分析巴基斯坦的犯罪和经济困境:Ardl约束测试方法

S. Zaman, Atta Ullah Khan
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摘要

目前的研究解释了经济不适、金融冲击和快速城市化会增加一个国家的犯罪率。此外,这项研究工作强调了经济痛苦和城市化的增加在社会上造成无数社会经济问题的程度。该研究使用了从不同来源收集的1990年至2021年期间的年度时间序列二手数据。研究人员在现有的关于巴基斯坦的文献中发现了非常有限的经济痛苦和犯罪的证据。因此,开展这方面的研究工作是当前的需要。研究工作的首要目标是检查经济痛苦的犯罪率,如汉克的年度痛苦指数(HAMI)和巴基斯坦的城市化所示。通过相关图和Ljung-Box (LB)统计检验了数据的平稳性。该研究使用了自回归分布式滞后方法来调查巴基斯坦的经济困境和城市化如何影响犯罪活动。犯罪模型产生了实质性的结果,结果与预期一致。研究结果显示,HAMI和城市化系数显著且为正信号,这意味着经济困难和城市人口的增加加剧了巴基斯坦的犯罪率。为了控制犯罪,政府可能不得不采取可能减少经济痛苦的新策略,即将通货膨胀保持在一个理想的水平,降低失业率,促进经济增长,并阻止城市化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing Crimes And Economic Misery In Pakistan: Ardl Bound Testing Approach
The present study explains economic discomfort, financial shocks, and rapid urbanization increase crime in a country. Furthermore, this research work highlights the extent to which economic misery and an increase in urbanization create countless socioeconomic problems in society. The study used annual time series secondary data for the period 1990 to 2021 collected from different sources. Researchers have found very limited evidence of economic misery and crime in the existing literature on Pakistan. Thus, carrying out research work on the subject was the need of the day. The foremost objective of the research work was to examine crime rates in the presence of economic misery, as denoted by Hanke's Annual Misery Index (HAMI) and urbanization in Pakistan. The stationarity of the data has been checked by correlogram and Ljung-Box (LB) statistics. The study used an Autoregressive Distributed Lags approach to investigate how economic misery and urbanization affect criminal activity in Pakistan. The crime model produced substantial results, and the outcomes are consistent with the expectations. The findings revealed that the HAMI and urbanization coefficients are significant with a positive sign, implying that economic hardship and an increase in urban population have exacerbated Pakistan's crime rate. To control crimes, the government might have to adopt new strategies that may decrease economic misery, i.e., keep inflation at a desirable level, reduce unemployment, improve economic growth, and discourage urbanization.
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