IDEAS home Printed from https://ideas.repec.org/a/eaa/eerese/v17y2017i2_7.html
   My bibliography  Save this article

Hacia una economía baja en carbono: objetivos para 2030 en energías renovables

Author

Listed:
  • Ángeles CÁMARA
  • María Isabel MARTÍNEZ

Abstract

La transición hacia un modelo energético con bajas emisiones de carbono requiere de una serie de inversiones durante los próximos años que se cuantifican en este trabajo, estimándose el impacto tanto económico como social y ambiental que tendrían dichas inversiones con el horizonte temporal del año 2030. Además, se hace un estudio detallado del valor económico del sector actual de las energías renovables en España. La metodología utilizada en el trabajo es el análisis input-output, desagregando en la tabla input-output las diferentes tecnologías de producción eléctrica y ampliando dicho modelo con datos de empleo y de emisiones de CO2. The transition to a low carbon energy model requires a series of investments during the next years, quantified in this paper, estimating the economic, social and environmental impact that would have such investments at the time horizon 2030 and detailing also the economic value of the renewable in Spain. The work uses the input-output methodology, disaggregating in the input-output table the electricity generation technologies and being extended the model with employment and CO2 emissions data.

Suggested Citation

  • Ángeles CÁMARA & María Isabel MARTÍNEZ, 2017. "Hacia una economía baja en carbono: objetivos para 2030 en energías renovables," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 17(2), pages 103-120.
  • Handle: RePEc:eaa:eerese:v:17:y2017:i:2_7
    as

    Download full text from publisher

    File URL: http://www.usc.es/~economet/reviews/eers1727.pdf
    Download Restriction: no.
    ---><---

    More about this item

    Keywords

    emisiones de CO2; energías renovables; modelo input-output.;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eaa:eerese:v:17:y2017:i:2_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.