Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 3
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Using Rural Household Income Survey Data to Inform Poverty Analysis: An Example from Mozambique AgEcon
Walker, Thomas S.; Boughton, Duncan; Tschirley, David L.; Pitoro, Raul; Tomo, Alda.
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.
Tipo: Conference Paper or Presentation Palavras-chave: Poverty analysis; Household income surveys; Agricultural development; Millenium Development Goals; Mozambique; Consumer/Household Economics; Food Security and Poverty; C21; I3; O13; O2; Q18.
Ano: 2006 URL: http://purl.umn.edu/25676
Imagem não selecionada

Imprime registro no formato completo
Measuring the poverty impact of ACIAR projects: a broad framework AgEcon
Pearce, David.
This report sets out some broad ideas about how poverty evaluation could be conducted for ACIAR research projects. As with good benefit–cost analysis, there are good practices that need to be observed when undertaking poverty analysis. While poverty is a broad concept, and can be addressed through many means, these need to be grounded in some common understanding of the economics of poverty. This report is concerned mostly with quantitative evaluation, in the same sense that current ACIAR project evaluations are quantitative. That is, it is concerned with saying something about the order of magnitude of the effects of the project. Of course, qualitative analysis is important, and in most cases is a prelude to quantification — there is little point...
Tipo: Book Palavras-chave: Poverty evaluation; Benefit-cost analysis; Poverty analysis; Economics of poverty; Quantitative evaluation; Analytical; Agribusiness; Agricultural and Food Policy; Crop Production/Industries; Farm Management; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; International Development; Livestock Production/Industries; Production Economics.
Ano: 2002 URL: http://purl.umn.edu/47697
Imagem não selecionada

Imprime registro no formato completo
Determinants of Wellbeing Among Smallholders in Adjumani District, Uganda AgEcon
Bashaasha, Bernard; Kidoido, Michael; Hansen, Esbern Friis.
An ordered logistic regression model was used to empirically establish the quantitative effects of community identified (local) determinants of wellbeing on the level of household wellbeing. The model was fitted to data for a sample of 200 households collected in the last quarter of 2002. The dependent variable, poverty category, has three levels namely poorest =1, Less poor =2, and Better off =3. Fourteen independent variables are used. Results show that households that own less than 5 acreage of land, that are male headed, have a nonagricultural source of income and are actively involved in agricultural development activities have a higher probability (odds) of enjoying wellbeing above any given level. Land ownership seems to be the most important...
Tipo: Conference Paper or Presentation Palavras-chave: Adjumani; Poverty analysis; DASS; Ordinal logit; Consumer/Household Economics.
Ano: 2006 URL: http://purl.umn.edu/25558
Registros recuperados: 3
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional