| This paper determines the demand for a forestry program amongst rural households in western Kenya. It is based on a field survey with 277 households, using a stratified random sampling approach. The study follows attribute based method to elicit farmers’ preferences. Demand is measured in terms of additional number of trees that a household is willing to plant under different price schedules, including direct economic incentive to plant new seedlings. The mean willingness to plant new trees per household increases from 44 trees when farmers have to pay 10ksh/seedling, to 244 trees when farmers receive a payment of 10ksh/seedling. The paper uses fixed effects, random effects and random effect tobit models to estimate relevant parameters. Hausman... |
