Testing the long-run impact of economic growth, energy consumption, and globalization on ecological footprint: new evidence from Fourier bootstrap ARDL and Fourier bootstrap Toda-Yamamoto test results

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dc.authoridMike, Faruk/0000-0002-9194-1679
dc.authoridAlper, Ali Eren/0000-0003-0008-1202
dc.contributor.authorAlper, Ali Eren
dc.contributor.authorAlper, Findik Ozlem
dc.contributor.authorOzayturk, Gurcem
dc.contributor.authorMike, Faruk
dc.date.accessioned2024-11-07T13:31:53Z
dc.date.available2024-11-07T13:31:53Z
dc.date.issued2023
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe aim of this study is to investigate the impacts of economic growth, energy consumption, and the economic globalization process on ecological footprints in the top 10 countries that cause the highest carbon dioxide emissions in the world. The analyses were conducted on annual observations from 1970 to 2017 (a different range for each country) employing the Fourier bootstrap ARDL cointegration method developed by Yilanci et al. (2020) and the Fourier bootstrap Toda-Yamamoto causality method developed by Nazlioglu et al. (2016). In the cointegration approach, an additional F-test provides better insights to define degenerate cases and the bootstrap test performance is powerful than the asymptotic test. In this context, Fourier bootstrap ARDL test results revealed that there is a long-term relationship between ecological footprint and economic growth, energy consumption, and economic globalization in seven countries-namely, Canada, China, Germany, India, Indonesia, Iran, and Saudi Arabia. According to long-run coefficients, in general, economic growth and energy consumption have negative effects on ecological footprint, whereas economic globalization has a positive effect on the ecological footprint for these countries. To evaluate it more specifically, (i) real gross domestic product per capita has positive and statistically significant coefficients on the ecological footprint in China, India, Indonesia, Iran, and Saudi Arabia, except for Germany. (ii) Energy consumption per capita also has positive and statistically significant coefficients on the ecological footprint in China, Germany, Iran, and Saudi Arabia, except for Indonesia. (iii) Finally, the economic globalization process has negative and statistically significant coefficients on the ecological footprint in Canada, China, India, and Saudi Arabia, except for Indonesia. On the other hand, Fourier bootstrap Toda-Yamamoto causality test results show a mixed character. Governments should take action to reduce the negative effects of the climate crisis as immediate as possible, which has been widely expressed recently. Among these, increasing the use of renewable energy sources and new carbon-free technologies in the production process appears as important policy tools.
dc.identifier.doi10.1007/s11356-022-18610-7
dc.identifier.endpage42888
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue15
dc.identifier.pmid35022981
dc.identifier.scopus2-s2.0-85122752545
dc.identifier.scopusqualityQ1
dc.identifier.startpage42873
dc.identifier.urihttps://doi.org/10.1007/s11356-022-18610-7
dc.identifier.urihttps://hdl.handle.net/11480/15097
dc.identifier.volume30
dc.identifier.wosWOS:000741964200008
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectEcological footprint
dc.subjectEconomic growth
dc.subjectEnergy consumption
dc.subjectEconomic globalization
dc.subjectBootstrap ARDL approach with Fourier function
dc.titleTesting the long-run impact of economic growth, energy consumption, and globalization on ecological footprint: new evidence from Fourier bootstrap ARDL and Fourier bootstrap Toda-Yamamoto test results
dc.typeArticle

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