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Emisiones de GEI por sectores económicos: ¿Qué sectores están adaptando mejor su intensidad energética?

Author

Listed:
  • Andrés Lorente-de-las-Casas

    (Universidad de La Laguna, CEDESOG e Instituto Universitario de la Empresa)

  • Gustavo A. Marrero-Díaz

    (Universidad de La Laguna y CEDESOG)

  • Jesús Rodríguez-López

    (Universidad Pablo de Olavide e Ivie)

Abstract

To meet the target of reducing greenhouse gas (GHG) emissions by 55% by 2030, net emissions in Spain would still need to decrease by an additional 43%. This paper analyzes the evolution of net emissions flow between 1990 and 2023 and the factors that have influenced it: energy intensity, carbon intensity, and economic activity. Eventually, we conclude the following. First, since 2005 there has been a continuous reduction in emissions, as a consequence of (i) the moderation in energy intensity, (ii) the economic slowdown between 2008 and 2014, and (iii) the composition effect, whereby the gross value added (GVA) of the services sector has increased to over 70% of the total, while its emissions account only 3% for total emissions. Second, the transport sector presents a significant obstacle to achieving these objectives: although its energy intensity has decreased, its carbon intensity has remained flat over the three decades analyzed, indicating a lack of alternative energy sources. Energy and environmental policies, as well as fiscal measures aimed at reducing these emissions, should address this issue.

Suggested Citation

  • Andrés Lorente-de-las-Casas & Gustavo A. Marrero-Díaz & Jesús Rodríguez-López, 2026. "Emisiones de GEI por sectores económicos: ¿Qué sectores están adaptando mejor su intensidad energética?," Working Papers 26.02, Universidad Pablo de Olavide, Department of Economics.
    • Handle: RePEc:pab:wpaper:26.02
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    References listed on IDEAS

    as
    1. J. Barrera-Santana & Gustavo A. Marrero & Luis A. Puch & Antonia Díaz, 2021. "CO2 emissions and energy technologies in Western Europe," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 105-150, June.
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    Keywords

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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