IDEAS home Printed from https://ideas.repec.org/a/kap/revind/v56y2020i1d10.1007_s11151-019-09696-4.html
   My bibliography  Save this article

A Comparison of Electricity-Pricing Programs: Economic Efficiency, Cost Recovery, and Income Distribution

Author

Listed:
  • Ming-Feng Hung

    (Tamkang University)

  • Bin-Tzong Chie

    (Tamkang University)

  • Huei-Chu Liao

    (Tamkang University)

Abstract

This article empirically compares four electricity-pricing programs—increasing-block pricing (IBP); floating increasing-block pricing (FIBP); free market pricing (FMP); and a price-cum-trade incentive system (PTS)—in terms of efficiency, cost recovery, and income distribution by using the residential electricity data of Taiwan. The research results show that IBP and FIBP suffer from the same problem: It is hard to be cost-neutral. Further, FMP is economically efficient while favoring the electric utility over the households. PTS—which is a pricing program that satisfies the second fundamental theorem of welfare economics—shows a better ability to consider economic efficiency and equity simultaneously.

Suggested Citation

  • Ming-Feng Hung & Bin-Tzong Chie & Huei-Chu Liao, 2020. "A Comparison of Electricity-Pricing Programs: Economic Efficiency, Cost Recovery, and Income Distribution," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 143-163, February.
  • Handle: RePEc:kap:revind:v:56:y:2020:i:1:d:10.1007_s11151-019-09696-4
    DOI: 10.1007/s11151-019-09696-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11151-019-09696-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11151-019-09696-4?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
    ---><---

    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. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    2. Dinusha Dharmaratna & Edwyna Harris, 2012. "Estimating Residential Water Demand Using the Stone-Geary Functional Form: The Case of Sri Lanka," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2283-2299, June.
    3. Wodon, Quentin & Ajwad, Mohamed Ishan & Siaens, Corinne, 2003. "Lifeline or Means-Testing? Electric Utility Subsidies in Honduras," MPRA Paper 15419, University Library of Munich, Germany.
    4. 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.
    5. Roberto Martinez-Espineira & Celine Nauges, 2004. "Is all domestic water consumption sensitive to price control?," Applied Economics, Taylor & Francis Journals, vol. 36(15), pages 1697-1703.
    6. Sylvestre Gaudin & Ronald C. Griffin & Robin C. Sickles, 2001. "Demand Specification for Municipal Water Management: Evaluation of the Stone-Geary Form," Land Economics, University of Wisconsin Press, vol. 77(3), pages 399-422.
    7. Joshua Graff Zivin and Kevin Novan, 2016. "Upgrading Efficiency and Behavior: Electricity Savings from Residential Weatherization Programs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    8. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    9. Lin, Boqiang & Jiang, Zhujun, 2012. "Designation and influence of household increasing block electricity tariffs in China," Energy Policy, Elsevier, vol. 42(C), pages 164-173.
    10. Castro-Rodriguez, Fidel & Da-Rocha, Jose Maria & Delicado, Pedro, 2002. "Desperately Seeking Theta's: Estimating the Distribution of Consumers under Increasing Block Rates," Journal of Regulatory Economics, Springer, vol. 22(1), pages 29-58, July.
    11. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    12. Severin Borenstein, 2012. "The Redistributional Impact of Nonlinear Electricity Pricing," American Economic Journal: Economic Policy, American Economic Association, vol. 4(3), pages 56-90, August.
    13. Dixon, Robert K. & McGowan, Elizabeth & Onysko, Ganna & Scheer, Richard M., 2010. "US energy conservation and efficiency policies: Challenges and opportunities," Energy Policy, Elsevier, vol. 38(11), pages 6398-6408, November.
    14. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
    15. Ming-Feng Hung & Bin-Tzong Chie, 2013. "Residential Water Use: Efficiency, Affordability, and Price Elasticity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 275-291, January.
    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. Anette Boom & Sebastian Schwenen, 2021. "Is real-time pricing smart for consumers?," Journal of Regulatory Economics, Springer, vol. 60(2), pages 193-213, December.

    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. Hung, Ming-Feng & Chie, Bin-Tzong, 2017. "The long-run performance of increasing-block pricing in Taiwan's residential electricity sector," Energy Policy, Elsevier, vol. 109(C), pages 782-793.
    2. 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.
    3. Jia, Jun-Jun & Guo, Jin & Wei, Chu, 2021. "Elasticities of residential electricity demand in China under increasing-block pricing constraint: New estimation using household survey data," Energy Policy, Elsevier, vol. 156(C).
    4. María Ángeles García-Valiñas & Sara Suárez-Fernández, 2022. "Are Economic Tools Useful to Manage Residential Water Demand? A Review of Old Issues and Emerging Topics," Post-Print hal-04067487, HAL.
    5. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
    6. Liu, Chang & Lin, Boqiang, 2020. "Is increasing-block electricity pricing effectively carried out in China? A case study in Shanghai and Shenzhen," Energy Policy, Elsevier, vol. 138(C).
    7. 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.
    8. Minh Ha-Duong & Nguyen Son, 2021. "Subjective satisfaction and objective electricity poverty reduction in Vietnam, 2008-2018," Post-Print hal-03160911, HAL.
    9. Gong, Chengzhu & Yu, Shiwei & Zhu, Kejun & Hailu, Atakelty, 2016. "Evaluating the influence of increasing block tariffs in residential gas sector using agent-based computational economics," Energy Policy, Elsevier, vol. 92(C), pages 334-347.
    10. Saha, Debalina & Bhattacharya, Rabindra N., 2018. "An analysis of elasticity of electricity demand in West Bengal, India: Some policy lessons learnt," Energy Policy, Elsevier, vol. 114(C), pages 591-597.
    11. Wu, Ya & Zhang, Li, 2017. "Evaluation of energy saving effects of tiered electricity pricing and investigation of the energy saving willingness of residents," Energy Policy, Elsevier, vol. 109(C), pages 208-217.
    12. Wang, Yao & Lin, Boqiang, 2021. "Performance of alternative electricity prices on residential welfare in China," Energy Policy, Elsevier, vol. 153(C).
    13. Ming-Feng Hung & Bin-Tzong Chie & Tai-Hsin Huang, 2017. "Residential water demand and water waste in Taiwan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 249-268, April.
    14. He, Xiaoping & Reiner, David, 2016. "Electricity demand and basic needs: Empirical evidence from China's households," Energy Policy, Elsevier, vol. 90(C), pages 212-221.
    15. Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
    16. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2020. "Policy cognition is more effective than step tariff in promoting electricity saving behaviour of residents," Energy Policy, Elsevier, vol. 139(C).
    17. Ensieh Shojaeddini & Ben Gilbert, 2023. "Heterogeneity in the Rebound Effect: Evidence from Efficient Lighting Subsidies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(1), pages 173-217, January.
    18. Li, Yao & Fan, Jin & Zhao, Dingtao & Wu, Yanrui & Li, Jun, 2016. "Tiered gasoline pricing: A personal carbon trading perspective," Energy Policy, Elsevier, vol. 89(C), pages 194-201.
    19. Kim, Hyun-gyu, 2019. "Estimating demand response in an extreme block pricing environment: Evidence from Korea's electricity pricing system, 2005–2014," Energy Policy, Elsevier, vol. 132(C), pages 1076-1086.
    20. Sun, Chuanwang, 2015. "An empirical case study about the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 160(C), pages 383-389.

    More about this item

    Keywords

    Residential electricity; Increasing-block pricing; Efficiency; Cost recovery; Income distribution;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    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:kap:revind:v:56:y:2020:i:1:d:10.1007_s11151-019-09696-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.