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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 02(130) 2024

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Sari, L., Kurniasih, C. E., Taryono, Eriyati, & Rhahim, R. O. V.

Factors affecting married women's work participation in the processing industry sector in Pelalawan district.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-02-130-4

DOI: https://dx.doi.org/10.15863/TAS.2024.02.130.4

Language: English

Citation: Sari, L., Kurniasih, C. E., Taryono, Eriyati, & Rhahim, R. O. V. (2024). Factors affecting married women's work participation in the processing industry sector in Pelalawan district. ISJ Theoretical & Applied Science, 02 (130), 26-34. Soi: http://s-o-i.org/1.1/TAS-02-130-4 Doi: https://dx.doi.org/10.15863/TAS.2024.02.130.4

Pages: 26-34

Published: 28.02.2024

Abstract: This study was conducted to determine the effect of wage level, education level, age, husband's income level and expenditure level on married women's work participation in the manufacturing industry sector in Pelalawan Regency. In addition, the study aimed to identify the most influential variables among these factors on married women's work participation in the same sector and region. This study used a special sampling method, with a total of 64 respondents, and data analysis was conducted using multiple linear regression assisted by Eviews 10 software program. The research findings show that collective wage rate, education level, age, husband's income level and expenditure level have a statistically significant effect on the labor participation of married women in the manufacturing industry sector in Pelalawan Regency. Individually, wage level (X1) has a significant and positive effect on married women's work participation, education level (X2) has a significant and positive effect on married women's work participation, while age (X3) has a significant and negative effect on married women's work participation. Similarly, husband's income level (X4) has a significant and negative influence on married women's work participation and expenditure level (X5) has a significant and negative influence on married women's work participation. Among the five independent variables, education level is the most dominating factor affecting married women's work participation in the manufacturing industry sector in Pelalawan Regency. The cumulative effect (R2) of these three variables on the dependent variable is 63%, and the remaining 37% is influenced by other variables that have not been examined in this study.

Key words: Participation, Women, Industry.


 

 

 

 

 

 

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