JOURNAL ARTICLE
An Informal Economy of Women in Asmara (Eritrea): A Case Study.
Published In: IAHRW International Journal of Social Sciences Review, 2023, v. 11, n. 1. P. 117 1 of 3
Database: Sociology Source Ultimate 2 of 3
Authored By: Lalu Naik, J.; Surendranadha Reddy, K.; Surendra, M. 3 of 3
Abstract
This case study focuses on the participation of women street vendors in the central business area of Asmara, Eritrea, particularly around the chicken market and outlying streets. Women who fail to find jobs in the formal sector engage in alternative work in the informal economy (street vending). Today, many street vendors depend on their illicit business to earn them and rescue themselves from different poverty levels. This case study seeks to examine the involvement of women in street vending activities. Therefore, this study aims to contribute to the apparent literature gaps by utilizing qualitative and ethnographic analysis of the cause of their participation and the problems they encounter. This study applied anthropological ethnographic fieldwork methodology. Furthermore, the study involved participant observation, semi-structured and in-depth interviews and photographs as a leading data collection method among the women vendors. Implementing these research methods examined the overall daily routine and livelihood of the street vending women. Additionally, focused on the reasons why they engaged and what practical problems they faced, both during the work in the street and other socio-cultural problems in their home, were examined and described in this literature. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:IAHRW International Journal of Social Sciences Review. 2023/03, Vol. 11, Issue 1, p117
- Document Type:Article
- Subject Area:Geography and Cartography
- Publication Date:2023
- ISSN:2347-3797
- Accession Number:163027570
- Copyright Statement:Copyright of IAHRW International Journal of Social Sciences Review is the property of Indian Association of Health, Research & Welfare and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.