TY - JOUR
T1 - Energy poverty in Sri Lanka
AU - Jayasinghe, Maneka
AU - Selvanathan, E. A.
AU - Selvanathan, Saroja
N1 - Funding Information:
The authors wish to thank the Sustainable Energy Policy Cluster (SEPC) of the Department of Accounting, Finance and Economics, Griffith University, and Asia Pacific College of Business and Law, Charles Darwin University for providing funds to undertake this research project. The authors would like to thank the Department of Census and Statistics, Sri Lanka for providing access to HIES data and Ms. Tanya Parker for editorial assistance. The authors are grateful to the editor-in-chief Professor R S J Tol, the editors of the special issue, Associate Professor Sefa Awaworyi Churchill, Professor Nicholas Apergis, and Professor Muhammad Shahbaz, and two anonymous reviewers for their constructive comments to improve the quality of this paper.
Publisher Copyright:
© 2021 The Author(s)
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/9
Y1 - 2021/9
N2 - Understanding energy poverty is fundamental to any efforts to alleviate it. This paper, using the latest (2016) Sri Lankan Household Income and Expenditure survey data, examines the incidence, intensity, inequality, and determinants of energy poverty in Sri Lanka, by constructing the Multidimensional Energy Poverty Index (MEPI). The MEPI is calculated using a set of seven key indicators representing multiple dimensions of energy and assigning weights by using the Principal Component Analysis (PCA). Sri Lankan households, on average, are experiencing a moderate level of energy poverty (with MEPI of 0.431) where the lack of access to modern cooking fuel is the largest contributor to energy poverty. Results of this study revealed notable differences in energy poverty by gender, age, ethnicity, and income group of the head of the household and by sub-national location of the household. Significant differences in inequality in energy poverty were also observed by sub-national location and income. While energy-poor households are not necessarily always income-poor, income and other socio-demographic and geographical factors are strongly associated with energy poverty in Sri Lanka. The findings of this study raise alarms for the possible adverse implications on health and education attainment of the energy-poor. Overall, the results provide valuable policy insights into one of the most neglected dimensions of the post-war development policy agenda in Sri Lanka, in particular, and other developing countries, in general.
AB - Understanding energy poverty is fundamental to any efforts to alleviate it. This paper, using the latest (2016) Sri Lankan Household Income and Expenditure survey data, examines the incidence, intensity, inequality, and determinants of energy poverty in Sri Lanka, by constructing the Multidimensional Energy Poverty Index (MEPI). The MEPI is calculated using a set of seven key indicators representing multiple dimensions of energy and assigning weights by using the Principal Component Analysis (PCA). Sri Lankan households, on average, are experiencing a moderate level of energy poverty (with MEPI of 0.431) where the lack of access to modern cooking fuel is the largest contributor to energy poverty. Results of this study revealed notable differences in energy poverty by gender, age, ethnicity, and income group of the head of the household and by sub-national location of the household. Significant differences in inequality in energy poverty were also observed by sub-national location and income. While energy-poor households are not necessarily always income-poor, income and other socio-demographic and geographical factors are strongly associated with energy poverty in Sri Lanka. The findings of this study raise alarms for the possible adverse implications on health and education attainment of the energy-poor. Overall, the results provide valuable policy insights into one of the most neglected dimensions of the post-war development policy agenda in Sri Lanka, in particular, and other developing countries, in general.
KW - Energy poverty
KW - Household survey
KW - Inequality
KW - Multidimensional poverty
KW - Principle component analysis
KW - Socio-economic determinants
KW - Sri Lanka
UR - http://www.scopus.com/inward/record.url?scp=85111066199&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2021.105450
DO - 10.1016/j.eneco.2021.105450
M3 - Article
AN - SCOPUS:85111066199
SN - 0140-9883
VL - 101
SP - 1
EP - 12
JO - Energy Economics
JF - Energy Economics
M1 - 105450
ER -