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

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.


Issue Date:
2015
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/205453
Total Pages:
38
JEL Codes:
Q12; Q13; Q16
Series Statement:
Paper
7046
Control ID




 Record created 2017-04-01, last modified 2017-04-26

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