Investigating Multidimensional Poverty in District Shangla, KPK, Pakistan

Abstract

The main purpose of the present study is to investigate the multidimensional poverty in district
Shangla. Primary data was collected through the questionnaire in 2018. A Multistage sampling
technique has been used for the collection of data. The study has two main parts, one is to measure
multidimensional poverty and the other is to investigate multidimensional poverty. For the
measurement of multidimensional poverty, Alkire-Foster (2011) methodology was used. The
results of the study indicate that 62 percent of the households are multidimensional poor, and the
multidimensional poverty index (MPI) for this area is 0.427. Through the logistic regression model,
various contributing factors of multidimensional poverty have been investigated. The results show
that the household size, dependency ratio, and distance to the local administrative center are
positively and significantly related to multidimensional poverty. The study has found that land
holding, education of the household head, gender of the household head, availability of road, value
of the household assets, and participation rate have a negative and significant impact on
multidimensional poverty.