Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi

The lead farmer (LF) approach has been implemented and heavily promoted nationwide in Malawi since 2009 to support government extension workers and accelerate technology dissemination. Earlier reports have shown that donor-funded projects in Malawi widely adopted the LF approach, indicating positive...

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Autor principal: Ragasa, Catherine
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2019
Materias:
Acceso en línea:https://hdl.handle.net/10568/145440
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author Ragasa, Catherine
author_browse Ragasa, Catherine
author_facet Ragasa, Catherine
author_sort Ragasa, Catherine
collection Repository of Agricultural Research Outputs (CGSpace)
description The lead farmer (LF) approach has been implemented and heavily promoted nationwide in Malawi since 2009 to support government extension workers and accelerate technology dissemination. Earlier reports have shown that donor-funded projects in Malawi widely adopted the LF approach, indicating positive roles and contributions of LFs. However, national data show persistently low rates of adoption of management practices being promoted by the LFs, prompting this study to look closely at the nationwide implementation and effectiveness of the LF approach. Specifically, we model the effects of farmers’ interaction with and exposure to LFs and farmers’ access to LFs’ advice on farmers’ awareness of and adoption of several promoted technologies and management practices. We use data from 531 randomly selected LFs linked to panel data from 2,800 farming households and, using correlated random effects, model the effectiveness of the LF approach on technology awareness and adoption. This is complemented by 55 focus group discussions and in-depth interviews with agricultural extension development officers (AEDOs) and service providers. Our results point to two major conclusions. First, LFs support and assist AEDOs in their work, especially in organizing community meetings and farm demonstrations, and are also an important bridge between farmers and AEDOs. But LFs complement AEDOs’ work rather than substitute for it. In communities without strong AEDOs and community leaders to work with and monitor them, LFs were not active or performed at a substandard level. Second, results show limited coverage and weak implementation and effectiveness of the LF approach at the national level. Only 13 percent of farmers reported receiving agricultural advice from an LF in the last two years, and only 20 percent reported having interacted with an LF. Our econometric models also consistently show neither the farmers’ exposure or interaction with LFs nor farmers’ access to LFs’ advice had an effect on awareness of and adoption of the major agricultural management practices being promoted. When heterogeneity and types of LFs are unpacked, results show that quality of LFs, adoption behavior of LFs, and regular training of LFs have strong and consistent effect on the awareness and adoption of most agricultural practices promoted.
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spelling CGSpace1454402025-11-06T06:03:24Z Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi Ragasa, Catherine extension programmes agricultural extension sustainable land management capacity development conservation agriculture advisory officers skill training The lead farmer (LF) approach has been implemented and heavily promoted nationwide in Malawi since 2009 to support government extension workers and accelerate technology dissemination. Earlier reports have shown that donor-funded projects in Malawi widely adopted the LF approach, indicating positive roles and contributions of LFs. However, national data show persistently low rates of adoption of management practices being promoted by the LFs, prompting this study to look closely at the nationwide implementation and effectiveness of the LF approach. Specifically, we model the effects of farmers’ interaction with and exposure to LFs and farmers’ access to LFs’ advice on farmers’ awareness of and adoption of several promoted technologies and management practices. We use data from 531 randomly selected LFs linked to panel data from 2,800 farming households and, using correlated random effects, model the effectiveness of the LF approach on technology awareness and adoption. This is complemented by 55 focus group discussions and in-depth interviews with agricultural extension development officers (AEDOs) and service providers. Our results point to two major conclusions. First, LFs support and assist AEDOs in their work, especially in organizing community meetings and farm demonstrations, and are also an important bridge between farmers and AEDOs. But LFs complement AEDOs’ work rather than substitute for it. In communities without strong AEDOs and community leaders to work with and monitor them, LFs were not active or performed at a substandard level. Second, results show limited coverage and weak implementation and effectiveness of the LF approach at the national level. Only 13 percent of farmers reported receiving agricultural advice from an LF in the last two years, and only 20 percent reported having interacted with an LF. Our econometric models also consistently show neither the farmers’ exposure or interaction with LFs nor farmers’ access to LFs’ advice had an effect on awareness of and adoption of the major agricultural management practices being promoted. When heterogeneity and types of LFs are unpacked, results show that quality of LFs, adoption behavior of LFs, and regular training of LFs have strong and consistent effect on the awareness and adoption of most agricultural practices promoted. 2019-06-14 2024-06-21T09:04:30Z 2024-06-21T09:04:30Z Working Paper https://hdl.handle.net/10568/145440 en https://doi.org/10.1016/j.gfs.2018.12.007 https://doi.org/10.1016/j.worlddev.2017.12.004 https://doi.org/10.1016/j.agsy.2018.06.003 https://doi.org/10.1016/j.landusepol.2020.104966 https://hdl.handle.net/10568/148499 https://doi.org/10.2499/1024320474 Open Access application/pdf International Food Policy Research Institute Ragasa, Catherine. 2019. Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi. IFPRI Discussion Paper 1848. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/145440
spellingShingle extension programmes
agricultural extension
sustainable land management
capacity development
conservation agriculture
advisory officers
skill training
Ragasa, Catherine
Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi
title Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi
title_full Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi
title_fullStr Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi
title_full_unstemmed Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi
title_short Modeling the effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi
title_sort modeling the effectiveness of the lead farmer approach in agricultural extension service provision nationally representative panel data analysis in malawi
topic extension programmes
agricultural extension
sustainable land management
capacity development
conservation agriculture
advisory officers
skill training
url https://hdl.handle.net/10568/145440
work_keys_str_mv AT ragasacatherine modelingtheeffectivenessoftheleadfarmerapproachinagriculturalextensionserviceprovisionnationallyrepresentativepaneldataanalysisinmalawi