Property crime in the South Caucasus - Panel Data Analysis

The paper aims to determine the various variables affecting property crimes (theft, robbery, burglary) in the South Caucasus (Azerbaijan, Armenia, and Georgia). For this purpose, we used panel data from three countries - registered property crimes from 1997-2018. Through the first difference estimator of the GMM, we studied the effect of deterrence, socio-economic, geographical and other variables on the property crime rates. The analysis revealed that past crime and urbanisation have a positive effect on property crime. In contrast, the clear-up rate and real wage change have negative ones. However, as for other economic variables used in the empirical analysis, the study does not confirm a statistically significant relationship, which may be explained by these countries' economic development levels.

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Publication Details

Journal
Caucasus Journal of Social Sciences
Published
2024-12-24
DOI
https://doi.org/10.62343/cjss.2024.253
Primary Topic
Insurance and Financial Risk Management
Type
article
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article

Property crime in the South Caucasus - Panel Data Analysis

Egnate Shamugia, Tamar Ketsbaia
Caucasus Journal of Social Sciences
Insurance and Financial Risk Management
article

Property crime in the South Caucasus - Panel Data Analysis

Egnate Shamugia, Tamar Ketsbaia
article en

Abstract

The paper aims to determine the various variables affecting property crimes (theft, robbery, burglary) in the South Caucasus (Azerbaijan, Armenia, and Georgia). For this purpose, we used panel data from three countries - registered property crimes from 1997-2018. Through the first difference estimator of the GMM, we studied the effect of deterrence, socio-economic, geographical and other variables on the property crime rates. The analysis revealed that past crime and urbanisation have a positive effect on property crime. In contrast, the clear-up rate and real wage change have negative ones. However, as for other economic variables used in the empirical analysis, the study does not confirm a statistically significant relationship, which may be explained by these countries' economic development levels.

Caucasus Journal of Social SciencesVol. 17(1)
University of Georgia (US)
Sustainable cities and communities
Openalex Percentile: Top 70%
Insurance and Financial Risk Management
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