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Greenhouse Gas Emissions from Intra-National Freight Transport: Measurement and Scenarios for Greater Sustainability in Spain

Author

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  • Carlos Llano

    (Departamento de Análisis Económico, Teoría Económica e Historia Económica, Facultad de Ciencias Económicas y Empresariales, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049 Madrid, Spain
    L. R. Klein Institute, Facultad de Ciencias Económicas y Empresariales, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049 Madrid, Spain)

  • Santiago Pérez-Balsalobre

    (Departamento de Economía Aplicada, Facultad de Ciencias Económicas y Empresariales, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049 Madrid, Spain
    L. R. Klein Institute, Facultad de Ciencias Económicas y Empresariales, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049 Madrid, Spain)

  • Julian Pérez-García

    (Departamento de Economía Aplicada, Facultad de Ciencias Económicas y Empresariales, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049 Madrid, Spain
    L. R. Klein Institute, Facultad de Ciencias Económicas y Empresariales, Universidad Autónoma de Madrid, Campus Cantoblanco, 28049 Madrid, Spain)

Abstract

Greenhouse Gas (GHG) emissions is a topic of major concern worldwide. Following previous articles which provide a methodology for estimating GHG emissions associated with international trade by transport mode at the world level, in this paper, we estimate an equivalent database of GHG emissions for inter-regional trade flows within a country (Spain). To this end, we built a new database of GHG emissions for origin–destination flows between Spanish provinces during 1995–2015. For each year, we combine industry-specific flows by four transport modes (road, train, ship and aircraft) with the corresponding GHG emissions factor for each mode in tons*km, drawn from the specialized literature. With this dataset of GHG emissions, we generate and analyze the temporal, sectoral and spatial pattern of Spanish inter-regional GHG flows. We then forecast emissions for 2016–2030 and consider how transport mode shifts might produce a more sustainable freight system within the country through the substitution of environmentally friendly alternatives (railway) for specific origin–destination–product flows in high-polluting modes (road).

Suggested Citation

  • Carlos Llano & Santiago Pérez-Balsalobre & Julian Pérez-García, 2018. "Greenhouse Gas Emissions from Intra-National Freight Transport: Measurement and Scenarios for Greater Sustainability in Spain," Sustainability, MDPI, vol. 10(7), pages 1-33, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2467-:d:157942
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    References listed on IDEAS

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    2. Izabela Kotowska & Marta Mańkowska & Michał Pluciński, 2018. "Inland Shipping to Serve the Hinterland: The Challenge for Seaport Authorities," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    3. Melinda Timea Fülöp & Miklós Gubán & György Kovács & Mihály Avornicului, 2021. "Economic Development Based on a Mathematical Model: An Optimal Solution Method for the Fuel Supply of International Road Transport Activity," Energies, MDPI, vol. 14(10), pages 1-22, May.
    4. Vit Malinovsky, 2022. "Neural Networks as an Alternative Tool for Predicting Fossil Fuel Dependency and GHG Production in Transport," Sustainability, MDPI, vol. 14(18), pages 1-12, September.

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