Investigating the impact of transportation system and economic growth on carbon emissions: Application of GMM System for 33 european countries.

Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

Publication: <2013->: Berlin : Springer
Original Publication: Landsberg, Germany : Ecomed

Transportation* ; Economics* ; Greenhouse Gases*; Europe ; Carbon Dioxide ; Urbanization ; Vehicle Emissions

In Europe, there has been a significant shift in the movement of people and things. Nonetheless, despite the fact that transportation is an important component of the supply chain, its environmental consequences pose a severe threat to the ecosystem as a whole. As a result, we intend to explore the relationship between transportation, economy, and CO2 emissions. We used the Static method with Pooled OLS, then tested the Granger causality to validate the use of dynamic approach via the GMM system. The major findings revealed that GDP and trade openness had a considerable impact on CO2 emissions. Although the three modes of transportation have different effects on CO2 emissions, road density has a positive and considerable impact on CO2 emissions. The railway network is inversely connected to CO2 emissions. While the quantity of flight passengers has no substantial effect on emissions. In terms of the impulse response function, there is an initial shock in period 2 for the response of air passengers carried to CO2 emissions, followed by convergence back to zero in period 6, whereas road density has a slight decrease in period 2 with a post shock peak in period 4, followed by convergence back to zero in period 5. The variance decomposition results reveal a little increase until the fifth period for road density, air passengers, and trade openness with coefficients equal to 0.0893, 0.636, and 1.573, respectively, after which these three variables offer decreasing coefficients.
(© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

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Keywords: CO2 emissions; Causality test; GMM System; Impulse response function; Transportation system; Variance decomposition

142M471B3J (Carbon Dioxide)
0 (Greenhouse Gases)
0 (Vehicle Emissions)

Date Created: 20230718 Date Completed: 20231016 Latest Revision: 20231016

20240829

10.1007/s11356-023-28595-6

37462875