Pengaruh Ketimpangan Kesejahteraan terhadap Tingkat Kemiskinan di Pulau Sumatera
DOI:
https://doi.org/10.61132/apke.v2i4.1912Keywords:
Economic Growth, HDI, Poverty, Sumatra, Welfare InequalityAbstract
This study aims to analyze the effect of welfare inequality on poverty levels on the island of Sumatra. Welfare inequality is measured using the Gini Index, while poverty levels are measured by the percentage of the poor population at the provincial level. This study uses a quantitative method with a panel data approach covering ten provinces on the island of Sumatra during the period 2020–2024. The analytical techniques used include panel data regression with fixed and random effects models, as well as classical assumption testing to ensure model validity. The results show that welfare inequality has a positive and significant effect on poverty levels, meaning that increasing inequality in income distribution tends to increase the number of poor people. This finding indicates that uneven economic growth can worsen the welfare of the community, especially low-income groups. Therefore, more inclusive and sustainable development policies are needed, particularly in increasing equitable access to education, health services, and productive employment opportunities to reduce inequality and poverty levels on the island of Sumatra.
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Aryanti, E. D., & Sukardi, A. S. (2024). Pendapatan terhadap kemiskinan di Indonesia. 4(2), 117–133. https://doi.org/10.53088/jerps.v4i2.918
Attoma, I. D., & Matteucci, M. (2024). Measurement tools, applications, and their evolution over time through a systematic review of the literature up to 2019. Quality & Quantity, 58(4). https://doi.org/10.1007/s11135-023-01792-8
Aza, R. S., & Nsyah. (2024). Income inequality analysis in Sumatra (Case study of South). 2(4), 309–328. https://doi.org/10.55927/fintech.v2i4.12046
Cerra, V., Lama, R., & Loayza, N. (2022). Growth and poverty. In Oxford scholarship online. https://doi.org/10.1093/oso/9780192846938.003.0002
Destaria, N., & Ginting, A. (2023). Analisis pengaruh ketimpangan pembangunan, pertumbuhan ekonomi, dan IPM terhadap kemiskinan di regional Kalimantan. 5(1), 10–27.
Firdaus, A., Dawood, T. C., & Abrar, M. (2021). Determinants of poverty in Indonesia: An empirical evidence using panel data regression. 2(4), 124–132. https://doi.org/10.47194/ijgor.v2i4.90
Fitria, S. F. (2020). Analisis regresi data panel pengaruh PDRB, indeks pembangunan manusia, dan tingkat pengangguran terbuka terhadap jumlah kemiskinan di kabupaten/kota di Jawa Barat tahun 2013–2020. 119–128. https://doi.org/10.29313/jrm.v1i2.377
Haemmerli, M., Jackson, T. P., Goodman, C., Thabrany, H., & Wiseman, V. (2021). Poor quality for the poor? A study of inequalities in service readiness and provider knowledge in Indonesian primary health care facilities. International Journal for Equity in Health, 1–12. https://doi.org/10.1186/s12939-021-01577-1
Hafizi, M. Z. (2023). Dampak kemiskinan terhadap ketidaksetaraan pelayanan kesehatan di Indonesia.
Hamzah, et al. (2022). Determinants of poverty in 10 provinces in Sumatra Island. 2022(3), 1306–1320.
Iffah, A., Saifudin, T., Ana, E., & Amelia, D. (2023). Poverty modeling in Indonesia: A spatial regression analysis. 12(4), 441–457. https://doi.org/10.15294/edaj.v12i4.66027
Karuna, E. E., Azza, A., & Darman, E. (2024). Model regresi data panel robust terhadap kemiskinan di Provinsi Sulawesi Selatan. 93–100.
Madsen, J., & Strulik, H. (2025). Taking Kuznets seriously. July. https://doi.org/10.1007/s10887-025-09262-6
Mardhiyah, A. (2025). Determinant of income inequality: Empirical study of 34 provinces in Indonesia moderated by investment. 14(1), 334–354. https://doi.org/10.46367/iqtishaduna.v14i1.2411
Marrero, G. A., & Servén, L. (2022). Growth, inequality, and poverty: A robust relationship? Empirical Economics, 63(2), 725–791. https://doi.org/10.1007/s00181-021-02152-x
Mustika, C., & Nurjanah, R. (2021). Rural and urban poverty models on Sumatra Island. 9(1), 107–114. https://doi.org/10.22437/ppd.v9i1.10684
Muttaqin, T. (n.d.). Determinants of unequal access to and quality of education in Indonesia. 1–23.
Rahayu, H. C., Sarungu, J. J., Hakim, L., & Soesilo, A. M. (2020). Dynamic panel data analysis of poverty in Indonesia. 143(ISBEST 2019), 137–141. https://doi.org/10.2991/aebmr.k.200522.028
Safrinja, E., Andiny, P., Mardhani, M., & Safuridar, S. (2025). Analisis ketimpangan pendapatan, indeks pembangunan manusia, dan upah minimum terhadap kemiskinan di Provinsi Aceh.
Samiani, S., Endang, E., Susilo, J. H., & Astuti, H. (2024). Dynamic panel data modeling of Indonesia’s poverty level 2013–2022. 25(April). https://doi.org/10.18196/jesp.v25i1.21079
Santi, E., Pravitasari, A. E., & Lubis, I. (2020). Mapping of spatial distribution and spatial autocorrelation patterns of poverty in all regencies/cities in Indonesia. 4(1), 271–282. https://doi.org/10.30871/jagi.v4i1.1565
Satriawan, B., Ratih, A., & Yuliawan, D. (2025). Inequality, poverty, and human capability in Sumatra’s inclusive growth. 4(1), 297–320. https://doi.org/10.58526/jsret.v4i1.701
Shalma, E., Ratih, A., & Taher, Y. (2025). Exploring the determinants of poverty gap in Sumatra Island: A spatial regression approach. 3(6), 1683–1694.
Shodiq, M., Riamto, W., & Donoriyanto, D. S. (2025). Analisis klaster kemiskinan 38 provinsi Indonesia berdasarkan pengaruh sumber daya manusia, infrastruktur, dan ekonomi. 65–76. https://doi.org/10.33364/algoritma.v22i2.2223
Suresh, J. (2023). Poverty is lack of capabilities: A literature review. 7(2454), 462–476. https://doi.org/10.47772/IJRISS
Wandita, D. T., Gunarto, T., & Ratih, A. (2022). The effect of economic multidimensional poverty growth. 1(9), 1413–1421.
Yunita, I., & Gultom, P. (2025). Multidimensional determinants of poverty and regional clustering in North Sumatra, Indonesia: A factor and cluster-based analytical approach. 22(7), 209–217. https://doi.org/10.9734/sajsse/2025/v22i71073
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