It is likely that there are large heterogeneities of preferences across
farm households. Any in-situ conservation effort should take these
heterogeneities into consideration. Additional information on the
factors contributing to the private value that farmers assign to crop
varieties may help to identify a strategy for ensuring the conservation of
the crop genetic resources that are embodied in landraces while at the
same time minimizing the costs (Brush and Meng, 1998). To account for
observed heterogeneity of preferences across farm households, we also
estimated models where a set of socio-economic characteristics were
interacted with the attributes. Due to potential multicollinearity
problems, it was not possible to include all interactions between the
explanatory variables and the four crop variety attributes. The results of
the RPL model are presented in Table A2 in the Appendix. What we will
focus on here is instead the estimated marginal WTPs. A number of
comparisons can be made, but we focus on two. For the binary
household variables, we present the marginal WTP for each category of
the variables. Table 6 presents the results of the marginalWTP estimates
for all the binary variables. For simplicity, we only report the
unconditional WTP estimates i.e. WTP is estimated as the ratio of the
respective attribute coefficients to the price coefficient.
It is likely that there are large heterogeneities of preferences acrossfarm households. Any in-situ conservation effort should take theseheterogeneities into consideration. Additional information on thefactors contributing to the private value that farmers assign to cropvarieties may help to identify a strategy for ensuring the conservation ofthe crop genetic resources that are embodied in landraces while at thesame time minimizing the costs (Brush and Meng, 1998). To account forobserved heterogeneity of preferences across farm households, we alsoestimated models where a set of socio-economic characteristics wereinteracted with the attributes. Due to potential multicollinearityproblems, it was not possible to include all interactions between theexplanatory variables and the four crop variety attributes. The results ofthe RPL model are presented in Table A2 in the Appendix. What we willfocus on here is instead the estimated marginal WTPs. A number ofcomparisons can be made, but we focus on two. For the binaryhousehold variables, we present the marginal WTP for each category ofthe variables. Table 6 presents the results of the marginalWTP estimatesfor all the binary variables. For simplicity, we only report theunconditional WTP estimates i.e. WTP is estimated as the ratio of therespective attribute coefficients to the price coefficient.
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