The Effect of Poverty Levels, Open Unemployment Rates on Crime Rates in Indonesia 2014-2024: a VECM Approach

  • Viona Retno Oktaviani * Mail Universitas Islam Negeri Raden Intan Lampung, Lampung, Indonesia
  • Ahmad Hazas Syarif Universitas Islam Negeri Raden Intan Lampung, Lampung, Indonesia
  • Alief Rakhman Setyanto Universitas Islam Negeri Raden Intan Lampung, Lampung, Indonesia
Keywords: crime; unemployment rate; poverty

Abstract

The economy is one of the main triggers of high crime rates in Indonesia. This study aims to explore the extent of the relationship between poverty and open unemployment rates and crime rates in this country. This study was conducted using a quantitative approach, utilizing panel data and a VECM model to analyze long-term impacts. The data sources used were secondary data from reports by the Central Statistics Agency (BPS) and the Indonesian National Police (Polri). The results show that poverty has a significant positive impact on crime rates in Indonesia, as seen from the t-statistic being greater than the t-table, namely 13.9926 > 1.966378803 with a coefficient value of 34300.84. Similarly, open unemployment also has a significant positive impact as seen from the t-statistic which is greater than the t-table, namely 4.73350 > 1.966378803 with a coefficient value of 34616.26. Overall, these two factors, poverty and open unemployment, have a significant positive impact on crime rates in Indonesia, as indicated by an F-statistic greater than the t-table, namely 24.36384 > 1.96637883. These long-term findings indicate that high poverty rates and open unemployment rates can affect crime rates in Indonesia, while in the short term the opposite is true. This occurs because of survival mechanisms that utilize savings or government assistance. This study provides empirical evidence on the influence of poverty rates and open unemployment rates on high crime rates in Indonesia.

References

Agnew, R. (1992). Foundation for a General Strain Theory of Crime and Delinquency. In Criminology (Vol. 30, Issue 1). https://doi.org/10.1111/j.1745-9125.1992.tb01093.x

Aliyah, T., Bahtiar, M. Y., & Zulaikah. (2025). Pengaruh Bantuan Sosial , Tingkat Pendidikan dan Tingkat Pengangguran Terbuka ( TPT ) Terhadap Kemiskinan Di Indonesia Tahun 2018-2022 Dalam Perspektif Ekonomi Islam. 05(Tumangkeng 2019), 491–508. https://doi.org/https://doi.org/10.54209/jasmien.v5i02.1184

Alvianto Putra Arizandi, M., Rochaida, E., Tinggi Ilmu Ekonomi Samarinda, S., & Timur, K. (2021). Analisis Tingkat Pengangguran serta Tingkat Kemiskinan di Indonesia. Prosiding Seminar Nasional Manajemen Dan Ekonomi Bisnis, 1. http://journal.feb.unmul.ac.id/index.php/PROSNMEB

Armin, F., & Idris. (2020). Analysis of the Effects of Education, Unemployment, Poverty, and Income Inequality on Crime in Indonesia. https://doi.org/DOI 10.2991/aebmr.k.200305.092

Cohen, L., & Felson, M. (2020). Social Change and Crime Rate Trends: A Routine Activity Approach. American Sociological Review, 44(4), 588–608. https://doi.org/https://doi.org/10.2307/2094589

Diana, N., Syarif, ahmad hazas, & Nurhayati. (2024). Analisis Populasi Penduduk, Tingkat Pengangguran Terbuka Dan Inflasi Daerah Terhadap Ketimpangan Pendapatan Daerah Dalam Perspektif Ekonomi Islam Periode 2018-2023 (Studi Pada Provinsi Sesumatera). Jurnal Bisnis Manajemen, 2(3).

Ersten Hermawan, J., Farel Dwi Putranto, L., Diah Estiana, M., Paulus Kumawol, F., Rosario Wisnu Aji, M., B Kadarusman, Y., & Sihol Parningotan, F. (2024). Analisis Ekonomi Terapan Menggunakan Ms. Excel & E-Views 12.

Hendri Doni, A., Alfiona, F., Andespa, W., dan Bisnis Islam, E., & Islam Negeri Sjech Djamil Djambek Bukittinggi, U. M. (2023). Pengangguran Dalam Perspektif Ekonomi Islam Dan Kovensional. Manajemen Dan Syariah JIEMAS, 2(3), hal. 1-120. https://doi.org/10.55883/jiemas.v2i3

Hilman, G. Y., Sasmito, B., & Wijaya, A. P. (2015). Pemetaan Daerah Rawan Kriminalitas Di Wilayah Hukum Poltabes Semarang Tahun 2013 Dengan Menggunakan Metode Clustering. Jurnal Geodesi Undip, 4(1), 32–42. https://doi.org/https://doi.org/10.14710/jgundip.2015.7464

Juhro, S. (2020). Ekonomi Moneter Islam Suatu Pengantar. Rajagrafindo.

Karyoko, D. (2024). Apa Benar Ada Hubungan Antara Angka Kriminalitas dengan Kemiskinan di Indonesia. GoodStats. https://goodstats.id/article/kaitan-penurunan-angka-kriminalitas-dengan-kemiskinan-di-indonesia-xARXr

Kristinawati, A., Sarfiah, S. N., & Destiningsih, R. (2020). analisis pengaruh pendidikan tingkat pengangguran terbuka dan pengeluaran subsidi terhadap tingkat kemiskinan di indonesia tahun 1998-2018. DINAMIC: Directory Journal of Economic, Volume 2(Nomer 4).

Mayaquez, H., Kurniawan, M., & Setyanto, A. R. (2024). Pengaruh indeks pembangunan manusia , tingkat pengangguran dan kemiskinan terhadap pertumbuhan ekonomi indonesia ( 2014-2023). Islamic Economics Journal, 5(1), 57–71. https://doi.org/https://doi.org/10.24042/slm.v5i1.23284

Merton, R. K. (2017). Social structure and anomie. In Gangs (pp. 3–13). https://doi.org/10.4324/9781351157803-1

Modise, J. M. (2025). Social And Economic Drivers Of Violent Crime In South Africa : Journal of Multidisciplinary Research and Studies, 2(10), 1–10.

Muhamad. (2022). metodologi penelitian ekonomi islam pendekatan kuantitatif.

Nahe Sahrul, S. F. R. E. T. M. L. S. Y. (2024). Analisis Pengaruh Kemiskinan dan Pengangguran Terhadap Tingkat Kriminalitas di Sulawesi Tengah Periode 2018-2022. Politik Dan Pemerintah Daerah, 6(2), 203–214.

Naurah, N. (20224). Polri: Kejahatan di Indonesia Naik 4,3% Pada 2023, Tembus 288 Ribu Kasus. https://goodstats.id/article/polri-kejahatan-di-indonesia-naik-4-3-pada-2023-tembus-288-ribu-kasus-ATR2H#google_vignette

Polri. (n.d.). data kejahatan. https://pusiknas.polri.go.id/data_kejahatan

Purwanti, E. Y., & Widyaningsih, E. (2019). Analisis Faktor Ekonomi Yang Mempengaruhi Kriminalitas Di Jawa Timur. Jurnal Ekonomi-Qu, 9(2). https://doi.org/10.35448/jequ.v2i2.7165

Rahmi, M., & Roza Adry, M. (2018). pengaruh tingkat putus sekolah, kemiskinan dan pengangguran terhadap kriminalitas di indonesia. Jurnal Ecosains, Volume 7(Nomor 2), Hal 147-154.

Raphael, S., & Winter-Ebmer, R. (2020). Identifying the Effect of Unemployment on Crime. The Journal of Law and Economics, 43(1), 259–283.

Rottenberg, S. (1976). The Economic Of Crime And Punishment.

Rusnani. (2015). Pengaruh Kemiskinan Terhadap Meningkatnya Kriminalitas Di Kabupaten Sumenep. PERFORMANCE “ Jurnal Bisnis & Akuntansi,” 5(1), 42–59. https://doi.org/10.24929/feb.v5i1.128

Saputra, R. (2023). Analisis Tingkat Pendidikan, Kemiskinan dan Pengangguran Terhadap Kriminalitas di Bekasi. In Jurnal Ilmu Hukum, Humaniora dan Politik (Vol. 3, Issue 4, pp. 159–163). https://doi.org/https://doi.org/10.38035/jihhp.v3i4

Saputra, S. A., & Widodo, W. (2023). The Impact of Poverty, Economic Inequality, and Unemployment on Crime Rates in Central Java Province from 2000 to 2021. In Journal of Economic Education (Vol. 12, Issue 1, pp. 113–124). https://doi.org/DOI 10.15294/jeec.v12i1.74064

Schwarzer, N. (2024). The Theory. In Quantum Gravity War. https://doi.org/10.1201/9781032710709-3

Smith, T., Drabenstott, M., & Gibson, L. (1987). The Role of Universities In Economic Development. In Federal Reserve Bank of Kansas City Econoic Review (p. 20).

Susanti, S. T., Ananta, P., Suparta, I. W., & Murwiati, A. (2025). Pengaruh Faktor Ekonomi Terhadap Kriminalitas Di Indonesia. 2(6), 1794–1801. https://doi.org/10.60076/ijema

Triatmanto, B., & Bawono, S. (2023). The interplay of corruption, human capital, and unemployment in Indonesia: Implications for economic development. Journal of Economic Criminology, 2(February), 100031. https://doi.org/10.1016/j.jeconc.2023.100031

Yonatan, A. (2025). 10 Provinsi Paling Rawan Kejahatan 2024. GoodStats. https://data.goodstats.id/statistic/10-provinsi-paling-rawan-kejahatan-2024-fsSe0#goog_rewarded

Dimensions Badge
Published
2026-04-02
How to Cite
Oktaviani, V. R., Syarif, A. H., & Setyanto, A. R. (2026). The Effect of Poverty Levels, Open Unemployment Rates on Crime Rates in Indonesia 2014-2024: a VECM Approach. Journal of Trends Economics and Accounting Research, 6(3), 440-448. https://doi.org/10.47065/jtear.v6i3.2593
Section
Articles