August 12, 2025

Determinants Affecting Woman Labor Force Participation in Six Urban Areas of Central Java Province During the Period 2016-2023

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Authors

KZKhalista Arintyas ZahraJenderal Soedirman University KWKikin WindhaniJenderal Soedirman University AWArif Andri WibowoJenderal Soedirman University

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Implication

Panel data regression reveals that education impacts woman labor force participation in Central Java, indicating economic implications for job opportunities.

Key Points

Mean Years of Schooling negatively affects woman labor force participation rates, emphasizing education's role in workforce engagement.
The Regional Minimum Wage and Gender Development Index positively impact participation rates, suggesting economic incentives matter.
Panel data regression using the Fixed Effect Model was employed to analyze the data over several urban areas.
Improving human resources quality and better job matching may enhance women's participation in the labor market.

Cite This Study

Zahra et al. (2025) studied this question.

synapsesocial.com/papers/68af7f407567bf4f94ff606c https://doi.org/10.32424/icsema.1.1.15

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Implication

Panel data regression reveals that education impacts woman labor force participation in Central Java, indicating economic implications for job opportunities.

Determinants Affecting Woman Labor Force Participation in Six Urban Areas of Central Java Province During the Period 2016-2023

Discussion

Member takes

Implication

Key Points

Cite This Study

Determinants Affecting Woman Labor Force Participation in Six Urban Areas of Central Java Province During the Period 2016-2023

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider