Implications of poverty traps across levels

dc.contributor.authorRadosavljevic, Sonja
dc.contributor.authorHaider, L. Jamila
dc.contributor.authorLade, Steven
dc.contributor.authorSchlüter, Maja
dc.date.accessioned2022-10-27T22:02:08Z
dc.date.available2022-10-27T22:02:08Z
dc.date.issued2021
dc.date.updated2021-11-28T07:25:17Z
dc.description.abstractRecent research has demonstrated the multidimensional nature of poverty and the multi-level organization of social-ecological systems that display poverty traps. The traps on these different levels can reinforce each other, and therefore multi-level traps pose particular challenges for poverty alleviation. Yet, poverty trap models rarely consider more than one level of organization and only a few attributes of the system at each level. These limitations constrain our understanding of the mechanisms that generate poverty traps and may hinder or even mislead development efforts. Here, we present a series of two-level dynamical system models of poverty traps and use these models to investigate the combined influences of biophysical and economic factors, farmers’ habits and community decisions on creating and alleviating persistent poverty. Our results indicate that neglecting key interactions can lead to incorrect assessments and potentially inadequate alleviation strategies. Moreover, we obtain necessary conditions for the existence of fractal poverty traps, and show that (i) cross-level interactions can open possibilities for escaping from poverty, (ii) that farmers’ behavioral changes may create or impede a way out of poverty, and (iii) that the effectiveness of development interventions depends on the combined influences of biophysical and economic dynamics, farmers’ behavior and community spending on agricultural and social activities.en_AU
dc.description.sponsorshipThe research leading to these results received funding from the Sida-funded GRAID program at the Stockholm Resilience Centre, the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 682472 – MUSES), the Swedish Research Council Formas (project grant 2014-589), and the Swedish Research Council Vetenskapsr?det (project grant 2018-06732).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0305-750Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/276229
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_AU
dc.publisherPergamon-Elsevier Ltden_AU
dc.rights© 2021 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceWorld Developmenten_AU
dc.subjectpoverty trapen_AU
dc.subjectMultilevel agro-ecological systemen_AU
dc.subjectCross-level interactionsen_AU
dc.subjectDynamical systems modelen_AU
dc.subjectBistabilityen_AU
dc.titleImplications of poverty traps across levelsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.contributor.affiliationRadosavljevic, Sonja, Stockholm Universityen_AU
local.contributor.affiliationHaider, L. Jamila, Stockholm Universityen_AU
local.contributor.affiliationLade, Steven, College of Science, ANUen_AU
local.contributor.affiliationSchlüter , Maja, Stockholm Universityen_AU
local.contributor.authoremailu4370033@anu.edu.auen_AU
local.contributor.authoruidLade, Steven, u4370033en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor410400 - Environmental managementen_AU
local.identifier.absseo280111 - Expanding knowledge in the environmental sciencesen_AU
local.identifier.ariespublicationa383154xPUB18931en_AU
local.identifier.citationvolume144en_AU
local.identifier.doi10.1016/j.worlddev.2021.105437en_AU
local.identifier.scopusID2-s2.0-85103935509
local.identifier.uidSubmittedBya383154en_AU
local.publisher.urlhttps://www.sciencedirect.com/en_AU
local.type.statusPublished Versionen_AU

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