Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models

We examined what type of information network structures lie within rural cooperatives and what these structures mean for promoting resource-conserving agriculture. To better understand whether and how environmental outcomes are linked to these microlevel social relations or network structures, we qu...

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Autores principales:	Hanson Nyantakyi-Frimpong, Petr Matou, Marney E. Isaac
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2019
Materias:	agroforestry climate change adaptation and mitigation ergms resource-conserving agriculture social network analysis <span style="font-style: normal">theobroma cacao</span> Biology (General) QH301-705.5 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/391fbd08e5114c54b808653380470fb7
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spelling	oai:doaj.org-article:391fbd08e5114c54b808653380470fb72021-12-02T11:25:41ZSmallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models1708-308710.5751/ES-10623-240105https://doaj.org/article/391fbd08e5114c54b808653380470fb72019-03-01T00:00:00Zhttp://www.ecologyandsociety.org/vol24/iss1/art5/https://doaj.org/toc/1708-3087We examined what type of information network structures lie within rural cooperatives and what these structures mean for promoting resource-conserving agriculture. To better understand whether and how environmental outcomes are linked to these microlevel social relations or network structures, we quantified individual farm- and community-level biomass accumulation and carbon stocks associated with the adoption of agroforestry, a set of farming techniques for climate change mitigation, adaptation, and resilience. We also collected social network data on individual farmers across five communities. This empirical evidence was derived from primary fieldwork conducted in the Ghanaian semideciduous cocoa (Theobroma cacao)-growing region. This data set was examined using standard network analysis, combined with exponential random graph models (ERGMs). The key findings suggest that farmers with more biomass accumulation from the adoption of agroforestry practices also tend to be popular advisers to their peers at the local level. Presumably, farmers seek peers who demonstrate clear signs of achieving successful land management goals. Using ERGMs, we also show that commonly observed individual-level results might not scale to the collective level. We discuss how our individual-scale findings could be leveraged to foster farmer-to-farmer social learning and knowledge exchange associated with resource-conserving agricultural practices. However, we also highlight that effective whole networks, such as cooperative collectives in these communities, remain elusive.Hanson Nyantakyi-FrimpongPetr MatouMarney E. IsaacResilience Alliancearticleagroforestryclimate change adaptation and mitigationergmsresource-conserving agriculturesocial network analysis<span style="font-style: normal">theobroma cacao</span>Biology (General)QH301-705.5EcologyQH540-549.5ENEcology and Society, Vol 24, Iss 1, p 5 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	agroforestry climate change adaptation and mitigation ergms resource-conserving agriculture social network analysis <span style="font-style: normal">theobroma cacao</span> Biology (General) QH301-705.5 Ecology QH540-549.5
spellingShingle	agroforestry climate change adaptation and mitigation ergms resource-conserving agriculture social network analysis <span style="font-style: normal">theobroma cacao</span> Biology (General) QH301-705.5 Ecology QH540-549.5 Hanson Nyantakyi-Frimpong Petr Matou Marney E. Isaac Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models
description	We examined what type of information network structures lie within rural cooperatives and what these structures mean for promoting resource-conserving agriculture. To better understand whether and how environmental outcomes are linked to these microlevel social relations or network structures, we quantified individual farm- and community-level biomass accumulation and carbon stocks associated with the adoption of agroforestry, a set of farming techniques for climate change mitigation, adaptation, and resilience. We also collected social network data on individual farmers across five communities. This empirical evidence was derived from primary fieldwork conducted in the Ghanaian semideciduous cocoa (Theobroma cacao)-growing region. This data set was examined using standard network analysis, combined with exponential random graph models (ERGMs). The key findings suggest that farmers with more biomass accumulation from the adoption of agroforestry practices also tend to be popular advisers to their peers at the local level. Presumably, farmers seek peers who demonstrate clear signs of achieving successful land management goals. Using ERGMs, we also show that commonly observed individual-level results might not scale to the collective level. We discuss how our individual-scale findings could be leveraged to foster farmer-to-farmer social learning and knowledge exchange associated with resource-conserving agricultural practices. However, we also highlight that effective whole networks, such as cooperative collectives in these communities, remain elusive.
format	article
author	Hanson Nyantakyi-Frimpong Petr Matou Marney E. Isaac
author_facet	Hanson Nyantakyi-Frimpong Petr Matou Marney E. Isaac
author_sort	Hanson Nyantakyi-Frimpong
title	Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models
title_short	Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models
title_full	Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models
title_fullStr	Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models
title_full_unstemmed	Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models
title_sort	smallholder farmers' social networks and resource-conserving agriculture in ghana: a multicase comparison using exponential random graph models
publisher	Resilience Alliance
publishDate	2019
url	https://doaj.org/article/391fbd08e5114c54b808653380470fb7
work_keys_str_mv	AT hansonnyantakyifrimpong smallholderfarmerssocialnetworksandresourceconservingagricultureinghanaamulticasecomparisonusingexponentialrandomgraphmodels AT petrmatou smallholderfarmerssocialnetworksandresourceconservingagricultureinghanaamulticasecomparisonusingexponentialrandomgraphmodels AT marneyeisaac smallholderfarmerssocialnetworksandresourceconservingagricultureinghanaamulticasecomparisonusingexponentialrandomgraphmodels
_version_	1718395932345630720

Smallholder farmers' social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models

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