Understanding household electricity-saving behavior: Exploring the effects of perception and cognition factors

被引:48
作者
Fu, Weizhong [1 ,2 ]
Zhou, Yang [1 ]
Li, Lanlan [1 ,2 ]
Yang, Ranran [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China
[2] Hefei Univ Technol, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei, Peoples R China
基金
中国国家自然科学基金;
关键词
Positive and negative perception; Cognition factors; Electricity-saving intention and behavior; Theory of planned behavior; Norm activation model; ENERGY-CONSUMPTION BEHAVIOR; PRO-ENVIRONMENTAL BEHAVIOR; PLANNED BEHAVIOR; POLICY IMPLICATIONS; EXTENDED THEORY; PLS-SEM; CHINA; INTENTION; URBAN; NORM;
D O I
10.1016/j.spc.2021.03.035
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on a model that generates the theory of planned behavior (TPB) and the norm activation model (NAM), this study aimed to determine how positive and negative perceptions affect people's willingness to save electricity. It also verified the moderating effect of cognition of price and subsidy policies on residents' electricity-saving intentions and behaviors. An empirical test was conducted using data on 658 urban residents in the Yangtze River Delta. The results indicated that perceived monetary benefit and perceived environmental benefit both positively affect residents' willingness to save electricity, but that the effect of perceived inconvenience is significantly negative. Residents' cognition of electricity price and subsidy policies exerts a prominent positive moderating effect between electricity-saving intentions and behaviors. In addition, perceived behavioral control and personal moral norms indirectly affect electricity-saving behaviors by affecting intentions. Finally, relevant policy recommendations for promoting energy conservation and emissions reduction in households are proposed. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:116 / 128
页数:13
相关论文
共 88 条
[81]   Self-determination theory and consumer behavioural change: Evidence from a household energy-saving behaviour study [J].
Webb, Dave ;
Soutar, Geoffrey N. ;
Mazzarol, Tim ;
Saldaris, Patricia .
JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, 2013, 35 :59-66
[82]   Does changing behavioral intentions engender bahaviour change? A meta-analysis of the experimental evidence [J].
Webb, TL ;
Sheeran, P .
PSYCHOLOGICAL BULLETIN, 2006, 132 (02) :249-268
[83]  
Yi Y., 1988, J ACAD MARKET SCI, V16, P74, DOI [https://doi.org/10.1007/BF02723327, DOI 10.1007/BF02723327, 10.1177/009207038801600107, 10.1007/BF02723327]
[84]   Identifying electricity-saving potential in rural China: Empirical evidence from a household survey [J].
Yu, Yihua ;
Guo, Jin .
ENERGY POLICY, 2016, 94 :1-9
[85]   Impact of tiered pricing system on China's urban residential electricity consumption: Survey evidences from 14 cities in Guangxi Province [J].
Zhang, Shanshan ;
Lin, Boqiang .
JOURNAL OF CLEANER PRODUCTION, 2018, 170 :1404-1412
[86]   The impact of government policy on preference for NEVs: The evidence from China [J].
Zhang, Xian ;
Wang, Ke ;
Hao, Yu ;
Fan, Jing-Li ;
Wei, Yi-Ming .
ENERGY POLICY, 2013, 61 :382-393
[87]   Understanding household energy consumption behavior: The contribution of energy big data analytics [J].
Zhou, Kaile ;
Yang, Shanlin .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 :810-819
[88]   Estimation of urban residential electricity demand in, China using household survey data [J].
Zhou, Shaojie ;
Teng, Fei .
ENERGY POLICY, 2013, 61 :394-402