SPATIAL INEQUALITIES OF MULTIPLE DIMENSIONS OF ENERGY POVERTY IN PAKISTAN

Abstract

Energy poverty is important to address its eradication. This paper deals with the multidimensionality of energy poverty and the spatial inequality of energy poverty in Pakistan using the latest cross-sectional data (2019 to 2020) from the PSLM survey. The multiple dimensions of energy poverty are calculated using a set of fifteen major indicators and weights assigned using the Principal Component Analysis technique. One of the most basic and fundamental necessities of a nation is access to clean and modern energy. The study investigates whether there is a spatial inequality in access to energy services in Pakistan. Inequities are analyzed both within and across the provinces of Pakistan. Approximately 155,988 entries make up the study dataset. Statistical techniques including one-way ANOVA and T-testing are used to inspect these inequities. Spatial inequity differences in energy poverty were shown to be significant by the study's findings. Health and education attainment might be adversely affected by energy poverty, according to the study findings. The development policy agenda is an area that most notably derives assistance from the study findings both in Pakistan and other developing countries.