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Recent scenario and nexus of globalization to CO2 emissions: Evidence from wavelet and Quantile on Quantile Regression approach.
Huo, Chunhui; Hameed, Javaria; Sharif, Arshian; Albasher, Gadah; Alamri, Ohoud; Alsultan, Nouf; Baig, Noor Ul-Ain.
Afiliação
  • Huo C; Asia-Australia Business College, Liaoning University, Shenyang, China.
  • Hameed J; Asia-Australia Business College, Liaoning University, Shenyang, China. Electronic address: Javariahameed@outlook.com.
  • Sharif A; Department of Economic and Finance Sunway University Business School Sunway University Malaysia; Department of Management Sciences, The Superior University, Lahore, Pakistan.
  • Albasher G; Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
  • Alamri O; Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
  • Alsultan N; Faculty of Medicine and Health Sciences, Medical School, University of Nottingham, England, United Kingdom.
  • Baig NU; School of Management Sciences, Quaid i Azam University, Islamabad, Pakistan.
Environ Res ; 212(Pt A): 113067, 2022 09.
Article em En | MEDLINE | ID: mdl-35288157
ABSTRACT
The ubiquitous increase in globalization and high carbon emissions, aiming to achieve non-zero emissions in the future, is a feasible challenge for a sustainable environment. Our study aims to investigate the impact of economic globalization on carbon emissions of the developed country covering the period of 1970-2019. The Wavelet Coherence (WC) and Quantile on Quantile Regression (QQR) approach have been used to analyse co-movements and feedback linkages of CO2 emissions with globalization, economic growth, and consumption of coal at different quantiles. The results obtained from WC show that there exist significant positive co-movements in the in-phase and leading globalization, economic growth, coal consumption with CO2 emissions. Further, the results of QQR indicate the existence of a positive and significant linkage between coal consumption and CO2 emissions for the majority of quantiles, the positive. Still, there is an insignificant association between CO2 with globalization and economic growth at most quantiles. Lastly, the quantile regression (QR) comparison with QQR suggests that our model is a good fit as the intercept estimates are similar and the slope coefficients follow a similar trend. To conclude, CO2 emissions have positive associations and co-movements with globalization, economic growth, and coal consumption, but their statistical significance varies and directly affects the Country.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dióxido de Carbono / Desenvolvimento Econômico Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dióxido de Carbono / Desenvolvimento Econômico Idioma: En Ano de publicação: 2022 Tipo de documento: Article