Understanding the Poverty Puzzle in Central Kalimantan: A Regional Economic Perspective
DOI:
https://doi.org/10.52300/grow.v11i1.21779Keywords:
Human Development Index, income inequality, panel data, population, povertyAbstract
This study aims to provide an empirical explanation of the factors influencing poverty in Central Kalimantan Province by adopting a regional economic perspective. The research employs a panel data regression method, which combines cross-sectional and time-series data, analyzed using EViews 9 software. The variables examined include population size, unemployment rate, human development index, and income distribution inequality, with poverty rate as the dependent variable. The findings reveal that population size has a positive and statistically significant effect on poverty in Central Kalimantan, indicating that an increase in population tends to exacerbate poverty levels. In contrast, unemployment is found to have a positive but statistically insignificant impact, suggesting that joblessness alone may not be a strong standalone predictor of poverty in the region. The human development index exhibits a negative and significant relationship with poverty, confirming that improvements in education, health, and living standards effectively reduce poverty levels. Interestingly, income inequality, as measured by the Gini index, shows a negative but insignificant influence on poverty, implying that disparities in income distribution do not strongly affect poverty rates in this context. Collectively, the four variables—population, unemployment, human development index, and income inequality—are found to significantly influence poverty when considered together. These results underscore the importance of integrated regional development strategies that target not only economic growth but also improvements in human capital and demographic management to combat poverty effectively in Central Kalimantan.
References
Badan Pusat Statistik. (2022). Kemiskinan dan Ketimpangan Pengeluaran Penduduk Provinsi Kalimantan Tengah. Badan Pusat Statistik Provinsi Kalimantan Tengah.
Badan Pusat Statistik. (2023). Provinsi Kalimantan Tengah dalam Angka 2023. Badan Pusat Statistik Provinsi Kalimantan Tengah.
Desmawan, A. (2021). Analisis pengaruh pengangguran terhadap kemiskinan di Indonesia. Jurnal Ilmu Ekonomi, 14(1), 41–52.
Faqih, M. (2020). Population pressure and poverty in developing countries. International Journal of Social Economics, 47(3), 417–432.
Firmansyah, R. (2021). Metode pemilihan model regresi data panel. Jurnal Ekonomi dan Statistik, 12(2), 101–115.
Jaya, A. (2022). Demographic trends and poverty in rural Indonesia. Economics and Development Review, 18(2), 23–35.
Jintar, R. (2023). Konsep ekonomi pembangunan dalam konteks pembangunan berkelanjutan. Jurnal Ekonomi Pembangunan, 5(1), 1–12.
Lie, R. (2022). Analisis ketimpangan distribusi pendapatan menggunakan indeks Gini dan kurva Lorenz. Jurnal Pemerataan Ekonomi, 10(1), 77–86.
Maknun, S. (2020). Lingkaran kemiskinan di negara berkembang: Sebuah kajian teori dan fakta empiris. Jurnal Sosial dan Ekonomi Pembangunan, 6(2), 134–145.
Mayasari, L. (2023). Pendekatan sumber daya dan hak dalam pengentasan kemiskinan. Jurnal Kesejahteraan Sosial, 8(1), 22–30.
Musriha, E. (2021). Uji asumsi klasik dalam analisis regresi linear. Jurnal Statistika dan Ekonometrika, 13(1), 55–66.
Pangestuty, R. (2021). Pemikiran strukturalisme dalam pembangunan Amerika Latin: Studi atas gagasan Raul Prebisch. Jurnal Ekonomi Politik Pembangunan, 4(1), 44–59.
Panjawa, D. (2021). Teknik analisis data panel dalam penelitian ekonomi regional. Jurnal Ekonomika, 16(1), 90–103.
Putera, M. (2022). Deteksi heteroskedastisitas dalam model regresi linear. Jurnal Metodologi Statistik, 7(1), 32–40.
Rapiadi, Y. (2022). Koefisien determinasi dalam analisis regresi sosial ekonomi. Jurnal Ekonomi Aplikasi, 11(2), 98–107.
Rapii, A. (2022). Pengukuran indeks pembangunan manusia: Indikator dan aplikasi. Jurnal Pembangunan Berkelanjutan, 9(1), 19–27.
Rahmati, F. (2020). Uji F dan uji t dalam analisis regresi data panel. Jurnal Statistika Terapan, 15(2), 142–152.
Ramadhan, M. (2018). Strategi pemerintah dalam pengentasan kemiskinan: Tinjauan program dan efektivitas. Jurnal Administrasi Negara, 3(1), 67–76.
Rapiadi, A. (2022). Pengaruh distribusi pendapatan terhadap kemiskinan di Indonesia. Jurnal Ekonomi Publik, 9(2), 112–121.
Sa’adah, I. (2021). Penggunaan uji t parsial dalam penelitian ekonomi regional. Jurnal Penelitian Ekonomi, 10(1), 73–81.
Sandi, E. (2019). Hak masyarakat adat dalam pembangunan ekonomi daerah. Jurnal Hukum dan Masyarakat, 6(2), 59–70.
Susilowati, L. (2022). Pengangguran terbuka dan implikasinya terhadap ketimpangan sosial. Jurnal Tenaga Kerja Indonesia, 5(2), 45–55.
Syamsuri, A. (2018). Unemployment and economic policies in Indonesia. Jurnal Ekonomi dan Kebijakan Publik, 7(1), 23–38.
Utaminingsih, D. (2018). Data sekunder dan penggunaannya dalam penelitian sosial ekonomi. Jurnal Penelitian Sosial Ekonomi, 4(2), 50–60.
Wulakada, T. (2020). Ketimpangan distribusi pendapatan dan pengaruhnya terhadap pembangunan ekonomi. Jurnal Ekonomi Pembangunan Daerah, 8(1), 35–47.
