IDEAS home Printed from https://ideas.repec.org/a/ove/journl/aid10757.html

Forecasting energy demand through a dynamic input-output model

Author

Listed:
  • Oscar Dejuan

Abstract

This paper builds a dynamic input-output model able to forecast energy demand in Spain in different economic and legislative scenarios. Its main features are: (1) As an input-output model embedded in a social accounting matrix it takes into account the structure of the economy and the relations between sectors (industries) and institutions (households). (2) As an applied general equilibrium model it relates the system of prices and quantities. (3) As a dynamic model it considers the evolution of coefficients and energy multipliers.

Suggested Citation

  • Oscar Dejuan, 2015. "Forecasting energy demand through a dynamic input-output model," Economics and Business Letters, Oviedo University Press, vol. 4(3), pages 108-115.
  • Handle: RePEc:ove:journl:aid:10757
    as

    Download full text from publisher

    File URL: https://reunido.uniovi.es/index.php/EBL/article/view/10757
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. �scar Deju�n & Luis Antonio L�pez & Mar�a �ngeles Tobarra & Jorge Zafrilla, 2013. "A Post-Keynesian Age Model To Forecast Energy Demand In Spain," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 321-340, September.
    2. repec:aen:journl:2006v27-02-a06 is not listed on IDEAS
    3. Victor Ginsburgh & Michiel Keyzer, 2002. "The Structure of Applied General Equilibrium Models," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262571579, December.
    4. Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, vol. 29(4), pages 693-709, July.
    5. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van Wesenbeeck, C.F.A. & Keyzer, M.A. & van Veen, W.C.M. & Qiu, H., 2021. "Can China's overuse of fertilizer be reduced without threatening food security and farm incomes?," Agricultural Systems, Elsevier, vol. 190(C).
    2. M. Alejandro Cardenete & M. Carmen Lima & Ferran Sancho, 2013. "Are There Key Sectors? An Appraisal Using Applied General Equilibrium," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 111-129, Winter.
    3. Haider A. Khan, 2007. "Social Accounting Matrix: A Very Short Introduction for Economic Modeling," CIRJE F-Series CIRJE-F-477, CIRJE, Faculty of Economics, University of Tokyo.
    4. Yuo-Hsien Shiau & Su-Fen Yang & Rishan Adha & Syamsiyatul Muzayyanah, 2022. "Modeling Industrial Energy Demand in Relation to Subsector Manufacturing Output and Climate Change: Artificial Neural Network Insights," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    5. Pogany, Peter, 2013. "Thermodynamic Isolation and the New World Order," MPRA Paper 49924, University Library of Munich, Germany.
    6. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    7. Olga Kiuila & Thomas F. Rutherford, 2014. "Economic modeling approaches: optimization versus equilibrium," Working Papers 2014-04, Faculty of Economic Sciences, University of Warsaw.
    8. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
    9. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
    10. May Arunanondchai, 2016. "Trade Policy and the Welfare of Southeast-Asian Timber Exporters: Some Implications for Forest Resources," EEPSEA Research Report rr2016056, Economy and Environment Program for Southeast Asia (EEPSEA), revised Apr 2016.
    11. Massimo Filippini & Bettina Hirl & Giuliano Masiero, 2015. "Rational habits in residential electricity demand," IdEP Economic Papers 1506, USI Università della Svizzera italiana.
    12. Valeria Costantini & Francesco Crespi, 2013. "Public policies for a sustainable energy sector: regulation, diversity and fostering of innovation," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 401-429, April.
    13. Yumin Li & Yan Jiang & Shiyuan Li, 2022. "Price and income elasticities of electricity in China: Estimation and policy implications," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 76-90, November.
    14. Gautam, Tej K. & Paudel, Krishna P., 2018. "The demand for natural gas in the Northeastern United States," Energy, Elsevier, vol. 158(C), pages 890-898.
    15. Kiuila, O. & Rutherford, T.F., 2013. "Piecewise smooth approximation of bottom–up abatement cost curves," Energy Economics, Elsevier, vol. 40(C), pages 734-742.
    16. Hernandez-Fajardo, Isaac & Dueñas-Osorio, Leonardo, 2013. "Probabilistic study of cascading failures in complex interdependent lifeline systems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 260-272.
    17. Tomoki Ishikura & Fuga Yokoyama, 2022. "Regional economic effects of the Ring Road project in the Greater Tokyo Area: A spatial CGE approach," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 811-837, August.
    18. Smith, Richard D. & Yago, Milton & Millar, Michael & Coast, Jo, 2005. "Assessing the macroeconomic impact of a healthcare problem: The application of computable general equilibrium analysis to antimicrobial resistance," Journal of Health Economics, Elsevier, vol. 24(6), pages 1055-1075, November.
    19. Lindemann, Henrik, 2015. "Regulatory Objectives and the Intensity of Unbundling in Electricity Markets," Hannover Economic Papers (HEP) dp-544, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    20. Xueqin Zhu & Lia Wesenbeeck & Ekko Ierland, 2006. "Impacts of Novel Protein Foods on Sustainable Food Production and Consumption: Lifestyle Change and Environmental Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 35(1), pages 59-87, September.

    More about this item

    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:ove:journl:aid:10757. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Francisco J. Delgado (email available below). General contact details of provider: https://edirc.repec.org/data/deovies.html .

    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.