Issue |
E3S Web Conf.
Volume 175, 2020
XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
|
|
---|---|---|
Article Number | 13014 | |
Number of page(s) | 16 | |
Section | Agricultural Planning and Economics | |
DOI | https://doi.org/10.1051/e3sconf/202017513014 | |
Published online | 29 June 2020 |
Rural household income diversification in developing countries: A Case study of Eritrea
1
Don State Technical University, 1, Gagarina, sq., 344003, Rostov-on-Don, Russia
2
Hamelmalo Agricultural College, Eritrea P.O. Box 397
* Corresponding author: robeljan20134@gmail.com
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.