Socio-Economic Determinants of Property Crime Across the Districts of Punjab: Highlighting the Role of Law Enforcement Agencies of Pakistan

Bulletin of Business and Economics (BBE) Pub Date : 2024-06-01 DOI:10.61506/01.00289

Muhammad Shahid, Khalil Ahmad, Muhammad Amir Inayat, Muhammad Kashif Bhatti

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Abstract

This study intends to find socioeconomic determinants of property crimes in all districts of Punjab, Pakistan for the year 2018. The selected socio-economic explanatory variables are police strength, police proclaimed offenders, poverty, literacy rate, population density, and migrants and the dependent variable is reported property crimes. The ordinary Least Square (OLS) method is used for empirical analysis as the data set and all variables fulfill the assumptions of simple OLS. The results show that police-proclaimed offenders, poverty, population density, and migrants have a positive and significant impact on property crimes in Punjab. Police strength and literacy rate are inversely related to crimes against property. The results indicate that the most dense and populated areas provide more chances for criminals to commit crimes. So, to reduce crimes in Punjab province, the government should educate police officials with modern world technology to improve their performance in controlling property crimes across all districts of Punjab, Pakistan.

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旁遮普省各地区财产犯罪的社会经济决定因素：突出巴基斯坦执法机构的作用

本研究旨在找出 2018 年巴基斯坦旁遮普省各县财产犯罪的社会经济决定因素。选定的社会经济解释变量为警力、警方宣布的罪犯、贫困、识字率、人口密度和移民，因变量为报告的财产犯罪。由于数据集和所有变量均符合简单 OLS 假设，因此采用普通最小二乘法（OLS）进行实证分析。结果表明，警方宣布的罪犯、贫困、人口密度和移民对旁遮普省的财产犯罪有积极而显著的影响。警力和识字率与财产犯罪成反比。结果表明，人口最稠密的地区为犯罪分子提供了更多的犯罪机会。因此，为了减少旁遮普省的犯罪率，政府应该对警官进行现代技术教育，以提高他们在巴基斯坦旁遮普省所有地区控制财产犯罪的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bulletin of Business and Economics (BBE)

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