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Impacts of hybrid time-varying tariffs on residential electricity demand: The case of Zhejiang Province

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  • Guang, Fengtao
  • He, Yongxiu
  • Wen, Le

Abstract

With the further liberalization of China's electricity market, electricity price becomes more important in the power supply-demand balance. We investigate the impacts of a hybrid time-varying tariff policy on residential electricity demand. In our estimation, we maximize the residential users' utility, taking average price responsiveness as their perceived price. Four indices related to power usage and expenses are designed to measure the response effects of time-varying tariff policy using a case study of Zhejiang province.

Suggested Citation

  • Guang, Fengtao & He, Yongxiu & Wen, Le, 2019. "Impacts of hybrid time-varying tariffs on residential electricity demand: The case of Zhejiang Province," Utilities Policy, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:juipol:v:61:y:2019:i:c:s0957178719303224
    DOI: 10.1016/j.jup.2019.100969
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    References listed on IDEAS

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    2. David I. Okorie, 2021. "A network analysis of electricity demand and the cryptocurrency markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3093-3108, April.
    3. Han, Xintong & Liu, Zimin & Wang, Tong, 2023. "Nonlinear pricing in multidimensional context: An empirical analysis of energy consumption," International Journal of Industrial Organization, Elsevier, vol. 91(C).
    4. Yabin Da & Bin Zeng & Jing-Li Fan & Jiawei Hu & Lanlan Li, 2023. "Heterogeneous responses to climate: evidence from residential electricity consumption," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
    5. Shi-Yi Song & Hong Leng, 2020. "Modeling the Household Electricity Usage Behavior and Energy-Saving Management in Severely Cold Regions," Energies, MDPI, vol. 13(21), pages 1-22, October.
    6. Yongxiu He & Meiyan Wang & Jinxiong Yu & Qing He & Huijun Sun & Fengyu Su, 2020. "Research on the Hybrid Recommendation Method of Retail Electricity Price Package Based on Power User Characteristics and Multi-Attribute Utility in China," Energies, MDPI, vol. 13(11), pages 1-18, May.

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