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Investigating the residential energy consumption behaviors in Beijing: a survey study

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  • Lan-Cui Liu
  • Gang Wu
  • Yue-Jun Zhang

Abstract

This paper investigates the residents’ direct and indirect energy consumption behaviors in Beijing, as well as the impact of age, educational background and income level on the behaviors. The results show that, first, there are a high proportion of residents who may support the policies and activities about consumption behaviors adjustment towards energy-saving and low-carbon pattern, but currently the residents’ awareness and behaviors are still not desirable. Second, the promotion of energy-saving appliance is effective to drive the energy conservation and emission reductions, and the current energy prices are higher but not effective to curb energy consumption and carbon emissions. Third, the direct energy consumption behaviors of older respondents and those with higher education background and income level generally tend to be more energy conservative than the younger respondents and other education and income level groups. The survey results may provide significant policy implications for the government and energy-saving product suppliers. Copyright Springer Science+Business Media Dordrecht 2015

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  • Lan-Cui Liu & Gang Wu & Yue-Jun Zhang, 2015. "Investigating the residential energy consumption behaviors in Beijing: a survey study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 243-263, January.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:1:p:243-263
    DOI: 10.1007/s11069-014-1317-y
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    1. Wang, Zhaohua & Zhang, Bin & Yin, Jianhua & Zhang, Yixiang, 2011. "Determinants and policy implications for household electricity-saving behaviour: Evidence from Beijing, China," Energy Policy, Elsevier, vol. 39(6), pages 3550-3557, June.
    2. Vringer, Kees & Blok, Kornelis, 1995. "The direct and indirect energy requirements of households in the Netherlands," Energy Policy, Elsevier, vol. 23(10), pages 893-910, October.
    3. Valenzuela, Carlos & Valencia, Alelhie & White, Steve & Jordan, Jeffrey A. & Cano, Stephanie & Keating, Jerome & Nagorski, John & Potter, Lloyd B., 2014. "An analysis of monthly household energy consumption among single-family residences in Texas, 2010," Energy Policy, Elsevier, vol. 69(C), pages 263-272.
    4. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    5. Ekholm, Tommi & Krey, Volker & Pachauri, Shonali & Riahi, Keywan, 2010. "Determinants of household energy consumption in India," Energy Policy, Elsevier, vol. 38(10), pages 5696-5707, October.
    6. 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.
    7. Reinders, A. H. M. E. & Vringer, K. & Blok, K., 2003. "The direct and indirect energy requirement of households in the European Union," Energy Policy, Elsevier, vol. 31(2), pages 139-153, January.
    8. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2011. "Representing in-home and out-of-home energy consumption behavior in Beijing," Energy Policy, Elsevier, vol. 39(7), pages 4168-4177, July.
    9. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: evidence from the PDA approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 1109-1122, October.
    10. Zhu, Hang & Brambley, Michael R. & Morgan, Robert P., 1983. "Household energy consumption in the People's Republic of China," Energy, Elsevier, vol. 8(10), pages 763-774.
    11. Sanchez-Choliz, Julio & Duarte, Rosa & Mainar, Alfredo, 2007. "Environmental impact of household activity in Spain," Ecological Economics, Elsevier, vol. 62(2), pages 308-318, April.
    12. Cayla, Jean-Michel & Maizi, Nadia & Marchand, Christophe, 2011. "The role of income in energy consumption behaviour: Evidence from French households data," Energy Policy, Elsevier, vol. 39(12), pages 7874-7883.
    13. Zhang, Yue-Jun, 2011. "The impact of financial development on carbon emissions: An empirical analysis in China," Energy Policy, Elsevier, vol. 39(4), pages 2197-2203, April.
    14. Park, Hi-Chun & Heo, Eunnyeong, 2007. "The direct and indirect household energy requirements in the Republic of Korea from 1980 to 2000--An input-output analysis," Energy Policy, Elsevier, vol. 35(5), pages 2839-2851, May.
    15. Cohen, Claude & Lenzen, Manfred & Schaeffer, Roberto, 2005. "Energy requirements of households in Brazil," Energy Policy, Elsevier, vol. 33(4), pages 555-562, March.
    16. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Niu, Yunzhu, 2012. "Variations in energy consumption and survival status between rural and urban households: A case study of the Western Loess Plateau, China," Energy Policy, Elsevier, vol. 49(C), pages 515-527.
    17. Song, Nianfu & Aguilar, Francisco X. & Shifley, Stephen R. & Goerndt, Michael E., 2012. "Factors affecting wood energy consumption by U.S. households," Energy Economics, Elsevier, vol. 34(2), pages 389-397.
    18. 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.
    19. Golley, Jane & Meng, Xin, 2012. "Income inequality and carbon dioxide emissions: The case of Chinese urban households," Energy Economics, Elsevier, vol. 34(6), pages 1864-1872.
    20. Qiu, Daxiong & Ma, Yuqing & Lu, Yingyun & Wang, Qizhi & Zhu, Zhuliang, 1994. "Household energy consumption in Beijing and Nanning, China," Energy, Elsevier, vol. 19(5), pages 529-538.
    21. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 579-595, September.
    22. Pachauri, Shonali & Spreng, Daniel, 2002. "Direct and indirect energy requirements of households in India," Energy Policy, Elsevier, vol. 30(6), pages 511-523, May.
    23. Hojjati, Behjat & Wade, Steven H., 2012. "U.S. household energy consumption and intensity trends: A decomposition approach," Energy Policy, Elsevier, vol. 48(C), pages 304-314.
    24. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
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