Empirical Analysis of Labor, Income, and Human Development Influences on Poverty in Central Sulawesi Districts and Cities

  • Khusnudin Tri Subhi Department of Architecture and Planning, Faculty of Engineering, Universitas Gadjah Mada
Keywords: Poverty, HDI, Per capita income, Labor Force, Panel data regression analysis

Abstract

Central Sulawesi Province has high economic potential, especially in the manufacturing, mining and agricultural sectors. However, this potential has not been able to lift Central Sulawesi Province out of poverty, which is 12.41 percent. This analysis aims to see the effect of labor, per capita income and human quality on poverty in districts and cities of Central Sulawesi Province in 2021–2023 through a panel data regression approach. This study shows that per capita income and the Human Development Index (HDI) have a significant negative effect on district/city poverty, while the Labor Force Participation Rate (LP) variable does not have a significant effect. Per capita income has a “trickle-down” effect that helps alleviate poverty, while a higher HDI is correlated with poverty reduction. The results of this analysis suggest the need for policies that focus on increasing HDI through access to education and health, as well as increasing income/capita through the development of leading economic sectors.

References

1. Yunus M. Banker To The Poor: Micro-Lending and the Battle Against World Poverty. New York: PublicAffairs; 2007.
2. BPS Provinsi Sulawesi Tengah. Provinsi Sulawesi Tengah dalam Angka 2024. 2024.
3. Aziza F, Tope P, Ichwan M. Analisis Kemiskinan dan Pembangunan Manusia di Provinsi Sulawesi Tengah. Jurnal KATALOGIS. 2022 Aug;10 No. 2:97–104.
4. Suparman, Muzakir, Wahyuningsih, Tallesang M. Modal Manusia dan Kemiskinan di Sulawesi Tengah dengan Memasukan Faktor Pengangguran dan Tingkat Partisipasi Angkatan Kerja. Jurnal Ilmiah Indonesia. 2021 Dec;6(Special Issue No. 2).
5. Agus Nugroho M, Rhamadhani R. Pengaruh PDRB Terhadap Tingkat Kemiskinan. Baabu Al-Ilmi [Internet]. 2016 Oct;Vol. 1 No.2. Available from: http://news.detik.com/berita/3092196/jokowi-
6. Manangkalangi L, Masinambow V, Tumilaar R. Analisis Pengaruh PDRB Dan Inflasi Terhadap Kemiskinan Di Provinsi Sulawesi Tengah (2000-2018). Jurnal Berkala Ilmiah Efisiensi. 2020;Volume 20 No. 03.
7. Todaro MP., Smith SC. Economic development. Pearson; 2015. 860 p.
8. Jan Nederveen Pieterse. Development Theory [Internet]. Vol. Second Edition. SAGE; 2010. Available from: http://sagepub.net/tcs/
9. Deneulin S, Shahani L. An Introduction to the Human Development and Capability Approach [Internet]. London: Earthscan; 2009. Available from: www.hd-ca.org
10. Euler D. Germany’s dual vocational training system: a model for other countries? 2013.
11. The World Bank. Four Decades of Poverty Reduction In China. 2022.
12. Conceição P, Assa J, Calderon C, Esbry F. The next frontier Human development and the Anthropocene Human Development Report 2020 [Internet]. AGS, an RR Donnelley Company; 2020. Available from: http://hdr.undp.org.
13. Gujarati D. Basic Econometrics. Vol. 4th edition. McGraw-Hill Education; 2004.
14. Rahmani AR. Pengaruh Gender Ratio, Dependency Ratio, dan Tingkat Partisipasi Angkatan Kerja Perempuan terhadap Kemiskinan di Provinsi Nusa Tenggara Barat Tahun 2010-2017. [Malang]: Universitas Brawijaya; 2021.
15. Oktaviani N, Gobel R, Saleh E. The Impact of Per Capita Income and Labour Absorption toward Poverty Level in Gorontalo Province. Jambura Equilibrium Journal [Internet]. 2020;Volume 2. Issue 1. Available from: http://ejurnal.ung.ac.id/index.php/equij
16. Handayani N. Pengaruh IPM, Pertumbuhan Ekonomi dan Pengangguran terhadap Kemiskinan Kabupaten/Kota di Provinsi Jawa Tengah Tahun 2017-2019. Diponegoro Journal of Economics. 2022;11 Nomor 1:26–36.
Published
2026-01-09
How to Cite
Subhi, K. T. (2026). Empirical Analysis of Labor, Income, and Human Development Influences on Poverty in Central Sulawesi Districts and Cities. International Journal of Health, Economics, and Social Sciences (IJHESS), 8(1), 613~624. https://doi.org/10.56338/ijhess.v8i1.9308
Section
Articles