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Non‐farm employment and poverty reduction in Mauritania
Author(s) -
Ba Mamoudou,
Anwar Amar,
Mughal Mazhar
Publication year - 2021
Publication title -
journal of international development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.533
H-Index - 66
eISSN - 1099-1328
pISSN - 0954-1748
DOI - 10.1002/jid.3533
Subject(s) - poverty , agriculture , livestock , probit model , propensity score matching , diversification (marketing strategy) , poverty reduction , probit , matching (statistics) , economics , farm income , rural area , socioeconomics , agricultural economics , geography , business , economic growth , political science , statistics , mathematics , archaeology , marketing , forestry , econometrics , law
Abstract This study examines the effect of non‐farm labour participation on poverty reduction in rural Mauritania. Farm households with more land and livestock participate to a greater extent in non‐farm activities compared with households with smaller land or cattle. We study poverty's relationship with non‐farm labour activities in terms of the incidence as well as the intensity and severity of poverty. The study is the first to highlight the contribution of the non‐agricultural sector in the reduction of poverty in the rural areas of Mauritania. We apply probit, propensity score matching and inverse probability weighting techniques to determine the signs and impacts of participation on poverty reduction. The results show that the probability of being poor is 5.9% lower among households that have at least one member participating in non‐farm activities compared with those only associated with the agriculture sector. Participation in non‐farm activities is associated with lower intensity and severity of poverty (3.6% and 1.9%, respectively). We find that surplus labour released by the agriculture sector is absorbed in the non‐farm economy. Income generation through diversification into non‐farm activities therefore seems to be an effective way to reduce poverty in rural areas.