Paper Key : IRJ************960
Author: Karl Lois Ivan R. Ventus,Sheney Alexandria N. Soriano,Christian Ivan A. Batangan,Rhem Rick N. Corpuz
Date Published: 07 Jan 2025
Abstract
The study explored property crime in Central Luzon, Philippines, focusing on factors like poverty, unemployment, tourism, and arrests. The study used Pearsons correlation and linear regression analysis to assess a bivariate relationship between property crime rates and each of its determinants, spanning from 2018 to 2023. The analysis revealed a nuanced relationship between property crime rates and socioeconomic factors. While a subtle inverse correlation between property crime and poverty rates was observed, it lacked statistical significance. The relationship between crime rates and unemployment was inconsistent. In contrast, a consistent and significant positive correlation was found between property crime and arrest rates, emphasizing law enforcement's role in deterrence. Tourism rates also showed a positive correlation with property crime, highlighting the need for targeted strategies in tourist areas. Regression analyses demonstrated high predictive accuracy, with arrest rates consistently emerging as a significant predictor of property crime. Overall, the findings underscore the multifaceted nature of crime dynamics and the importance of comprehensive, context-specific crime prevention strategies. Effective collaboration among government entities, community organizations, and residents is crucial for developing evidence-based strategies to enhance public safety and community resilience in Region 3.
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