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During the last twenty years, India has witnessed consistent economic growth, despite a continuous drop in female labor force participation rate. This paper analysis delves into the widely held Feminization Hypothesis or the U-shaped theory of Female Labor Force Participation Rate in India. The hypothesis describes an India's U-shaped link between economic development and female labor force participation rate. The paper examines the critical factors that affect the Female Labor Force Participation Rate in India and then creates an econometric model using Excel and XLSTAT based on World Bank data from the previous two decades (1990-2020). The findings indicate that there are no significant relationships between economic development and female labor force participation rate (FLFPR), which contradicts previous studies conducted in other parts of the world. These findings are especially important for developing policies to increase women's labor-force participation rates so that India can fully benefit from its upcoming demographic dividend. The main objective is therefore to enhance female labor-force participation, and also to maintain an atmosphere that provides independence and possibilities for women to obtain respectable and honorable work, which would also directly contribute to employment generation and thorough development of women, making sure inclusivity in the Indian labor market.
Keywords:
Female Labor Force Participation Rate, U shape hypothesis, Economic Development, Heteroskedasticity, Normality tests.
Cite Article:
"The female labor force participation rate and India`s economic development: tracing the U feminization hypothesis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.169 - 182, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208029.pdf
Downloads:
000202444
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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