中文版 | English
Title

The influencing factors of CO2 emissions and the adoption of eco-innovation across G-7 economies: A novel hybrid mathematical and statistical approach

Author
Corresponding AuthorRehman, Shazia
Publication Years
2022-09-29
DOI
Source Title
EISSN
2296-665X
Volume10
Abstract
The present study empirically analyzes the role of eco-innovation in plummeting carbon dioxide (CO 2 ) emissions in conjunction with renewable energy usage, foreign direct investment, and trade openness for the states in G-7 from 1990 to 2019 in a mathematical and statistical context. Under the dynamical framework, the estimates of mathematical grey relational analyses indicate that eco-innovation holds a stronger degree of association with CO 2 emissions. Further, the estimates demonstrate that, compared to the other G-7 states, Japan is the country where eco-innovation is a more striking variable. However, renewable energy utilization seems weaker in Japan, which necessitates adopting renewable energy to curb carbon emissions in the region. Statistically, the odds ratio illustrates a similar pattern, demonstrating that the odds of occurrence for eco-innovation are much stronger in reducing the rising levels of carbon emissions within the G-7 states. Moreover, trade openness and foreign direct investment were revealed to be the leading contributors to carbon emissions in Germany and Canada, respectively, whilst appearing to be significant variables in lowering emissions in the United States and the United Kingdom. The outcomes of this investigation offer significant perspectives for policymakers in formulating holistic and environmentally friendly policies by embracing eco-innovation as a potentially significant component for sustainable economic expansion and environmental health.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
WOS Research Area
Environmental Sciences & Ecology
WOS Subject
Environmental Sciences
WOS Accession No
WOS:000868652600001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406864
DepartmentShenzhen People's Hospital
Affiliation
1.Shandong Univ Finance & Econ, Sch Econ, Jinan, Peoples R China
2.Nazarbayev Univ, Dept Math, Nur Sultan, Kazakhstan
3.Inst Appl Sci & Technol, Dept Biomed Sci, Haripur, Pakistan
4.Hangzhou Normal Univ, Sch Publ Adm, Hangzhou, Peoples R China
5.Southern Univ Sci & Technol, Jinan Univ, Shenzhen Peoples Hosp, Affiliated Hosp 1,Dept Dematol,Clin Med Coll 2, Shenzhen, Peoples R China
6.Candidate Branch Natl Clin Res Ctr Skin Dis, Shenzhen, Peoples R China
7.Rawalpindi Med Univ, Benazir Bhutto Hosp, Dept Urol & Renal Transplantat, Rawalpindi, Pakistan
Recommended Citation
GB/T 7714
Rehman, Erum,Rehman, Shazia,Mumtaz, Ayesha,et al. The influencing factors of CO2 emissions and the adoption of eco-innovation across G-7 economies: A novel hybrid mathematical and statistical approach[J]. FRONTIERS IN ENVIRONMENTAL SCIENCE,2022,10.
APA
Rehman, Erum,Rehman, Shazia,Mumtaz, Ayesha,Zhang, Jianglin,&Shahiman, Muhammad Ali.(2022).The influencing factors of CO2 emissions and the adoption of eco-innovation across G-7 economies: A novel hybrid mathematical and statistical approach.FRONTIERS IN ENVIRONMENTAL SCIENCE,10.
MLA
Rehman, Erum,et al."The influencing factors of CO2 emissions and the adoption of eco-innovation across G-7 economies: A novel hybrid mathematical and statistical approach".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Rehman, Erum]'s Articles
[Rehman, Shazia]'s Articles
[Mumtaz, Ayesha]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Rehman, Erum]'s Articles
[Rehman, Shazia]'s Articles
[Mumtaz, Ayesha]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Rehman, Erum]'s Articles
[Rehman, Shazia]'s Articles
[Mumtaz, Ayesha]'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.