Farmer satisfaction and cocoa cooperative performance: Evidence from Tocache, Peru

Angie Higuchi, Daniel Coq-Huelva, Ruth Arias-Gutierrez, Rafaela Alfalla-Luque

Resultado de la investigación: Contribución a una revistaArtículo de revista revisión exhaustiva

Resumen

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.
Idioma originalInglés
Páginas (desde-hasta)217-234
Número de páginas18
PublicaciónInternational Food and Agribusiness Management Review
Volumen23
N.º2
DOI
EstadoPublicada - 2020

Nota bibliográfica

Funding Information:
Our gratitude goes out to the annual internal grant 2016 promoted by the vice-presidency for research at Universidad del Pac?fico (Lima, Per?), and also to Edinov Anchahua, director of the Prodatu II-DEVIDA project for his support on the survey application.

Publisher Copyright:
© 2020 Higuchi et al.

Palabras clave

  • Cluster analysis
  • Cocoa
  • Cooperative
  • Exploratory factor analysis
  • Peru

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