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Strengthening Institutions for a Green and Digital Future: Regional Evidence from Europe's Twin Transition

Martina Dal Molin & Chiara Leggerini

Journal of Regional Science2026https://doi.org/10.1111/jors.70062article
AJG 3ABDC A
Weight
0.50

Abstract

This paper explores the role of institutional quality in fostering the twin transition across European regions. We construct a novel panel dataset at the NUTS2 level (2006–2020), combining patent data from the OECD REGPAT with the European Quality of Government Index. Twin transition innovation is measured through the fractional count of patents in technologies simultaneously addressing environmental sustainability and digital transformation. Institutional quality is captured both through EQI and its key dimensions. Using a Tobit regression model with panel data, we find that higher institutional quality significantly increases the likelihood and intensity of twin transition patenting

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https://doi.org/https://doi.org/10.1111/jors.70062

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@article{martina2026,
  title        = {{Strengthening Institutions for a Green and Digital Future: Regional Evidence from Europe's Twin Transition}},
  author       = {Martina Dal Molin & Chiara Leggerini},
  journal      = {Journal of Regional Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/jors.70062},
}

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Strengthening Institutions for a Green and Digital Future: Regional Evidence from Europe's Twin Transition

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.