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Economic impacts of solar thermal electricity technology deployment on Andalusian productive activities: a CGE approach

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  • J. Cansino
  • M. Cardenete
  • J. Gonzalez
  • M. P. Pablo-Romero

Abstract

Solar thermal electricity is a type of renewable energy technology of special interest for Andalusia (southern Spain) because of the large number of annual sunshine hours. This paper estimates the impact on productive activities of increasing the production capacity of the installed solar thermal plants in Andalusia. Using a computable general equilibrium (CGE) approach, estimates of the changes in the economic sectors’ activity under two different scenarios are obtained: i) based on two types of solar thermal electricity plants currently in operation and ii) based on an increase from 11 MW in 2007 to 800 MW installed capacity by 2013 to comply with the ‘Plan Andaluz de Sostenibilidad Energética (PASENER)—Sustainable Energy Plan for Andalusia’. For the case of a parabolic trough solar collector power plant, results show that compliance with the PASENER goal would increase the level of the productive activities by around 30%. For the alternative technology—a solar tower power plant—results show that activities would increase by around 5% for 30 years, the estimated lifetime of this type of plant. Thus, the impact of the solar thermal electricity plants on the productive activities of the PASENER compliant production goal would be remarkable. Copyright Springer-Verlag 2013

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  • J. Cansino & M. Cardenete & J. Gonzalez & M. P. Pablo-Romero, 2013. "Economic impacts of solar thermal electricity technology deployment on Andalusian productive activities: a CGE approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 25-47, February.
    • Handle: RePEc:spr:anresc:v:50:y:2013:i:1:p:25-47
    DOI: 10.1007/s00168-011-0471-3
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    Cited by:

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    2. Langarita, Raquel & Duarte, Rosa & Hewings, Geoffrey & Sánchez-Chóliz, Julio, 2019. "Testing European goals for the Spanish electricity system using a disaggregated CGE model," Energy, Elsevier, vol. 179(C), pages 1288-1301.
    3. Colinet, María J. & Cansino, José M. & González-Limón, José M. & Ordóñez, Manuel, 2014. "Toward a less natural gas dependent energy mix in Spain: Crowding-out effects of shifting to biomass power generation," Utilities Policy, Elsevier, vol. 31(C), pages 29-35.
    4. Jenniches, Simon, 2018. "Assessing the regional economic impacts of renewable energy sources – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 35-51.
    5. Cansino, José M. & Sánchez-Braza, Antonio & Rodríguez-Arévalo, María L., 2015. "Driving forces of Spain׳s CO2 emissions: A LMDI decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 749-759.
    6. Peng Ou & Ruting Huang & Xin Yao, 2016. "Economic Impacts of Power Shortage," Sustainability, MDPI, vol. 8(7), pages 1-21, July.
    7. Ramos, Carmen & García, Ana Salomé & Moreno, Blanca & Díaz, Guzmán, 2019. "Small-scale renewable power technologies are an alternative to reach a sustainable economic growth: Evidence from Spain," Energy, Elsevier, vol. 167(C), pages 13-25.
    8. Jia Liu & Jizu Li & Xilong Yao, 2019. "The Economic Effects of the Development of the Renewable Energy Industry in China," Energies, MDPI, vol. 12(9), pages 1-18, May.
    9. Cansino, J.M. & Cardenete, M.A. & González-Limón, J.M. & Román, R., 2014. "The economic influence of photovoltaic technology on electricity generation: A CGE (computable general equilibrium) approach for the Andalusian case," Energy, Elsevier, vol. 73(C), pages 70-79.

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    More about this item

    Keywords

    Q28; C63; Q43;
    All these keywords.

    JEL classification:

    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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