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Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012

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  • Xie, Lunyu
  • Yan, Haosheng
  • Zhang, Shuhan
  • Wei, Chu

Abstract

China's rapid urbanization and increasing energy use are accompanied by deteriorating environmental quality. Understanding the structure of energy use is necessary to address these environmental effects. We investigate how urbanization affects residential energy use, using data from the Chinese Residential Energy Consumption Survey 2012 (CRECS 2012). By comparing the energy consumption of urban and rural households and identifying the factors influencing the differences, we find that dwelling characteristics (e.g., building infrastructure, residential area), household characteristics (e.g., household size, income), and unobservable factors (e.g., the surrounding environment, living habits) all play roles in shaping residential energy consumption. Urbanization directly decreases energy consumption through differences in the environment outside the household (markets, infrastructure, etc.), while it indirectly increases consumption through the presence of central heating, decreased household size, and increased household income. We find a positive total effect: urbanization increases residential energy consumption in total. We also find that urbanization shifts energy consumption away from coal and toward electricity and gas. In addition, we distinguish between onsite urbanization (formation of towns based on rural markets) and offsite urbanization (movement to large cities). Compared to onsite urbanization, offsite urbanization shifts energy consumption toward electricity and gas by a larger magnitude. Finally, we project residential energy use in 2020.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:chieco:v:59:y:2020:i:c:s1043951x1930135x
    DOI: 10.1016/j.chieco.2019.101374
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    1. 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.
    2. Jones, Donald W., 1991. "How urbanization affects energy-use in developing countries," Energy Policy, Elsevier, vol. 19(7), pages 621-630, September.
    3. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    4. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    5. Poumanyvong, Phetkeo & Kaneko, Shinji & Dhakal, Shobhakar, 2012. "Impacts of urbanization on national transport and road energy use: Evidence from low, middle and high income countries," Energy Policy, Elsevier, vol. 46(C), pages 268-277.
    6. Roberta Capello & Roberto Camagni, 2000. "Beyond Optimal City Size: An Evaluation of Alternative Urban Growth Patterns," Urban Studies, Urban Studies Journal Limited, vol. 37(9), pages 1479-1496, August.
    7. 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.
    8. Ironmonger, D S & Aitken, C K & Erbas, B, 1995. "Economies of scale in energy use in adult-only households," Energy Economics, Elsevier, vol. 17(4), pages 301-310, October.
    9. Mishra, Vinod & Smyth, Russell & Sharma, Susan, 2009. "The energy-GDP nexus: Evidence from a panel of Pacific Island countries," Resource and Energy Economics, Elsevier, vol. 31(3), pages 210-220, August.
    10. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    11. Sardianou, Eleni, 2007. "Estimating energy conservation patterns of Greek households," Energy Policy, Elsevier, vol. 35(7), pages 3778-3791, July.
    12. 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.
    13. Wang, Xiaohua & Feng, Zhenmin, 2003. "Energy consumption with sustainable development in developing country: a case in Jiangsu, China," Energy Policy, Elsevier, vol. 31(15), pages 1679-1684, December.
    14. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.
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    More about this item

    Keywords

    Coal; Electricity; Gas; Residential energy use; Urbanization;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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