Evaluating eco-innovation efficiency and club convergence trends across the European Union: A window slack-based measure approach
This study assesses the eco-innovation efficiency of 27 European Union member states from 2016 to 2023, using a Window Slack-Based Measure Data Envelopment Analysis model and club convergence analysis across five dimensions: finance and support, firm investments, intellectual assets, sales impacts,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Sustainable Futures |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666188825002412 |
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| Summary: | This study assesses the eco-innovation efficiency of 27 European Union member states from 2016 to 2023, using a Window Slack-Based Measure Data Envelopment Analysis model and club convergence analysis across five dimensions: finance and support, firm investments, intellectual assets, sales impacts, and environmental sustainability. The results reveal significant fluctuations, with short-term gains during the pandemic followed by declines linked to geopolitical shocks. Convergence analysis identifies two distinct groups of countries: one characterized by stronger use of public funding, innovation investment, and environmental productivity, and another facing persistent challenges in funding efficiency and environmental impact mitigation. To address these disparities, high-performing countries should prioritize patent development and export diversification, while lower-performing countries would benefit from stricter environmental regulation and more outcome-driven research and development funding. Promoting cross-group collaboration, through joint research and development initiatives, knowledge-sharing platforms, and eco-innovation trade agreements, supported by European Union frameworks like Horizon Europe, could help bridge performance gaps. |
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| ISSN: | 2666-1888 |