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Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model

The assimilation of refugees into their host community economic structures is often problematic. The paper investigates the ability of refugees in rural South Africa to accumulate assets over time relative to their host community. Bayesian spatial–temporal modelling was employed to analyse a longitu...

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Autores principales: Sartorius, Kurt, Sartorius, Benn, Tollman, Stephen, Schatz, Enid, Kirsten, Johann, Collinson, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860329/
https://www.ncbi.nlm.nih.gov/pubmed/24348199
http://dx.doi.org/10.1002/psp.697
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author Sartorius, Kurt
Sartorius, Benn
Tollman, Stephen
Schatz, Enid
Kirsten, Johann
Collinson, Mark
author_facet Sartorius, Kurt
Sartorius, Benn
Tollman, Stephen
Schatz, Enid
Kirsten, Johann
Collinson, Mark
author_sort Sartorius, Kurt
collection PubMed
description The assimilation of refugees into their host community economic structures is often problematic. The paper investigates the ability of refugees in rural South Africa to accumulate assets over time relative to their host community. Bayesian spatial–temporal modelling was employed to analyse a longitudinal database that indicated that the asset accumulation rate of former Mozambican refugee households was similar to their host community; however, they were unable to close the wealth gap. A series of geo-statistical wealth maps illustrate that there is a spatial element to the higher levels of absolute poverty in the former refugee villages. The primary reason for this is their physical location in drier conditions that are established further away from facilities and infrastructure. Neighbouring South African villages in close proximity, however, display lower levels of absolute poverty, suggesting that the spatial location of the refugees only partially explains their disadvantaged situation. In this regard, the results indicate that the wealth of former refugee households continues to be more compromised by higher mortality levels, poorer education, and less access to high-return employment opportunities. The long-term impact of low initial asset status appears to be perpetuated in this instance by difficulties in obtaining legal status in order to access state pensions, facilities, and opportunities. The usefulness of the results is that they can be used to sharpen the targeting of differentiated policy in a given geographical area for refugee communities in rural Africa. Copyright © 2011 John Wiley & Sons, Ltd.
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spelling pubmed-38603292013-12-12 Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model Sartorius, Kurt Sartorius, Benn Tollman, Stephen Schatz, Enid Kirsten, Johann Collinson, Mark Popul Space Place Research Articles The assimilation of refugees into their host community economic structures is often problematic. The paper investigates the ability of refugees in rural South Africa to accumulate assets over time relative to their host community. Bayesian spatial–temporal modelling was employed to analyse a longitudinal database that indicated that the asset accumulation rate of former Mozambican refugee households was similar to their host community; however, they were unable to close the wealth gap. A series of geo-statistical wealth maps illustrate that there is a spatial element to the higher levels of absolute poverty in the former refugee villages. The primary reason for this is their physical location in drier conditions that are established further away from facilities and infrastructure. Neighbouring South African villages in close proximity, however, display lower levels of absolute poverty, suggesting that the spatial location of the refugees only partially explains their disadvantaged situation. In this regard, the results indicate that the wealth of former refugee households continues to be more compromised by higher mortality levels, poorer education, and less access to high-return employment opportunities. The long-term impact of low initial asset status appears to be perpetuated in this instance by difficulties in obtaining legal status in order to access state pensions, facilities, and opportunities. The usefulness of the results is that they can be used to sharpen the targeting of differentiated policy in a given geographical area for refugee communities in rural Africa. Copyright © 2011 John Wiley & Sons, Ltd. John Wiley & Sons, Ltd 2013-01 2011-11-02 /pmc/articles/PMC3860329/ /pubmed/24348199 http://dx.doi.org/10.1002/psp.697 Text en Copyright © 2011 John Wiley & Sons, Ltd. http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the terms of the Creative Commons License, which permits use and distribution in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Sartorius, Kurt
Sartorius, Benn
Tollman, Stephen
Schatz, Enid
Kirsten, Johann
Collinson, Mark
Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model
title Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model
title_full Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model
title_fullStr Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model
title_full_unstemmed Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model
title_short Rural Poverty Dynamics and Refugee Communities in South Africa: A Spatial–Temporal Model
title_sort rural poverty dynamics and refugee communities in south africa: a spatial–temporal model
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860329/
https://www.ncbi.nlm.nih.gov/pubmed/24348199
http://dx.doi.org/10.1002/psp.697
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