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The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type

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  • Zhang, Junyi
  • Teng, Fei
  • Zhou, Shaojie

Abstract

Understanding the energy use and choice behaviors in urban China is essential to curb its energy consumption and air pollutant emissions. Current energy consumption estimates for urban households in China rarely account for the effects of building types on energy choice behavior, thus may lead to biased policy implications. In this paper, we estimate the determinants of household energy consumption for different energy choice scenarios through the Seemingly Unrelated Regression (SUR) model, using urban household data. The empirical results show that household use of various energy carriers is driven by household income, fuel price, demographics, building attributes and lifestyles. Results show building types have a significant effect on household energy consumption behaviors. Households living in old houses have less access to clean energy, such as piped gas. Income and price elasticities of energy consumption vary with energy type in each scenario, and there exist certain substitution effects among different types of energy carriers. In particular, inter-fuel substitute elasticities between coal and clean energy are asymmetric. Our study highlights the significance of city planning and infrastructure expansion policies and also offers a better basis for coordinating and designing energy policies in urban China and other developing countries.

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  • 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).
  • Handle: RePEc:eee:enepol:v:139:y:2020:i:c:s0301421520300720
    DOI: 10.1016/j.enpol.2020.111314
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    as
    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. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    3. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    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. Hasan, Syed Abul & Mozumder, Pallab, 2017. "Income and energy use in Bangladesh: A household level analysis," Energy Economics, Elsevier, vol. 65(C), pages 115-126.
    6. Kay Cao & Rosalynn Mathews & Summer Wang, 2015. "Modelling Household Energy Consumption Using ABS Survey Data," Economic Papers, The Economic Society of Australia, vol. 34(1-2), pages 36-47, June.
    7. 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).
    8. Poruschi, Lavinia & Ambrey, Christopher L., 2016. "On the confluence of city living, energy saving behaviours and direct residential energy consumption," Environmental Science & Policy, Elsevier, vol. 66(C), pages 334-343.
    9. Bin, Shui & Dowlatabadi, Hadi, 2005. "Corrigendum to "Consumer lifestyles approach to US energy use and the related CO2 emissions": [Energy Policy 33 (2005) 197-208]," Energy Policy, Elsevier, vol. 33(10), pages 1362-1363, July.
    10. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    11. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    12. Bin, Shui & Dowlatabadi, Hadi, 2005. "Consumer lifestyle approach to US energy use and the related CO2 emissions," Energy Policy, Elsevier, vol. 33(2), pages 197-208, January.
    13. Reid Ewing & Fang Rong, 2008. "The impact of urban form on U.S. residential energy use," Housing Policy Debate, Taylor & Francis Journals, vol. 19(1), pages 1-30, January.
    14. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    15. Yabo Zhao & Shaojian Wang, 2015. "The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis," Sustainability, MDPI, vol. 7(5), pages 1-19, May.
    16. Siqi Zheng & Matthew E. Kahn, 2017. "A New Era of Pollution Progress in Urban China?," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 71-92, Winter.
    17. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    18. Lee, Lisa Yu-Ting, 2013. "Household energy mix in Uganda," Energy Economics, Elsevier, vol. 39(C), pages 252-261.
    19. 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.
    20. Longhi, Simonetta, 2015. "Residential energy expenditures and the relevance of changes in household circumstances," Energy Economics, Elsevier, vol. 49(C), pages 440-450.
    21. 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.
    22. Dubin, Jeffrey A & McFadden, Daniel L, 1984. "An Econometric Analysis of Residential Electric Appliance Holdings and Consumption," Econometrica, Econometric Society, vol. 52(2), pages 345-362, March.
    23. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    24. Qi, Ye & Stern, Nicholas & Wu, Tong & Lu, Jiaqi & Green, Fergus, 2016. "China's post-coal growth," LSE Research Online Documents on Economics 67503, London School of Economics and Political Science, LSE Library.
    25. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    26. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    27. 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.
    28. 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.
    29. Rutger Hoekstra, 2005. "Economic Growth, Material Flows and the Environment," Books, Edward Elgar Publishing, number 3700.
    30. Qingsong Wang & Ping Liu & Xueliang Yuan & Xingxing Cheng & Rujian Ma & Ruimin Mu & Jian Zuo, 2015. "Structural Evolution of Household Energy Consumption: A China Study," Sustainability, MDPI, vol. 7(4), pages 1-14, April.
    31. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    32. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    33. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    34. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Energy consumption; Price elasticity; Income elasticity; Substitution effect; Building types; SUR model;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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