IDEAS home Printed from https://ideas.repec.org/a/eee/jpolmo/v38y2016i6p1078-1088.html
   My bibliography  Save this article

The effects of progressive pricing on household electricity use

Author

Listed:
  • Youn, Hyungho
  • Jin, Hyun Joung

Abstract

This paper proposes a model to calculate the magnitude of the reduction in household electricity use that results from a progressive pricing policy, relative to the case where uniform pricing is implemented. To quantify such an effect, a theoretical model is developed for household electricity use, and then it is applied to the progressive pricing policy for electricity in Seoul, South Korea, to empirically derive the magnitude of the reduction in household electricity use. The results suggest that progressive pricing reduces the elasticity in demand for household electricity in the summer. That is, the progressive pricing policy has a curbing effect. Therefore, households would consume a higher amount of electricity in the summer without progressive pricing.

Suggested Citation

  • Youn, Hyungho & Jin, Hyun Joung, 2016. "The effects of progressive pricing on household electricity use," Journal of Policy Modeling, Elsevier, vol. 38(6), pages 1078-1088.
    • Handle: RePEc:eee:jpolmo:v:38:y:2016:i:6:p:1078-1088
    DOI: 10.1016/j.jpolmod.2016.06.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0161893816300527
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jpolmod.2016.06.001?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
    ---><---

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

    References listed on IDEAS

    as
    1. Herriges, Joseph A & King, Kathleen Kuester, 1994. "Residential Demand for Electricity under Inverted Block Rates: Evidence from a Controlled Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 419-430, October.
    2. Herriges, Joseph A. & King, K.A., 1994. "Residential Demand for Electricity Under Block Rate Structures: Evidence from a Controlled Experiment," Staff General Research Papers Archive 1498, Iowa State University, Department of Economics.
    3. Jamil, Faisal & Ahmad, Eatzaz, 2010. "The relationship between electricity consumption, electricity prices and GDP in Pakistan," Energy Policy, Elsevier, vol. 38(10), pages 6016-6025, October.
    4. Carter, Adrian & Craigwell, Roland & Moore, Winston, 2012. "Price reform and household demand for electricity," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 242-252.
    5. Lee, Chien-Chiang & Chang, Chun-Ping, 2008. "Energy consumption and economic growth in Asian economies: A more comprehensive analysis using panel data," Resource and Energy Economics, Elsevier, vol. 30(1), pages 50-65, January.
    6. Marvin J. Horowitz, 2007. "Changes in Electricity Demand in the United States from the 1970s to 2003," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 93-120.
    7. 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.
    8. Mussa, Michael & Rosen, Sherwin, 1978. "Monopoly and product quality," Journal of Economic Theory, Elsevier, vol. 18(2), pages 301-317, August.
    9. Massimo, Filippini, 2011. "Short- and long-run time-of-use price elasticities in Swiss residential electricity demand," Energy Policy, Elsevier, vol. 39(10), pages 5811-5817, October.
    10. Uri, Noel D. & Boyd, Roy, 1999. "A Note on the Economic Impact of Higher Gasoline and Electricity Prices in Mexico," Journal of Policy Modeling, Elsevier, vol. 21(4), pages 527-534, July.
    11. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
    12. Veall, Michael R., 1986. "Time-of use rates and peak period electricity consumption : An empirical note," Energy Economics, Elsevier, vol. 8(4), pages 257-262, October.
    13. J. A. C. Sterne & A. Kingman & H. LÖE, 1992. "Assessing the Nature of Periodontal Disease Progression —An Application of Covariance Structure Estimation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(3), pages 539-552, November.
    14. Henley, Andrew & Peirson, John, 1994. "Time-of-use electricity pricing : Evidence from a British experiment," Economics Letters, Elsevier, vol. 45(3), pages 421-426.
    15. Hekkenberg, M. & Benders, R.M.J. & Moll, H.C. & Schoot Uiterkamp, A.J.M., 2009. "Indications for a changing electricity demand pattern: The temperature dependence of electricity demand in the Netherlands," Energy Policy, Elsevier, vol. 37(4), pages 1542-1551, April.
    16. Peter C. Reiss & Matthew W. White, 2005. "Household Electricity Demand, Revisited," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 853-883.
    17. Akinlo, A.E., 2009. "Electricity consumption and economic growth in Nigeria: Evidence from cointegration and co-feature analysis," Journal of Policy Modeling, Elsevier, vol. 31(5), pages 681-693, 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. Hasan, Syed Abul & Mozumder, Pallab, 2017. "Income and energy use in Bangladesh: A household level analysis," Energy Economics, Elsevier, vol. 65(C), pages 115-126.
    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. Ouédraogo, S. & Faggianelli, G.A. & Notton, G. & Duchaud, J.L. & Voyant, C., 2022. "Impact of electricity tariffs and energy management strategies on PV/Battery microgrid performances," Renewable Energy, Elsevier, vol. 199(C), pages 816-825.
    4. Cheng, Fei & Chen, Tong & Chen, Qiao, 2020. "Rewards based on public loyalty program promote cooperation in public goods game," Applied Mathematics and Computation, Elsevier, vol. 378(C).
    5. Matar, Walid, 2018. "Households' response to changes in electricity pricing schemes: Bridging microeconomic and engineering principles," Energy Economics, Elsevier, vol. 75(C), pages 300-308.
    6. Prasanna, Ashreeta & Mahmoodi, Jasmin & Brosch, Tobias & Patel, Martin K., 2018. "Recent experiences with tariffs for saving electricity in households," Energy Policy, Elsevier, vol. 115(C), pages 514-522.
    7. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2019. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles," Energies, MDPI, vol. 12(22), pages 1-22, November.
    8. Gung, Roger R. & Huang, Chun-Che & Hung, Wen-I & Fang, Yu-Jie, 2020. "The use of hybrid analytics to establish effective strategies for household energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).

    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. 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.
    2. Nawaz, Saima & Iqbal, Nasir & Anwar, Saba, 2014. "Modelling electricity demand using the STAR (Smooth Transition Auto-Regressive) model in Pakistan," Energy, Elsevier, vol. 78(C), pages 535-542.
    3. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    4. 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.
    5. Çetinkaya, Murat & Başaran, Alparslan A. & Bağdadioğlu, Necmiddin, 2015. "Electricity reform, tariff and household elasticity in Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 79-85.
    6. Khan, Muhammad Arshad & Abbas, Faisal, 2016. "The dynamics of electricity demand in Pakistan: A panel cointegration analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1159-1178.
    7. Blazquez Leticia & Nina Boogen & Massimo Filippini, 2012. "Residential electricity demand for Spain: new empirical evidence using aggregated data," CEPE Working paper series 12-82, CEPE Center for Energy Policy and Economics, ETH Zurich.
    8. 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.
    9. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2014. "A new look at residential electricity demand using household expenditure data," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
    10. Shahateet, Mohammed Issa & Al-Majali, Khalid Ali & Al-Hahabashneh, Fedel, 2014. "Causality and Cointegration between Economic Growth and Energy Consumption: Econometric Evidence from Jordan," MPRA Paper 59067, University Library of Munich, Germany, revised Oct 2014.
    11. Chabouni, Naima & Belarbi, Yacine & Benhassine, Wassim, 2020. "Electricity load dynamics, temperature and seasonality Nexus in Algeria," Energy, Elsevier, vol. 200(C).
    12. Lin, Boqiang & Chen, Xing, 2018. "Is the implementation of the Increasing Block Electricity Prices policy really effective?--- Evidence based on the analysis of synthetic control method," Energy, Elsevier, vol. 163(C), pages 734-750.
    13. Salari, Mahmoud & Javid, Roxana J., 2016. "Residential energy demand in the United States: Analysis using static and dynamic approaches," Energy Policy, Elsevier, vol. 98(C), pages 637-649.
    14. Zhang, Zibin & Cai, Wenxin & Feng, Xiangzhao, 2017. "How do urban households in China respond to increasing block pricing in electricity? Evidence from a fuzzy regression discontinuity approach," Energy Policy, Elsevier, vol. 105(C), pages 161-172.
    15. Koji Miyawaki & Yasuhiro Omori & Akira Hibiki, 2006. "Bayesian Estimation of Demand Functions under Block Rate Pricing," CIRJE F-Series CIRJE-F-424, CIRJE, Faculty of Economics, University of Tokyo.
    16. Woo, C.K. & Sreedharan, P. & Hargreaves, J. & Kahrl, F. & Wang, J. & Horowitz, I., 2014. "A review of electricity product differentiation," Applied Energy, Elsevier, vol. 114(C), pages 262-272.
    17. Alam, Mohammad Jahangir & Ahmed, Mumtaz & Begum, Ismat Ara, 2017. "Nexus between non-renewable energy demand and economic growth in Bangladesh: Application of Maximum Entropy Bootstrap approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 399-406.
    18. Cappers, Peter A. & Todd-Blick, Annika, 2021. "Heterogeneity in own-price residential customer demand elasticities for electricity under time-of-use rates: Evidence from a randomized-control trial in the United States," Utilities Policy, Elsevier, vol. 73(C).
    19. Hekkenberg, M. & Moll, H.C. & Uiterkamp, A.J.M. Schoot, 2009. "Dynamic temperature dependence patterns in future energy demand models in the context of climate change," Energy, Elsevier, vol. 34(11), pages 1797-1806.
    20. Hirano, Y. & Fujita, T., 2012. "Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo," Energy, Elsevier, vol. 37(1), pages 371-383.

    More about this item

    Keywords

    Electricity consumption; Household electricity demand; Progressive pricing; Curbing effect;
    All these keywords.

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    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:eee:jpolmo:v:38:y:2016:i:6:p:1078-1088. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/505735 .

    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.