PSYCH OpenIR  > 中国科学院行为科学重点实验室
Can the improvement of individual well-being predict rural residents ‘choice of green cooking energy consumption? -- Evidence from CFPS 2016
Liang,Min1,2; Wang,Shuai1,2; Zhang,Ying3; Pongpiachan,Siwatt4,5; Sun,Yan1,2
AbstractAbstract Based on the data of CFPS2016, this paper used binary Logistic regression model and coefficient of variation weighting method to weight the subjective and objective dimensions of individual well-being, and discussed the impact of subjective and objective well-being of rural residents on green cooking energy consumption. The study found that:(1) The increase of Nagelkerke R2 reached 51.2% after adding the subjective and objective well-being variable, which indicates that well-being is of great significance in explaining rural residents ‘green cooking energy consumption behaviour.(2) The subjective well-being and objective well-being of rural populations have a significant positive predictive role in green cooking energy consumption.(3) The variation coefficient of rural residents’ subjective environmental attitudes is the highest, indicating that there is a large difference in the level of environmental attitudes among rural groups. Subsequent governments should take it as an important point to guide the improvement of the overall level of rural residents’ environmental attitudes.(4) The demographic factors, gender, age and region of rural residents have significant influence on the choice of green cooking energy consumption. The above research is helpful to understand the influencing factors of rural residents’ green cooking energy consumption behaviour from the perspective of consumers, enrich academic literature in related fields, and provide reference for other green energy consumption behaviours of rural residents in China.
2020-03-01
Language英语
DOI10.1088/1755-1315/467/1/012195
Source PublicationIOP Conference Series: Earth and Environmental Science
ISSN1755-1307
Volume467Issue:1
PublisherIOP Publishing
WOS IDIOP:1755-1307-467-1-012195
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/31793
Collection中国科学院行为科学重点实验室
Affiliation1.Key Laboratory of Behavioural Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
2.Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
3.School of Society and Psychology, Central University of Finance and Economics, Beijing, China
4.NIDA Center for Research & Development of Disaster Prevention & Management, School of Social and Environmental Development, National Institute of Development Administration (NIDA), Bangkok, Thailand
5.SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, China
First Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liang,Min,Wang,Shuai,Zhang,Ying,等. Can the improvement of individual well-being predict rural residents ‘choice of green cooking energy consumption? -- Evidence from CFPS 2016[J]. IOP Conference Series: Earth and Environmental Science,2020,467(1).
APA Liang,Min,Wang,Shuai,Zhang,Ying,Pongpiachan,Siwatt,&Sun,Yan.(2020).Can the improvement of individual well-being predict rural residents ‘choice of green cooking energy consumption? -- Evidence from CFPS 2016.IOP Conference Series: Earth and Environmental Science,467(1).
MLA Liang,Min,et al."Can the improvement of individual well-being predict rural residents ‘choice of green cooking energy consumption? -- Evidence from CFPS 2016".IOP Conference Series: Earth and Environmental Science 467.1(2020).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liang,Min]'s Articles
[Wang,Shuai]'s Articles
[Zhang,Ying]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liang,Min]'s Articles
[Wang,Shuai]'s Articles
[Zhang,Ying]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liang,Min]'s Articles
[Wang,Shuai]'s Articles
[Zhang,Ying]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.