An estimation of the multidimensional energy poverty index in Pakistan

Abid Rashid Gill; Najma Rasheed; Muhammad Abrarulhaq; Farheen Akram

doi:10.1109/3ICT56508.2022.9990754

An estimation of the multidimensional energy poverty index in Pakistan

Abid Rashid Gill^*, Najma Rasheed, Muhammad Abrarulhaq, Farheen Akram

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

Abstract

The lack of access to modern energy resources restricts possibilities and widens the gap between affluent and poor people. Energy-poor households are those who do not have access to modern, reliable, and inexpensive energy. Therefore, the key aim of this study is to estimate the multidimensional energy poverty index in Pakistan. For this, the data has been taken from Pakistan Demographic and Health Survey 2017- 2018 (DHS), and a total of 20103 samples were selected for the current analysis. The Multidimensional Energy Poverty Index (MEPI) was calculated using five dimensions and six indicators to estimate energy poverty in the household. MEPI was calculated for overall Punjab and its nine divisions separately. The study's findings depict that 32 percent of households in overall Punjab have energy poverty. Similarly, from Division Bahawalpur 54 percent, DG khan division 64.3 percent, Faisalabad division 28.3 percent, Gujranwala division only 10.5 percent, Lahore division 14.8 percent, Multan division 45.1 percent, Rawalpindi division 21.7 percent and Sahiwal division 54.4 percent and Sargodha division a total of 34.9 percent households have multidimensional energy poverty.

Original language	English
Title of host publication	2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
Pages	58-63
Number of pages	6
ISBN (Electronic)	9781665451932
DOIs	https://doi.org/10.1109/3ICT56508.2022.9990754
Publication status	Published - 30 Dec 2022
Externally published	Yes
Event	2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022 - Virtual, Online, Bahrain Duration: 20 Nov 2022 → 21 Nov 2022

Publication series

Name	2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
Publisher	IEEE
ISSN (Print)	2770-7458
ISSN (Electronic)	2770-7466

Conference

Conference	2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022
Country/Territory	Bahrain
City	Virtual, Online
Period	20/11/22 → 21/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 10 Reduced Inequalities

Keywords

Energy Poverty
Pakistan
Poverty Index
Punjab

Access to Document

10.1109/3ICT56508.2022.9990754

Cite this

Gill, A. R., Rasheed, N., Abrarulhaq, M., & Akram, F. (2022). An estimation of the multidimensional energy poverty index in Pakistan. In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022 (pp. 58-63). (2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022). https://doi.org/10.1109/3ICT56508.2022.9990754

Gill, Abid Rashid ; Rasheed, Najma ; Abrarulhaq, Muhammad et al. / An estimation of the multidimensional energy poverty index in Pakistan. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022. 2022. pp. 58-63 (2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022).

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title = "An estimation of the multidimensional energy poverty index in Pakistan",

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Gill, AR, Rasheed, N, Abrarulhaq, M & Akram, F 2022, An estimation of the multidimensional energy poverty index in Pakistan. in 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022. 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022, pp. 58-63, 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022, Virtual, Online, Bahrain, 20/11/22. https://doi.org/10.1109/3ICT56508.2022.9990754

An estimation of the multidimensional energy poverty index in Pakistan. / Gill, Abid Rashid; Rasheed, Najma; Abrarulhaq, Muhammad et al.
2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022. 2022. p. 58-63 (2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - An estimation of the multidimensional energy poverty index in Pakistan

AU - Gill, Abid Rashid

AU - Rasheed, Najma

AU - Abrarulhaq, Muhammad

AU - Akram, Farheen

PY - 2022/12/30

Y1 - 2022/12/30

N2 - The lack of access to modern energy resources restricts possibilities and widens the gap between affluent and poor people. Energy-poor households are those who do not have access to modern, reliable, and inexpensive energy. Therefore, the key aim of this study is to estimate the multidimensional energy poverty index in Pakistan. For this, the data has been taken from Pakistan Demographic and Health Survey 2017- 2018 (DHS), and a total of 20103 samples were selected for the current analysis. The Multidimensional Energy Poverty Index (MEPI) was calculated using five dimensions and six indicators to estimate energy poverty in the household. MEPI was calculated for overall Punjab and its nine divisions separately. The study's findings depict that 32 percent of households in overall Punjab have energy poverty. Similarly, from Division Bahawalpur 54 percent, DG khan division 64.3 percent, Faisalabad division 28.3 percent, Gujranwala division only 10.5 percent, Lahore division 14.8 percent, Multan division 45.1 percent, Rawalpindi division 21.7 percent and Sahiwal division 54.4 percent and Sargodha division a total of 34.9 percent households have multidimensional energy poverty.

AB - The lack of access to modern energy resources restricts possibilities and widens the gap between affluent and poor people. Energy-poor households are those who do not have access to modern, reliable, and inexpensive energy. Therefore, the key aim of this study is to estimate the multidimensional energy poverty index in Pakistan. For this, the data has been taken from Pakistan Demographic and Health Survey 2017- 2018 (DHS), and a total of 20103 samples were selected for the current analysis. The Multidimensional Energy Poverty Index (MEPI) was calculated using five dimensions and six indicators to estimate energy poverty in the household. MEPI was calculated for overall Punjab and its nine divisions separately. The study's findings depict that 32 percent of households in overall Punjab have energy poverty. Similarly, from Division Bahawalpur 54 percent, DG khan division 64.3 percent, Faisalabad division 28.3 percent, Gujranwala division only 10.5 percent, Lahore division 14.8 percent, Multan division 45.1 percent, Rawalpindi division 21.7 percent and Sahiwal division 54.4 percent and Sargodha division a total of 34.9 percent households have multidimensional energy poverty.

KW - Energy Poverty

KW - Pakistan

KW - Poverty Index

KW - Punjab

UR - https://www.scopus.com/pages/publications/85146419344

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DO - 10.1109/3ICT56508.2022.9990754

M3 - Conference contribution book

AN - SCOPUS:85146419344

SN - 978-1-6654-5194-9

T3 - 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022

SP - 58

EP - 63

BT - 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022

T2 - 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022

Y2 - 20 November 2022 through 21 November 2022

ER -

Gill AR, Rasheed N, Abrarulhaq M, Akram F. An estimation of the multidimensional energy poverty index in Pakistan. In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022. 2022. p. 58-63. (2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022). doi: 10.1109/3ICT56508.2022.9990754

An estimation of the multidimensional energy poverty index in Pakistan

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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