Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/58644
Title: Stochastic Convergence Behaviour in Carbon Dioxide Emissions: Fourier Panel Unit Root Approach
Authors: Anavatan, Aygul
Ispir, M. Serdar
Keywords: Carbon Dioxide Emissions
Fourier-Based Panel Unit Root Tests
Stochastic Convergence
Environmental Kuznets Curve Hypothesis
Q53
Q56
C23
Publisher: Routledge Journals, Taylor & Francis Ltd
Abstract: This study examines the convergence of per capita carbon dioxide emissions using two Fourier-based panel unit root tests allowing for smooth transitions. Additional panel unit root tests without structural breaks and with sharp shifts were conducted for comparison. The analysis spans 68 countries from 1965 to 2019. Results reveal non-stationarity in emissions for low- and middle-income countries, while emissions in high-income countries were stationary under constant and trend components. Evidence indicates limited convergence, with constrained forms observed only in high-income nations. These findings align partially with the Environmental Kuznets Curve hypothesis. This study offers nuanced insights into global carbon dioxide emission dynamics and enriches the empirical discourse on environmental sustainability.
URI: https://doi.org/10.1080/00036846.2025.2450385
https://hdl.handle.net/11499/58644
ISSN: 0003-6846
1466-4283
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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