IDEAS home Printed from https://ideas.repec.org/a/nea/journl/y2025i66p117-131.html
   My bibliography  Save this article

Price elasticity of wholesale demand for electricity in the regions of the Russian Federation

Author

Listed:
  • Tomskiy, S.

    (HSE University, Moscow, Russia)

Abstract

This paper presents a study of the price elasticity of wholesale electricity demand in three regions of the Russian Federation: the Republic of Kalmykia, the Altai Republic, and the Astrakhan region. Hourly consumption data and hourly equilibrium prices on the day-ahead market for 2022 were used. Due to the endogeneity problem caused by the two-way causality, the two-stage least squares (2SLS) method was applied, where the production of alternative energy sources was chosen as the price instrument. The F-statistics of the first stage of the regressions indicate that the instruments are not weak. The results show that wholesale demand is generally price inelastic, which is consistent with the results obtained in the international literature. The elasticity in modulus in the Republic of Kalmykia turns out to be highly variable - from 0.5 to 1.4. At any time of the day, inelastic demand is observed in the Altai Republic (from 0.25 to 0.5) and the Astrakhan Region (up to 0.1). Moreover, in all the regions considered, night elasticity is higher than day elasticity. This may be a consequence of the policy of two-tariff pricing in the retail market (different tariffs during the day and at night).

Suggested Citation

  • Tomskiy, S., 2025. "Price elasticity of wholesale demand for electricity in the regions of the Russian Federation," Journal of the New Economic Association, New Economic Association, vol. 66(1), pages 117-131.
    • Handle: RePEc:nea:journl:y:2025:i:66:p:117-131
    DOI: 10.31737/22212264_2025_1_117-131
    as

    Download full text from publisher

    File URL: http://www.econorus.org/repec/journl/2025-66-117-131r.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31737/22212264_2025_1_117-131?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. Christoph Memmel & Andrea Schertler, 2013. "Bank management of the net interest margin: new measures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 275-297, September.
    2. Chaudron, Raymond F.D.D., 2018. "Bank's interest rate risk and profitability in a prolonged environment of low interest rates," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 94-104.
    3. Fungáčová, Zuzana & Poghosyan, Tigran, 2011. "Determinants of bank interest margins in Russia: Does bank ownership matter?," Economic Systems, Elsevier, vol. 35(4), pages 481-495.
    4. English, William B. & Van den Heuvel, Skander J. & Zakrajšek, Egon, 2018. "Interest rate risk and bank equity valuations," Journal of Monetary Economics, Elsevier, vol. 98(C), pages 80-97.
    5. Drehmann, Mathias & Sorensen, Steffen & Stringa, Marco, 2010. "The integrated impact of credit and interest rate risk on banks: A dynamic framework and stress testing application," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 713-729, April.
    6. Stephan Barisitz & Philippe Deswel, 2023. "Russia’s banking sector and its EU-owned significant banks, against the backdrop of war and sanctions," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/23, pages 23-41.
    7. Esposito, Lucia & Nobili, Andrea & Ropele, Tiziano, 2015. "The management of interest rate risk during the crisis: Evidence from Italian banks," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 486-504.
    8. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    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. Gorodilov, A., 2025. "Net interest margin decomposition for the Russian banking industry," Journal of the New Economic Association, New Economic Association, vol. 66(1), pages 97-116.
    2. Chaudron, Raymond F.D.D., 2018. "Bank's interest rate risk and profitability in a prolonged environment of low interest rates," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 94-104.
    3. Molyneux, Philip & Pancotto, Livia & Reghezza, Alessio & Rodriguez d'Acri, Costanza, 2022. "Interest rate risk and monetary policy normalisation in the euro area," Journal of International Money and Finance, Elsevier, vol. 124(C).
    4. Pierluigi Bologna, 2017. "Banks’ maturity transformation: risk, reward, and policy," Temi di discussione (Economic working papers) 1159, Bank of Italy, Economic Research and International Relations Area.
    5. Bats, Joost V. & Giuliodori, Massimo & Houben, Aerdt C.F.J., 2023. "Monetary policy effects in times of negative interest rates: What do bank stock prices tell us?," Journal of Financial Intermediation, Elsevier, vol. 53(C).
    6. Serhat Yuksel & Sinemis Zengin, 2016. "Identifying the Determinants of Interest Rate Risk of the Banks," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(6), pages 12-28, October.
    7. Ramona Busch & Christoph Memmel, 2016. "Quantifying the components of the banks’ net interest margin," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(4), pages 371-396, November.
    8. Foos, Daniel & Lütkebohmert, Eva & Markovych, Mariia & Pliszka, Kamil, 2017. "Euro area banks' interest rate risk exposure to level, slope and curvature swings in the yield curve," Discussion Papers 24/2017, Deutsche Bundesbank.
    9. Raymond Chaudron, 2016. "Bank profitability and risk taking in a prolonged environment of low interest rates: a study of interest rate risk in the banking book of Dutch banks," DNB Working Papers 526, Netherlands Central Bank, Research Department.
    10. Mun, Kyung-Chun, 2016. "Hedging bank market risk with futures and forwards," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 112-125.
    11. Claußen, Catharina & Platte, Daniel, 2023. "Evaluating the validity of regulatory interest rate risk measures – a simulation approach," Journal of Banking & Finance, Elsevier, vol. 154(C).
    12. Schmidhammer, Christoph & Hille, Vanessa & Wiedemann, Arnd, 2020. "Performance of maturity transformation strategies," Discussion Papers 58/2020, Deutsche Bundesbank.
    13. Piergiorgio Alessandri & Benjamin D. Nelson, 2015. "Simple Banking: Profitability and the Yield Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(1), pages 143-175, February.
    14. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, February.
    15. Kiran Paudel & Atsuyuki Naka, 2023. "Effects of size on the exchange-traded funds performance," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 474-484, October.
    16. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    17. Christoffersen, Peter & Ghysels, Eric & Swanson, Norman R., 2002. "Let's get "real" about using economic data," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 343-360, August.
    18. Radosław Kurach, 2013. "Does Beta Explain Global Equity Market Volatility – Some Empirical Evidence," Contemporary Economics, Vizja University, vol. 7(2), June.
    19. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    20. Shi, Yun & Cui, Xiangyu & Zhou, Xunyu, 2020. "Beta and Coskewness Pricing: Perspective from Probability Weighting," SocArXiv 5rqhv, Center for Open Science.

    More about this item

    Keywords

    electricity; price elasticity of demand; demand assessment; 2SLS; regions of Russia;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

    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:2025:i:66:p:117-131. 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.