Rural household income diversification in developing countries: A Case study of Eritrea

Following a baseline survey in Eritrea, income diversity study among rural farming households was conducted. Two steps analysis was followed during the analysis of income levels and diversity status: (1) the regional level, and (2) the household level. Simpson Index of Diversification was used to ca...

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Main Author: Debesai Menghistab
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/35/e3sconf_interagromash2020_13014.pdf
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spelling doaj-777506a4063b482b80e2ac0d0ebd14692021-04-02T11:55:33ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011751301410.1051/e3sconf/202017513014e3sconf_interagromash2020_13014Rural household income diversification in developing countries: A Case study of EritreaDebesai MenghistabFollowing a baseline survey in Eritrea, income diversity study among rural farming households was conducted. Two steps analysis was followed during the analysis of income levels and diversity status: (1) the regional level, and (2) the household level. Simpson Index of Diversification was used to calculate the diversity status both at household and regional level. The analysis indicated that income diversification was pervasive in all regions and households irrespective of income levels. Although income diversification was more in high income groups, it was also substantial with the “extreme” and “low income” groups. The difference was that low income groups diversified in less risky ventures as a necessity, whereas the high income groups diversify even in more risky ventures as a choice. A Tobit regression model indicated that level of education, ethnicity, household size, gross income, income per capita, and access to credit had a positive relationship with income diversity. Others such as the age of the household head, dependency ratio and size of land ownership had a negative relationship. Therefore, policy measures need to be directed towards creating a conducive condition taking into consideration the multiple sources of income, socioeconomic, demographic and institutional conditions of rural farminghouseholds.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/35/e3sconf_interagromash2020_13014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Debesai Menghistab
spellingShingle Debesai Menghistab
Rural household income diversification in developing countries: A Case study of Eritrea
E3S Web of Conferences
author_facet Debesai Menghistab
author_sort Debesai Menghistab
title Rural household income diversification in developing countries: A Case study of Eritrea
title_short Rural household income diversification in developing countries: A Case study of Eritrea
title_full Rural household income diversification in developing countries: A Case study of Eritrea
title_fullStr Rural household income diversification in developing countries: A Case study of Eritrea
title_full_unstemmed Rural household income diversification in developing countries: A Case study of Eritrea
title_sort rural household income diversification in developing countries: a case study of eritrea
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description Following a baseline survey in Eritrea, income diversity study among rural farming households was conducted. Two steps analysis was followed during the analysis of income levels and diversity status: (1) the regional level, and (2) the household level. Simpson Index of Diversification was used to calculate the diversity status both at household and regional level. The analysis indicated that income diversification was pervasive in all regions and households irrespective of income levels. Although income diversification was more in high income groups, it was also substantial with the “extreme” and “low income” groups. The difference was that low income groups diversified in less risky ventures as a necessity, whereas the high income groups diversify even in more risky ventures as a choice. A Tobit regression model indicated that level of education, ethnicity, household size, gross income, income per capita, and access to credit had a positive relationship with income diversity. Others such as the age of the household head, dependency ratio and size of land ownership had a negative relationship. Therefore, policy measures need to be directed towards creating a conducive condition taking into consideration the multiple sources of income, socioeconomic, demographic and institutional conditions of rural farminghouseholds.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/35/e3sconf_interagromash2020_13014.pdf
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