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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Main Authors: Adeolu Babatunde Ayanwale, Temitope Oluwaseun Ojo, Adewale Adolphous Adekunle
Format: Article
Language:English
Published: Elsevier 2023-05-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023032334
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author Adeolu Babatunde Ayanwale
Temitope Oluwaseun Ojo
Adewale Adolphous Adekunle
author_facet Adeolu Babatunde Ayanwale
Temitope Oluwaseun Ojo
Adewale Adolphous Adekunle
author_sort Adeolu Babatunde Ayanwale
collection DOAJ
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 doaj.art-9f15f80e3a1b4402802cb475d3386efa2023-05-31T04:46:21ZengElsevierHeliyon2405-84402023-05-0195e16026Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in NigeriaAdeolu Babatunde Ayanwale0Temitope Oluwaseun Ojo1Adewale Adolphous Adekunle2Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, NigeriaDepartment of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Nigeria; Disaster Management Training and Education Centre for Africa at the University of the Free State, P.O Box 339 Bloemfontein, 9300, South Africa; Corresponding author. Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife, Nigeria.Commonwealth of Learning, 4710 Kingsway, Suite 2500, Burnaby V5H 4M2, British Columbia, CanadaThis 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.http://www.sciencedirect.com/science/article/pii/S2405844023032334Innovation platformIncomeMaizeIV-QTE
spellingShingle Adeolu Babatunde Ayanwale
Temitope Oluwaseun Ojo
Adewale Adolphous Adekunle
Estimating the distributional impact of innovation platforms on income of smallholder maize farmers in Nigeria
Heliyon
Innovation platform
Income
Maize
IV-QTE
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 Innovation platform
Income
Maize
IV-QTE
url http://www.sciencedirect.com/science/article/pii/S2405844023032334
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AT adewaleadolphousadekunle estimatingthedistributionalimpactofinnovationplatformsonincomeofsmallholdermaizefarmersinnigeria