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Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria

This research studies the distributional effects of IP adoption on the farm income of smallholder maize farmers in Nigeria in an effort to move beyond the standard mean impact assessment of agricultural interventions. In order to account for selection bias that may result from both observed and unob...

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Detalles Bibliográficos
Autores principales: Ayanwale, Adeolu Babatunde, Ojo, Temitope Oluwaseun, Adekunle, Adewale Adolphous
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208796/
https://www.ncbi.nlm.nih.gov/pubmed/37234640
http://dx.doi.org/10.1016/j.heliyon.2023.e16026
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author Ayanwale, Adeolu Babatunde
Ojo, Temitope Oluwaseun
Adekunle, Adewale Adolphous
author_facet Ayanwale, Adeolu Babatunde
Ojo, Temitope Oluwaseun
Adekunle, Adewale Adolphous
author_sort Ayanwale, Adeolu Babatunde
collection PubMed
description This research studies the distributional effects of IP adoption on the farm income of smallholder maize farmers in Nigeria in an effort to move beyond the standard mean impact assessment of agricultural interventions. In order to account for selection bias that may result from both observed and unobserved factors, the study used a conditional instrumental variable quantile treatment effects (IV-QTE) strategy. The use of IPs greatly affects the revenue distributions of maize producers, as empirical evidence from the outcomes shows. Particularly, the impacts of adoption are stronger at the lower tails and just above the mean of the income distributions, indicating that impoverished farming households benefit more from the strategic functions of IP adoption in boosting income. These findings highlight how important it is to effectively target and disseminate improved agricultural technologies in order to increase the revenue of smallholder maize farmers in Nigeria from maize production. Agricultural research information and access to extension services are two policy tools that can help improve the successful adoption and diffusion of any agricultural intervention without favoring any particular groups.
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spelling pubmed-102087962023-05-25 Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria Ayanwale, Adeolu Babatunde Ojo, Temitope Oluwaseun Adekunle, Adewale Adolphous Heliyon Research Article This research studies the distributional effects of IP adoption on the farm income of smallholder maize farmers in Nigeria in an effort to move beyond the standard mean impact assessment of agricultural interventions. In order to account for selection bias that may result from both observed and unobserved factors, the study used a conditional instrumental variable quantile treatment effects (IV-QTE) strategy. The use of IPs greatly affects the revenue distributions of maize producers, as empirical evidence from the outcomes shows. Particularly, the impacts of adoption are stronger at the lower tails and just above the mean of the income distributions, indicating that impoverished farming households benefit more from the strategic functions of IP adoption in boosting income. These findings highlight how important it is to effectively target and disseminate improved agricultural technologies in order to increase the revenue of smallholder maize farmers in Nigeria from maize production. Agricultural research information and access to extension services are two policy tools that can help improve the successful adoption and diffusion of any agricultural intervention without favoring any particular groups. Elsevier 2023-05-13 /pmc/articles/PMC10208796/ /pubmed/37234640 http://dx.doi.org/10.1016/j.heliyon.2023.e16026 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ayanwale, Adeolu Babatunde
Ojo, Temitope Oluwaseun
Adekunle, Adewale Adolphous
Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
title Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
title_full Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
title_fullStr Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
title_full_unstemmed Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
title_short Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
title_sort estimating the distributional impact of innovation platforms on income of smallholder maize farmers in nigeria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208796/
https://www.ncbi.nlm.nih.gov/pubmed/37234640
http://dx.doi.org/10.1016/j.heliyon.2023.e16026
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