Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Global Challenges vs. the Need for Regional Performance Models under the Present Pandemic Crisis

Bibliographic Data

ID15464685
AuthorsRomeo Victor Ionescu (0000-0002-3055-5969, "Dunarea de Jos" University of Galati), Romeo-Victor Ionescu (Administrative Sciences and Regional Studies, Faculty of Juridical, Social and Political Sciences, Dunarea de Jos University, 111th, Domneasca Street, 800201 Galati, Romania), Monica Laura Zlati (0000-0003-2443-1086, Ştefan cel Mare University of Suceava), Valentin Marian Antohi (0000-0002-6899-2419, "Dunarea de Jos" University of Galati, corresponding author)
Year2021
Volume18
Issue19
Pages10254-10254
Publication date2021-09-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph181910254
PMID34639554
OpenAlexW3204467188
LanguageEN
References cited15

The present study uses the analysis of the EU's regional performance structure based on clusters to test the versatility of the regional administrative capacity in relation to three disruptive global phenomena: the economic crisis, the coronavirus epidemic and the phenomenon of refugee migration to Europe. We defined a regional performance model based on maintaining sustainability indicators in the 240 EU regions. The objectives of the study are aimed primarily at a structured assessment of regional administrative capacity in the initial version, based on statistical indicators, and in the current version, after the outbreak of the pandemic, based on quantifying the impact of the disturbing factors. Secondly, the objectives of the study are to evaluate the reaction of the administrative units according to their ability to respond to the economic problems in the region, in the sense of improving the performance of the regional economies. The methods used in this paper will be empirical (the study of the specialized literature), analytical and will contain econometric modelling and statistical processing of the data. The results of the study will allow the identification of the necessary traits to train a leader in regional performance, traits that will be useful to European decision makers in adjusting the EU regional policy. Moreover, the need to redefine the EU in terms of performance will be substantiated once again. The study is current and is based on the latest Eurostat information, pertinent tables and diagrams

Coronavirus disease 2019 (COVID-19 · Econometrics · Economics · Geography · Identification (biology · Operations research · Pandemic · Regional science · Sustainability · Computer Science · Engineering · Quality of Life Measurement · Regional Development and Policy · Regional resilience and development

  • What Will Be the Economic Impact of Covid-19 in the US? Rough Estimates of Disease Scenarios

    Andrew Atkeson•National Bureau of Economic…•2020

  • The effect of Covid-19 on the economy

    Open Access•Kenzo Asahi, Eduardo A Undurraga et al.•Journal of Global Health•2021

  • The impact of Covid-19 on Gig economy

    Open Access•Muhammad Umar, Yan Xu et al.•Economic Research-Ekonomska…•2021

  • From forced migration to forced arrival

    Open Access•René Kreichauf•Comparative Migration Studies•2018

  • Blaming Brussels? The Impact of (News about) the Refugee Crisis on Attitudes towards the EU and National Politics

    Open Access•Eelco Harteveld, Joep Schaper et al.•JCMS Journal of Common Market…•2018

  • Does Exposure to the Refugee Crisis Make Natives More Hostile

    Open Access•Dominik Hangartner, Elias Dinas et al.•American Political Science Review•2019

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae