IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2019i42p70-92.html
   My bibliography  Save this article

On Price Elasticity of Electicity Demand

Author

Listed:
  • Kukoverov, M.

    (Russian Presidential Academy of National Economy and Public Administration, Moscow, Russia)

Abstract

The paper provides the econometric estimates of short-run and long-run price elasticities of electricity demand for different categories of customers. Both for residential and for non-residential sectors the estimates (in absolute value) of short-run price elasticity are low, while the estimates of long-run price elasticity are high. Consequently, long-run projections of electricity demand under expectations of increase of energy prices should take into account the long-run price elasticity. The estimates of short-run price elasticity for non-residential sector can be used in models of imperfect competition in the electricity market, under a number of assumptions, such as the absence or weak attention of the regulator, when possible strategies of economic agents (such as electricity suppliers in the spot market) may depend on the short-run price elasticity of demand.

Suggested Citation

  • Kukoverov, M., 2019. "On Price Elasticity of Electicity Demand," Journal of the New Economic Association, New Economic Association, vol. 42(2), pages 70-92.
    • Handle: RePEc:nea:journl:y:2019:i:42:p:70-92
    DOI: 10.31737/2221-2264-2019-42-2-4
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2019-42-70-92r.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31737/2221-2264-2019-42-2-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income," Sustainable Development Papers 99637, Fondazione Eni Enrico Mattei (FEEM).
    2. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2012. "Estimation of elasticity price of electricity with incomplete information," Energy Economics, Elsevier, vol. 34(3), pages 627-633.
    3. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gaivoronskaia, Elizaveta, 2020. "Electricity demand elasticity and regional effects: Spatial econometric approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 76-95.
    2. Petrov, Mikhail & Serkov, Leonid & Kozhov, Konstantin, 2021. "Analysis of the spatial features of regional power consumption in the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 5-27.

    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. Kiran B Krishnamurthy, Chandra & Kriström, Bengt, 2013. "A cross-country analysis of residential electricity demand in 11 OECD-countries," CERE Working Papers 2013:5, CERE - the Center for Environmental and Resource Economics, revised 30 Jun 2014.
    2. Javier Bueno & Desiderio Romero-Jordán & Pablo del Río, 2020. "Analysing the Drivers of Electricity Demand in Spain after the Economic Crisis," Energies, MDPI, vol. 13(20), pages 1-18, October.
    3. Favero, Filippo & Grossi, Luigi, 2023. "Analysis of individual natural gas consumption and price elasticity: Evidence from billing data in Italy," Energy Economics, Elsevier, vol. 118(C).
    4. Marta Ferreira Dias & Silvia F. Jorge, 2017. "Market power and integrated regional markets of electricity: a simulation of the MIBEL," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 6(2), pages 45-67, November.
    5. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    6. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    7. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    8. Krishnamurthy, Chandra Kiran B. & Kriström, Bengt, 2015. "A cross-country analysis of residential electricity demand in 11 OECD-countries," Resource and Energy Economics, Elsevier, vol. 39(C), pages 68-88.
    9. Dorothée Charlier & Sondès Kahouli, 2018. "Fuel poverty and residential energy demand: how fuel-poor households react to energy price fluctuations," Post-Print halshs-01957771, HAL.
    10. Romero-Jordán, Desiderio & del Río, Pablo & Peñasco, Cristina, 2016. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Energy Policy, Elsevier, vol. 88(C), pages 361-370.
    11. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    12. Tosapol Apaitan & Thiti Tosborvorn & Wichsinee Wibulpolprasert, 2020. "Bunching for Free Electricity," PIER Discussion Papers 136, Puey Ungphakorn Institute for Economic Research.
    13. 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.
    14. 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.
    15. Dorothée Charlier & Sondès Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, , vol. 40(2), pages 101-138, March.
    16. Fanny Henriet & Katheline Schubert, 2015. "Should we extract the European shale gas? The effect of climate and financial constraints," Documents de travail du Centre d'Economie de la Sorbonne 15050, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    17. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    18. John T. Cuddington & Leila Dagher, 2015. "Estimating Short and Long-Run Demand Elasticities: A Primer with Energy-Sector Applications," The Energy Journal, , vol. 36(1), pages 185-210, January.
    19. Ohler, Adrienne M. & Billger, Sherrilyn M., 2014. "Does environmental concern change the tragedy of the commons? Factors affecting energy saving behaviors and electricity usage," Ecological Economics, Elsevier, vol. 107(C), pages 1-12.
    20. Alberini, Anna & Bezhanishvili, Levan & Ščasný, Milan, 2022. "“Wild” tariff schemes: Evidence from the Republic of Georgia," Energy Economics, Elsevier, vol. 110(C).

    More about this item

    Keywords

    electricity demand; price elasticity of demand; sectoral planning; capacity excess in UPS; operations research; econometric estimation;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

    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:nea:journl:y:2019:i:42:p:70-92. 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: Alexey Tcharykov (email available below). General contact details of provider: https://edirc.repec.org/data/nearuea.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.