JOURNAL ARTICLE
National Laws and the Position of Migrant Women Laborers.
Published In: IAHRW International Journal of Social Sciences Review, 2025, v. 13, n. 1. P. 232 1 of 3
Database: Sociology Source Ultimate 2 of 3
Authored By: Singh, Ajmer 3 of 3
Abstract
This article explores the legal and socio-economic challenges faced by migrant women laborers in India, focusing on the adequacy of national laws in protecting their rights and welfare. Migrant women laborers, often engaged in low-paying, informal sectors, encounter multiple vulnerabilities, including exploitation, poor working conditions, and limited access to health and social security benefits. Although India has a robust legal framework for labor rights, gender-specific gaps, lack of enforcement, and limited access to justice exacerbate the plight of migrant women. This study examines key legislations such as the Interstate Migrant Workmen Act, 1979, and the Minimum Wages Act, 1948, assessing their effectiveness in safeguarding the rights of migrant women. A comparative perspective with other jurisdictions highlights best practices that India could adopt to strengthen its migrant labor policies. The article concludes with recommendations for legislative reforms, improved enforcement mechanisms, and gender-sensitive policy measures to enhance protections for migrant women laborers, calling for a holistic approach to ensure their rights, dignity, and economic security. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:IAHRW International Journal of Social Sciences Review. 2025/03, Vol. 13, Issue 1, p232
- Document Type:Article
- Subject Area:Women's Studies and Feminism
- Publication Date:2025
- ISSN:2347-3797
- Accession Number:184157752
- 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.)
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