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Provedor de dados:  AgEcon
País:  United States
Título:  Multivariate Typology of Farm Households Based on Socio-Economic Characteristics Explaining Adoption of New Technology in Rwanda
Autores:  Bidogeza, J.C.
Berentsen, Paul B.M.
De Graaff, J.
Oude Lansink, Alfons G.J.M.
Data:  2009-07-21
Ano:  2008
Palavras-chave:  Agricultural and Food Policy
Community/Rural/Urban Development
Consumer/Household Economics
Food Consumption/Nutrition/Food Safety
Food Security and Poverty
Land Economics/Use
Marketing
Production Economics
Research and Development/Tech Change/Emerging Technologies
Resumo:  The challenge for agricultural policymakers and planners, particularly in the context of Rwanda with high population density and consequently food insecurity, is how to enable farmers to adopt new technology. It is known that adoption of new technology may vary among farm households because of socio-economic characteristics. This paper intends to typify farm households in Rwanda based on the exploration of factors explaining adoption of new technology. Ultimately, typical farms obtained from the typology will be used, later as basis to develop representative mathematical programming models. Multivariate statistical techniques offer the means of creating such typologies, particularly when an in-depth database is available. This multivariate analysis approach, combining principal component analysis (PCA) and cluster analysis (CA), has allowed us to identify clearly five typical farm households and their socio-economic characteristics explaining adoption of new technology.. Multivariate statistical techniques, such as PCA and CA, are great tools to envisage building mathematical programming models on the basis of typical farm households.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  http://purl.umn.edu/52107
Relação:  African Association of Agricultural Economists (AAAE)>2007 Second International Conference, August 20-22, 2007, Accra, Ghana
The Role of Agriculture in Poverty Reduction: Recent Experiences from Africa
2
Formato:  7
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