Gender Implications of Biofuels Expansion in Africa: The Case of Mozambique
Channing Arndt,
Rui Benfica and
James Thurlow
No 332161, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project
Abstract:
We use a gendered dynamic CGE model to assess the implications of biofuels expansion in a low-income, land-abundant setting. Mozambique is chosen as a representative case. We compare scenarios with different gender employment intensities in producing jatropha feedstock for biodiesel. Under all scenarios, biofuels investments accelerate GDP growth and reduce poverty. However, a stronger trade-off between biofuels and food availability emerges when female labor is used intensively, as women are drawn away from food production. A skillsshortage amongst female workers also limits poverty reduction. Policy simulations indicate that only modest improvements in women’s education and food crop yields are needed to address food security concerns and ensure broader-based benefits from biofuels investments.
Keywords: Labor and Human Capital; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Pages: 29
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://ageconsearch.umn.edu/record/332161/files/5589.pdf (application/pdf)
Related works:
Working Paper: Gender Implications of Biofuels Expansion in Africa: The Case of Mozambique (2012) 
Journal Article: Gender Implications of Biofuels Expansion in Africa: The Case of Mozambique (2011) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:332161
Access Statistics for this paper
More papers in Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().