Multidimensional Poverty Analysis in Coastal Region of Sindh Province, Pakistan; a Case Study of Thatta and Badin Districts

Abstract

Ghulam Nabi Dahria, Basit Ali Talpurb, Jing Wanga, Linyue Hu, Shumaila Tabassumc and Abdul Salam Khosod

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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