Moderation of Services' EKC through Transportation Competitiveness: PQR Model in Global Prospective.

Autor: Sardar MS; Department of Economics and Statistics, University of Management and Technology, Lahore 54770, Pakistan., Asghar N; Department of Economics, Division of Management and Administrative Science, University of Education Lahore, Lahore 54770, Pakistan., Munir M; Department of Economics and Statistics, University of Management and Technology, Lahore 54770, Pakistan., Alhajj R; School of Engineering and Natural Sciences, Istanbul Medipol University, Istanbul 34810, Turkey.; Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada.; Department of Health Informatics, University of Southern Denmark, 5230 Odense, Denmark., Rehman HU; Department of Economics and Statistics, University of Management and Technology, Lahore 54770, Pakistan.
Jazyk: angličtina
Zdroj: International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Dec 24; Vol. 20 (1). Date of Electronic Publication: 2022 Dec 24.
DOI: 10.3390/ijerph20010293
Abstrakt: The continuously increasing GHG emissions have created environmental pollution and several challenges to ecosystems and biodiversity. The challenges of climate change are multipronged, resulting in melting glaciers, flash floods, and severe heat waves. In this regard, the adaptive and mitigation strategies to manage the consequences of climate change are highly important. The transport sector creates a quarter of carbon emissions, and this share is continuously increasing. Accordingly, this research study uses transport competitiveness to determine carbon emissions of the transport sector for 121 countries covering the time period from 2008 to 2018. The Panel Quantile Regression (PQR) technique is engaged to analyze the study results. The findings highlight that transport competitiveness tends to increase carbon emissions of the transport sector across quantile groups 1 and 3, while it reduces carbon emissions in quantile group 2. The U-shaped services' EKC is validated in quantile groups 2 and 4. The moderation engaged, i.e., transportation competitiveness, changes the turning point of the services' EKC across quantile groups 2 and 4. However, in the high-CO 2 quantile group, the moderation impact of transport competitiveness is strongest as it reduces the sensitivity by flattening the services' EKC. Furthermore, the planned expansion of the population and improved institutional quality tend to mitigate carbon emissions across different quantile groups. The policy relevance/implications that are based on the study results/findings are made part of the research paper.
Competing Interests: The authors declare no conflict of interest.
Databáze: MEDLINE
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