Investigating the energy‑environmental Kuznets curve under panel quantile regression: a global perspective

Article


ul Husnain, Muhammad Iftikhar, Beyene, Sisay Demissew and Aruga, Kentaka. 2023. "Investigating the energy‑environmental Kuznets curve under panel quantile regression: a global perspective." Environmental Science and Pollution Research. 30 (8), pp. 20527-20546. https://doi.org/10.1007/s11356-022-23542-3
Article Title

Investigating the energy‑environmental Kuznets curve under panel quantile regression: a global perspective

ERA Journal ID5827
Article CategoryArticle
Authorsul Husnain, Muhammad Iftikhar, Beyene, Sisay Demissew and Aruga, Kentaka
Journal TitleEnvironmental Science and Pollution Research
Journal Citation30 (8), pp. 20527-20546
Number of Pages20
Year01 Feb 2023
PublisherSpringer
Place of PublicationGermany
ISSN0944-1344
1614-7499
Digital Object Identifier (DOI)https://doi.org/10.1007/s11356-022-23542-3
Web Address (URL)https://link.springer.com/article/10.1007/s11356-022-23542-3
Abstract

Energy is regarded as an engine of economic growth and an important ingredient of human survival and development, but it can lead to deterioration of environmental quality. The study investigates the energy environmental Kuznets curve (EEKC) during the 1990–2017 period for 144 countries using models for total energy, renewable energy, and non-renewable energy consumptions. We employ panel mean and quantile regressions, accounting for individual and distributional heterogeneities. It is found that the EEKC sustains among the higher middle-income countries while it cannot be verified at some lower-income quantiles due to the heterogeneous nature of the different groups of countries. The relationship between economic growth, total energy, and non-renewable energy consumption is positive and non-linear. The quantile estimations revealed mixed (positive and non-linear, inverted U-shape, U-shape, and N-shape) EEKC. The maximum and minimum turning values of GDP per capita for total energy consumption (is 43,201.58 and 89,630.49), for renewable energy consumption (53,535.07 and 89,869.41), and for non-renewable energy consumption (42,188.16 and 89,487.71). Urbanization and population growth had positive impacts on energy consumption while these effects become more significant as moving from low to high-income quantiles. The study implies that while the developed nations can adopt energy-efficient policies without compromising on the growth momentum and environment, this might be not recommended for the developing nations and it would be preferable for these countries to “grow first and clean up later.” The study indicates the importance of the developed nations to support the developing countries to achieve economic growth along the EEKC by transferring energy-efficient technologies.

KeywordsEnergy; Environment; Quantile regression; Urbanization; Population growth; Environmental Kuznets curve
ANZSRC Field of Research 20204105. Pollution and contamination
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Byline AffiliationsLibrary Services
COMSATS University Islamabad, Pakistan
Arsi University, Ethiopia
Saitama University, Japan
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