Identifying the Dynamic Effects of Income Inequality on Crime

Atems, Bebonchu

doi:10.1111/obes.12359

Cited by 12 publications

(12 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Evidence somehow is mixed. Some studies have supported a positive relationship between income inequality in society and crime (Atems 2020;Choe 2008;Enamorado et al 2016;Kim et al 2020). Other studies have failed to provide evidence of the link (Neumayer 2005) or found only a weak relationship.…”

Section: Introductionmentioning

confidence: 99%

Criminality and Income Inequality in Indonesia

et al. 2022

View full text Add to dashboard Cite

We investigate whether a nexus exists between income inequality and criminal activity in Indonesia. Additionally, we examine socioeconomic variables and potential links with criminal actions (i.e., crime rate, murder, rape, physical abuse, robbery, and fraud). We use the generalized method of moments (GMM) approach, employing data for 34 provinces in Indonesia over the period of 2010–2019. The results indicate that income inequality is associated with higher criminal activity. Overall, lower unemployment, larger investment (foreign and domestic), and higher human development (education and health) can help reduce crime in Indonesia. However, higher income can reduce physical abuse and crime rates, but theft and fraud increase with income growth. Rising unemployment increases rape, abuse, robbery, and fraud. Still, unemployment does not affect murder, suggesting that non-economic factors are dominant in explaining murder and violent crimes. Furthermore, income inequality can increase robbery and fraud, although it has no significant effects on murder, rape, and abuse. Government spending on social assistance and more efficient settlement of criminal acts can lower crime rates.

show abstract

Section: Introductionmentioning

confidence: 99%

Criminality and Income Inequality in Indonesia

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The econometric models used to analyse crime rate determinants have sometimes presented methodological problems that invalidate or bias the results obtained (Atems, 2020). Undoubtedly, the most important problem these techniques pose is the appearance of endogeneity, which requires a proper estimation of the model (Bun et al, 2020; Fajnzylber et al, 2002).…”

Section: Methodsmentioning

confidence: 99%

After the economic crisis of 2008: Economic conditions and crime in the last decade for the case of Spain

Torres-Téllez

Soler

2023

American J Econ Sociol

View full text Add to dashboard Cite

The economic approach to crime confirms that the deterioration of economic conditions influences the motivation of potential offenders to commit a crime or not. The relationship between crime and the economy status received considerable attention among the international literature. However, in Spain, there are just few studies that analyse this connection, and those that analyse the influence of the deterioration of the economy on crime after the crisis that began in 2008 are practically nonexistent. In order to fill this gap, this research applies the difference-GMM estimator for a sample of 47 provinces during the 2010-2018 period and controls the influence of different economic, demographic and dissuasive factors on the crime rate. The results obtained are similar to those of different investigations, since in the face of worsening economic conditions, no evidence of a positive and uniform effect on the crime rate is detected, especially when it differs according to different types of crimes possible. However, that relationship does exist and is robust in property crimes. Another common result in the empirical literature is also confirmed: adolescent male cohorts present the highest crime rates.

show abstract

“…The relationship between poverty, income inequality, and crime rates is complex. Hence, it is a controversial issue that has been debated at length in the literature (e.g., [71][72][73][74]). The conclusions from different studies often seem contradictory as they depend on the type of crime, the spatial resolution of the analyses, and the methodological and empirical approach.…”

Section: Spatial Analyses Of the Coefficientsmentioning

confidence: 99%

Spatial Modeling and Analysis of the Determinants of Property Crime in Portugal

Tavares

Costa

2021

IJGI

View full text Add to dashboard Cite

Many researchers have unraveled innovative ways of examining geographic information to better understand the determinants of crime, thus contributing to an improved understanding of the phenomenon. Property crimes represent more than half of the crimes reported in Portugal. This study investigates the spatial distribution of crimes against property in mainland Portugal with the primary goal of determining which demographic and socioeconomic factors may be associated with crime incidence in each municipality. For this purpose, Geographic Information System (GIS) tools were used to analyze spatial patterns, and different Poisson-based regression models were investigated, namely global models, local Geographically Weighted Poisson Regression (GWPR) models, and semi-parametric GWPR models. The GWPR model with eight independent variables outperformed the others. Its independent variables were the young resident population, retention and dropout rates in basic education, gross enrollment rate, conventional dwellings, Guaranteed Minimum Income and Social Integration Benefit, purchasing power per capita, unemployment rate, and foreign population. The model presents a better fit in the metropolitan areas of Lisbon and Porto and their neighboring municipalities. The association of each independent variable with crime varies significantly across municipalities. Consequently, these particularities should be considered in the design of policies to reduce the rate of property crimes.

show abstract

Identifying the Dynamic Effects of Income Inequality on Crime

Cited by 12 publications

References 71 publications

Criminality and Income Inequality in Indonesia

Criminality and Income Inequality in Indonesia

After the economic crisis of 2008: Economic conditions and crime in the last decade for the case of Spain

Spatial Modeling and Analysis of the Determinants of Property Crime in Portugal

Contact Info

Product

Resources

About