The Effect of Indonesian Farmer Preferences for Crop Attributes in the Adoption of Horticultural Crops: A Best-Worst Scaling Approach

Supehatin, Wendy Umberger, Dale Yi, Randy Stringer and Nicholas Minot

No 205453, 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California from Agricultural and Applied Economics Association

Abstract: The main objective of this study is to provide insight on how Indonesian farmer preferences for crop attributes influence their adoption decisions. Results from a Latent Class (LC) cluster analysis, using the individual scores for each of the Best-Worst (BW) scaling attributes, indicate there are four clusters of farmers, each distinct in their relative preferences for crop attributes and socio-demographic characteristics. The multinomial endogenous treatment regressions show that preference cluster effect varies across models. For the binary adoption model, we find an insignificant preference cluster effect. We find a significant preference cluster effect both for the intensity of adoption and the timing of adoption models. The effects of farmers’ crop preference cluster, however, are different across those models. The findings allow more targeted programming and the development of information on specific cropping attributes that are most likely to encourage farmers to adopt new crops that have a high probability of offering benefits, including improved livelihoods for farmers.

Keywords: Agribusiness; Farm Management; International Development; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Pages: 38
Date: 2015
New Economics Papers: this item is included in nep-ino and nep-sea
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea15:205453

DOI: 10.22004/ag.econ.205453

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