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Farmers’ Preferences on Conditions in Manufacturing Pineapple Sale Contract in Rayong Province

Parkpoom Pichhannaronk, Apichart Daloonpate and Santi Sanglestsawai

No 284120, ARE Working Papers from Kasetsart University - Department of Agricultural and Resource Economics

Abstract: This paper aimed to evaluate farmers’ preferences on condition attributes in a manufacturing pineapple sale contract. Data were collected from 300 pineapple farmers in Rayong province in the cropping season 2015 using paper-based questionnaires. Conjoint analysis model was employed to analyze the attribute ranking. Consequently, farmers were grouped by using cluster analysis in order to study attribute ranking for each group. The analytical results revealed that farmers’ preferences were affected respectively by coverage-crop insurance option, price option, contract quantity and input supply arrangement. Finally, the attribute set that was found to obtain the highest total utility included guaranteed minimum prices, total quantity purchase and partial coverage-crop insurance. The farmers were segmented in 2 groups due to their preferences. The first group of farmers mostly had their planted areas between 20-40 rais and attended at least one training program concerning agricultural knowledge. The most important attribute of the first group was coverage-crop insurance option. Most of the second-group farmers had a small area planted and never attended the training. The price option was the most importance attribute for the second group. The suggestion from this study was that farmers, pineapple manufacturers and related government sectors jointly set a reasonably minimum guaranteed price that is consistent to the cost of production. Moreover, coverage-crop insurance could be added in a manufacturing pineapple sale contact in order to increase the farmers' confidence in their production.

Keywords: Institutional; and; Behavioral; Economics (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr, nep-ias and nep-upt
Date: 2017-02-28
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