IDEAS home Printed from https://ideas.repec.org/p/fem/femwpa/2006.112.html
   My bibliography  Save this paper

Energy Demand and Temperature: A Dynamic Panel Analysis

Author

Listed:
  • Andrea Bigano

    (Fondazione Eni Enrico Mattei)

  • Francesco Bosello

    (Fondazione Eni Enrico Mattei and EEE Programme, International Centre for Theoretical Physics)

  • Giuseppe Marano

    (Fondazione Eni Enrico Mattei)

Abstract

This paper is a first attempt to investigate the effect of climate on the demand for different energy vectors from different final users. The ultimate motivation for this is to arrive to a consistent evaluation of the impact of climate change on key consumption goods and primary factors such as energy vectors. This paper addresses these issues by means of a dynamic panel analysis of the demand for coal, gas, electricity, oil and oil products by residential, commercial and industrial users in OECD and (a few) non-OECD countries. It turns out that temperature has a very different influence on the demand of energy vectors as consumption goods and on their demand as primary factors. In general, residential demand responds negatively to temperature increases, while industrial demand is insensitive to temperature increases. As to the service sector, only electricity demand displays a mildly significant negative elasticity to temperature changes.

Suggested Citation

  • Andrea Bigano & Francesco Bosello & Giuseppe Marano, 2006. "Energy Demand and Temperature: A Dynamic Panel Analysis," Working Papers 2006.112, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2006.112
    as

    Download full text from publisher

    File URL: https://feem-media.s3.eu-central-1.amazonaws.com/wp-content/uploads/NDL2006-112-1.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pardo, Angel & Meneu, Vicente & Valor, Enric, 2002. "Temperature and seasonality influences on Spanish electricity load," Energy Economics, Elsevier, vol. 24(1), pages 55-70, January.
    2. Taylor, James W. & Buizza, Roberto, 2003. "Using weather ensemble predictions in electricity demand forecasting," International Journal of Forecasting, Elsevier, vol. 19(1), pages 57-70.
    3. Henley, Andrew & Peirson, John, 1998. "Residential energy demand and the interaction of price and temperature: British experimental evidence," Energy Economics, Elsevier, vol. 20(2), pages 157-171, April.
    4. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
    5. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    6. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    7. Beenstock, Michael & Goldin, Ephraim & Nabot, Dan, 1999. "The demand for electricity in Israel," Energy Economics, Elsevier, vol. 21(2), pages 168-183, April.
    8. Engsted, T & Bentzen, J, 1997. "Dynamic Modelling of Energy Demand : A Guided Tour Through the Jungle of Unit Roots and Cointegration," Papers 97-6, Aarhus School of Business - Department of Economics.
    9. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    10. Masih, Abul M. M. & Masih, Rumi, 1996. "Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques," Energy Economics, Elsevier, vol. 18(3), pages 165-183, July.
    11. Banerjee, Anindya, 1999. "Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 607-629, Special I.
    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. Apergis, Nicholas & Payne, James E., 2009. "Energy consumption and economic growth: Evidence from the Commonwealth of Independent States," Energy Economics, Elsevier, vol. 31(5), pages 641-647, September.
    2. Huang, Bwo-Nung & Hwang, M.J. & Yang, C.W., 2008. "Causal relationship between energy consumption and GDP growth revisited: A dynamic panel data approach," Ecological Economics, Elsevier, vol. 67(1), pages 41-54, August.
    3. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2016. "A new approach to modeling the effects of temperature fluctuations on monthly electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 206-216.
    4. Murad, Wahid & Alam, Md. Mahmudul & Noman, Abu Hanifa Md. & OZTURK, Ilhan, 2019. "Dynamics of technological innovation, energy consumption, energy price and economic growth in Denmark," OSF Preprints 9tkj8, Center for Open Science.
    5. Saida Zaidi & Samia Gmiden & Kais Saidi, 2018. "How energy consumption affects economic development in select African countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 501-513, January.
    6. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2013. "Seasonal temperature variations and energy demand," Climatic Change, Springer, vol. 116(3), pages 805-825, February.
    7. Lee, Chien-Chiang & Chang, Chun-Ping & Chen, Pei-Fen, 2008. "Energy-income causality in OECD countries revisited: The key role of capital stock," Energy Economics, Elsevier, vol. 30(5), pages 2359-2373, September.
    8. Kaplan, Muhittin & Ozturk, Ilhan & Kalyoncu, Huseyin, 2011. "Energy Consumption and Economic Growth in Turkey: Cointegration and Causality Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 31-41, June.
    9. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.
    10. José María ARRANZ & Carlos GARCÍA SERRANO & Virginia HERNANZ, 2013. "Active labour market policies in Spain: A macroeconomic evaluation," International Labour Review, International Labour Organization, vol. 152(2), pages 327-348, June.
    11. Özgür Özaydın* & H. Alper Güzel, 2019. "Oil Consumption and Economic Growth in Turkey: An ARDL Bounds Test Approach in the Presence of Structural Breaks," Business, Management and Economics Research, Academic Research Publishing Group, vol. 5(6), pages 77-85, 06-2019.
    12. Hengyun Ma & Les Oxley & John Gibson, 2008. "Testing for Energy Market Integration in China," Working Papers in Economics 08/12, University of Canterbury, Department of Economics and Finance.
    13. Rahman, Mohammad Mafizur & Mamun, Shamsul Arifeen Khan, 2016. "Energy use, international trade and economic growth nexus in Australia: New evidence from an extended growth model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 806-816.
    14. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    15. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    16. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    17. Marvão Pereira, Alfredo & Marvão Pereira, Rui Manuel, 2010. "Is fuel-switching a no-regrets environmental policy? VAR evidence on carbon dioxide emissions, energy consumption and economic performance in Portugal," Energy Economics, Elsevier, vol. 32(1), pages 227-242, January.
    18. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    19. Kentaro Akashi & Naoto Kunitomo, 2010. "The Limited Information Maximum Likelihood Approach to Dynamic Panel Structural Equations," CIRJE F-Series CIRJE-F-708, CIRJE, Faculty of Economics, University of Tokyo.
    20. Thoma, Mark, 2004. "Electrical energy usage over the business cycle," Energy Economics, Elsevier, vol. 26(3), pages 463-485, May.

    More about this item

    Keywords

    Energy Demand; Temperature; Dynamic Panels;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fem:femwpa:2006.112. 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: Alberto Prina Cerai (email available below). General contact details of provider: https://edirc.repec.org/data/feemmit.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.