IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v88y2016icp56-63.html
   My bibliography  Save this article

Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China

Author

Listed:
  • Sun, Chuanwang
  • Ouyang, Xiaoling

Abstract

Urbanization, one of the most obvious characteristics of economic growth in China, has an apparent “lock-in effect” on residential energy consumption pattern. It is expected that residential sector would become a major force that drives China's energy consumption after urbanization process. We estimate price and expenditure elasticities of residential energy demand using data from China's Residential Energy Consumption Survey (CRECS) that covers households at different income levels and from different regional and social groups. Empirical results from the Almost Ideal Demand System model are in accordance with the basic expectations: the demands for electricity, natural gas and transport fuels are inelastic in the residential sector due to the unreasonable pricing mechanism. We further investigate the sensitivities of different income groups to prices of the three types of energy. Policy simulations indicate that rationalizing energy pricing mechanism is an important guarantee for energy sustainable development during urbanization. Finally, we put forward suggestions on energy pricing reform in the residential sector based on characteristics of China's undergoing urbanization process and the current energy consumption situations.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:88:y:2016:i:c:p:56-63
    DOI: 10.1016/j.enpol.2015.10.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421515301403
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2015.10.012?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. Li, Aijun & Du, Nan & Wei, Qian, 2014. "The cross-country implications of alternative climate policies," Energy Policy, Elsevier, vol. 72(C), pages 155-163.
    2. Ernst R. Berndt & G. Campbell Watkins, 1977. "Demand for Natural Gas: Residential and Commercial Markets in Ontario and British Columbia," Canadian Journal of Economics, Canadian Economics Association, vol. 10(1), pages 97-111, February.
    3. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    4. Kevin Maréchal, 2008. "An evolutionary perspective on the economics of energy consumption: the crucial role of habits," Working Papers CEB 08-012.RS, ULB -- Universite Libre de Bruxelles.
    5. S. M. Tinic & B. M. Harnden & C. T. L. Janssen, 1973. "Estimation of Rural Demand for Natural Gas," Management Science, INFORMS, vol. 20(4-Part-II), pages 604-616, December.
    6. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    7. World Bank, 2009. "World Development Indicators 2009," World Bank Publications - Books, The World Bank Group, number 4367, December.
    8. Silvia Tiezzi, 2002. "Environmental defensive expenditures and households behaviour in Italy," Applied Economics, Taylor & Francis Journals, vol. 34(16), pages 2053-2061.
    9. Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
    10. Maréchal, Kevin, 2010. "Not irrational but habitual: The importance of "behavioural lock-in" in energy consumption," Ecological Economics, Elsevier, vol. 69(5), pages 1104-1114, March.
    11. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    12. Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
    13. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    14. Filippini, Massimo, 1995. "Electricity demand by time of use An application of the household AIDS model," Energy Economics, Elsevier, vol. 17(3), pages 197-204, July.
    15. Du, Gang & Sun, Chuanwang & Fang, Zhongnan, 2015. "Evaluating the Atkinson index of household energy consumption in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1080-1087.
    16. Ngui, Dianah & Mutua, John & Osiolo, Hellen & Aligula, Eric, 2011. "Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)," Energy Policy, Elsevier, vol. 39(11), pages 7084-7094.
    17. 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.
    18. Sun, Chuanwang & Lin, Boqiang, 2013. "Reforming residential electricity tariff in China: Block tariffs pricing approach," Energy Policy, Elsevier, vol. 60(C), pages 741-752.
    19. Adriaan Kalwij & Rob Alessie & Peter Fontein, 1998. "Household commodity demand and demographics in the Netherlands: A microeconometric analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 11(4), pages 551-577.
    20. Li, Aijun & Lin, Boqiang, 2013. "Comparing climate policies to reduce carbon emissions in China," Energy Policy, Elsevier, vol. 60(C), pages 667-674.
    21. Wang, Xiaohua & Feng, Zhengmin & Gao, xingfeng & Jiang, Kui, 1999. "On household energy consumption for rural development: a study on Yangzhong county of China," Energy, Elsevier, vol. 24(6), pages 493-500.
    22. Murata, Akinobu & Kondou, Yasuhiko & Hailin, Mu & Weisheng, Zhou, 2008. "Electricity demand in the Chinese urban household-sector," Applied Energy, Elsevier, vol. 85(12), pages 1113-1125, December.
    23. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
    24. Silk, Julian I. & Joutz, Frederick L., 1997. "Short and long-run elasticities in US residential electricity demand: a co-integration approach," Energy Economics, Elsevier, vol. 19(4), pages 493-513, October.
    25. 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.
    26. Catherine Halbrendt & Conrado Gempesaw & Dimphna Dolk-Etz & Francis Tuan, 1994. "Rural Chinese Food Consumption: The Case of Guangdong," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 794-799.
    27. Dianshu, Feng & Sovacool, Benjamin K. & Minh Vu, Khuong, 2010. "The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province," Energy Policy, Elsevier, vol. 38(2), pages 1202-1209, February.
    28. Paltsev, Sergey & Zhang, Danwei, 2015. "Natural gas pricing reform in China: Getting closer to a market system?," Energy Policy, Elsevier, vol. 86(C), pages 43-56.
    29. Gundimeda, Haripriya & Kohlin, Gunnar, 2008. "Fuel demand elasticities for energy and environmental policies: Indian sample survey evidence," Energy Economics, Elsevier, vol. 30(2), pages 517-546, March.
    30. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    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. Athukorala, Wasantha & Wilson, Clevo & Managi, Shunsuke & Karunarathna, Muditha, 2019. "Household demand for electricity: The role of market distortions and prices in competition policy," Energy Policy, Elsevier, vol. 134(C).
    2. Hu, Wenhao & Ho, Mun S. & Cao, Jing, 2019. "Energy consumption of urban households in China," China Economic Review, Elsevier, vol. 58(C).
    3. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    4. 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.
    5. Rosas-Flores, Jorge Alberto, 2017. "Elements for the development of public policies in the residential sector of Mexico based in the Energy Reform and the Energy Transition law," Energy Policy, Elsevier, vol. 104(C), pages 253-264.
    6. 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.
    7. 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).
    8. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    9. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    10. Xie, Lunyu & Yan, Haosheng & Zhang, Shuhan & Wei, Chu, 2020. "Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012," China Economic Review, Elsevier, vol. 59(C).
    11. 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.
    12. Lin, Boqiang & Yang, Fang & Liu, Xia, 2013. "A study of the rebound effect on China's current energy conservation and emissions reduction: Measures and policy choices," Energy, Elsevier, vol. 58(C), pages 330-339.
    13. Jieyi Kang & David Reiner, 2021. "Identifying residential consumption patterns using data-mining techniques: A large-scale study of smart meter data in Chengdu, China," Working Papers EPRG2114, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    14. Li, Jianglong & Li, Aijun & Xie, Xuan, 2018. "Rebound effect of transportation considering additional capital costs and input-output relationships: The role of subsistence consumption and unmet demand," Energy Economics, Elsevier, vol. 74(C), pages 441-455.
    15. 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.
    16. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    17. Li, Mingquan & Shan, Rui & Hernandez, Mauricio & Mallampalli, Varun & Patiño-Echeverri, Dalia, 2019. "Effects of population, urbanization, household size, and income on electric appliance adoption in the Chinese residential sector towards 2050," Applied Energy, Elsevier, vol. 236(C), pages 293-306.
    18. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
    19. Blazquez Leticia & Nina Boogen & Massimo Filippini, 2012. "Residential electricity demand for Spain: new empirical evidence using aggregated data," CEPE Working paper series 12-82, CEPE Center for Energy Policy and Economics, ETH Zurich.
    20. Jing Cao, Mun S. Ho, and Huifang Liang, 2016. "Household energy demand in Urban China: Accounting for regional prices and rapid income change," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).

    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:enepol:v:88:y:2016:i:c:p:56-63. 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/locate/enpol .

    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.