Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India

Urbanization proceeds globally and is often driven by migration. Simultaneously, cities face severe exposure to environmental hazards such as floods and heatwaves posing threats to millions of urban households. Consequently, fostering urban households’ resilience is imperative, yet often impeded by...

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Autores principales:	Ann-Christine Link, Yuanzao Zhu, Raphael Karutz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	livelihood resilience migration urbanization extreme events India Agriculture S
Acceso en línea:	https://doaj.org/article/f425bfbe41fb4832bc08a7156d9250b0
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spelling	oai:doaj.org-article:f425bfbe41fb4832bc08a7156d9250b02021-11-25T18:09:10ZQuantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India10.3390/land101111342073-445Xhttps://doaj.org/article/f425bfbe41fb4832bc08a7156d9250b02021-10-01T00:00:00Zhttps://www.mdpi.com/2073-445X/10/11/1134https://doaj.org/toc/2073-445XUrbanization proceeds globally and is often driven by migration. Simultaneously, cities face severe exposure to environmental hazards such as floods and heatwaves posing threats to millions of urban households. Consequently, fostering urban households’ resilience is imperative, yet often impeded by the lack of its accurate assessment. We developed a structural equation model to quantify households’ resilience, considering their assets, housing, and health properties. Based on a household survey (<i>n</i> = 1872), we calculate the resilience of households in Pune, India with and without migration biography and compare different sub-groups. We further analyze how households are exposed to and affected by floods and heatwaves. Our results show that not migration as such but the type of migration, particularly, the residence zone at the migration destination (formal urban or slum) and migration origin (urban or rural) provide insights into households’ resilience and affectedness by extreme weather events. While on average, migrants in our study have higher resilience than non-migrants, the sub-group of rural migrants living in slums score significantly lower than the respective non-migrant cohort. Further characteristics of the migration biography such as migration distance, time since arrival at the destination, and the reasons for migration contribute to households’ resilience. Consequently, the opposing generalized notions in literature of migrants either as the least resilient group or as high performers, need to be overcome as our study shows that within one city, migrants are found both at the top and the bottom of the resilience range. Thus, we recommend that policymakers include migrants’ biographies when assessing their resilience and when designing resilience improvement interventions to help the least resilient migrant groups more effectively.Ann-Christine LinkYuanzao ZhuRaphael KarutzMDPI AGarticlelivelihood resiliencemigrationurbanizationextreme eventsIndiaAgricultureSENLand, Vol 10, Iss 1134, p 1134 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	livelihood resilience migration urbanization extreme events India Agriculture S
spellingShingle	livelihood resilience migration urbanization extreme events India Agriculture S Ann-Christine Link Yuanzao Zhu Raphael Karutz Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India
description	Urbanization proceeds globally and is often driven by migration. Simultaneously, cities face severe exposure to environmental hazards such as floods and heatwaves posing threats to millions of urban households. Consequently, fostering urban households’ resilience is imperative, yet often impeded by the lack of its accurate assessment. We developed a structural equation model to quantify households’ resilience, considering their assets, housing, and health properties. Based on a household survey (<i>n</i> = 1872), we calculate the resilience of households in Pune, India with and without migration biography and compare different sub-groups. We further analyze how households are exposed to and affected by floods and heatwaves. Our results show that not migration as such but the type of migration, particularly, the residence zone at the migration destination (formal urban or slum) and migration origin (urban or rural) provide insights into households’ resilience and affectedness by extreme weather events. While on average, migrants in our study have higher resilience than non-migrants, the sub-group of rural migrants living in slums score significantly lower than the respective non-migrant cohort. Further characteristics of the migration biography such as migration distance, time since arrival at the destination, and the reasons for migration contribute to households’ resilience. Consequently, the opposing generalized notions in literature of migrants either as the least resilient group or as high performers, need to be overcome as our study shows that within one city, migrants are found both at the top and the bottom of the resilience range. Thus, we recommend that policymakers include migrants’ biographies when assessing their resilience and when designing resilience improvement interventions to help the least resilient migrant groups more effectively.
format	article
author	Ann-Christine Link Yuanzao Zhu Raphael Karutz
author_facet	Ann-Christine Link Yuanzao Zhu Raphael Karutz
author_sort	Ann-Christine Link
title	Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India
title_short	Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India
title_full	Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India
title_fullStr	Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India
title_full_unstemmed	Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India
title_sort	quantification of resilience considering different migration biographies: a case study of pune, india
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f425bfbe41fb4832bc08a7156d9250b0
work_keys_str_mv	AT annchristinelink quantificationofresilienceconsideringdifferentmigrationbiographiesacasestudyofpuneindia AT yuanzaozhu quantificationofresilienceconsideringdifferentmigrationbiographiesacasestudyofpuneindia AT raphaelkarutz quantificationofresilienceconsideringdifferentmigrationbiographiesacasestudyofpuneindia
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Quantification of Resilience Considering Different Migration Biographies: A Case Study of Pune, India

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