2010
DOI: 10.1111/j.1574-0862.2010.00449.x
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Does heterogeneity in goals and preferences affect efficiency? A case study of farm households in northern Nigeria

Abstract: Household characteristics are commonly used to explain variation in smallholder efficiency levels. The underlying assumption is that differences in intended behavior are well described by such variables, while there is no "a priori" reason that this is the case. Moreover, heterogeneity in farmer goals and preferences, in relation to the role of the farm enterprise, are not well documented in developing countries. This article makes a contribution to fill this gap, by empirically determining heterogeneity in fa… Show more

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Cited by 31 publications
(40 citation statements)
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“…Berkhout et al . () argued that households with smaller land holdings cannot afford strong variations in production as that would threaten food security. According to Adesina (), one of the main factors that influence farmers' use of fertiliser in Côte d'Ivoire is farm size.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Berkhout et al . () argued that households with smaller land holdings cannot afford strong variations in production as that would threaten food security. According to Adesina (), one of the main factors that influence farmers' use of fertiliser in Côte d'Ivoire is farm size.…”
Section: Discussionmentioning
confidence: 99%
“…This can be realised, for example through the introduction of varieties that are adapted, high yielding and less prone to diseases and the enhancement of economic incentives, such as well-developed input and output markets, for example for inorganic fertiliser. Berkhout et al (2010) argued that households with smaller land holdings cannot afford strong variations in production as that would threaten food security. According to Adesina (1996), one of the main factors that influence farmers' use of fertiliser in Côte d'Ivoire is farm size.…”
Section: Discussionmentioning
confidence: 99%
“…Expected Utility is the dominant theory to model choice under risk in applied economics (Just & Peterson, ), while Positive Mathematical Programming is the dominant approach to calibrate agricultural programming models (Heckelei et al, ). However, significant empirical evidence shows that the variance in farmers' observed strategic and entrepreneurial behavior often cannot be explained by profit maximization alone (Basarir & Gillespie, ; Berkhout et al, ; Kallas et al, ; Solano et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…In em pirical studies, the influ ence of the operational environm ent and of m anagerial ability and effort on the perform ance of agricultural p ro d u ctio n units has typically been cap tu red by regress ing the technical efficiency estim ates (obtained from n on-param etric or p aram etric frontier m odels) on a num ber of variables representing the external en v iro n m ent of farm s and h u m an capital; these include factors such as age, form al education, gender and the num ber of y ears' experience in farm ing (N w achukw u et al, 2011;Berkhout et al, 2010;Balcombe et al, 2008;Solano et al, 2006;T zouvelekas et al, 2002a). The reason for this is th at technical efficiency estim ates (which rank farm s on the basis of their relative perform ance) enable m anagers and policy m akers to identify inefficient units w herein potential im provem ents m ay achieve increases in p rofit or reductions in cost.…”
mentioning
confidence: 99%
“…For exam ple, a positive sign of the variable 'fa rm e r's ag e' will im ply th at (on average) older farm ers are better m anagers than younger ones (see, for exam ple, Solano et al, 2006;Berkhout et al, 2010). For exam ple, a positive sign of the variable 'fa rm e r's ag e' will im ply th at (on average) older farm ers are better m anagers than younger ones (see, for exam ple, Solano et al, 2006;Berkhout et al, 2010).…”
mentioning
confidence: 99%