The Paradox of the Fifth Principle of Pancasila: Analyzing the Impact of Poverty and the Gini Coefficient on Corruption Trends in Indonesia
DOI:
https://doi.org/10.32662/golder.v9i2.5251Keywords:
Poverty, Gini Coefficient, CorruptionAbstract
This research aims to analyze the impact of poverty levels and the Gini coefficient on the number of corruption cases in Indonesia during the period of 2004–2026 and to examine its relationship with social justice based on the perspective of the fifth principle of Pancasila. The research method used is quantitative with a causal-comparative design and time series data. Analysis is conducted using multiple linear regression with the Ordinary Least Squares method, beginning with classical assumption testing, followed by simultaneous testing, partial testing, and determination of the coefficient of determination. The research results show that poverty levels and the Gini coefficient significantly influence the number of corruption cases simultaneously, explaining 56.71 percent of the variation. Separately, poverty levels have a negative and significant effect on the number of corruption cases, while the Gini coefficient does not show a significant effect. These findings indicate that changes in socio-economic conditions cannot be simply understood as determinants of changes in the number of cases Corruption. The relationship between poverty, income distribution, and corruption may also be influenced by institutional conditions, as well as the capacity for detection and law enforcement, which are not included in the research model. The findings indicate that the relationship between socioeconomic conditions and corruption is complex in the context of social justice in Indonesia.
References
Jurnal :
Banerjee, A. V. (1997). A theory of misgovernance. Quarterly Journal of Economics, 112(4), 1289–1332. https://doi.org/10.1162/003355300555484
Benedictus Maria, N. S., Robertus, M. H., & Robertus, F. D. (2025). Interplay between Income Inequality and Corruption in ASEAN. Media Ekonomi Dan Manajemen, 40(2), 338. https://doi.org/10.56444/mem.v40i2.5845
Grajzl, P., & Murrell, P. (2024). Caselaw and England’s economic performance during the Industrial Revolution: Data and evidence. Journal of Comparative Economics, 52(1), 145–165. https://doi.org/10.1016/j.jce.2023.10.002
Harsono, I., Purnamawati, I. G. A., & Demung, I. W. (2023). Determinants of Economic Growth, Poverty, and Unemployment: A Path Analysis Study. Jurnal Ilmu Sosial Dan Humaniora, 12(2), 359–366. https://doi.org/10.23887/jish.v12i2.63986
Hidayat, S., Tambunan, D., & Haning, Y. (2024). Unjust by default: The political economy of Indonesia’s local government policy on infrastructure development. Asian Journal of Comparative Politics. https://doi.org/10.1177/20578911241260442
Imantria, B. (2024). Determinants of Poverty in Indonesia: Does Per Capita Income Matter? Efficient: Indonesian Journal of Development Economics, 7(3), 244–256. https://doi.org/10.15294/efficient.v7i3.13344
Karimi, K., Mulyani, P., Murialti, N., & Tibrani, T. (2023). Pengaruh Penanaman Modal Asing, Indeks Persepsi Korupsi, Kemiskinan, Pengangguran dan Upah Minimum Terhadap Ketimpangan Pendapatan Di Indonesia. Jurnal Akuntansi Dan Ekonomika, 13(1), 107–116. https://doi.org/10.37859/jae.v13i1.4775
Khan, S. (2021). Investigating the Effect of Income Inequality on Corruption: New Evidence from 23 Emerging Countries. Journal of the Knowledge Economy, 13(3), 2100–2126. https://doi.org/10.1007/s13132-021-00761-6
Krueger, A. 0. (1974). La economía política de la sociedad de búsqueda de rentas. 64(3), 291–303.
Kumar, N. K. (2023). Autocorrelation and Heteroscedasticity in Regression Analysis. Journal of Business and Social Sciences, 5(1), 9–20. https://doi.org/10.3126/jbss.v5i1.72442
Madan, P., Aggarwal, P., Anil Bhat, V., Singh, R., Prasad, D., & Shaik, D. (2025). Digital technologies and governance: Analyzing the impact of e-government on corruption reduction and social integrity. Multidisciplinary Science Journal, 7(Supplementary Issue), 2025ss0324. https://doi.org/10.31893/multiscience.2025ss0324
Nawatmi, S., Setiawan, M. B., Maskur, A., & Nusantara, A. (2024). the Effect of Corruption on Poverty in Indonesia. International Journal of Economics, Business and Accounting Research (IJEBAR), 8(4). https://doi.org/10.29040/ijebar.v8i4.15620
Page, Aliya, N. N., & I. Bagus, Putu Purbadharmaja. (2026). The Impact of Corruption on Structural Poverty in Indonesia. International Journal of Economics Accounting and Management, 2(5), 515–526. https://doi.org/10.60076/ijeam.v2i5.1837
Paramita, R. W. D., Rizal, N., & Sulistyan, R. B. (2021). Metode Penelitian Kuantitatif (Edisi 3). Widya Gama Press. http://repository.itbwigalumajang.ac.id/id/eprint/1073
Pîrvan, C., & Nișulescu, I. (2022). Poverty and Inequality as Predictors of Corruption. CECCAR Business Review, 3(4), 66–72. https://doi.org/10.37945/cbr.2022.04.08
Saingo, M. &. (2021). Urgensi Nilai-nilai Pancasila Bagi Pejabat Pemerintahan Dalam Upaya Pencegahan Korupsi Di Indonesia. Multidisiplin Ilmu, 2(6), 1209–1218. https://journal.mediapublikasi.id/index.php/bullet/article/view/3798/2147
Tamba, W. P., Felani Budi Hartanto, M., & Yunia Putri, P. (2024). Pancasila sebagai Dasar Kebijakan Kesejahteraan Sosial di Indonesia. Pancasila: Jurnal Keindonesiaan, 4(2), 146–162. https://doi.org/10.52738/pjk.v4i2.573
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