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Multidimensional energy poverty and its determinants

Author

Listed:
  • Muhammad Abrar ul Haq
  • Najma Rasheed
  • Abid Rashid Gill
  • Qaiser Munir

Abstract

The current study aims to identify the factors affecting multidimensional energy poverty in Pakistan. For this purpose, information about 2013 households has been taken from the Pakistan Demographic and Health Survey 2017-2018. The study uses the multidimensional energy poverty index as a dependent variable composed of five dimensions: communication facilities, entertainment/education, household appliances, lighting, and cooking. The logistic regression technique has been applied to scrutinise the results for Punjab and its nine divisions separately to analyse the factors affecting Punjab's multidimensional energy poverty index. Empirical findings indicate that age of the head of the household, no education, incomplete primary, complete primary, incomplete secondary, wealth statuses of the families, and rural residence are statistically significant factors affecting multidimensional poverty in all nine divisions of Punjab. The study recommends that the government frame specific policies to improve education levels and create more opportunities for wealth generation that ultimately affect energy poverty.

Suggested Citation

  • Muhammad Abrar ul Haq & Najma Rasheed & Abid Rashid Gill & Qaiser Munir, 2024. "Multidimensional energy poverty and its determinants," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 28(3/4), pages 379-397.
    • Handle: RePEc:ids:ijecbr:v:28:y:2024:i:3/4:p:379-397
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