A geospatial analysis of the social, economic and environmental dimensions and drivers of poverty in south-west coastal Bangladesh
A geospatial analysis of the social, economic and environmental dimensions and drivers of poverty in south-west coastal Bangladesh
Census and spatial data are used to analyse geographical variations in poverty and identify the key socio-economic and environmental drivers of poverty. Results show a strong clustering of poverty within the study area with multivariate analysis indicating a significant association with environmental predictors. However, whilst increasing intensity of salinity intrusion is significantly associated with poverty, neither large shrimp nor freshwater prawn farms impact on poverty. The strong association identified between salinity intrusion and poverty could be attributed to loss of arable land, reduced agricultural productivity and income, food insecurity, rural unemployment, social unrest, conflicts and forced migration. This analysis provides important inputs to the integrated analysis of coastal Bangladesh and the delta.
383-403
Amoako Johnson, Fiifi
e348fd15-9fe2-472f-a701-2980b8cec4d5
Hutton, Craig W.
9102617b-caf7-4538-9414-c29e72f5fe2e
May 2018
Amoako Johnson, Fiifi
e348fd15-9fe2-472f-a701-2980b8cec4d5
Hutton, Craig W.
9102617b-caf7-4538-9414-c29e72f5fe2e
Amoako Johnson, Fiifi and Hutton, Craig W.
(2018)
A geospatial analysis of the social, economic and environmental dimensions and drivers of poverty in south-west coastal Bangladesh.
In,
Nicholls, Robert J., Hutton, Craig W., Adger, W. Neil, Hanson, Susan E., Rahman, Md. Munsur and Salehin, Mashfiqus
(eds.)
Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis.
Palgrave Macmillan Cham, .
(doi:10.1007/978-3-319-71093-8_21).
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Book Section
Abstract
Census and spatial data are used to analyse geographical variations in poverty and identify the key socio-economic and environmental drivers of poverty. Results show a strong clustering of poverty within the study area with multivariate analysis indicating a significant association with environmental predictors. However, whilst increasing intensity of salinity intrusion is significantly associated with poverty, neither large shrimp nor freshwater prawn farms impact on poverty. The strong association identified between salinity intrusion and poverty could be attributed to loss of arable land, reduced agricultural productivity and income, food insecurity, rural unemployment, social unrest, conflicts and forced migration. This analysis provides important inputs to the integrated analysis of coastal Bangladesh and the delta.
Text
chapter_10.1007_978-3-319-71093-8_21
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e-pub ahead of print date: 30 May 2018
Published date: May 2018
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Local EPrints ID: 423593
URI: http://eprints.soton.ac.uk/id/eprint/423593
PURE UUID: 49f44c15-2c4a-4a8a-8fc4-bd697d935761
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Date deposited: 27 Sep 2018 16:30
Last modified: 06 Jun 2024 01:39
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Contributors
Author:
Fiifi Amoako Johnson
Editor:
Robert J. Nicholls
Editor:
Craig W. Hutton
Editor:
W. Neil Adger
Editor:
Susan E. Hanson
Editor:
Md. Munsur Rahman
Editor:
Mashfiqus Salehin
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