IDEAS home Printed from https://ideas.repec.org/a/aen/journl/ej38-1-jung.html
   My bibliography  Save this article

Welfare Effects of Nonlinear Electricity Pricing

Author

Listed:
  • Jung S. You and So Yeong Lim

Abstract

Block pricing is widespread among electricity and water utilities to protect low-income households and to encourage energy conservation through higher marginal prices. However, whether a block pricing system achieves those objectives is controversial. In this article, we analyze the impact of alternative electricity pricing systems on the welfare of consumers for the case of residential electricity block pricing in Korea. To do this, we first develop a theoretical model to compute each household's welfare change under alternative pricing systems. Then, we estimate the residential electricity demand function and compute every household's electricity consumption and expenses under alternative pricing systems. Finally, we compute each household's welfare change and social welfare to draw policy implications.

Suggested Citation

  • Jung S. You and So Yeong Lim, 2017. "Welfare Effects of Nonlinear Electricity Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    • Handle: RePEc:aen:journl:ej38-1-jung
    as

    Download full text from publisher

    File URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=2857
    Download Restriction: Access to full text is restricted to IAEE members and subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Wang, Yao & Lin, Boqiang, 2021. "Performance of alternative electricity prices on residential welfare in China," Energy Policy, Elsevier, vol. 153(C).
    2. Wang, Xiaolei & Wei, Chunxin & Wang, Yanhua, 2022. "Does the current tiered electricity pricing structure still restrain electricity consumption in China's residential sector?," Energy Policy, Elsevier, vol. 165(C).
    3. Simonovits, András & Kotek, Péter & Horváth, Gábor & Takácsné Tóth, Borbála, 2023. "Az energiaárak támogatása Magyarországon - egy egyszerű modell [Subsidizing energy prices in Hungary - a simple model]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 589-612.

    More about this item

    JEL classification:

    • F0 - International Economics - - General

    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:aen:journl:ej38-1-jung. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: David Williams (email available below). General contact details of provider: https://edirc.repec.org/data/iaeeeea.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.