Quantifying the Digital Divide: A Mixed Method Analysis of Socio-Economic Determinants, Educational Employment Mismatch Index (EEMI), and Female Labor Force Participation in India (2017–2024)
Meghna Badlani | Gaurang Rami
Discipline: social sciences (non-specific)
Abstract:
This study analyzes how digital access and
educational attainment shape female labor force
participation in India from 2017 to 2024. Using
nationally representative unit-level data from the
Periodic Labor Force Survey (PLFS) and National
Family Health Survey (NFHS-5), it examines how
digital inclusion and education jointly influence
women’s access to formal and decent employment.
The findings reveal that while digital connectivity
improves women’s labor market entry, entrenched
socio-cultural norms and regional disparities
continue to restrict participation, particularly
among rural and marginalized groups. To quantify this, disconnect, the study
introduces the Educational–Employment Mismatch Index (EEMI), which
captures the gap between women’s academic qualifications and their presence in the formal sector. EEMI is computed only for women with more than 12 years
of education to ensure valid mismatch detection Results show that education
alone does not ensure economic inclusion unless complemented by digital
infrastructure, institutional support, and gender-responsive labor policies. The
paper calls for integrated strategies that bridge these gaps and enable meaningful
female workforce participation.
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