兰州大学机构库
The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China
Zhang, Chaoqun1,2; Zha, Donglan1,2; Jiang, Pansong1,2; Wang, Fu1,2; Yang, Guanglei4; Salman, Muhammad3; Wu, Qing1,2
2023-08-01
Online publication date2023-05
Source PublicationTECHNOLOGICAL FORECASTING AND SOCIAL CHANGE   Impact Factor & Quartile
ISSN0040-1625
Volume193
page numbers16
AbstractElectricity savings from information interventions will play a key role in meeting future carbon reductions. Surprisingly, this subject is still poorly studied and understood in China, where residential electricity consumption is second only to manufacturing in terms of carbon emissions. Despite some studies evaluating the impact of information feedback strategies on individual electricity consumption, these studies ignore individual diversity. This study conducted the field experiment in Nanjing, China, with eight treatment and control groups. The aim was to find out whether: i) general and customized information feedback, ii) single and mixed information strategies, and iii) online and offline information delivery methods have an impact on individual electricity savings. Results demonstrated that customized information feedback was the most effective strategy for reducing electricity consumption in single strategies. Energy-saving knowledge, social comparisons, and customized information feedback, except for environmental education-based information, significantly enhanced individual electricity saving behavior. Mixed strategies are superior to single strategies for influencing individual electricity saving behavior. Notably, customized environmental education-based information had a significant electricity saving effect. Furthermore, the offline information delivery method has a stronger effect on reducing individual electricity consumption. These findings can provide a reference for policymakers to implement effective electricity saving policies. © 2023 Elsevier Inc.
KeywordCarbon Electric power utilization Feedback Behavioural intervention strategies Customized information Customized information feedback Electricity saving Electricity saving behavior Electricity-consumption Field experiment Information delivery Information feedback Offline
PublisherElsevier Inc.
DOI10.1016/j.techfore.2023.122602
Indexed ByEI ; SSCI
Language英语
WOS Research AreaBusiness & Economics ; Public Administration
WOS SubjectBusiness ; Regional & Urban Planning
WOS IDWOS:001006095600001
EI Accession Number20231814047863
EI KeywordsEnergy conservation
EI Classification Number525.2 Energy Conservation ; 706.1 Electric Power Systems ; 731.1 Control Systems ; 804 Chemical Products Generally
Original Document TypeJournal article (JA)
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/500939
Collection兰州大学
管理学院
Corresponding AuthorZha, Donglan
Affiliation
1.College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing; 211106, China;
2.Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing; 211106, China;
3.College of Management, China West Normal University, Nanchong; 637001, China;
4.School of Management, Lanzhou University, Lanzhou; 730000, China
Recommended Citation
GB/T 7714
Zhang, Chaoqun,Zha, Donglan,Jiang, Pansong,et al. The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China[J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,2023,193.
APA Zhang, Chaoqun.,Zha, Donglan.,Jiang, Pansong.,Wang, Fu.,Yang, Guanglei.,...&Wu, Qing.(2023).The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,193.
MLA Zhang, Chaoqun,et al."The effect of customized information feedback on individual electricity saving behavior: Evidence from a field experiment in China".TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 193(2023).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Zhang, Chaoqun]'s Articles
[Zha, Donglan]'s Articles
[Jiang, Pansong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Chaoqun]'s Articles
[Zha, Donglan]'s Articles
[Jiang, Pansong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Chaoqun]'s Articles
[Zha, Donglan]'s Articles
[Jiang, Pansong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.