August 16, 2025EconomiesOpen Access

Gendered Dimensions of Poverty in Indonesia: A Study of Financial Inclusion and the Influence of Female-Headed Households

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Logistic regression assesses poverty risk in female-headed households, suggesting urgent policy changes for financial inclusion and education.

Female-headed households face higher poverty risks due to financial inclusion and education gaps, highlighting systemic barriers.
Analysis from the 2023 National Socio-Economic Survey reveals that education and digital literacy are crucial indicators of poverty status.
Utilizing a logistic regression model, significant correlations were found among gender-specific determinants affecting poverty.
The findings advocate for targeted policies to improve financial access and education for women, promoting inclusive societal growth.

Ekaputri et al. (2025) studied this question.

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Logistic regression assesses poverty risk in female-headed households, suggesting urgent policy changes for financial inclusion and education.