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Title: A critical analysis of the drivers of human migration patterns in the presence of climate change: A new conceptual model
Authors: Parrish, R
Colbourn, T
Lauriola, P
Leonardi, G
Hajat, S
Zeka, A
Keywords: climate change adaptation;migration;climate migration;environmental migration;migration typology;global health;planetary health
Issue Date: 19-Aug-2020
Publisher: MDPI
Citation: Parrish, R., Colbourn, T., Lauriola, P., Leonardi, G., Hajat, S. and Zeka, A. (2020) ‘A Critical Analysis of the Drivers of Human Migration Patterns in the Presence of Climate Change: A New Conceptual Model’, International Journal of Environmental Research and Public Health, 17 (17), 6036, pp. 1 - 20. doi: 10.3390/ijerph17176036.
Abstract: Copyright © 2020 by the authors. Both climate change and migration present key concerns for global health progress. Despite this, a transparent method for identifying and understanding the relationship between climate change, migration and other contextual factors remains a knowledge gap. Existing conceptual models are useful in understanding the complexities of climate migration, but provide varying degrees of applicability to quantitative studies, resulting in non-homogenous transferability of knowledge in this important area. This paper attempts to provide a critical review of climate migration literature, as well as presenting a new conceptual model for the identification of the drivers of migration in the context of climate change. It focuses on the interactions and the dynamics of drivers over time, space and society. Through systematic, pan-disciplinary and homogenous application of theory to different geographical contexts, we aim to improve understanding of the impacts of climate change on migration. A brief case study of Malawi is provided to demonstrate how this global conceptual model can be applied into local contextual scenarios. In doing so, we hope to provide insights that help in the more homogenous applications of conceptual frameworks for this area and more generally.
ISSN: 1661-7827
Other Identifiers: 6036
Appears in Collections:Dept of Life Sciences Research Papers

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