Global Journal of Human-Social Science, B: Geography, Environmental Science and Disaster Management, Volume 22 Issue 3

© 2022. Ahmed Derbel. This research/review article is distributed under the terms of the Attribution-NonCommercial- NoDerivatives 4.0 International (CC BY-NC-ND 4.0). You must give appropriate credit to authors and reference this article if parts of the article are reproduced in any manner. Applicable licensing terms are at https://creativecommons.org/licenses/by-nc-nd/ 4.0/. Analysis of Carbon Dioxide Emission from Transportation Sector using Panel Data Method By Ahmed Derbel Sfax University Abstract- CO2 emissions and climate change have become a topic of global importance for the international community, which should have led to immediate action to remedy this dangerous situation. The main objective of this work is to identify the causes and factors that can contribute to the reduction of CO2 emissions in the transportation sector. The estimation method based on Panel data for 25 countries around the world has shown that the density of the urban population and the heavy use of private vehicles in many metropolitans are the main causes of CO2 emissions. We have demonstrated that the development of renewable energies, the development of collective transport systems and sustainable forest management practices are concrete and practical solutions to fight against CO2 emissions in megalopolises. Keywords: co2 emissions, panel data, atmospheric pollution, data science. GJHSS-B Classification: DDC Code: 363.73874 LCC Code: QC879.8 AnalysisofCarbonDioxideEmissionfromTransportationSectorusingPanelDataMethod Global Journal of HUMAN-SOCIAL SCIENCE: B Geography, Geo-Sciences, Environmental Science & Disaster Management Volume 22 Issue 3 Version 1.0 Year 2022 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Online ISSN: 2249-460x & Print ISSN: 0975-587X Strictly as per the compliance and regulations of: