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Retesting the EKC hypothesis through transmission of the ARMEY curve model: an alternative composite model approach with theory and policy implications for NAFTA countries        
Yazarlar
Serdar Ongan
Türkiye
Cem Işık
Anadolu Üniversitesi, Türkiye
Prof. Dr. Ümit BULUT
Kırşehir Ahi Evran Üniversitesi, Türkiye
Kemal Sahir Karakaya
Galatasaray Üniversitesi, Türkiye
Rafael Alvarado
Muhammad Irfan
Munır Ahmad
Abdul Rehman
Imran Hussaın
Özet
We investigate the validity of the environmental Kuznets curve (EKC) hypothesis for the NAFTA countries. In this investigation, we approach this hypothesis from a different methodology and propose employing the ARMEY curve hypothesis since the mathematical-functional propositions of both hypotheses were constructed on the same inverted U-shaped relationships. Thus, for the first time, it can be interpreted that the EKC hypothesis is empirically tested through a transmission mechanism of the ARMEY curve hypothesis in a single composite model. Therefore, this approach makes our study different from all empirical studies in the relevant literature. We apply the Augmented Mean Group (AMG) estimator to this aim. Empirical findings indicate that the ARMEY curve hypothesis was verified only for the USA. However, this new approach proposed in this study cannot test the EKC hypothesis through the ARMEY curve model for any NAFTA country since this approach requires verification of the ARMEY curve hypothesis and a significant composite model for the same NAFTA country. If our composite model was significant, it might make it possible to numerically determine a maximum real GDP per capita level that would minimize or maximize CO2 emission levels for the USA. Therefore, this study introduces-proposes this new methodology as an alternative way of testing the EKC hypothesis in the relevant literature for future empirical studies.
Anahtar Kelimeler
ARMEY curve hypothesis | EKC hypothesis | NAFTA countries | Transmission mechanism
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Environmental Science and Pollution Research
Dergi ISSN 0944-1344
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q2
Makale Dili İngilizce
Basım Tarihi 02-2022
Cilt No 29
Sayfalar 46587 / 46599
Doi Numarası 10.1007/s11356-022-19106-0
Makale Linki http://dx.doi.org/10.1007/s11356-022-19106-0