The determinants of child labor in West Nusa Tenggara Province: A multilevel approach

Authors

  • Baiq Siti Ainaya Assyifa Department of Economics, Faculty of Economics and Business, Universitas Brawijaya, Indonesia
  • Agus Suman Department of Economics, Faculty of Economics and Business, Universitas Brawijaya, Indonesia
  • Farah Wulandari Pangestuty Department of Economics, Faculty of Economics and Business, Universitas Brawijaya, Indonesia

DOI:

https://doi.org/10.22437/ppd.v14i3.48008

Keywords:

Child labor, Cultural, Demographic, Socioeconomic, West Nusa Tenggara

Abstract

Child labor in West Nusa Tenggara (NTB) Province remains a serious development issue because it reflects the continued lack of fulfillment of children’s rights to education and protection. According to Statistics Indonesia (BPS), the proportion of child laborers in NTB reached 5.51%, almost twice the national average. This study aims to identify the factors associated with child labor participation in the province. Data were drawn from the March 2024 National Socioeconomic Survey (Susenas) and official BPS publications at the district/city level. The analytical methods included descriptive statistics and multilevel logistic regression, with 3,303 children aged 10–17 years as the units of analysis. The results indicate that, at the individual and household levels, children’s education, the education of the household head, the child’s age and gender, the number of children in the household, the marital status of the household head, and early marriage are significantly associated with the likelihood of child labor participation. At the regional level, mean years of schooling and the mean age difference between spouses are also significantly associated with children’s participation in work. Approximately 13% of the variation in child labor is attributable to differences across districts/cities. These findings suggest that policy interventions should address not only household vulnerability but also regional conditions that shape the risk of child labor.

References

Abaidoo, E. (2024). Parental educational attainment and child labor: Evidence from Malawi. Journal of Agricultural and Applied Economics, 56(1), 155–183. https://doi.org/10.1017/aae.2024.4

Abdullah, A., Huynh, I., Emery, C. R., & Jordan, L. P. (2022). Social norms and family child labor: A systematic literature review. International Journal of Environmental Research and Public Health, 19(7), 4082. https://doi.org/10.3390/ijerph19074082

Abebe, G., & Fikre, S. (2021). Individual, household, and community-level factors of child labor in rural Ethiopia. Cogent Social Sciences, 7(1), 1961402. https://doi.org/10.1080/23311886.2021.1961402

Ahmady, K. (2024). Gender differences in child labour: A systematic review of causes, forms, features and consequences. International Journal of Multidisciplinary Research and Growth Evaluation, 5, 947–956.

Al Muflih, M. R., & Wijaya, Y. T. (2024). Pekerja anak di Kawasan Timur Indonesia tahun 2022: Kondisi dan faktor yang memengaruhi. Jurnal Ekonomi Kependudukan dan Keluarga, 1(2), 12–15.

Aleksynska, M., & Kolev, A. (2021). Education-occupation mismatch in the context of informality and development (OECD Development Centre Working Papers No. 346). OECD Publishing.

Ali, D. H. A., & Arabsheibani, G. R. (2016). Child labour in Indonesia: Supply-side determinants. Economics and Finance in Indonesia, 62(3), Article 4. https://scholarhub.ui.ac.id/efi/vol62/iss3/4

Aryati, R. A., & Susanti, E. (2023). Gender awareness and patriarchal relations in Merariq Kodeq culture in Ampenan, Mataram: Kesadaran gender dan relasi patriarki dalam budaya Merariq Kodeq di Ampenan, Mataram. Jurnal Sosiologi Dialektika, 18(2), 189–199. https://doi.org/10.20473/jsd.v18i22023.189-199

Basu, K., & Van, P. H. (1998). The economics of child labor. The American Economic Review, 88, 412–427.

Becker, G. S. (1965). A theory of the allocation of time. The Economic Journal, 75(299), 493–517. https://doi.org/10.2307/2228949

Bhalotra, S., & Heady, C. (2003). Child farm labor: The wealth paradox. The World Bank Economic Review, 17(2), 197–227. https://doi.org/10.1093/wber/lhg017

BPS-Statistics Indonesia. (n.d.). Percentage of child laborers (aged 10–17 years) by province [Statistical table]. Retrieved August 12, 2026, from https://www.bps.go.id/en/statistics-table/2/MjAwOCMy/persentase-anak-usia-10-17-tahun-yang-bekerja-menurut-provinsi.html

BPS-Statistics of Nusa Tenggara Barat Province. (2025). Profil anak bekerja Provinsi Nusa Tenggara Barat 2024. https://ntb.bps.go.id/id/publication/2025/07/31/76cafb660f4a31acb352126e/profil-anak-bekerja-provinsi-nusa-tenggara-barat-2024.html

Brown, D. K., Deardorff, A. V., & Stern, R. M. (2002). The determinants of child labor: Theory and evidence. School of Public Policy, University of Michigan.

Das, K. S. (2022). Child labour and its determinants in India. Children and Youth Services Review, 138, 106523. https://doi.org/10.1016/j.childyouth.2022.106523

Dix-Carneiro, R., Goldberg, P., Meghir, C., & Ulyssea, G. (2021). Trade and informality in the presence of labor market frictions and regulations (Economic Research Initiatives at Duke Working Paper No. 302). https://doi.org/10.2139/ssrn.3775073

Dwi, I. R., Bachtiar, N., & Maryati, S. (2021). Analisis karakteristik pekerja anak di Provinsi Sumatera Barat. Menara Ilmu: Jurnal Penelitian dan Kajian Ilmiah, 15(2). https://doi.org/10.31869/mi.v15i2.2503

Edmonds, E. V. (2009). Defining child labour: A review of the definitions of child labour in policy research. International Labour Organization. https://www.ilo.org/publications/defining-child-labour-review-definitions-child-labour-policy-research

Elgin, C., & Erturk, F. (2019). Informal economies around the world: Measures, determinants, and consequences. Eurasian Economic Review, 9, 221–237. https://doi.org/10.1007/s40822-018-0105-5

Giang, L. T., Nguyen, V. T., & Nguyen, T. D. (2021). Child labor in Vietnam: Issues and policy implications. Children and Youth Services Review, 130, 106222. https://doi.org/10.1016/j.childyouth.2021.106222

Goldstein, H. (1995). Hierarchical data modeling in the social sciences. Journal of Educational and Behavioral Statistics, 20(2), 201–204. https://doi.org/10.3102/10769986020002201

Hamdani, F., Nooraeni, R., & Lumaksono, A. (2023). Pekerja anak dan pendidikannya di masa depan. Jurnal Pendidikan Nonformal. https://doi.org/10.17977/um041vxxixx2023p24-35

Hiriscau, A., & Pintea, M. (2024). Birth order, socioeconomic background, and educational attainment. Education Economics, 32(3), 395–412. https://doi.org/10.1080/09645292.2023.2217482

Hosmer, D. W. & Lemeshow, S. (2000). Applied logistic regression (2nd ed.). John Wiley & Sons, Inc

International Labour Organization, & United Nations Children’s Fund. (2021). Child labour: Global estimates 2020, trends and the road forward. International Labour Organization.

Islam, R., & Hoque, M. M. (2022). Trade-off between schooling and labor for children: Understanding the determinative factors among rural households in Bangladesh. Frontiers in Sociology, 7, 839231. https://doi.org/10.3389/fsoc.2022.839231

Joseph, G. M. (2025). The household factors determinants of child labour in Tanzania. International Journal of Advanced Multidisciplinary Research and Studies, 5(2), 1261-1270. https://doi.org/10.62225/2583049X.2025.5.2.3976

Kharisma, B., Wardhana, A., Hasanah, A., Remi, S. S., & Nurhanifa, S. (2022). Does the household structure create child labor? The case in Indonesia. Bulletin of Geography. Socio-economic Series, 58, 169–182. https://doi.org/10.12775/bgss-2022-0041

Magdalena, F., Sukamdi, S., & Rofi, A. (2021). The determinants of child labor participation in Indonesia: A multilevel approach. Southeast Asian Journal of Economics, 9(3), 75–108. https://so05.tci-thaijo.org/index.php/saje/article/view/255870

Mtafya, H. A., Gadde, S. R., & Shinzeh, J. K. (2025). Determinants of child labor in Tanzania: A BGEE model analysis of the ILFS 2020/2021. Cogent Social Sciences, 11(1), 2492841. https://doi.org/10.1080/23311886.2025.2492841

Novitasari, R., & Nopiah, R. (2024, December). Analysis of family socio-economic conditions towards child labor in Bengkulu Province. In Bengkulu International Conference on Economics, Management, Business and Accounting (BICEMBA) (Vol. 2, pp. 1655–1664). https://doi.org/10.33369/bicemba.2.2024.142

Petrongolo, B., & Ronchi, M. (2020). Gender gaps and the structure of local labor markets. Labour Economics, 64, 101819.

Rospida, L., Kamaludin, K., & Ridwan, M. (2021). Economic analysis of child labor-based households in Bengkulu City. International Journal of Economics and Financial Issues, 11(1), 140–146. https://doi.org/10.32479/ijefi.9827

Seid, Y., & Gurmu, S. (2015). The role of birth order in child labour and schooling. Applied Economics, 47, 1–20. https://doi.org/10.1080/00036846.2015.1047086

Soler-Hampejsek, E., Kangwana, B., Austrian, K., Amin, S., & Psaki, S. R. (2021). Education, child marriage, and work outcomes among young people in rural Malawi. Journal of Adolescent Health, 69(6), S57–S64. https://doi.org/10.1016/j.jadohealth.2021.09.011

Spierings, N., Smits, J., & Verloo, M. (2010). Micro and macro level determinants of women’s employment in six MENA countries. Journal of Marriage and Family, 72(5), 1391–1407.

Sudarto, A., Mustofa, M. B., & Malik, A. (2022). Economic exploitation of children: Returning child labor to the world of education through interpersonal communication towards equal education. HUMANISMA: Journal of Gender Studies, 6(2), 212–225. https://doi.org/10.30983/humanisme.v6i2

Syafruddin, S., Wadi, H., Rispawati, R., Suud, S., & Suryanti, N. M. N. (2021). Child labor exploitation in the tourism industry on the island of Lombok. In Proceedings of the 2nd Annual Conference on Education and Social Science (ACCESS 2020). Atlantis Press. https://doi.org/10.2991/assehr.k.210525.061

Wardana, L. O., & Sari, L. K. (2020). Analisis faktor-faktor yang memengaruhi eksploitasi pekerja anak di Indonesia menggunakan regresi logistik biner. Indonesian Journal of Statistics and Its Applications, 4(3), 432–447. https://doi.org/10.29244/ijsa.v4i3.616

Webbink, E., Smits, J., & de Jong, E. (2013). Household and context determinants of child labor in 221 districts of 18 developing countries. Social Indicators Research, 110, 819–836. https://doi.org/10.1007/s11205-011-9960-0

Downloads

Published

2026-08-28

How to Cite

Assyifa, B. S. A., Suman, A., & Pangestuty, F. W. (2026). The determinants of child labor in West Nusa Tenggara Province: A multilevel approach. Jurnal Perspektif Pembiayaan Dan Pembangunan Daerah, 14(3), 205-222. https://doi.org/10.22437/ppd.v14i3.48008