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 fo...
| Autores principales: | , , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
Agricultural and Applied Economics Association
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/150332 |
| _version_ | 1855529369627262976 |
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| author | Suprehatin Umberger, Wendy J. Yi, Dale Stringer, Randy Minot, Nicholas |
| author_browse | Minot, Nicholas Stringer, Randy Suprehatin Umberger, Wendy J. Yi, Dale |
| author_facet | Suprehatin Umberger, Wendy J. Yi, Dale Stringer, Randy Minot, Nicholas |
| author_sort | Suprehatin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. Supehatin; Umberger, Wendy J.; Yi, Dale; Stringer, Randy; Minot, Nicholas |
| format | Conference Paper |
| id | CGSpace150332 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Agricultural and Applied Economics Association |
| publisherStr | Agricultural and Applied Economics Association |
| record_format | dspace |
| spelling | CGSpace1503322024-11-13T12:23:13Z The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach Suprehatin Umberger, Wendy J. Yi, Dale Stringer, Randy Minot, Nicholas microeconomics farm inputs horticulture yields 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. Supehatin; Umberger, Wendy J.; Yi, Dale; Stringer, Randy; Minot, Nicholas 2015-06-05 2024-08-01T02:51:28Z 2024-08-01T02:51:28Z Conference Paper https://hdl.handle.net/10568/150332 en Open Access Agricultural and Applied Economics Association Suprehatin; Umberger, Wendy J.; Yi, Dale; Stringer, Randy; and Minot, Nicholas. 2015. The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach. Selected Paper prepared for presentation at the 2015 Agricultural and Applied Economics Association & Western Agricultural Economics Association Annual Meeting, San Francisco, CA, July 26-28, 2015. Milwaukee, WI, USA: Agricultural and Applied Economics Association (AAEA). https://purl.umn.edu/205453 |
| spellingShingle | microeconomics farm inputs horticulture yields Suprehatin Umberger, Wendy J. Yi, Dale Stringer, Randy Minot, Nicholas The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach |
| title | The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach |
| title_full | The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach |
| title_fullStr | The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach |
| title_full_unstemmed | The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach |
| title_short | The effect of Indonesian farmer preferences for crop attributes in the adoption of horticultural crops: A best-worst scaling approach |
| title_sort | effect of indonesian farmer preferences for crop attributes in the adoption of horticultural crops a best worst scaling approach |
| topic | microeconomics farm inputs horticulture yields |
| url | https://hdl.handle.net/10568/150332 |
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