Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire

<p>Abstract</p> <p>Background</p> <p>Current conceptual frameworks on the interrelationship between armed conflict and poverty are based primarily on aggregated macro-level data and/or qualitative evidence and usually focus on adherents of warring factions. In contrast,...

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Main Authors: Fürst Thomas, Tschannen Andres B, Raso Giovanna, Acka Cinthia A, de Savigny Don, Girardin Olivier, N'Goran Eliézer K, Utzinger Jürg
Format: Article
Language:English
Published: BMC 2010-08-01
Series:Emerging Themes in Epidemiology
Online Access:http://www.ete-online.com/content/7/1/6
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spelling doaj-7820c834aef143cbbedff930531dd7152020-11-24T21:42:01ZengBMCEmerging Themes in Epidemiology1742-76222010-08-0171610.1186/1742-7622-7-6Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'IvoireFürst ThomasTschannen Andres BRaso GiovannaAcka Cinthia Ade Savigny DonGirardin OlivierN'Goran Eliézer KUtzinger Jürg<p>Abstract</p> <p>Background</p> <p>Current conceptual frameworks on the interrelationship between armed conflict and poverty are based primarily on aggregated macro-level data and/or qualitative evidence and usually focus on adherents of warring factions. In contrast, there is a paucity of quantitative studies about the socioeconomic consequences of armed conflict at the micro-level, i.e., noncommitted local households and civilians.</p> <p>Methods</p> <p>We conducted a secondary analysis of data pertaining to risk factors for malaria and neglected tropical diseases. Standardized questionnaires were administered to 182 households in a rural part of western Côte d'Ivoire in August 2002 and again in early 2004. Between the two surveys, the area was subject to intensive fighting in the Ivorian civil war. Principal component analysis was applied at the two time points for constructing an asset-based wealth-index and categorizing the households in wealth quintiles. Based on quintile changes, the households were labeled as 'worse-off', 'even' or 'better-off'. Statistical analysis tested for significant associations between the socioeconomic fates of households and head of household characteristics, household composition, village characteristics and self-reported events associated with the armed conflict. Most-poor/least-poor ratios and concentration indices were calculated to assess equity changes in households' asset possession.</p> <p>Results</p> <p>Of 203 households initially included in the first survey, 21 were lost to follow-up. The population in the remaining 182 households shrunk from 1,749 to 1,625 persons due to migration and natural population changes. However, only weak socioeconomic dynamics were observed; every seventh household was defined as 'worse-off' or 'better-off' despite the war-time circumstances. Analysis of other reported demographic and economic characteristics did not clearly identify more or less resilient households, and only subtle equity shifts were noted.</p> <p>However, the results indicate significant changes in livelihood strategies with a significant return to agricultural production and a decrease in the diversity of socioeconomic activities.</p> <p>Conclusion</p> <p>Situational constraints and methodological obstacles are inherent in conflict settings and hamper conflict-related socioeconomic research. Furthermore, sensitive methods to assess and meaningfully interpret longitudinal micro-level wealth data from low-income countries are lacking. Despite compelling evidence of socioeconomic dynamics triggered by armed conflicts at the macro-level, we could not identify similar effects at the micro-level. A deeper understanding of household profiles that are more resilient to armed conflict could help to better prevent and/or alleviate adverse conflict-related and increasingly civilian-borne socioeconomic effects.</p> http://www.ete-online.com/content/7/1/6
collection DOAJ
language English
format Article
sources DOAJ
author Fürst Thomas
Tschannen Andres B
Raso Giovanna
Acka Cinthia A
de Savigny Don
Girardin Olivier
N'Goran Eliézer K
Utzinger Jürg
spellingShingle Fürst Thomas
Tschannen Andres B
Raso Giovanna
Acka Cinthia A
de Savigny Don
Girardin Olivier
N'Goran Eliézer K
Utzinger Jürg
Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire
Emerging Themes in Epidemiology
author_facet Fürst Thomas
Tschannen Andres B
Raso Giovanna
Acka Cinthia A
de Savigny Don
Girardin Olivier
N'Goran Eliézer K
Utzinger Jürg
author_sort Fürst Thomas
title Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire
title_short Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire
title_full Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire
title_fullStr Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire
title_full_unstemmed Effect of an armed conflict on relative socioeconomic position of rural households: case study from western Côte d'Ivoire
title_sort effect of an armed conflict on relative socioeconomic position of rural households: case study from western côte d'ivoire
publisher BMC
series Emerging Themes in Epidemiology
issn 1742-7622
publishDate 2010-08-01
description <p>Abstract</p> <p>Background</p> <p>Current conceptual frameworks on the interrelationship between armed conflict and poverty are based primarily on aggregated macro-level data and/or qualitative evidence and usually focus on adherents of warring factions. In contrast, there is a paucity of quantitative studies about the socioeconomic consequences of armed conflict at the micro-level, i.e., noncommitted local households and civilians.</p> <p>Methods</p> <p>We conducted a secondary analysis of data pertaining to risk factors for malaria and neglected tropical diseases. Standardized questionnaires were administered to 182 households in a rural part of western Côte d'Ivoire in August 2002 and again in early 2004. Between the two surveys, the area was subject to intensive fighting in the Ivorian civil war. Principal component analysis was applied at the two time points for constructing an asset-based wealth-index and categorizing the households in wealth quintiles. Based on quintile changes, the households were labeled as 'worse-off', 'even' or 'better-off'. Statistical analysis tested for significant associations between the socioeconomic fates of households and head of household characteristics, household composition, village characteristics and self-reported events associated with the armed conflict. Most-poor/least-poor ratios and concentration indices were calculated to assess equity changes in households' asset possession.</p> <p>Results</p> <p>Of 203 households initially included in the first survey, 21 were lost to follow-up. The population in the remaining 182 households shrunk from 1,749 to 1,625 persons due to migration and natural population changes. However, only weak socioeconomic dynamics were observed; every seventh household was defined as 'worse-off' or 'better-off' despite the war-time circumstances. Analysis of other reported demographic and economic characteristics did not clearly identify more or less resilient households, and only subtle equity shifts were noted.</p> <p>However, the results indicate significant changes in livelihood strategies with a significant return to agricultural production and a decrease in the diversity of socioeconomic activities.</p> <p>Conclusion</p> <p>Situational constraints and methodological obstacles are inherent in conflict settings and hamper conflict-related socioeconomic research. Furthermore, sensitive methods to assess and meaningfully interpret longitudinal micro-level wealth data from low-income countries are lacking. Despite compelling evidence of socioeconomic dynamics triggered by armed conflicts at the macro-level, we could not identify similar effects at the micro-level. A deeper understanding of household profiles that are more resilient to armed conflict could help to better prevent and/or alleviate adverse conflict-related and increasingly civilian-borne socioeconomic effects.</p>
url http://www.ete-online.com/content/7/1/6
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