Does cyclical innovation in environmental-related technologies make knowledge-based economies carbon neutral?
The knowledge-based economies have reacted by enacting stringent legislation and encouraging innovation in environmental-related technologies (IERTs) across organizations, such as academic institutions. Although previous research continues to support green innovation as a pro-cyclical concept, the i...
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Published in | Environmental science and pollution research international Vol. 30; no. 17; pp. 49605 - 49617 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.04.2023
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The knowledge-based economies have reacted by enacting stringent legislation and encouraging innovation in environmental-related technologies (IERTs) across organizations, such as academic institutions. Although previous research continues to support green innovation as a pro-cyclical concept, the irregular effect of IERT dynamics on CO
2
e in knowledge-based economies has not yet been studied. The paper looks at the cyclical nexus between IERT and CO
2
e in 37 knowledge-based economies using panel data from 1990 to 2019. The augmented mean group supported that an adverse change in IERT contributes to CO
2
e during economic downturns. Second, the findings confirmed that positive dynamics in IERT reduces CO
2
e during economic expansions. Third, the findings signified that trade openness, expansionary commercial policy, gross domestic product per capita, and expansionary monetary policy all increase CO
2
e, while contractionary commercial policy and use of renewable energy all decrease CO
2
e. Overall, the results of this study showed that there is a counter-cyclical association between IERT and CO
2
e. It is suggested that to reduce CO
2
e in knowledge-based economies, the government should support IERT in both economic contraction and expansion periods. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1614-7499 0944-1344 1614-7499 |
DOI: | 10.1007/s11356-023-25736-9 |