S
Stefania Di Giuseppe
Researcher at Food and Agriculture Organization
Publications - 12
Citations - 427
Stefania Di Giuseppe is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Household income & Rural area. The author has an hindex of 6, co-authored 12 publications receiving 336 citations.
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Are African Households (Not) Leaving Agriculture? : Patterns of Households’ Income Sources in Rural Sub-Saharan Africa
TL;DR: The paper finds no evidence that African households are on a different trajectory than households in other regions in terms of transitioning to non-agricultural based income strategies, and seeks to understand how geography drives these strategies.
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Income diversification patterns in rural Sub-Saharan Africa: reassessing the evidence
TL;DR: In this paper, the authors explored the extent of income diversification among rural households in Sub-Saharan Africa, and to look at how income diversity in SubSaharan Africa compares with other regions, taking into account differences in levels of development.
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Income diversification patterns in rural Sub-Saharan Africa : reassessing the evidence
TL;DR: In this paper, the authors explored the extent of income diversification among rural households in Sub-Saharan Africa, and to look at how income diversity in SubSaharan Africa compares with other regions, taking into account differences in levels of development.
Journal ArticleDOI
Rural household access to assets and agrarian institutions : a cross country comparison
Alberto Zezza,Paul Winters,Benjamin Davis,Calogero Carletto,Katia Covarrubias,Esteban J. Quiñones,Kostas G. Stamoulis,Stefania Di Giuseppe +7 more
TL;DR: In this paper, the authors find that the access of rural households to a range of assets and agrarian institutions is in general low, though highly heterogeneous across countries, and by categories of households within countries.
Journal ArticleDOI
Resilience mobility in Uganda: A dynamic analysis
TL;DR: In this paper, the authors used econometric techniques for estimating household resilience and adopts transition matrices to estimate how it changes over time, and found that female headed households are less likely to become the most resilient, while education and participation to household enterprises are positively associated with increased resilience capacity.