Region-wise comparative analysis of multi-dimensional poverty in Khyber Pakhtunkhwa

N. Ahmad, J. Iqbal, Z. Haq
{"title":"Region-wise comparative analysis of multi-dimensional poverty in Khyber Pakhtunkhwa","authors":"N. Ahmad, J. Iqbal, Z. Haq","doi":"10.52279/jlss.04.02.262278","DOIUrl":null,"url":null,"abstract":"While there is no specific definition of poverty, it is now increasingly being considered as a multi-dimensional phenomenon instead of a unidimensional concept such as lack of income. This study delves into a region-wise comparative analysis of poverty in the northwestern province of Pakistan, Khyber Pakhtunkhwa, which borders Afghanistan and has been witnessing drastic implications of the war against terrorism in Afghanistan. PSLM/HIES 2018-19 data from the Pakistan Bureau of Statistics has been used in the study which has a sample size of 4464 households from the province of Khyber Pakhtunkhwa. The study incorporates ten key dimensions of poverty into the construction of multi-dimensional poverty index as per the Alkire-Foster methodology. The findings of the study reveal that the average poverty rate in the province is about 50 percent. The divisions of Bannu, Malakand, and D. I. Khan are the poorest regions in the province, whereas, as expected, the divisions of Peshawar and Mardan are the least poor. Our results also indicate that rural areas of the province have more severe poverty as compared to urban areas of the province.","PeriodicalId":292498,"journal":{"name":"Journal of Law & Social Studies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Law & Social Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52279/jlss.04.02.262278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

While there is no specific definition of poverty, it is now increasingly being considered as a multi-dimensional phenomenon instead of a unidimensional concept such as lack of income. This study delves into a region-wise comparative analysis of poverty in the northwestern province of Pakistan, Khyber Pakhtunkhwa, which borders Afghanistan and has been witnessing drastic implications of the war against terrorism in Afghanistan. PSLM/HIES 2018-19 data from the Pakistan Bureau of Statistics has been used in the study which has a sample size of 4464 households from the province of Khyber Pakhtunkhwa. The study incorporates ten key dimensions of poverty into the construction of multi-dimensional poverty index as per the Alkire-Foster methodology. The findings of the study reveal that the average poverty rate in the province is about 50 percent. The divisions of Bannu, Malakand, and D. I. Khan are the poorest regions in the province, whereas, as expected, the divisions of Peshawar and Mardan are the least poor. Our results also indicate that rural areas of the province have more severe poverty as compared to urban areas of the province.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
开伯尔-普赫图赫瓦省多维贫困的区域比较分析
虽然贫穷没有具体的定义,但现在越来越被认为是一个多方面的现象,而不是像缺乏收入这样的单一概念。本研究深入研究了巴基斯坦西北部省份开伯尔-普赫图赫瓦省的贫困地区对比分析,该省与阿富汗接壤,并见证了阿富汗反恐战争的巨大影响。该研究使用了巴基斯坦统计局的PSLM/HIES 2018-19年的数据,该研究的样本量为开伯尔-普赫图赫瓦省的4464户家庭。本研究根据阿尔凯尔-福斯特方法,将贫困的十个关键维度纳入多维贫困指数的构建中。研究结果显示,该省的平均贫困率约为50%。班努区、马拉坎德区和迪汗区是该省最贫穷的地区,而正如所料,白沙瓦区和马尔丹区是最贫穷的地区。我们的研究结果还表明,与该省城市地区相比,该省农村地区的贫困更为严重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reorganizing Punjab on Administrative Lines: Potentials and Challenges Role of Wali in Contract Marriage of Islam: A Critical Analysis Legal Ethics and Privilege Communication Who can Practice Islamic Entrepreneurship: A Review of Recent Literature on Personality Traits An Analysis of Socio-Economic and Health Issues of Aged Construction Workers as Perceived by them
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1