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Does translocality influence climate change adaption of rural farming households? : evidence from Arochukwu, southeast Nigeria

  • Impacts of climate change are a burden for many rural communities in the global south, and particularly affect vulnerable farming households, that depend on agriculture for their sustenance. Understanding how vulnerable rural migrant households respond to this, from a translocal perspective can help to build households’ resilience to climate change. While studies in Nigeria have assessed the impact of migration as a means of adaptation, studies assessing the influence of vulnerable households, using this approach is limited. This study therefore assessed how translocality influence adaptation to climate change, for vulnerable rural households in Arochukwu, southeast Nigeria. To achieve this objective, a multistage purposive random sampling technique was used to collect data from rural farm households. Primary data were collected from the households in the Area of Origin (AoO) and Area of Destination (AoD) using survey and interviews, and analysed using mixed methods analysis. Results indicate that rainfall variability and highImpacts of climate change are a burden for many rural communities in the global south, and particularly affect vulnerable farming households, that depend on agriculture for their sustenance. Understanding how vulnerable rural migrant households respond to this, from a translocal perspective can help to build households’ resilience to climate change. While studies in Nigeria have assessed the impact of migration as a means of adaptation, studies assessing the influence of vulnerable households, using this approach is limited. This study therefore assessed how translocality influence adaptation to climate change, for vulnerable rural households in Arochukwu, southeast Nigeria. To achieve this objective, a multistage purposive random sampling technique was used to collect data from rural farm households. Primary data were collected from the households in the Area of Origin (AoO) and Area of Destination (AoD) using survey and interviews, and analysed using mixed methods analysis. Results indicate that rainfall variability and high temperature are the most risks encountered, resulting in crop losses. As a means of adaptation, migrant and non-migrant households engage in off-season migration to urban and rural areas, with more migrant households engaging in off-season rural-urban and rural-rural migration. Among migrant households, flow of resources occur, with the type of item determining the medium of exchange; while households in the AoO pay less attention to agricultural investment. Migrant and non-migrant households also differ significantly in terms of the number of adaptation measures employed. Findings from the empirical analysis on the influence of translocality on adaptation indicate that, perception of climate change, household size, and the transfer of ideas, knowledge, and innovation by migrants to their households in the AoO significantly influence adaptation of rural farming households. The research makes a case for consideration of translocality in national adaptation plans, aimed at building resilience of rural households in Southeast Nigeria.show moreshow less

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Metadaten
Author:Ikenna V. Ejiba, Adeola O. Olajide
URN:urn:nbn:de:bvb:739-opus4-15773
DOI:https://doi.org/10.15475/mitrawa.upa5
Series (Serial Number):Migration, translocality and development in times of climate change. Mitra|WA Working Paper Series (5)
Editor:Christian UngruheORCiD, Stefanie Wehner
Document Type:Report
Language:English
Year of Completion:2025
Date of Publication (online):2025/04/25
Date of first Publication:2025/04/25
Publishing Institution:Universität Passau
Release Date:2025/04/25
Tag:Adaption; Climate Change; Migration; Southeast Nigeria; Translocality; Vulnerability
Issue:5
Page Number:10 Seiten
Institutes:Sozial- und Bildungswissenschaftliche Fakultät
Dewey Decimal Classification:3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften
6 Technik, Medizin, angewandte Wissenschaften / 63 Landwirtschaft / 630 Landwirtschaft und verwandte Bereiche
open_access (DINI-Set):open_access
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International