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Drought and temporary migration in rural India: A comparative study across different socio-economic groups with a cross-sectional nationally representative dataset
Vast stretches of India comes under meteorological drought this year or the other. A huge population base in rural India are rendered highly vulnerable to this drought because of their primary dependency on agriculture and in turn they may respond through temporary migration out of the drought affec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683024/ https://www.ncbi.nlm.nih.gov/pubmed/36206294 http://dx.doi.org/10.1371/journal.pone.0275449 |
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author | Sarkar, Badsha Dutta, Swarup Singh, Prashant Kumar |
author_facet | Sarkar, Badsha Dutta, Swarup Singh, Prashant Kumar |
author_sort | Sarkar, Badsha |
collection | PubMed |
description | Vast stretches of India comes under meteorological drought this year or the other. A huge population base in rural India are rendered highly vulnerable to this drought because of their primary dependency on agriculture and in turn they may respond through temporary migration out of the drought affected rural areas in search of alternative livelihoods. This study aims to investigate the association between drought and temporary migration in rural India by fitting binary logistic regression models on a cross-sectional dataset involving both National Sample Survey Organization (NSSO) 64(th) round data and India Meteorological Department (IMD) rainfall data. The paper also examines whether this association varies across the different socio-economic groups. Out of the total temporary migrants generated in rural India in the study period, 99.46% migrated internally and 67.12% were rural to urban migrants. The study finds that there is a positive association between drought instances and probability of a household to have at least one temporary migrant member in rural India (OR 1.64 with p<0.001) while controlling all other covariates. The study also concludes that the probability of temporary migration on account of drought is more severe among the socio-economically marginalised sections of the rural population compared to their better-off counterparts. |
format | Online Article Text |
id | pubmed-9683024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96830242022-11-24 Drought and temporary migration in rural India: A comparative study across different socio-economic groups with a cross-sectional nationally representative dataset Sarkar, Badsha Dutta, Swarup Singh, Prashant Kumar PLoS One Research Article Vast stretches of India comes under meteorological drought this year or the other. A huge population base in rural India are rendered highly vulnerable to this drought because of their primary dependency on agriculture and in turn they may respond through temporary migration out of the drought affected rural areas in search of alternative livelihoods. This study aims to investigate the association between drought and temporary migration in rural India by fitting binary logistic regression models on a cross-sectional dataset involving both National Sample Survey Organization (NSSO) 64(th) round data and India Meteorological Department (IMD) rainfall data. The paper also examines whether this association varies across the different socio-economic groups. Out of the total temporary migrants generated in rural India in the study period, 99.46% migrated internally and 67.12% were rural to urban migrants. The study finds that there is a positive association between drought instances and probability of a household to have at least one temporary migrant member in rural India (OR 1.64 with p<0.001) while controlling all other covariates. The study also concludes that the probability of temporary migration on account of drought is more severe among the socio-economically marginalised sections of the rural population compared to their better-off counterparts. Public Library of Science 2022-10-07 /pmc/articles/PMC9683024/ /pubmed/36206294 http://dx.doi.org/10.1371/journal.pone.0275449 Text en © 2022 Sarkar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Sarkar, Badsha Dutta, Swarup Singh, Prashant Kumar Drought and temporary migration in rural India: A comparative study across different socio-economic groups with a cross-sectional nationally representative dataset |
title | Drought and temporary migration in rural India: A comparative study
across different socio-economic groups with a cross-sectional nationally
representative dataset |
title_full | Drought and temporary migration in rural India: A comparative study
across different socio-economic groups with a cross-sectional nationally
representative dataset |
title_fullStr | Drought and temporary migration in rural India: A comparative study
across different socio-economic groups with a cross-sectional nationally
representative dataset |
title_full_unstemmed | Drought and temporary migration in rural India: A comparative study
across different socio-economic groups with a cross-sectional nationally
representative dataset |
title_short | Drought and temporary migration in rural India: A comparative study
across different socio-economic groups with a cross-sectional nationally
representative dataset |
title_sort | drought and temporary migration in rural india: a comparative study
across different socio-economic groups with a cross-sectional nationally
representative dataset |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683024/ https://www.ncbi.nlm.nih.gov/pubmed/36206294 http://dx.doi.org/10.1371/journal.pone.0275449 |
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