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Accueil du site → Doctorat → Pays-Bas → 2000 → Risk attitude and risk perception in agroforestry decisions : the case of Babati, Tanzania

Wageningen Universiteit (2000)

Risk attitude and risk perception in agroforestry decisions : the case of Babati, Tanzania

Senkondo, E.M.M.

Titre : Risk attitude and risk perception in agroforestry decisions : the case of Babati, Tanzania

Auteur : Senkondo, E.M.M. 

Université de soutenance : Wageningen Universiteit

Grade : PhD thesis 2000

Résumé partiel
Increasing risks and uncertainties related to stochastic agro-ecological and institutional factors on one hand, and deterioration of land due to unsustainable farming on the other hand, are among the major constraints to agricultural development in the developing countries. Agroforestry is proposed as a land use option and a measure to reduce the above problems mainly because farmers’ have to derive their basic needs of food, fibre, shelter and fuelwood predominantly from the land they own. The main question is how and to what extent farmers use agroforestry to reduce risk and derive their major basic needs ?

This research was conducted in Babati district located in the southwestern part of Arusha region in the northern part of Tanzania. The research villages were Magugu, Bonga, Singe and Himiti. The main objective of the research was to set an understanding of farmers’ attitude and perception towards risk in making agroforestry production decisions.

The data collection procedure involved three major surveys : a preliminary survey of 20 farmers, a single visit general household questionnaire survey with a sample of 100 farmers and a detailed research approach involving 30 farmers.

The data obtained were analysed using the utility theory and the latent variable categories. In addition, the estimation of probability distribution functions was done using the maximum likelihood technique, the utility functions through linear/non-linear regression analysis and the relationship between risk attitude, risk perception and preference ranking of cropping systems with household resources and characteristics was done using linear regression analysis.

Mots clés : agroforestry - cropping systems - risk - uncertainty - decision making - farmers’ attitudes - perception - utility functions - tanzania

Présentation et version intégrale

Page publiée le 14 septembre 2007, mise à jour le 3 juin 2022