Farmer satisfaction and cocoa cooperative performance: evidence from Tocache, Peru
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Cocoa marketing cooperatives are essential in the current model of governance of cocoa production and distribution in Peru and other developing countries. Because farmer satisfaction is particularly important for the success and development of cooperatives, this article focuses on an analysis of the factors related to farmer satisfaction as well as the identification of demographic and socio-economic elements that can explain the different levels of satisfaction among different cooperative members. Data obtained through a survey of 150 cocoa farmers were analyzed through three main statistical methods: (1) an exploratory factor analysis with a principal component analysis method; (2) cluster analysis; and (3) an independent samples t-test. The results confirm that farmer satisfaction is explained by a complex set of cognitive and psycho-social elements and pro-social emotions. Finally, the results indicate that some socio-economic features such as farm size or household size are associated with the varying existing levels of farmer satisfaction.
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Farmer satisfaction and cocoa cooperative performance: evidence from Tocache, Peru
In: International Food and Agribusiness Management ReviewSearch for other papers by Angie Higuchi in
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Professor, Instituto de Estudios sobre América Latina, Avenida de la Ciudad Jardín 20-22, 41005 Sevilla, Spain.
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Cocoa marketing cooperatives are essential in the current model of governance of cocoa production and distribution in Peru and other developing countries. Because farmer satisfaction is particularly important for the success and development of cooperatives, this article focuses on an analysis of the factors related to farmer satisfaction as well as the identification of demographic and socio-economic elements that can explain the different levels of satisfaction among different cooperative members. Data obtained through a survey of 150 cocoa farmers were analyzed through three main statistical methods: (1) an exploratory factor analysis with a principal component analysis method; (2) cluster analysis; and (3) an independent samples t-test. The results confirm that farmer satisfaction is explained by a complex set of cognitive and psycho-social elements and pro-social emotions. Finally, the results indicate that some socio-economic features such as farm size or household size are associated with the varying existing levels of farmer satisfaction.
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