Analysis of the Demographic Bonus Phenomenon in the Province of North Kalimantan

DOI: https://doi.org/10.70184/6wfge966

Authors

  • Ariani Ariani Universitas Borneo Tarakan, North Kalimantan, Indonesia
  • Charitin Devi Universitas Borneo Tarakan, North Kalimantan, Indonesia
  • Wong Sing Yun Universiti Malaysia Sabah (UMS), Sabah, Malaysia

Gross Regional Domestic Product, GRDP, Labor Force Participation Rate, LFPR, Open Unemployment Rate, OUR

Abstract

Purpose: This study investigates the role of the demographic bonus in shaping economic growth and labor market outcomes in North Kalimantan Province. Specifically, it examines its effects on GRDP, labor force participation rate (LFPR), and open unemployment rate (OUR), while contributing to the limited empirical evidence at the sub-provincial level and offering implications for evidence-based regional policy.

Research Design and Methodology: This study employs a quantitative descriptive approach using secondary data from the Central Bureau of Statistics (CBS) for the period 2018–2023. The unit of analysis covers regencies and cities in North Kalimantan Province. The study examines one independent variable (demographic bonus) and three dependent variables: gross regional domestic product (GRDP), labor force participation rate (LFPR), and open unemployment rate (OUR). Data analysis techniques include descriptive analysis, sign test, and panel data regression using the Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model is selected through Chow, Hausman, and Lagrange Multiplier tests. Classical assumption tests are also conducted to ensure the validity of the model.  

Findings and Discussion: The results show that the demographic bonus has a significant effect on gross regional domestic product (GRDP), the labor force participation rate (LFPR), and the open unemployment rate (OUR).

Implications: This research indicates the need for government policy strategies in utilizing the demographic bonus to improve the quality of human resources and develop work programs that can absorb labour optimally.

References

Achmad Nur Sutikno. (2020). The Demographic Dividend in Indonesia. VISIONER: Journal of Local Government in Indonesia, 12(2), 421–439.

Arifin, F., & Faridatussalam, S. R. (2023). Analysis of Factors Influencing the Demographic Dividend in East Nusa Tenggara from 2017 to 2021. JEMSI (Journal of Economics, Management, and Accounting), 9(3), 958–966.

Edwin Maulana Rozmar and Adi Bhakti, “The Impact of Population Growth, Labor Force Participation Rate, and Dependency Ratio on Economic Growth in Jambi Province,” 6, no. 5 (2017): 1–10.

Ghozali, Imam (2018). Multivariate Analysis Applications Using IBM SPSS 25. Semarang: Diponegoro University Publishing House.

Ghozali, I., & Ratmono, D. (2017). Multivariate Analysis and Econometrics Using Eviews 10. Diponegoro University Publishing House.

Hermawan, I. (2019). Analysis of the Impact of the Demographic Dividend on Economic Growth. Jurnal Aktiva: Accounting and Finance Research, 1(2).

Saumana, N., Rotinsulu, D. C., & Rotinsulu, T. O. (2020). The Impact of the Demographic Dividend on Economic Growth in Southeast Minahasa Regency. Journal of Regional Economic and Financial Development, 21(4), 95–109.

Sriyana, Jaka. 2014. Panel Data Regression Methods. Ekosiana, Yogyakarta.

Sugiyono. (2019). Quantitative and Qualitative Research Methodology and R&D. Bandung: ALFABETA.

Wahyudin. (2015). Research in Mathematics Education. Refika Aditama.

Widarjono, Agus. 2018. Introduction to Econometrics and Its Applications with an Eviews Guide. Yogyakarta, UPP STIM YKPN Yogyakarta

Downloads

Published

2025-06-28

Similar Articles

1-10 of 15

You may also start an advanced similarity search for this article.