Testing the EKC hypothesis for ecological and carbon intensity of well-being: The role of forest extent
Jazyk angličtina Země Nizozemsko Médium print-electronic
Typ dokumentu časopisecké články
PubMed
38866155
DOI
10.1016/j.scitotenv.2024.173794
PII: S0048-9697(24)03941-X
Knihovny.cz E-zdroje
- Klíčová slova
- Carbon intensity of well-being, EKC hypothesis, Ecological intensity of well-being, Forest extent, Method of moments quantile regression,
- MeSH
- klimatické změny * MeSH
- lesnictví MeSH
- lesy * MeSH
- lidé MeSH
- uhlík analýza MeSH
- zachování přírodních zdrojů * metody MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- uhlík MeSH
The G-20 countries represent a considerable percentage of the global economy and are crucial in matters to do with support for environmental sustainability. The uniqueness of this study lies in determining the effects of forests on human well-being and environmental degradation with respect to G20, offering a unique perspective regarding the efforts to battle climate change. The study analyzed the impact of income, forest extent and education on ecological and carbon intensity of well-being following the Environmental Kuznets Curve (EKC) hypothesis. Based on annual data from 1990 to 2022 and employing the Method of Moments Quantile Regression, the results validate the presence of an inverted U-shaped relationship between GDP and environmental well-being which refers to the existence of EKC. Our results connect improved ecological and carbon intensity of well-being with expanding forest extent and improving education levels. Forest management combined with educational management work as an effective mechanism reducing environmental degradation while also positively contributing to human well-being. In addition, through these informed and rational decisions, policy makers can promote the environmental stability of forests.
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