Poverty and Human Development Index: An Inter-District Study in Central Sulawesi

Farah Aziza, Mohamad Ichwan

Abstract

Central Sulawesi Province consists of 13 districts/cities with varying levels of poverty. The numbers fluctuate in the period of time of 2013 to 2020 were classified as high because they were ranked 2nd (second) compared to other provinces on the island of Sulawesi. The low quality of human capital is one of the main causes of poverty, to see the achievement of human capital investment, the education dimension is represented by the average length of schooling, the expected length of schooling, and the health dimension is represented by life expectancy, which is a measure in efforts to build the quality of human life showing an increase consistently. Increasing the quality of human capital is expected to improve the productivity of the poor. Therefore, the purpose of this research was to determine the effect of Average Length of Schooling, Expected Length of Schooling, and Life Expectancy on poverty levels in Central Sulawesi Province. This was a quantitative research. Data used was secondary data out of 13 districts/cities in Central Sulawesi Province for the period of 2013–2020. The data was analyzed using panel data analysis with a random effect regression model. The results show that the Average Length of Schooling variable has a positive effect and is proven to increase poverty, Expected Length of Schooling has a negative effect and is proven to reduce poverty, Life Expectancy has a negative effect and is not proven to reduce poverty, Life Expectancy2 has a positive effect and is not proven to increase poverty in Central Sulawesi Province for the 2013-2020 period.

Keywords

Poverty, Average Length of Schooling, Expectation of Long Schooling, Life Expectancy, Panel Data Regression

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References

Arofah, I., & Rohimah, S. (2019). Analisis Jalur Untuk Pengaruh Angka Harapan Hidup, Harapan Lama Sekolah, Rata-Rata Lama Sekolah Terhadap Indeks Pembangunan Manusia Melalui Pengeluaran Riil Per Kapita Di Provinsi Nusa Tenggara Timur. Jurnal Saintika Unpam : Jurnal Sains Dan Matematika Unpam, 2(1), 76. https://doi.org/10.32493/jsmu.v2i1.2920

Badan Pusat Statistik. 2019. Indeks Pembangunan Manusia. Provinsi Sulawesi Tengah.

Badan Pusat Statistik. 2020. Indikator Kesejahteraan Rakyat. Provinsi Sulawesi Tengah.

Badan Pusat Statistik. 2021. Provinsi Sulawesi Tengah Dalam Angka. Provinsi Sulawesi Tengah.

Bado, B., Hasbiah, S., Muhammad, H., & Alam, S. (2017). Model Kebijakan Belanja Pemerintah Sektor Pendidikan dalam Perspektif Pembangunan Ekonomi. Carabaca.

Fikri, R. O., & Suparyati, A. (2017). Pengaruh Pendidikan, Kesehatan dan Gender Terhadap Tingkat Kemiskinan di Provinsi Nusa Tenggara Timur. Media Ekonomi, 25(1), 43. https://doi.org/10.25105/me.v25i1.5203

Gujarati, D. N. (2004). Basic Econometrics (4th ed.). McGraw Hill Inc.

Gujarati, D., & Porter, D. (2009). Dasar-Dasar Ekonometrika. Salemba Empat.

Marchand, J., & Smeeding, T. (2016). Poverty and Aging. In Handbook of the Economics of Population Aging (1st ed., Vol. 1). Elsevier B.V. https://doi.org/10.1016/bs.hespa.2016.09.004

Rory, R. (2019). Analisis Pengaruh Komponen Indeks Pembangunan Manusia Terhadap Tingkat Kemiskinan di Indonesia. Media Pemateri Dan Peminat Statistika, Ekonomi, Dan Sosial, 36(1), 22–23. https://doi.org/10.17605/OSF.IO/X9RE4

Sakti, I. (2018). Analisis Regresi Data Panel. Universitas Esa Unggul.

Subandi. (2014). Ekonomi Pembangunan. Alfabeta.

Suryati, S., & Syukri, M. (2019). Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan Kabupaten dan Kota Provinsi Sulawesi Selatan. Jurnal Varian, 3(1), 13–19. https://doi.org/10.30812/varian.v3i1.436

Todaro, M. P., & Smith, S. C. (2009). Pembangunan Ekonomi (11th ed.). Erlangga.

Wulandari, S., Lubis, A. S., Hasibuan, H. F., Ekonomi, F., &

Washliyah, U. M. N. Al. (2019). Tingkat Kemiskinan di Kabupaten Padang Lawas. Prosiding Seminar Nasional Sains & Teknologi Informasi (SENSASI), 1, 158–160.

DOI: https://doi.org/10.47729/indicators.v3i2.81