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• W2945452812 startingPage "271" @default.
• W2945452812 abstract "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." @default.
• W2945452812 created "2019-05-29" @default.
• W2945452812 creator A5005726960 @default.
• W2945452812 creator A5018278151 @default.
• W2945452812 creator A5074583908 @default.
• W2945452812 creator A5090726146 @default.
• W2945452812 date "2019-01-01" @default.
• W2945452812 modified "2023-10-11" @default.
• W2945452812 title "The Role of Energy Innovation and Corruption in Carbon Emissions: Evidence Based on the EKC Hypothesis" @default.
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