Our study examines farmers' crop choice to investigate the motivation behind the recent coffee production decrease in Chumphon, a southern province of Thailand. Through a choice experiment based on a random parameter logit model, which takes into account farmers' heterogeneous preferences for commodities, we find that the constraint on hiring labor induces farmers to refrain from replanting new coffee trees. In addition, the coffee tree aging problem induces the removal of old coffee trees, but does not affect significantly the replanting of new coffee trees when the hiring labor constraint is not imposed in the experiment. This seems to suggest that, since coffee has only one harvesting opportunity in a year, the constraint on hiring harvesting labor amplifies the income uncertainty of coffee management.
This study captures the structural transformation in crop composition in Chumphon Province in southern Thailand at the macro (province) and micro (farm household / plot) levels. Based on the decomposition of crop production value growth into the effects of price, productivity, area reallocation between crops, and enlargement of the total area, production at the province level has been found to be driven by price and productivity effects for the past two decades. This raises the question of how farmers obtain crop price or technical information for crop choice decisions. In our original survey, farm or plot-level crop diversification was studied in villages where coffee production was historically active. We found that the capacity for diversification differs according to farm scale, and information use regarding crop price or farming practices is highly dependent on informal social networks. Furthermore, the role of social relationships in information sharing on price and farming practices of a specific crop is important even for farmers who do not produce that crop, suggesting that social relationships are the effective channel for the promotion of crop diversification and sustainable farming practices.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.