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ESTIMATION OF PROVINCIAL MULTIDIMENSIONAL POVERTY INDEX (MPI) OF PAKISTAN |
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| รหัสดีโอไอ | |
| Creator | Rifat Mahmood, Ijaz Hussain |
| Title | ESTIMATION OF PROVINCIAL MULTIDIMENSIONAL POVERTY INDEX (MPI) OF PAKISTAN |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2563 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 11 |
| Journal No. | 13 |
| Page no. | 11A13R: 1-10 |
| Keyword | Poverty indices, MPI, Multidimensional poor, Pakistan's provinces, Khyber Pakhtunkhwa, Punjab, Sindh, Baluchistan, Poverty dimension, Poverty indicators, PSLM, Poverty measurement, Household poverty, Headcount ratio, Poverty assessment, Average poverty. |
| URL Website | http://TuEngr.com/Vol11_13.html |
| Website title | ITJEMAST V11(13) 2020 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | Poverty has multidimensional aspects. That is, it does not only capture the lack of consumption expenditure in terms of food poverty, but it also considers education, sanitation, housing, health, and other aspects as well. Thus, the assessment of poverty also considers the incorporation of all aspects during its assessment phase. Therefore, the new methodology of poverty assessment captures these deficiencies/deprivations that people face. The paper estimates the multidimensional poverty index (MPI), by considering five dimensions i.e. the quality of housing, health facility, education, basic needs, and living standards with 11 indicators. The theme of this paper is to consider all dimensions right at the time of poverty assessment, not to consider after the poverty assessment (as effects of poverty). This will clearly explain the multidimensional aspects of poverty assessment. This study will adopt a methodology used by Alkire and Foster (2007). This study used PSLM (Pakistan Social and Living Standard Measurement Survey, Round VII, 2013-14), which is micro-level data covered eighteen thousand households at the provincial level collected by the Pakistan Bureau of Statistics. This study finds that the nation-wise headcount ratio is 87% and MPI is 35%. The provinces with the highest MPI are seen in Sindh and Balochistan by 40% and minimum MPI are noticed in the provinces Punjab by 31% followed by Kyber Pakhtunwa by 34%. |
