Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/126756
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Type: Journal article
Title: Understanding Filipino rice farmer preference heterogeneity for varietal trait improvements: A latent class analysis
Author: Maligalig, R.L.
Demont, M.
Umberger, W.J.
Peralta, A.
Citation: Journal of Agricultural Economics, 2021; 72(1):134-157
Publisher: Wiley
Issue Date: 2021
ISSN: 0021-857X
1477-9552
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Responsibility: 
Rio Maligalig, Matty Demont, Wendy J. Umberger and Alexandra Peralta
Abstract: Using an experimental methodology based on investment games, we examine whether smallholder rice farmers from Nueva Ecija, Philippines have heterogeneous preferences for improvements in 10 rice varietal traits. We use a latent class cluster approach to identify different segments of rice producing households and their distinct preferences for trait improvements. These clusters were characterised post hoc using household, farm, and marketing characteristics. On average, farmers invested the most in rice varietal trait improvements that offered opportunities to reduce losses caused by lodging, insects and diseases. We found four classes of farmers with distinct preferences for improvements in variety traits. The clusters were significantly different in terms of household and farm characteristics. These findings can guide breeding research in the development of varieties that have the traits farmers identified for improvement, and that will address the unique needs of distinct farmer segments.
Keywords: Experimental investment game; latent class cluster analysis; Philippines; preference heterogeneity; rice; varietal trait improvement
Rights: © 2020 The Authors. Journal of Agricultural Economics published by John Wiley & Sons Ltd on behalf of Agricultural Economics Society This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1111/1477-9552.12392
Published version: http://dx.doi.org/10.1111/1477-9552.12392
Appears in Collections:Aurora harvest 4
Global Food Studies publications

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