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Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference
dc.contributor.author | Ambali, Omotuyole Isiaka | |
dc.contributor.author | Areal, Francisco | |
dc.contributor.author | Georgantzis, Nikolaos | |
dc.date.accessioned | 2021-10-01T09:25:54Z | |
dc.date.available | 2021-10-01T09:25:54Z | |
dc.date.issued | 2021-07-22 | |
dc.identifier.citation | Ambali, O.I.; Areal, F.J.; Georgantzis, N. Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference. Agriculture 2021, 11, 691. https://doi.org/10.3390/agriculture11080691 | ca_CA |
dc.identifier.issn | 2077-0472 | |
dc.identifier.uri | http://hdl.handle.net/10234/194876 | |
dc.description.abstract | This study analyses farmers’ adoption of improved rice technology, taking into account farmers’ risk preferences; the unobserved spatial heterogeneity associated with farmers’ risk preferences; farmers’ household and farm characteristics; farm locations, farmers’ access to information, and their perceptions on the rice improved varieties (i.e., high yield varieties, HYV). The study used data obtained from field experiments and a survey conducted in 2016 in Nigeria. An instrumental-variable probit model was estimated to account for potential endogenous farmers’ risk preference in the adoption decision model. Results show that risk averse (risk avoidant) farmers are less likely to adopt HYV, with the spatial lags of farmers’ risk attitudes found to be a good instrument for spatially unobserved variables (e.g., environmental and climatic factors). We conclude that studies supporting policy action aiming at the diffusion of improved rice varieties need to collect information, if possible, on farmers’ risk attitudes, local environmental and climatic conditions (e.g., climatic, topographic, soil quality, pest incidence) in order to ease the design and evaluation of policy actions on the adoption of improved agricultural technology. | ca_CA |
dc.format.extent | 13 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | MDPI | ca_CA |
dc.relation.isPartOf | Agriculture, 2021, vol. 11, no 8 | ca_CA |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | ca_CA |
dc.subject | agricultural technology | ca_CA |
dc.subject | farmer’s technology adoption | ca_CA |
dc.subject | endogenous variable | ca_CA |
dc.subject | risk attitudes | ca_CA |
dc.subject | spatial dependence | ca_CA |
dc.subject | risk panel lottery | ca_CA |
dc.subject | unobserved heterogeneity | ca_CA |
dc.title | Improved Rice Technology Adoption: The Role of Spatially-Dependent Risk Preference | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.3390/agriculture11080691 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://www.mdpi.com/2077-0472/11/8/691/htm | ca_CA |
dc.description.sponsorship | This research was funded by Tertiary Education Trust Fund (TETFUND) of Nigeria while the APC was funded by NG through a voucher. | |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
project.funder.name | Tertiary Education Trust Fund (TETFUND) | ca_CA |
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