The Influence of Labor Force Participation, Education, and Economic Growth on Poverty in Indonesia: A Provincial-Level Analysis

Authors

  • Rina BIM University Author

Keywords:

economic growth, labor force, poverty, provincial analysis Indonesia

Abstract

This study aimed to analyze the influence of labor force participation rate, education level (measured by School Participation Rate/APS), and economic growth (measured by Adjusted Per Capita Expenditure) on the poverty rate across 38 provinces in Indonesia. Using secondary data from the Central Statistics Agency (BPS) for 2024, a multiple linear regression analysis was conducted. The results indicated that the regression model was significant (F = 18.251, p = 0.000) and explained 61.7% of the variance in poverty rates (R² = 0.617). Partially, economic growth had a significant negative effect (β = -0.521, p = 0.000), while labor force participation showed a significant positive effect (β = 0.241, p = 0.046). The education variable showed a negative but not statistically significant effect (β = -0.215, p = 0.098). The findings suggest that economic prosperity is the most crucial factor in reducing poverty at the provincial level, while high labor force participation alone, without being accompanied by quality jobs and adequate wages, does not guarantee poverty reduction. This research provides important insights for policymakers to design holistic poverty reduction strategies that focus not only on job creation but also on improving the quality of employment and equitable economic distribution.

References

Badan Pusat Statistik. (2024a). Persentase penduduk miskin (P0) menurut provinsi dan daerah.

Jakarta: BPS.

Badan Pusat Statistik. (2024b). Tingkat partisipasi angkatan kerja menurut jenis kelamin.

Jakarta: BPS.

Badan Pusat Statistik. (2024c). Angka partisipasi sekolah (APS) menurut provinsi dan kelompok umur. Jakarta: BPS.

Badan Pusat Statistik. (2024d). Pengeluaran per kapita disesuaikan menurut provinsi. Jakarta: BPS.

D. Acemoglu and P. Restrepo, “The wrong kind of AI? Artificial intelligence and the future of labour demand,” Journal of Economic Perspectives, vol. 34, no. 1, pp. 3–32, 2020.

Mankiw, N. G. (2021). Principles of economics (9th ed.). Boston: Cengage Learning.

T. Dartanto, S. Nurkholis, and C. O. Handoko, “Labour market flexibility and poverty in Indonesia,” International Journal of Social Economics, vol. 47, no. 7, pp. 901–919, 2020.

A. Suryahadi, V. Al Izzati, and D. Suryadarma, “The impact of COVID-19 outbreak on poverty: An estimation for Indonesia,” Bulletin of Indonesian Economic Studies, vol. 56, no. 2, pp. 175–192, 2020.

Todaro, M. P., & Smith, S. C. (2020). Economic development (13th ed.). London: Pearson Education.

World Bank. (2022). Poverty and shared prosperity 2022: Correcting course. Washington, DC: World Bank Publications.

T. Dartanto, S. Nurkholis, and C. O. Handoko, “Labour market flexibility and poverty in Indonesia,” International Journal of Social Economics, vol. 47, no. 7, pp. 901–919, 2020.

A. Yusuf, A. A. Sumner, and H. Suryahadi, “Growth, inequality and poverty in Indonesia,”

Journal of the Asia Pacific Economy, vol. 19, no. 1, pp. 66–86, 2014.

A. Suryadarma and G. W. Jones, Education in Indonesia. Singapore: ISEAS–Yusof Ishak Institute, 2013.

Badan Pusat Statistik, Profil Kemiskinan di Indonesia 2024. Jakarta: BPS, 2024.

Badan Pusat Statistik, Indikator Kesejahteraan Rakyat Indonesia 2024. Jakarta: BPS, 2024.

Downloads

Published

2026-02-05

Issue

Section

Articles