Relationship between CO2 emissions, technological innovation, and energy intensity: Moderating effects of economic and political uncertainty

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021285" target="_blank" >RIV/62690094:18450/24:50021285 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0959652624003512?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0959652624003512?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jclepro.2024.140904" target="_blank" >10.1016/j.jclepro.2024.140904</a>

Result language
angličtina
Original language name
Relationship between CO2 emissions, technological innovation, and energy intensity: Moderating effects of economic and political uncertainty
Original language description
This study investigates the direct and interactive effects of economic and political uncertainty on two determinants of CO2 emissions using the environmental Kuznets curve (EKC) framework. A panel data of 58 countries from 2000 to 2020 was used. The study employed econometric techniques that effectively account for cross-sectional dependence and endogeneity. The analysis revealed a direct negative and statistically significant impact of uncertainty on emissions. The results also indicate that the positive impact of energy consumption on CO2 emissions is exacerbated by uncertainty. Likewise, available technologies appear to reduce CO2 emissions, and this effect is intense in periods of uncertainty. Conversely, R&D activities increase CO2 emissions in the presence of uncertainty. The findings also point to a non-linear relationship between uncertainty and CO2 emissions. Uncertainty does not appear to have any statistically significant impact on carbon emissions in less developed countries. The estimation results are robust to alternate model specifications.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)

Publication year
2024
Confidentiality
C - Předmět řešení projektu podléhá obchodnímu tajemství (§ 504 Občanského zákoníku), ale název projektu, cíle projektu a u ukončeného nebo zastaveného projektu zhodnocení výsledku řešení projektu (údaje P03, P04, P15, P19, P29, PN8) dodané do CEP, jsou upraveny tak, aby byly zveřejnitelné.

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