IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v160y2015icp383-389.html
   My bibliography  Save this article

An empirical case study about the reform of tiered pricing for household electricity in China

Author

Listed:
  • Sun, Chuanwang

Abstract

The reform of tiered pricing for household electricity (TPHE) in China was implemented nationwide in July 2012. The main purpose of the policy is to promote reasonable resource allocation and utilization. Based on the micro household-level survey data, this paper investigates the effect of the TPHE on achieving the twin objectives of efficiency and equity respectively. Results demonstrate that under the current scheme of the TPHE, the incentives for electricity conservation are effective and the distortion of cross-subsidies in electricity tariffs in China has been reduced. However, price sensitivities of household electricity demand across different income groups are influenced by various factors. Future policy should concentrate on the design and improvement of the TPHE to establish a comprehensive pricing mechanism. Meanwhile, complementary policies should be enacted to support the TPHE, which will be helpful for further improvement of the TPHE and the establishment of other pricing mechanisms of resource-products in the residential sector.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:160:y:2015:i:c:p:383-389
    DOI: 10.1016/j.apenergy.2015.09.030
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261915011009
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2015.09.030?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. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Hang Gao & Johannes Van Biesebroeck, 2014. "Effects of Deregulation and Vertical Unbundling on the Performance of China's Electricity Generation Sector," Journal of Industrial Economics, Wiley Blackwell, vol. 62(1), pages 41-76, March.
    3. Upton, J. & Murphy, M. & Shalloo, L. & Groot Koerkamp, P.W.G. & De Boer, I.J.M., 2015. "Assessing the impact of changes in the electricity price structure on dairy farm energy costs," Applied Energy, Elsevier, vol. 137(C), pages 1-8.
    4. Dilaver, Zafer & Hunt, Lester C., 2011. "Industrial electricity demand for Turkey: A structural time series analysis," Energy Economics, Elsevier, vol. 33(3), pages 426-436, May.
    5. Wang, Zhaohua & Zhang, Bin & Zhang, Yixiang, 2012. "Determinants of public acceptance of tiered electricity price reform in China: Evidence from four urban cities," Applied Energy, Elsevier, vol. 91(1), pages 235-244.
    6. W. M. Corden, 1957. "The Calculation Op The Cost Op Protection," The Economic Record, The Economic Society of Australia, vol. 33(64), pages 29-51, April.
    7. 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.
    8. Ericson, Torgeir, 2011. "Households' self-selection of dynamic electricity tariffs," Applied Energy, Elsevier, vol. 88(7), pages 2541-2547, July.
    9. Raghabendra Chattopadhyay & Esther Duflo, 2004. "Women as Policy Makers: Evidence from a Randomized Policy Experiment in India," Econometrica, Econometric Society, vol. 72(5), pages 1409-1443, September.
    10. Olmstead, Sheila M. & Michael Hanemann, W. & Stavins, Robert N., 2007. "Water demand under alternative price structures," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 181-198, September.
    11. Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
    12. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    13. Du, Limin & He, Yanan & Yan, Jianye, 2013. "The effects of electricity reforms on productivity and efficiency of China's fossil-fired power plants: An empirical analysis," Energy Economics, Elsevier, vol. 40(C), pages 804-812.
    14. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    15. Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor & Francis Journals, vol. 6(8), pages 533-538.
    16. Wang, Yong & Li, Lin, 2015. "Time-of-use electricity pricing for industrial customers: A survey of U.S. utilities," Applied Energy, Elsevier, vol. 149(C), pages 89-103.
    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. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    2. 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.
    3. Wang, Chen & Zhou, Kaile & Yang, Shanlin, 2017. "A review of residential tiered electricity pricing in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 533-543.
    4. 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).
    5. 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.
    6. Kuang, Yunming & Lin, Boqiang, 2021. "Performance of tiered pricing policy for residential natural gas in China: Does the income effect matter?," Applied Energy, Elsevier, vol. 304(C).
    7. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    8. 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).
    9. Yang, Changhui & Meng, Chen & Zhou, Kaile, 2018. "Residential electricity pricing in China: The context of price-based demand response," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2870-2878.
    10. 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.
    11. Tiwari, Aviral Kumar & Menegaki, Angeliki N., 2019. "A time varying approach on the price elasticity of electricity in India during 1975–2013," Energy, Elsevier, vol. 183(C), pages 385-397.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. Yongxia Ding & Wei Qu & Shuwen Niu & Man Liang & Wenli Qiang & Zhenguo Hong, 2016. "Factors Influencing the Spatial Difference in Household Energy Consumption in China," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
    17. 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.
    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. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    20. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).

    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:appene:v:160:y:2015:i:c:p:383-389. 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.