The causal effect of divorce and income inequality on crime: Evidence from Azerbaijan

Type of the article: Research Article AbstractCrime remains a significant socio-economic issue, shaped by social instability and economic inequality, and poses critical challenges for public administration and policymaking. In Azerbaijan, rising divorce rates and persistent income disparities have...

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Main Authors: Mayis Gulaliyev, Shahla Huseynova, Gunay Hasanova, Reyhan Azizova, Elmira Gojaeva
Format: Article
Language:English
Published: LLC "CPC "Business Perspectives" 2025-08-01
Series:Problems and Perspectives in Management
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Online Access:https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/22696/PPM_2025_03_Gulaliyev.pdf
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Summary:Type of the article: Research Article AbstractCrime remains a significant socio-economic issue, shaped by social instability and economic inequality, and poses critical challenges for public administration and policymaking. In Azerbaijan, rising divorce rates and persistent income disparities have become prominent social concerns, with the former reflecting shifts in family structure and the latter captured by the Gini index as a measure of income inequality. This study explores the causal relationships between crime, income inequality, and divorce rates in Azerbaijan from 2000 to 2021, utilizing econometric methodologies. From a public administration perspective, the study provides empirical insights to support more effective and targeted interventions in crime prevention, social protection, and family policy. Methodologically, the Johansen cointegration test is applied to identify long-term equilibrium relationships among the variables, while the Toda-Yamamoto Granger causality test is employed to examine the directional causality. The cointegration analysis reveals stable long-term associations between crime, income inequality, and divorce, with trace statistics (32.172, 16.067, and 4.052) exceeding their respective critical values at the 5% significance level. Additionally, the Toda-Yamamoto test shows that income inequality significantly influences crime (χ² = 5.145, p = 0.023), with divorce exhibiting a stronger predictive relationship with crime (χ² = 7.071, p = 0.007). These findings underscore the necessity for integrated crime prevention strategies, emphasizing the role of public administration in designing and implementing coherent socio-economic policies.
ISSN:1727-7051
1810-5467