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Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China

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  • Lin, Boqiang
  • Wang, Yao

Abstract

The rapid and massive process of urbanization in China has made the energy consumption of the residential sector an important motivator in national energy consumption. As the most important part of household energy consumption, electricity and its demand-side management play fundamental roles when exploring the methods of energy reform in China. Based on the framework of household production theory, this paper estimates the elasticities of Chinese residential electricity from 2006 to 2016 by using the data of 286 cities, and the first difference generalized method of moment estimator is employed. The results show that the demand for residential electricity is inelastic to price and is mainly affected by total expenditure, price of appliance and temperature. We also find that factors impacting electricity consumption vary among regions, and the demand is elastic to price change with the samples of the lowest domestic product. With the elasticity we estimated, a Ramsey tariff is calculated and compared with the current tariff, and the subsidy for residential electricity consumption is also analyzed. Based on the results, we propose to raise the price appropriately, and suggest the implementation of diversified pricing schemes according to regional characteristics to control the consumption by realizing the price mechanism, and to promote energy-saving and emission reduction in the residential sector.

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  • 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.
  • Handle: RePEc:eee:reveco:v:67:y:2020:i:c:p:189-206
    DOI: 10.1016/j.iref.2020.01.005
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    as
    1. Fu, Xin & Zeng, Xiao-Jun & Feng, Pengpeng & Cai, Xiuwen, 2018. "Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China," Energy, Elsevier, vol. 165(PB), pages 76-89.
    2. González-Eguino, Mikel, 2015. "Energy poverty: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 377-385.
    3. Alberini, Anna & Filippini, Massimo, 2011. "Response of residential electricity demand to price: The effect of measurement error," Energy Economics, Elsevier, vol. 33(5), pages 889-895, September.
    4. Kung, Chih-Chun & Zhang, Ning & Choi, Yongrok & Xiong, Kai & Yu, Jiangli, 2019. "Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: A stochastic analysis under uncertain climate impacts," Energy Policy, Elsevier, vol. 125(C), pages 267-276.
    5. Dilaver, Zafer & Hunt, Lester C, 2011. "Modelling and forecasting Turkish residential electricity demand," Energy Policy, Elsevier, vol. 39(6), pages 3117-3127, June.
    6. 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.
    7. Lin, Boqiang & Jiang, Zhujun, 2011. "Estimates of energy subsidies in China and impact of energy subsidy reform," Energy Economics, Elsevier, vol. 33(2), pages 273-283, March.
    8. Nahata, Babu & Izyumov, Alexei & Busygin, Vladimir & Mishura, Anna, 2007. "Application of Ramsey model in transition economy: A Russian case study," Energy Economics, Elsevier, vol. 29(1), pages 105-125, January.
    9. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    10. Ye, Yuxiang & Koch, Steven F. & Zhang, Jiangfeng, 2018. "Determinants of household electricity consumption in South Africa," Energy Economics, Elsevier, vol. 75(C), pages 120-133.
    11. Burke, Paul J. & Kurniawati, Sandra, 2018. "Electricity subsidy reform in Indonesia: Demand-side effects on electricity use," Energy Policy, Elsevier, vol. 116(C), pages 410-421.
    12. 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.
    13. 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.
    14. Nakajima, Tadahiro & Hamori, Shigeyuki, 2010. "Change in consumer sensitivity to electricity prices in response to retail deregulation: A panel empirical analysis of the residential demand for electricity in the United States," Energy Policy, Elsevier, vol. 38(5), pages 2470-2476, May.
    15. Silva, Susana & Soares, Isabel & Pinho, Carlos, 2017. "Electricity demand response to price changes: The Portuguese case taking into account income differences," Energy Economics, Elsevier, vol. 65(C), pages 335-342.
    16. Paul J. Burke and Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    17. Dorothee Charlier and Sondes Kahouli, 2019. "From Residential Energy Demand to Fuel Poverty: Income-induced Non-linearities in the Reactions of Households to Energy Price Fluctuations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    18. 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.
    19. 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.
    20. Qiang Ji & Jianping Li & Xiaolei Sun, 2019. "New Challenge and Research Development in Global Energy Financialization," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(12), pages 2669-2672, September.
    21. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Estimation of Japanese price elasticities of residential electricity demand, 1990–2007," Energy Economics, Elsevier, vol. 40(C), pages 433-440.
    22. Lin, Boqiang & Du, Zhili, 2015. "How China׳s urbanization impacts transport energy consumption in the face of income disparity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1693-1701.
    23. Flaig, Gebhard, 1990. "Household production and the short- and long-run demand for electricity," Energy Economics, Elsevier, vol. 12(2), pages 116-121, April.
    24. Elliott, Robert & Sun, Puyang & Zhu, Tong, 2019. "Electricity prices and industry switching: Evidence from Chinese manufacturing firms," Energy Economics, Elsevier, vol. 78(C), pages 567-588.
    25. Lucia, Julio J. & Torró, Hipòlit, 2011. "On the risk premium in Nordic electricity futures prices," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 750-763, October.
    26. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    27. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2012. "Estimation of elasticity price of electricity with incomplete information," Energy Economics, Elsevier, vol. 34(3), pages 627-633.
    28. John M. Piotrowski & David Coady & Justin Tyson & Rolando Ossowski & Robert Gillingham & Shamsuddin Tareq, 2010. "Petroleum Product Subsidies; Costly, Inequitable, and On the Rise," IMF Staff Position Notes 2010/05, International Monetary Fund.
    29. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    30. Wang, Zhaohua & Wang, Xiaomeng & Guo, Dongxue, 2017. "Policy implications of the purchasing intentions towards energy-efficient appliances among China’s urban residents: Do subsidies work?," Energy Policy, Elsevier, vol. 102(C), pages 430-439.
    31. Kazuhiko Hayakawa, 2008. "On the Effect of Nonstationary Initial Conditions in Dynamic Panel Data Models," Hi-Stat Discussion Paper Series d07-245, Institute of Economic Research, Hitotsubashi University.
    32. 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.
    33. Cialani, Catia & Mortazavi, Reza, 2018. "Household and industrial electricity demand in Europe," Energy Policy, Elsevier, vol. 122(C), pages 592-600.
    34. Hayakawa, Kazuhiko, 2009. "On the effect of mean-nonstationarity in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 153(2), pages 133-135, December.
    35. Burillo, Daniel & Chester, Mikhail V. & Pincetl, Stephanie & Fournier, Eric D. & Reyna, Janet, 2019. "Forecasting peak electricity demand for Los Angeles considering higher air temperatures due to climate change," Applied Energy, Elsevier, vol. 236(C), pages 1-9.
    36. 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.
    37. Miller, Mark & Alberini, Anna, 2016. "Sensitivity of price elasticity of demand to aggregation, unobserved heterogeneity, price trends, and price endogeneity: Evidence from U.S. Data," Energy Policy, Elsevier, vol. 97(C), pages 235-249.
    38. Massimo Filippini, 1999. "Swiss residential demand for electricity," Applied Economics Letters, Taylor & Francis Journals, vol. 6(8), pages 533-538.
    39. Lee, Chien-Chiang & Chiu, Yi-Bin, 2013. "Modeling OECD energy demand: An international panel smooth transition error-correction model," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 372-383.
    40. Vesterberg, Mattias, 2016. "The hourly income elasticity of electricity," Energy Economics, Elsevier, vol. 59(C), pages 188-197.
    41. 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.
    42. Borozan, Djula, 2018. "Regional-level household energy consumption determinants: The european perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 347-355.
    43. Campbell, Alrick, 2018. "Price and income elasticities of electricity demand: Evidence from Jamaica," Energy Economics, Elsevier, vol. 69(C), pages 19-32.
    44. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    45. 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.
    46. Sueyoshi, Toshiyuki, 2010. "An agent-based approach with collaboration among agents: Estimation of wholesale electricity price on PJM and artificial data generated by a mean reverting model," Energy Economics, Elsevier, vol. 32(5), pages 1025-1033, September.
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