Evidence map›Paper›PMID 39440227›Full record

ArticleGlobal challenges (Hoboken, NJ)2024

Institutional Quality in Green and Digital Transition of EU Regions - A Recovery and Resilience Analysis.

Alexandru Bănică, Ramona Ţigănaşu, Peter Nijkamp, Karima Kourtit

Abstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alexandru BănicăFaculty of Geography "Alexandru Ioan Cuza" University of Iasi, Romania, Center for Geographic Research Romanian Academy Iasi Branch 700506 Romania.ORCID https://orcid.org/0000-0001-7781-342X
Ramona ŢigănaşuCentre for European Studies "Alexandru Ioan Cuza" University of Iasi Iasi 700507 Romania.
Peter NijkampOpen University Heerlen 6401 the Netherlands.
Karima KourtitOpen University Heerlen 6401 the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper assesses the National Recovery and Resilience Plans (NRRPs) of EU member states and regions to uncover commonalities and differences between green and digital transitions, focusing on the role of institutions, among additional socio-economic drivers, in modeling them. To that end, relevant indicators have been assembled, and several econometric models have been developed and tested to evaluate institutional performance in relation to green and digital transformations. The study reveals discrepancies in the two explored transition fields and highlights the power of institutional factors in boosting them. Specifically, the findings demonstrate that the green transition in EU regions is positively associated with variables such as life expectancy, institutional quality, tertiary education attainment, and small and medium enterprises (SMEs) with innovative activities, while the fruits of digitalization are mainly allied to population with higher studies, core creative class employment, accountability of institutions, and innovative SMEs. These insights offer valuable guidance for decision-makers to draw lessons from high-performing or successful regions and strategically assign resources. This includes paying attention to regional financial allocations and their alignment with territorial planning and long-term policies.

Indexed as

green and digital transitioninstitutional qualityNational Recovery and Resilience Plansregional disparitiesstrategic prioritiessustainable development

Identifiers

PMID39440227
PMCPMC11492339

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.