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Carbon Footprint Analysis of the Freight Transport Sector Using a Multi-Region Input–Output Model (MRIO) from 2000 to 2014: Evidence from Industrial Countries

Author

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  • Kadhim Abbood

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Ferenc Meszaros

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

Freight transportation performs a critical role in the supply networks of the global economy and is heavily influenced by the activities of the industrial and manufacturing sectors, contributing significantly to their global carbon footprint (CFP). This research evaluates the lifecycle-based CFP emissions of freight transport activities in seven selected countries (China, Japan, the United States, Canada, Brazil, Great Britain, and Germany) over fifteen years, considering international trade linkages with the rest of the world. In the literature, most researchers have investigated the CFP of the transportation sector in general or analyzed the CFP of two or three countries, such as the USA and China. However, this research is novel in that it examines the CFP of the freight transport sectors of the seven biggest industrial countries. In addition, a positive relationship was found between the CFP and the gross domestic product (GDP), population, level of urbanization, and area of these countries. Therefore, this study investigates the relationship between global CFP, GDP, population, level of urbanization, and country area. A total of 15 stochastic model-based multi-regional input–output lifecycle assessments were built for each country, comprising 35 key industries. Statistical modeling tools were used to assess carbon emissions. The results show that China is the largest contributor to the freight-related CFP, while the U.S. is the second largest. The manufacture of coke and refined petroleum products represents the dominant sector. In contrast, warehousing and support activities have the most significant contributions in Germany and Great Britain. Land transport and transport via pipelines contribute the most to Canada’s CFP. The results of the regression analysis show that there is a positive relationship between the investigated variables.

Suggested Citation

  • Kadhim Abbood & Ferenc Meszaros, 2023. "Carbon Footprint Analysis of the Freight Transport Sector Using a Multi-Region Input–Output Model (MRIO) from 2000 to 2014: Evidence from Industrial Countries," Sustainability, MDPI, vol. 15(10), pages 1-27, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7787-:d:1143077
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    References listed on IDEAS

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    1. Yu, Yang & Li, Shuangqi & Sun, Huaping & Taghizadeh-Hesary, Farhad, 2021. "Energy carbon emission reduction of China’s transportation sector: An input–output approach," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 378-393.
    2. Gao, Tong & Fang, Delin & Chen, Bin, 2020. "Multi-regional input-output and linkage analysis for water-PM2.5 nexus," Applied Energy, Elsevier, vol. 268(C).
    3. Thomas Wiedmann & Richard Wood & Jan Minx & Manfred Lenzen & Dabo Guan & Rocky Harris, 2010. "A Carbon Footprint Time Series Of The Uk - Results From A Multi-Region Input-Output Model," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 19-42.
    4. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    5. Shuai Zhang & Dajian Zhu & Lilian Li, 2023. "Urbanization, Human Inequality, and Material Consumption," IJERPH, MDPI, vol. 20(5), pages 1-18, March.
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