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Economic Analysis Child Labor Based Households in Bengkulu City

Author

Listed:
  • Lela Rospida

    (Faculty of Economics and Business Sciences, Bengkulu University, Indonesia.)

  • Kamaludin Kamaludin

    (Faculty of Economics and Business Sciences, Bengkulu University, Indonesia.)

  • Mochamad Ridwan

    (Faculty of Economics and Business Sciences, Bengkulu University, Indonesia.)

Abstract

The purpose of this study was to analyze the influence of father characteristics, mother characteristics, household characteristics, child labor characteristics, and community, on work time of child labor in Bengkulu City. This research uses primary data. Sampling was done by incidental method. Data collected through interviews and questionnaires. The analytical method uses PLS-PM (Partial Least Square-Path Modeling). The results showed that the variables of father characteristics, mother characteristics, household characteristics and community had a negative and significant effect on the working hours of child labor. While the variable child labor characteristics had a positive and significant influence on working hours of child labor. If the father characteristics, the mother characteristics, the household characteristics, and the community are getting better, then the working hours for child labor will be reduced. While, if the child labor characteristics are getting better (the more it fits the criteria, namely male sex, the lower the education, and not going to school), then the work time of child labor will increase. The indicators on the father characteristic variables, that most determine are father's income and father's education. Indicators on the mother characteristics that most determine are mother's income, mother's education and mother's occupational status. The most determine indicators of household characteristics are household assets, number of family members, number of children, number of working family members, and parents' income. Indicators on the most determine characteristics of child labor are the gender of child labor, the education of child labor and the status of child labor. The most determine indicators in the community are market availability and school availability.

Suggested Citation

  • Lela Rospida & Kamaludin Kamaludin & Mochamad Ridwan, 2021. "Economic Analysis Child Labor Based Households in Bengkulu City," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 140-146.
  • Handle: RePEc:eco:journ1:2021-01-15
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    References listed on IDEAS

    as
    1. Kaushik Basu, 1999. "Child Labor: Cause, Consequence, and Cure, with Remarks on International Labor Standards," Journal of Economic Literature, American Economic Association, vol. 37(3), pages 1083-1119, September.
    2. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1, March.
    3. Courage C. Mudzongo & Christopher M. Whitsel, 2013. "Determinants of child labor in Malawi and Tanzania," Journal of Community Positive Practices, Catalactica NGO, issue 3, pages 3-24.
    4. Amao, Ifeoluwapo O. & Oni, Omobowale A. & Yusuf, Sulaiman A. & Omonona, Bolarinwa T., 2010. "Determinants of Child Labour and Schooling in Rural Northeastern Nigeria," Journal of Rural Economics and Development, University of Ibadan, Department of Agricultural Economics, vol. 19, pages 1-12, June.
    5. Uma Sarada Kambhampati, 2009. "Child Schooling and Work Decisions in India: The Role of Household and Regional Gender Equity," Feminist Economics, Taylor & Francis Journals, vol. 15(4), pages 77-112.
    6. Jerik Hanushek & Dennis Kimko, 2006. "Schooling, Labor-force Quality, and the Growth of Nations," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 154-193.
    7. Basu, Kaushik & Van, Pham Hoang, 1998. "The Economics of Child Labor," American Economic Review, American Economic Association, vol. 88(3), pages 412-427, June.
    8. Kaushik Basu, 1999. "International Labor Standards and Child Labor," Challenge, Taylor & Francis Journals, vol. 42(5), pages 80-93, September.
    9. Masako Ota & Peter Moffatt, 2007. "The within-household schooling decision: a study of children in rural Andhra Pradesh," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(1), pages 223-239, February.
    10. Ellen Webbink & Jeroen Smits & Eelke Jong, 2013. "Household and Context Determinants of Child Labor in 221 Districts of 18 Developing Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 819-836, January.
    11. Shahina Amin & M. Shakil Quayes & Janet M. Rives, 2004. "Poverty and Other Determinants of Child Labor in Bangladesh," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 876-892, April.
    12. Meltem Dayioğlu, 2006. "The impact of household income on child labour in urban Turkey," Journal of Development Studies, Taylor & Francis Journals, vol. 42(6), pages 939-956.
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    More about this item

    Keywords

    Child labor; Household; Working Hours; Indonesia; Bengkulu;
    All these keywords.

    JEL classification:

    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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