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
CLIMATE POLICY UNDER GEOPOLITICAL UNCERTAINTY: A QUANTITATIVE APPROACH
Linköping University, Department of Management and Engineering.
Linköping University, Department of Management and Engineering.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesisAlternative title
Klimatpolicy och Geopolitisk Osäkerhet : En Kvantitativ Ansats (Swedish)
Abstract [en]

The drivers of CO2 emissions are a widely studied subject of great importance to both individual countries and the global community. However, the inclusion of a quantitative measure of political uncertainty, national and global, has until now been largely overlooked. We investigate how geopolitical uncertainty (GPU) and income interact with CO2 emissions using a panel quantile regression approach for a set of 63 nations over the period 1985-2014. Our key findings are; (i) a consistent negative (positive) relation between global (local) uncertainty and the different CO2 emission distribution levels, (ii) the relation between uncertainty and emissions is heterogeneous across different income groups, (iii) clear and consistent evidence for the Environmental Kuztnet Curve hypothesis with respect to uncertainty, (iiii) when deciding on environmental policy, it is of great importance to consider political uncertainty and whether to use a local or global measure.

Place, publisher, year, edition, pages
2017. , p. 56
Keywords [en]
Geopolitics, climate change, political uncertainty, EKC, quantile regression, panel data, democracy, institutions, oil price, financial openness, trade
National Category
Economics
Identifiers
URN: urn:nbn:se:liu:diva-139701ISRN: LIU-IEI-FIL-A--17/02589--SEOAI: oai:DiVA.org:liu-139701DiVA, id: diva2:1130848
Subject / course
Master Thesis in Economics
Presentation
2017-06-02, 11:19 (English)
Supervisors
Examiners
Available from: 2017-08-30 Created: 2017-08-11 Last updated: 2017-08-30Bibliographically approved

Open Access in DiVA

fulltext(1565 kB)79 downloads
File information
File name FULLTEXT01.pdfFile size 1565 kBChecksum SHA-512
0669a093f3cbbfb9e7165663d1a7482f6bc85042a3dbbe024a0520505fdd01dfaff31e35fbda153b44c9ff98d84b54f44f2ecd95090e6f3039151457bdb63522
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Dahlström, AmandaEge, Oskar
By organisation
Department of Management and Engineering
Economics

Search outside of DiVA

GoogleGoogle Scholar
Total: 79 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

urn-nbn

Altmetric score

urn-nbn
Total: 149 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