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

IF 4.4 4区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Alexandru Bănică, Ramona Ţigănaşu, Peter Nijkamp, Karima Kourtit
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引用次数: 0

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.

Abstract Image

欧盟地区绿色和数字化转型中的机构质量--恢复和复原力分析
本文评估了欧盟成员国和地区的国家恢复和复原计划(NRRPs),以揭示绿色转型和数字转型之间的共性和差异,重点关注机构以及其他社会经济驱动因素在这些转型中的作用。为此,我们收集了相关指标,并开发和测试了几个计量经济学模型,以评估与绿色转型和数字转型相关的机构绩效。研究揭示了这两个转型领域的差异,并强调了制度因素在推动转型方面的作用。具体而言,研究结果表明,欧盟地区的绿色转型与预期寿命、机构质量、高等教育水平和开展创新活动的中小企业(SMEs)等变量呈正相关,而数字化的成果则主要与高等教育人口、核心创意阶层就业、机构问责制和创新型中小企业相关。这些见解为决策者提供了宝贵的指导,帮助他们从表现出色或成功的地区吸取经验教训,并战略性地分配资源。这包括关注地区财政拨款及其与地区规划和长期政策的一致性。
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来源期刊
Global Challenges
Global Challenges MULTIDISCIPLINARY SCIENCES-
CiteScore
8.70
自引率
0.00%
发文量
79
审稿时长
16 weeks
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