liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The N-shaped environmental Kuznets curve: an empirical evaluation using a panel quantile regression approach
Linköping University, Department of Management and Engineering. Linköping University, Faculty of Arts and Sciences.
Swedish Natl Rd and Transport Res Inst, Sweden.
Linköping University, Department of Management and Engineering, Economics. Linköping University, Faculty of Arts and Sciences.
Linköping University, Department of Management and Engineering, Economics. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0002-1798-8284
2018 (English)In: Environmental science and pollution research international, ISSN 0944-1344, E-ISSN 1614-7499, Vol. 25, no 6, p. 5848-5861Article in journal (Refereed) Published
Abstract [en]

We evaluate the N-shaped environmental Kuznets curve (EKC) using panel quantile regression analysis. We investigate the relationship between CO2 emissions and GDP per capita for 74 countries over the period of 1994-2012. We include additional explanatory variables, such as renewable energy consumption, technological development, trade, and institutional quality. We find evidence for the N-shaped EKC in all income groups, except for the upper-middle-income countries. Heterogeneous characteristics are, however, observed over the N-shaped EKC. Finally, we find a negative relationship between renewable energy consumption and CO2 emissions, which highlights the importance of promoting greener energy in order to combat global warming.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG , 2018. Vol. 25, no 6, p. 5848-5861
Keywords [en]
CO2 emissions; Renewable energy; Trade; Institutions; Quantile regressions
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:liu:diva-145783DOI: 10.1007/s11356-017-0907-0ISI: 000425971700072PubMedID: 29235026OAI: oai:DiVA.org:liu-145783DiVA, id: diva2:1192412
Note

Funding Agencies|Jan Wallander Foundation; Tom Hedelius Foundation

Available from: 2018-03-22 Created: 2018-03-22 Last updated: 2018-04-13

Open Access in DiVA

fulltext(522 kB)111 downloads
File information
File name FULLTEXT01.pdfFile size 522 kBChecksum SHA-512
4bd932356d16ffc60aff9c4b6eb8b0d34d5fb413509d928d02efbcb873ef3212c65addb9e2fad1372cd9922d5e9eac5990dbea1e8a83ac7cd9a3ce605afd9de4
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Allard, AlexandraUddin, Gazi SalahAhmed, Ali
By organisation
Department of Management and EngineeringFaculty of Arts and SciencesEconomics
In the same journal
Environmental science and pollution research international
Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 111 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 435 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf