The Role of Energy Innovation and Corruption in Carbon Emissions: Evidence Based on the EKC Hypothesis
Version 2 2024-03-12, 18:23Version 2 2024-03-12, 18:23
Version 1 2023-10-19, 16:09Version 1 2023-10-19, 16:09
journal contribution
posted on 2024-03-12, 18:23 authored by D. Balsalobre-Lorente, M. Shahbaz, Charbel Jose Chiappetta Jabbour, O.M. Driha<p>This study investigates how energy innovations and corruption affect carbon emissions. To this end, a panel data model of 16 selected OECD countries is employed, spanning the period of 1995–2016. The empirical framework falls within the hypothesis of the environmental Kuznets curve (EKC), which explores the relationship between the economic growth and carbon emissions. The empirical results show that when economic systems interact with corruption, positive effects that energy innovations have on environmental quality are reduced. Furthermore, the amount of economic growth needed to limit environmental pollution levels is also distorted. Corruption seems to be pernicious for the environment in the long term, as it limits the stage at which decontamination occurs; i.e., corruption reduces the positive effect generated by measures focused on energy innovation in terms of reducing environmental pollution. These findings are expected to be significant in terms of implementing anti-corruption measures and effective environmental policies, and they call for appropriate policy measures that might limit the effects of corruption on environmental quality. © 2019, Springer Nature Switzerland AG.</p>
History
School affiliated with
- Lincoln International Business School Executive Office (Research Outputs)
Publication Title
Green Energy and TechnologyPages/Article Number
271-304Publisher
Springer VerlagExternal DOI
ISSN
1865-3529Date Submitted
2020-01-20Date Accepted
2019-01-01Date of First Publication
2019-01-01Date of Final Publication
2019-01-01ePrints ID
39687Usage metrics
Categories
No categories selectedLicence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC


