Version 1
: Received: 29 September 2024 / Approved: 15 October 2024 / Online: 15 October 2024 (11:39:48 CEST)
How to cite:
Mkonza, Z. B.; Zungu, L. T. Investigating the Dynamic Impact of Socioeconomic Issues on Crimes: A Comparison of Newly Democratized Countries. Preprints2024, 2024101174. https://doi.org/10.20944/preprints202410.1174.v1
Mkonza, Z. B.; Zungu, L. T. Investigating the Dynamic Impact of Socioeconomic Issues on Crimes: A Comparison of Newly Democratized Countries. Preprints 2024, 2024101174. https://doi.org/10.20944/preprints202410.1174.v1
Mkonza, Z. B.; Zungu, L. T. Investigating the Dynamic Impact of Socioeconomic Issues on Crimes: A Comparison of Newly Democratized Countries. Preprints2024, 2024101174. https://doi.org/10.20944/preprints202410.1174.v1
APA Style
Mkonza, Z. B., & Zungu, L. T. (2024). Investigating the Dynamic Impact of Socioeconomic Issues on Crimes: A Comparison of Newly Democratized Countries. Preprints. https://doi.org/10.20944/preprints202410.1174.v1
Chicago/Turabian Style
Mkonza, Z. B. and Lindokuhle Talent Zungu. 2024 "Investigating the Dynamic Impact of Socioeconomic Issues on Crimes: A Comparison of Newly Democratized Countries" Preprints. https://doi.org/10.20944/preprints202410.1174.v1
Abstract
This study aims to investigate the dynamic impact of socio-economic issues such as youth unemployment and income inequality on crime by comparing the findings from newly democratized African countries (South Africa and Namibia) to those of recently democratized European countries (Lithuania and the Ukraine) and newly democratized Asian countries (Kyrgyzstan) from 1994 to 2019.
The study used the Bayesian vector autoregression approach with hierarchical priors. This model was chosen due to its ability to address the dynamics of several entities, such as the measurable defects where data quality is uncertain, or perhaps lacking as frequently happens. Prior selection in a Bayesian vector autoregression approach can help adjust for these flaws. According to the study's findings, an unexpected shock in unemployment and income inequality has a significant positive impact on crime; however, an unanticipated shock in government expenditure has a significant negative impact. The results are interesting, as we found that the impact of these socio-economic issues does not necessarily depend on the geographical area, as the results are similar for income inequality in both regions. This study serves as a wake-up call to the government that some policies (fiscal policy or income policy) are more appropriate for resolving concerns about inequality and unemployment than others. As a result, addressing these issues through policies that promote greater economic equality and ensure everyone has access to basic education, healthcare, and job training, could assist in reducing crime while promoting a more equal society.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
