research in Mozambique with the National Agricultural Survey Data

Institute of Agricultural Research of Mozambique; Directorate of Training, Documentation, and Technology Transferfood security, food policy, priority setting, Mozambique, rice, Research and Development/Tech Change/Emerging Technologies, Q18,

Estabelecimento de Prioridades para a Investigação Agrária no Sector Público em Moçambique Baseado nos Dados do Trabalho de Inquérito Agrícola (TIA)

Institute of Agricultural Research of Mozambique Directorate of Training, Documentation, and Technology Transferfood security, food policy, priority setting, Mozambique, rice, Research and Development/Tech Change/Emerging Technologies, Q18,