2002
DOI: 10.1016/s0921-8009(02)00208-2
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Soil fertility management and socio-economic factors in crop-livestock systems in Burkina Faso: a case study of composting technology

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Cited by 101 publications
(60 citation statements)
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“…The farmers' responses to the adoption of small-scale irrigation farming are assumed to be consistent with utility maximisation. Binary logistic regression is a common statistical procedure in which the probability of a dichotomous outcome (adoption or non-adoption) is related to a set of explanatory variables and has been widely applied in adoption studies [32,34,[36][37][38][39][40] . In this research, smallholder farmers' adoption of small-scale irrigation farming is based on an assumed underlying utility function.…”
Section: Modelling the Adoption Of Small-scale Irrigation Farmingmentioning
confidence: 99%
“…The farmers' responses to the adoption of small-scale irrigation farming are assumed to be consistent with utility maximisation. Binary logistic regression is a common statistical procedure in which the probability of a dichotomous outcome (adoption or non-adoption) is related to a set of explanatory variables and has been widely applied in adoption studies [32,34,[36][37][38][39][40] . In this research, smallholder farmers' adoption of small-scale irrigation farming is based on an assumed underlying utility function.…”
Section: Modelling the Adoption Of Small-scale Irrigation Farmingmentioning
confidence: 99%
“…This loss harms the farmland's suitability for farming and reduces its ability to retain water (Wall et al 2003). This leads to impoverishment of the soil and reduces soil productivity and yield potential (Somda et al 2002). Therefore, soil erosion is an obstacle for agricultural development as it decreases soil fertility, farm productive capacity and yield, leading to a decrease in income of farmer´s households (Semgalawe and Folmer 2000).…”
Section: Introductionmentioning
confidence: 99%
“…The empirical research on the adoption of new agricultural technologies has frequently relied on probit (Klotz et al, 1995;Negatu & Parikh, 1999, Faria et al, 2002Foltz & Chang, 2002) or logit models (Caffey & Kazmierczack, 1994;Dimara & Skuras, 1998;Bartoloni & Baussola, 2001;Somda et al, 2002) that estimate the probability of adoption at a moment in time as a function of a set of explanatory variables expected to be relevant to the "adoption or non-adoption" decision. In their standard forms, these static models of adoption do not allow for different rates of adoption over time.…”
Section: Duration Models and Estimation Methodsmentioning
confidence: 99%