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The role of government spending within the environmental Kuznets curve framework: evidence from G7 countries.

Authors :
Pirgaip B
Bayrakdar S
Kaya MV
Source :
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Jul; Vol. 30 (34), pp. 81513-81530. Date of Electronic Publication: 2023 Jan 10.
Publication Year :
2023

Abstract

This study assesses the role of government spending on environmental sustainability based on a framework that combines the environmental Kuznets curve (EKC) hypothesis with the Armey curve hypothesis. Specifically, the inverted U-shaped relationships between carbon (CO <subscript>2</subscript> ) emissions and economic growth (EKC hypothesis) and between government spending and economic growth (Armey curve hypothesis) are analyzed using a composite EKC model tested for cross-sectional dependence and heterogeneity, panel unit root, panel co-integration, and the augmented mean group estimation. In so doing, this study pursues a potential transmission mechanism leading from government spending to CO <subscript>2</subscript> emissions through the growth channel and presents a novel way to develop a better understanding of how economic growth policy and energy policy can be synchronized. Empirical results show that economic growth acts as a transmitter between government spending and CO <subscript>2</subscript> emissions in the USA, UK, and Canada. However, the composite EKC hypotehesis is confirmed only for the USA and Canada, where the optimal level of government spending that maximizes CO <subscript>2</subscript> emissions is 29.87% and 29.22% of GDP, respectively. In contrast, the optimal level of government spending equivalent to 28.30% of GDP minimizes CO <subscript>2</subscript> emissions in the UK. The key policy implication is that governments can achieve sustainable economic growth by setting standards for their spending levels.<br /> (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
1614-7499
Volume :
30
Issue :
34
Database :
MEDLINE
Journal :
Environmental science and pollution research international
Publication Type :
Academic Journal
Accession number :
36626056
Full Text :
https://doi.org/10.1007/s11356-023-25180-9