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Gender mainstreaming of the impacts of 2012 flood-induced migration on household livelihoods in Nigeria

Gender mainstreaming of the impacts of 2012 flood-induced migration on household livelihoods in... This study examined the impact of the 2012 flood disasters on the livelihoods of migrant male-headed households (MHH) and female-headed households (FHH) in five rural local government areas (LGAs) of South Eastern Nigeria. These LGAs were selected because they are situated on the bank of rivers, are vulnerable to floods, and are among the most badly devastated areas during the 2012 floods. Data were obtained using mixed methods comprising questionnaire surveys and key informant interviews. From each LGA, 60 households totalling 300 households were sampled. Descriptive statistics, asset index technique, and logistic regression were used for data analysis. The aggregate index for the MHHs decreased from 0.4600 before, to 0.1000 after the floods, and from 0.5068 before, to 0.0108 after the floods for the FHHs. Age, occupation, income and education were the most significant predictors of livelihood security for the MHHs while income was the major predictor of livelihood security for the FHHs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Sustainable Development Inderscience Publishers

Gender mainstreaming of the impacts of 2012 flood-induced migration on household livelihoods in Nigeria

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
0960-1406
eISSN
1741-5268
DOI
10.1504/IJSD.2018.100803
Publisher site
See Article on Publisher Site

Abstract

This study examined the impact of the 2012 flood disasters on the livelihoods of migrant male-headed households (MHH) and female-headed households (FHH) in five rural local government areas (LGAs) of South Eastern Nigeria. These LGAs were selected because they are situated on the bank of rivers, are vulnerable to floods, and are among the most badly devastated areas during the 2012 floods. Data were obtained using mixed methods comprising questionnaire surveys and key informant interviews. From each LGA, 60 households totalling 300 households were sampled. Descriptive statistics, asset index technique, and logistic regression were used for data analysis. The aggregate index for the MHHs decreased from 0.4600 before, to 0.1000 after the floods, and from 0.5068 before, to 0.0108 after the floods for the FHHs. Age, occupation, income and education were the most significant predictors of livelihood security for the MHHs while income was the major predictor of livelihood security for the FHHs.

Journal

International Journal of Sustainable DevelopmentInderscience Publishers

Published: Jan 1, 2018

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