巴基斯坦信德省沿海地区多维贫困分析以塔塔和巴丁地区为例

Ghulam Nabi Dahri
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引用次数: 0

摘要

多层面措施提供了另一种视角,通过这种视角可以深入观察和理解贫困。有人认为,货币变量(如收入或支出)无法真正评估人类福祉。在南亚国家,49%的人是多维贫困人口,这是一种新兴现象。尺寸细分显示烹饪燃料;地板、营养、电力、儿童死亡率和学校教育是造成总体多维贫困的主要因素。107个发展中国家中有13亿人处于严重收入贫困状态,且贫困程度存在一定差距。而贫困困境由于其对发展进程的广泛影响,已成为发展中世界历史上的主要挑战。信德省沿海地区多维贫困问题分析塔塔和巴丁。确定多维贫困对沿海地区社会经济状况的影响。分析塔塔和巴丁地区的多维贫困状况,探讨影响研究区多维贫困的关键因素。收集主要数据是为了达到研究的目标和目的。数据收集过程采用随机抽样技术,总样本量为100人。数据以编码方式录入整理,通过SPSS软件和MS Office进行分析。采用Alkire和Foster方法进行贫困分析。我们观察到,在几乎所有由OPHI设定的指标中,Badin比Thatta区更具衍生性。需要通过公私合作改善的基础设施,增加日常收入来源,改善水资源供应,特别是在巴丁地区的尾部地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multidimensional Poverty Analysis in Coastal Region of Sindh Province, Pakistan; a Case Study of Thatta and Badin Districts
Multidimensional measures provide an alternative lens through which poverty may be viewed and understood deeply. It is argued that monetary variables (such as income or expenditure) are unable to truly evaluate human well-being. It is an emerging phenomenon in the South Asian countries where 49% of people are multidimensional poor. The dimension wise breakdown shows the cooking fuel; flooring, nutrition, electricity, child mortality and schooling have major contributors among overall multidimensional poverty. Across 107 developing countries, 1.3 billion people are suffering from acute income poverty with a certain disparity in magnitude. While the dilemma of poverty has become a leading challenge in the history of the developing world, due to its extensive impact on the developmental process. Analysis of Multidimensional poverty in the coastal region of Sindh; Thatta and Badin. To identify the impact of multidimensional poverty on socioeconomics conditions in the coastal region. To analyze the Multidimensional poverty in districts Thatta and Badin and examine the key factor influencing the multidimensional poverty in the study area. Primary data was collected to achieve targets and meet the objectives of the study. A random sampling technique used for the data collection procedure, total sample size of the respondents was 100. Data entered and arranged in a coding system, analyzed through SPSS software and MS Office. The Alkire and Foster method was used for the poverty analysis. We observed that Badin is more derivate as compare to the district Thatta in almost all indicator set by OPHI. Basic facilities needed for improvement through public private partnerships, daily earning source should be increase, and water availability should be improved specially in tail area of Badin district.
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