Wavelet and Fourier augmented convergence analysis of methane emissions in more than two centuries: implications for environmental management in OECD countries
Environmental Science and Pollution Research, vol.29, no.36, pp.54518-54530, 2022 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 29 Issue: 36
- Publication Date: 2022
- Doi Number: 10.1007/s11356-022-19222-x
- Journal Name: Environmental Science and Pollution Research
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
- Page Numbers: pp.54518-54530
- Keywords: Environmental management, Fourier, Methane emissions, Stochastic convergence, Wavelet
- Hatay Mustafa Kemal University Affiliated: Yes
Abstract
Addressing the challenges posed by pollutants is necessary to achieve Sustainable Development Goal 13, which involves climate change mitigation and enhancement of environmental quality. The convergence analysis of a pollutant provides information that can be useful to how to handle that pollutant across countries or regions, and previous studies mainly focused on carbon emission. However, the second most significant greenhouse gas, methane emission, was mostly ignored. The primary objective of this research is to investigate whether stochastic convergence of methane emissions is valid in 37 OECD (Organisation for Economic Co-operation and Development) countries using a dataset of more than two centuries. The results obtained by using a set of traditional unit root tests and a newly proposed wavelet unit root test with a Fourier function provide overwhelming evidence for these countries’ divergence of methane emissions. The policy implications resulting from the empirical findings for environmental management are discussed in the relevant sections of the paper.