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

N. Ahmad, J. Iqbal, Z. Haq
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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.
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。
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