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Assessing the effect of increasing block tariffs for residential natural gas in Hefei City, China

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  • Li, Lanlan
  • Yuan, Xiaomeng
  • Li, Jingjing
  • Li, Ke

Abstract

An increasing block tariff (IBT) policy for residential natural gas has been implemented in all Chinese cities with gas supply since January 2016 to guide residents to reduce gas. Due to the different local climate and demographic characteristics of China's regions, the IBT is not uniform, which provides an opportunity to evaluate the energy-saving effect of IBTs. This paper takes Hefei City as an example, based on a bimonthly bill dataset of Hefei residents from January 2014 to October 2018 and a difference-in-difference (DID) experiment designed within a regression discontinuity design (RDD) framework. The results show that the current IBT has a significant energy-saving effect, especially for households falling within the third price block, but not for households near the price-block thresholds. Further heterogeneity analyses show higher treatment effects for wall-mounted boiler heating users than non-wall-mounted boiler heating users and during the heating season than the non-heating season. These results suggest that the government should optimize the IBT from three to four blocks and develop separate rates for different users and seasons.

Suggested Citation

  • Li, Lanlan & Yuan, Xiaomeng & Li, Jingjing & Li, Ke, 2024. "Assessing the effect of increasing block tariffs for residential natural gas in Hefei City, China," Utilities Policy, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:juipol:v:90:y:2024:i:c:s0957178724000985
    DOI: 10.1016/j.jup.2024.101805
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    as
    1. Alberini, Anna & Khymych, Olha & Ščasný, Milan, 2020. "Responsiveness to energy price changes when salience is high: Residential natural gas demand in Ukraine," Energy Policy, Elsevier, vol. 144(C).
    2. 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.
    3. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    4. Brodeur, Abel & Clark, Andrew E. & Fleche, Sarah & Powdthavee, Nattavudh, 2021. "COVID-19, lockdowns and well-being: Evidence from Google Trends," Journal of Public Economics, Elsevier, vol. 193(C).
    5. Anna Alberini, Olha Khymych, and Milan `casný, 2019. "Response to Extreme Energy Price Changes: Evidence from Ukraine," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    6. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(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. Lu, Kai-Fa & Wang, Hong-Wei & Li, Xiao-Bing & Peng, Zhong-Ren & He, Hong-Di & Wang, Zhi-Peng, 2022. "Assessing the effects of non-local traffic restriction policy on urban air quality," Transport Policy, Elsevier, vol. 115(C), pages 62-74.
    9. 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).
    10. Zheng, Shuguang & Huang, Guohe & Zhou, Xiong & Zhu, Xiaohang, 2020. "Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 261(C).
    11. 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.
    12. Krauss, Alexander, 2016. "How natural gas tariff increases can influence poverty: Results, measurement constraints and bias," Energy Economics, Elsevier, vol. 60(C), pages 244-254.
    13. Lanot, Gauthier & Vesterberg, Mattias, 2021. "The price elasticity of electricity demand when marginal incentives are very large," Energy Economics, Elsevier, vol. 104(C).
    14. Ghazinoory, Sepehr & Aghaei, Parvaneh, 2021. "Differences between policy assessment & policy evaluation; a case study on supportive policies for knowledge-based firms," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    15. 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).
    16. Nataraj, Shanthi & Hanemann, W. Michael, 2011. "Does marginal price matter? A regression discontinuity approach to estimating water demand," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 198-212, March.
    17. 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.
    18. 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).
    19. Kang, Jieyi & Reiner, David M., 2022. "What is the effect of weather on household electricity consumption? Empirical evidence from Ireland," Energy Economics, Elsevier, vol. 111(C).
    20. Lin, Boqiang & Li, Zhensheng, 2021. "Does natural gas pricing reform establish an effective mechanism in China: A policy evaluation perspective," Applied Energy, Elsevier, vol. 282(PA).
    21. Wichman, Casey J., 2017. "Information provision and consumer behavior: A natural experiment in billing frequency," Journal of Public Economics, Elsevier, vol. 152(C), pages 13-33.
    22. Hancevic, Pedro Ignacio & Lopez-Aguilar, Javier Alejandro, 2019. "Energy efficiency programs in the context of increasing block tariffs: The case of residential electricity in Mexico," Energy Policy, Elsevier, vol. 131(C), pages 320-331.
    23. Andrew E Clark & Orla Doyle & Elena Stancanelli, 2020. "The Impact of Terrorism on Individual Well-Being: Evidence from the Boston Marathon Bombing," The Economic Journal, Royal Economic Society, vol. 130(631), pages 2065-2104.
    24. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).
    25. 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.
    26. Xunzhou Ma & Dan Wu & Shiqiu Zhang, 2018. "Multiple Goals Dilemma of Residential Water Pricing Policy Reform: Increasing Block Tariffs or a Uniform Tariff with Rebate?," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    27. 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.
    28. Anna Alberini & Olha Khymych & Milan Å Ä asný, 2019. "Response to Extreme Energy Price Changes: Evidence from Ukraine," The Energy Journal, , vol. 40(1), pages 189-212, January.
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