A Spatial Analytical Approach to Assess the Impact of Casinos: A Case study in Macau

• In Event: Social Disorganization Theory: Places, Spaces, and Time

Abstract

Background: The correlation between casino openings and increased crime has been discussed for decades by criminologists, economists, and sociologists. However, the impact of casinos on crime may vary by their location, but research is limited.

Hypothesis: The study posits that casinos cluster with deviant behaviors, substance abuse, and victimization, with varying impacts based on location. Casinos in densely populated areas may attract more of these behaviors.

Methodology: Data from two Macau household surveys are used to analyze the relationship between casinos and deviant behaviors, substance abuse, and victimization. Both surveys screen individuals over 12 years old by stratified random sampling (block, building) to ensure spatial representativeness. The second survey screens spatial point analysis using spatial auto-correlation statistics (Local Moran’s I) to assess the spatial clustering effect, while binary logistic regression identifies predictors.

Results: Casinos exhibit different effects on deviant behaviors, victimization, and substance abuse. Proximity to a casino correlates with increased prescription abuse, smoking, and alcohol consumption. However, the impact on deviant behaviors and victimization is inconsistent. Interaction analysis suggests stronger effects in low-density, low socio-economic areas. Regression indicates factors like physical problems, child abuse, peer attitudes and behaviors, and education level also contribute to these behaviors.

Authors

• Wenyi Wang, University of Texas at Dallas

• Yiyi Chen, University of Macau

• Mi Kang, University of Macau

• Spencer De Li, University of Macau