Estimation of Multidimensional Urban Poverty in South Asian Cities: A Case of Lahore Metropolitan Area

K. Waheed, A. Khalid, S. rehman
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Abstract

Continuous monitoring of spatial variations in urban poverty is a complex multidimensional phenomenon. In urban areas of South Asian countries, various factors contribute to promote urban poverty e.g., rapid and unmanaged urbanization, high migration and inflation rates and fluctuations in land values. The poor community should be focused by policy makers to solve poverty related issues. This research was conducted in a metropolitan city Lahore in Punjab province of Pakistan which is confronting with urban poverty and need to construct a policy for poverty alleviation. Alkire-Foster approach was used to compute urban poverty by selecting poverty cut off point k=2/5 for this study. It demonstrates that 70.8% of households were poor whereas 29.8% households were living out of poverty with positive potentials. The results can be taken as a reference point to alleviate poverty in other regions of country.
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南亚城市多维贫困估算——以拉合尔大都市区为例
持续监测城市贫困的空间变化是一个复杂的多维现象。在南亚国家的城市地区,各种因素助长了城市贫困,例如,快速和无管理的城市化、高移徙率和通货膨胀率以及土地价值的波动。决策者应把重点放在贫困社区,以解决与贫困有关的问题。本研究是在巴基斯坦旁遮普省的一个大城市拉合尔进行的,这个城市正面临着城市贫困,需要制定扶贫政策。本研究采用Alkire-Foster方法计算城市贫困,选取贫困截断点k=2/5。结果表明,70.8%的家庭处于贫困状态,而29.8%的家庭处于正潜力脱贫状态。研究结果可作为我国其他地区减贫工作的参考点。
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