Pathways out of poverty through the lens of development resilience: an agent-based simulation

Poverty alleviation for smallholders must consider the increasingly varied and intertwined impacts of climate change and globalization. This calls for a resilience perspective that includes eradication of poverty and resilience enhancement under extreme events and shocks. Applying the framework of d...

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Autores principales:	Yue Dou, Peter J. Deadman, Marta Berbés-Blázquez, Nathan D. Vogt, Oriana Almeida
Formato:	article
Lenguaje:	EN
Publicado:	Resilience Alliance 2020
Materias:	agent-based model development resilience livelihood poverty poverty trap smallholder Biology (General) QH301-705.5 Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/02a6e601002a4cfdbf75d028e651dcad
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id	oai:doaj.org-article:02a6e601002a4cfdbf75d028e651dcad
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spelling	oai:doaj.org-article:02a6e601002a4cfdbf75d028e651dcad2021-12-02T14:21:36ZPathways out of poverty through the lens of development resilience: an agent-based simulation1708-308710.5751/ES-11842-250403https://doaj.org/article/02a6e601002a4cfdbf75d028e651dcad2020-12-01T00:00:00Zhttps://www.ecologyandsociety.org/vol25/iss4/art3/https://doaj.org/toc/1708-3087Poverty alleviation for smallholders must consider the increasingly varied and intertwined impacts of climate change and globalization. This calls for a resilience perspective that includes eradication of poverty and resilience enhancement under extreme events and shocks. Applying the framework of development resilience, we constructed an agent-based model based on small farming households in the Amazon Delta region in Brazil, and we used it to identify pathways out of poverty and sources for resilience among these households. The model allows us to explore the nonlinearity and heterogeneous nature of the smallholder livelihood systems, including how different household characteristics and livelihood strategies contribute to divergent livelihood outcomes. Using a unique yet simple tracking method, we were able to show the stochastic dynamics of individual household livelihoods in the face of various shocks, and how these households move in and out of different states of poverty over time (i.e., extremely poor, chronic poor, and nonpoor). By comparing traits of households that ended up in different states, we showed the need for targeted interventions for alternative livelihood strategies and key resources improvement. Different from conventional poverty alleviation programs, our findings emphasize empowering smallholders with different livelihood options. This has practical implications in terms of identifying leverage points in smallholder livelihood systems (e.g., livelihood strategy, land resources) that government and other agencies can use to intervene more effectively for households to become prosperous.Yue DouPeter J. DeadmanMarta Berbés-BlázquezNathan D. VogtOriana AlmeidaResilience Alliancearticleagent-based modeldevelopment resiliencelivelihoodpovertypoverty trapsmallholderBiology (General)QH301-705.5EcologyQH540-549.5ENEcology and Society, Vol 25, Iss 4, p 3 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	agent-based model development resilience livelihood poverty poverty trap smallholder Biology (General) QH301-705.5 Ecology QH540-549.5
spellingShingle	agent-based model development resilience livelihood poverty poverty trap smallholder Biology (General) QH301-705.5 Ecology QH540-549.5 Yue Dou Peter J. Deadman Marta Berbés-Blázquez Nathan D. Vogt Oriana Almeida Pathways out of poverty through the lens of development resilience: an agent-based simulation
description	Poverty alleviation for smallholders must consider the increasingly varied and intertwined impacts of climate change and globalization. This calls for a resilience perspective that includes eradication of poverty and resilience enhancement under extreme events and shocks. Applying the framework of development resilience, we constructed an agent-based model based on small farming households in the Amazon Delta region in Brazil, and we used it to identify pathways out of poverty and sources for resilience among these households. The model allows us to explore the nonlinearity and heterogeneous nature of the smallholder livelihood systems, including how different household characteristics and livelihood strategies contribute to divergent livelihood outcomes. Using a unique yet simple tracking method, we were able to show the stochastic dynamics of individual household livelihoods in the face of various shocks, and how these households move in and out of different states of poverty over time (i.e., extremely poor, chronic poor, and nonpoor). By comparing traits of households that ended up in different states, we showed the need for targeted interventions for alternative livelihood strategies and key resources improvement. Different from conventional poverty alleviation programs, our findings emphasize empowering smallholders with different livelihood options. This has practical implications in terms of identifying leverage points in smallholder livelihood systems (e.g., livelihood strategy, land resources) that government and other agencies can use to intervene more effectively for households to become prosperous.
format	article
author	Yue Dou Peter J. Deadman Marta Berbés-Blázquez Nathan D. Vogt Oriana Almeida
author_facet	Yue Dou Peter J. Deadman Marta Berbés-Blázquez Nathan D. Vogt Oriana Almeida
author_sort	Yue Dou
title	Pathways out of poverty through the lens of development resilience: an agent-based simulation
title_short	Pathways out of poverty through the lens of development resilience: an agent-based simulation
title_full	Pathways out of poverty through the lens of development resilience: an agent-based simulation
title_fullStr	Pathways out of poverty through the lens of development resilience: an agent-based simulation
title_full_unstemmed	Pathways out of poverty through the lens of development resilience: an agent-based simulation
title_sort	pathways out of poverty through the lens of development resilience: an agent-based simulation
publisher	Resilience Alliance
publishDate	2020
url	https://doaj.org/article/02a6e601002a4cfdbf75d028e651dcad
work_keys_str_mv	AT yuedou pathwaysoutofpovertythroughthelensofdevelopmentresilienceanagentbasedsimulation AT peterjdeadman pathwaysoutofpovertythroughthelensofdevelopmentresilienceanagentbasedsimulation AT martaberbesblazquez pathwaysoutofpovertythroughthelensofdevelopmentresilienceanagentbasedsimulation AT nathandvogt pathwaysoutofpovertythroughthelensofdevelopmentresilienceanagentbasedsimulation AT orianaalmeida pathwaysoutofpovertythroughthelensofdevelopmentresilienceanagentbasedsimulation
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Pathways out of poverty through the lens of development resilience: an agent-based simulation

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