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The electricity industry in Spain: A structural analysis using a disaggregated input-output model

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  • Duarte, Rosa
  • Langarita, Raquel
  • Sánchez-Chóliz, Julio

Abstract

This paper describes the construction and analysis of a disaggregated input-output model and its extension to a social accounting matrix (SAM) for the Spanish economy in 2013. Our focus is the specific disaggregation of the electricity industry into the generating, transmission, distribution and marketing businesses, which were decoupled in 1997 under legislation prohibiting any single company from conducting more than one of them. The multi-sectoral framework also allows disaggregation of electricity generating by production technologies (wind, nuclear, conventional thermal, hydropower, solar and other technologies). To the best of our knowledge, this is the first paper in which this information is presented in a multi-sectoral framework for the Spanish economy, which is enormously dependent on the electricity industry. The structural analysis reveals the industry's role in Spain and the importance of its activities. None of the electricity generating businesses is a Rasmussen key sector, and generating and distribution are both capital-intensive activities. Meanwhile, conventional thermal and hydropower generating together make up more than 50% of total output in value terms, while nuclear power accounts for only around 7%. Finally, imports and exports of electricity are small, and almost all demand is covered by domestic production.

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  • Duarte, Rosa & Langarita, Raquel & Sánchez-Chóliz, Julio, 2017. "The electricity industry in Spain: A structural analysis using a disaggregated input-output model," Energy, Elsevier, vol. 141(C), pages 2640-2651.
    • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:2640-2651
    DOI: 10.1016/j.energy.2017.08.088
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    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Ozkan, Burhan & Akcaoz, Handan & Fert, Cemal, 2004. "Energy input–output analysis in Turkish agriculture," Renewable Energy, Elsevier, vol. 29(1), pages 39-51.
    3. Parikh, Jyoti & Panda, Manoj & Ganesh-Kumar, A. & Singh, Vinay, 2009. "CO2 emissions structure of Indian economy," Energy, Elsevier, vol. 34(8), pages 1024-1031.
    4. Cui, Lian-Biao & Peng, Pan & Zhu, Lei, 2015. "Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis," Energy, Elsevier, vol. 82(C), pages 457-467.
    5. Fujimori, Shinichiro & Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru, 2016. "Global energy model hindcasting," Energy, Elsevier, vol. 114(C), pages 293-301.
    6. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    7. Hartono, Djoni & Resosudarmo, Budy P., 2008. "The economy-wide impact of controlling energy consumption in Indonesia: An analysis using a Social Accounting Matrix framework," Energy Policy, Elsevier, vol. 36(4), pages 1404-1419, April.
    8. Kuhtz, Silvana & Zhou, Chaoying & Albino, Vito & Yazan, Devrim M., 2010. "Energy use in two Italian and Chinese tile manufacturers: A comparison using an enterprise input–output model," Energy, Elsevier, vol. 35(1), pages 364-374.
    9. Margarita Barrera-Lozano & Alfredo J. Mainar & Jos� Vall�s, 2015. "Disaggregation of sectors in social accounting matrices using a customized Wolsky method," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1020-1024, September.
    10. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    11. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    12. Theo Junius & Jan Oosterhaven, 2003. "The Solution of Updating or Regionalizing a Matrix with both Positive and Negative Entries," Economic Systems Research, Taylor & Francis Journals, vol. 15(1), pages 87-96, March.
    13. Haiyan Zhang & Michael L. Lahr & Jun Bi, 2016. "Challenges of green consumption in China: a household energy use perspective," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 183-201, June.
    14. 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.
    15. Pahlavan, Reza & Omid, Mahmoud & Akram, Asadollah, 2012. "Energy input–output analysis and application of artificial neural networks for predicting greenhouse basil production," Energy, Elsevier, vol. 37(1), pages 171-176.
    16. Ming Zhang & Yan Song, 2015. "Exploring influence factors governing the changes in China’s final energy consumption under a new framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 653-668, August.
    17. Alcantara, Vicent & Padilla, Emilio, 2003. ""Key" sectors in final energy consumption: an input-output application to the Spanish case," Energy Policy, Elsevier, vol. 31(15), pages 1673-1678, December.
    18. Carvalho, Ariovaldo Lopes de & Antunes, Carlos Henggeler & Freire, Fausto & Henriques, Carla Oliveira, 2015. "A hybrid input–output multi-objective model to assess economic–energy–environment trade-offs in Brazil," Energy, Elsevier, vol. 82(C), pages 769-785.
    19. Manfred Lenzen & Richard Wood & Blanca Gallego, 2007. "Some Comments on the GRAS Method," Economic Systems Research, Taylor & Francis Journals, vol. 19(4), pages 461-465.
    20. Langarita, Raquel & Sánchez Chóliz, Julio & Sarasa, Cristina & Duarte, Rosa & Jiménez, Sofía, 2017. "Electricity costs in irrigated agriculture: A case study for an irrigation scheme in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1008-1019.
    21. Logar, Ivana & van den Bergh, Jeroen C.J.M., 2013. "The impact of peak oil on tourism in Spain: An input–output analysis of price, demand and economy-wide effects," Energy, Elsevier, vol. 54(C), pages 155-166.
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    3. 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.
    4. 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.
    5. C. Oliveira Henriques & S. Sousa, 2023. "A Review on Economic Input-Output Analysis in the Environmental Assessment of Electricity Generation," Energies, MDPI, vol. 16(6), pages 1-26, March.
    6. Miguel Angel Martin-Valmayor & Luis Alberiko Gil-Alaña, 2024. "Hourly Energy Prices in Spain - Evidence of Persistence Across Different Months," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 4(3), pages 1-6.

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