Abstract
As a major composition of the total carbon emission in China, the carbon emissions from residential electricity consumption continue to grow. Residential electricity conservation has special significance for carbon emission reduction. Therefore, it is necessary to study the determinants of residential electricity conservation behaviors. Based on data from survey questions, this article analyzed the determinants of electricity saving behaviors by means of multivariate regression model, and assessed residential electricity conservation potential under four price intervention experiments. The results show that family income, geographic features show significant influences towards resident electricity conservation behaviors. The groups with higher income lack control over the electricity consumption. In this case, citizens in Beijing and Guiyang show higher awareness to save energy than those in Guangzhou and Hangzhou. Also, confronting electricity price increase, residents’ energy-saving potential are higher along with price adjustments. When the electricity price rises by 0.05 CNY, 0.1 CNY, 0.2 CNY, and 0.5 CNY, residents are willing to reduce electricity consumption by 4.36, 8.33, 13.39 and 21.04%, respectively. Based on these findings, this paper indicates that it is effective to expand ladder price differences across different income groups which can better meet the overall demand for electricity.
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References
Borgstede, C., Andersson, M., Johnsson, F.: Public attitudes to climate change and carbon mitigation-Implications for energy-associated behaviours. Energy Policy 57, 182–193 (2013)
Craig, C.A., Feng, S.: Exploring utility organization electricity generation residential electricity consumption and energy efficiency: a climatic approach. Appl. Energy 185((Part 1)), 779–790 (2017)
Ek, K., Soderholm, P.: The devil is in the details: Household electricity saving behavior and the role of information. Energy Policy 38(3), 1578–1587 (2010)
Faruqui, A., Sergici, S., Sharif, A.: The impact of informational feedback on energy consumption-a survey of the experimental evidence. Energy 35(4), 1598–1608 (2010)
International Energy Agency (IEA): CO2 Emissions from Fuel Combustion 2016. OECD Publishing, Paris. (2016). https://doi.org/10.1787/co2_fuel-2016-en,lastaccessed2020/8/30
International Energy Agency (IEA): Global Energy and CO2 Status Report 2019, IEA, Paris (2019). https://www.iea.org/reports/global-energy-and-co2-status-report-2019. Last Accessed 30 Aug 2020
Kavousian, A., Rajagopal, R., Fischer, M.: Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics appliance stock and occupants’ behavior. Energy 55(15), 184–194 (2013)
Liu, C., Lin, B.Q.: Is increasing-block electricity pricing effectively carried out in China? a case study in Shanghai and Shenzhen. Energy Policy 138, 111278 (2020)
Ma, G., Andrews, S.P., Zhang, J.D.: Chinese consumer attitudes towards energy saving: The case of household electrical appliances in Chongqing. Energy Policy 56, 591–602 (2013)
National Bureau of Statistics (NBS): China Statistical Yearbook. Chinese Statistics Press, Beijing (2015). https://www.stats.gov.cn/tjsj/ndsj/2015/indexch.htm. Last Accessed 30 Aug 2020
National Bureau of Statistics (NBS). China Energy Statistical Yearbook. Chinese Statistics Press, Beijing (2018). https://www.stats.gov.cn/tjsj/ndsj/2018/indexch.htm. Last Accessed 30 Aug 2020
Niu, S.W., Jia, Y.Q., Ye, L.Q., Dai, R.Q., Li, N.: Does electricity consumption improve residential living status in less developed regions? an empirical analysis using the quantile regression approach. Energy 95, 550–560 (2016)
Wang, B., Wang, X.M., Guo, D.X., Zhang, B., Wang, Z.H.: Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism? Energy Policy 116, 68–77 (2018)
Wang, C., Zhou, K., Yang, S.L.: A review of residential tiered electricity pricing in China. Renew. Sustain. Energy Rev. 79, 533–543 (2017)
Wang, Z., Zhao, D.T., Yu, W.T.: Research on the driving forces of the increase in inbuilt emission of Carbon in the consumption of Chinese residents. Forum Sci. Technol. China 7, 56–62 (2012)
Wang, Z.H., Zhang, B., Yin, J.H., Zhang, Y.X.: Determinants and policy implications for household electricity-saving behavior: evidence from Beijing China. Energy Policy 39(6), 3550–3557 (2011)
Zhang, C.Y., Yu, B.Y., Wang, J.W., Wei, Y.M.: Impact factors of household energy-saving behavior: an empirical study of Shandong province in China. J. Clean. Prod. 185, 285–298 (2018)
Zhang, Y.J., Peng, H.R.: Exploring the direct rebound effect of residential electricity consumption: an empirical study in China. Appl. Energy 196, 132–141 (2017)
Zheng, X.Y., Wei, C., Qin, P., Guo, J., Yu, Y.H., Song. F., Chen, Z.M: Characteristics of residential energy consumption in China: findings from a household survey. Energy Policy 75, 126–135 (2014)
Zhou, S.J., Teng, F.: Estimation of urban residential electricity demand in China using household survey data. Energy Policy 61, 394–402 (2013)
Zhu, Z., Shen, Y.Q., Huang, M.: Empirical analysis of residential low-carbon consuming behavior and driving forces of carbon emissions-investigation based on Hangzhou. Resour. Dev. Mark. 27(09), 831–834 (2011)
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Shu, C., Xu, F., Xiang, N. (2020). Research on Determinants of Urban Residential Electricity Conservation Behaviors Based on Intervention Experiment -the Evidence from Household Survey of 4 megacities in China. In: Chan, F.K.S., Chan, H.K., Zhang, T., Xu, M. (eds) Proceedings of the 2020 International Conference on Resource Sustainability: Sustainable Urbanisation in the BRI Era (icRS Urbanisation 2020). icRSUrbanisation 2020. Environmental Science and Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-9605-6_15
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DOI: https://doi.org/10.1007/978-981-15-9605-6_15
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