scholarly journals CONVERGENCE CLUBS OF NUTS3 REGIONS OF THE V4 GROUP

2021 ◽  
Vol 24 (4) ◽  
pp. 22-38
Author(s):  
Izabella Szakálné Kanó ◽  
Imre Lengyel
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Labour Force ◽  
Economic Structure ◽  
Test Method ◽  
The European Union ◽  
Convergence Clubs ◽  
Catch Up ◽  
Logt Test ◽  
Visegrad Group

In this study, we analyse economic growth and structural change between 2000 and 2016 in the NUTS3 regions of the four countries forming the Visegrad Group (V4) and joining the European Union in 2004, Czechia, Poland, Hungary, and Slovakia. Our examination considers whether convergence can be observed in the case of the regions in the V4 countries over about one and a half decades, i.e., whether less developed regions catch up with more developed ones. Whether the economic growth of the regions took place at a relatively steady pace similar to that of the countries, or if there is a divide between the groups of regions (convergence clubs), which converge to different steady states. If there are convergence clubs, are the economic structure and workforce base of the clubs similar or different. Our study has two steps; first, we divide the 115 NUTS3 regions into convergence clubs with Phillips and Sul’s 2007 logt-test method, presenting the characteristics of their economic growth. We then conducted entropy calculations to test the robustness of the clubs, which provided information on the disparities inside and between the clubs, as well as inside and between the countries. Next, we present the economic structure and urbanrural types of clubs, covering the main characteristics of their labour force base and what factors the transition from one club to another depends on. The main conclusion of our study is that the five convergence clubs are completely separate and their economic structure and labour force base are also different.

scholarly journals URBANIZATION AND DYNAMICS OF ECONOMIC GROWTH (THE CASE OF NUTS 2 REGIONS OF EUROPEAN UNION)

2019 ◽  
pp. 15-29
Author(s):  
Michaela Staníčková ◽  
Lukáš Melecký
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Regional Development ◽  
Urban Areas ◽  
Economic Structure ◽  
The European Union ◽  
Endogenous Factors ◽  
Development Policies ◽  
Regional Development Policies ◽  
The Eu

Regional development policies based on local potential triggers a shift in the economic structure of territories. Exogenous and endogenous factors determine potential of regional development and it is necessary to use different indicators and methods to its evaluation. For the paper purpose, it is required to define metropolitan and peripheral functions as well as urban areas in the form of geographic models, depicting their spatial distribution in the European Union (EU). Nowadays, regions are increasingly becoming the drivers of the economy. All regions possess development opportunities – however, use these options enough, and hence the competitiveness of regions must be efficient enough. The paper focuses on dividing the EU NUTS 2 regions based on geographic models of the European economy into efficient and inefficient ones and identifying an optimal benchmark for inefficient regions as a strategy for enhancing their economic structure to measure regional efforts and progress.

The relationships between economic growth and intellectual capital: A study in the European Union

2011 ◽  
Vol 61 (3) ◽  
pp. 293-312 ◽  
Author(s):  
J. Alfaro ◽  
V. Lopez ◽  
D. Nevado
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Intellectual Capital ◽  
Knowledge Society ◽  
Economic Structure ◽  
Development Economic ◽  
Economic Factors ◽  
The European Union ◽  
Structural Capital ◽  
The Relationship

We are immersed in a knowledge society that calls for indicators to go beyond economic factors to measure the development of a country. In this paper we use an adapted microeconomic model that determines the value of a country’s intellectual capital. For this, we consider intangibles such as human development, economic structure, international trade, foreign image and innovation. This measurement of intellectual capital is divided into human and structural capital and is used to analyse the relationship between these capitals and the economic development of the 27 countries in the European Union (EU27). The results show that when we consider aspects other than economic variables, the differences between countries are larger. Moreover, there is an inverse relationship between the management of intangibles and economic growth, which is why the former progresses after the latter have occurred.

EUROPEAN FISCAL RULES AS A LIABILITY IN THE TRANSATLANTIC TRADE CONFLICT: LESSONS FROM NiGEM SIMULATIONS

2020 ◽  
Vol 254 ◽  
pp. R54-R66 ◽  
Author(s):  
Sebastian Dullien ◽  
Sabine Stephan ◽  
Thomas Theobald
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Fiscal Policy ◽  
Fiscal Rules ◽  
The European Union ◽  
Negative Effects ◽  
Transatlantic Trade ◽  
The Us ◽  
Trump Administration

Under the Trump administration, a transatlantic trade conflict has been escalating step by step. First, it was about tariffs on steel and aluminium, then about retaliation for the French digital tax, which is suspended until the end of the year. Most recently, the US administration threatened the European Union with tariffs on cars and car parts because of Canadian seafood being subject to lower import duties. As simulations with NiGEM show, a further escalation of the transatlantic trade conflict has the potential to slow down economic growth significantly in the countries involved. This is a considerable risk given the fact that the countries have to cope with the enormous negative effects of the pandemic shock. Furthermore, the damage caused by the trade conflict depends on the extent to which the affected countries use fiscal policy to stabilise their economies.

scholarly journals The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Maritime Transport ◽  
The European Union ◽  
Panel Data Regression ◽  
Green Investment ◽  
Port Infrastructure ◽  
The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

scholarly journals Are International Indices Good Predictors of Economic Growth? Panel Data and Cluster Analysis for European Union Countries

2021 ◽  
Vol 13 (11) ◽  
pp. 6003
Author(s):  
Manuel Carlos Nogueira ◽  
Mara Madaleno
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Human Development ◽  
Empirical Studies ◽  
The European Union ◽  
Global Competitiveness ◽  
Environmental Performance Index ◽  
European Union Countries ◽  
And Cluster Analysis

Every year, news about the publication of rankings and scores of important international indexes are highlighted, with some of the most prestigious being the Global Competitiveness Index (GCI), the Human Development Index (HDI), the Ease of Doing Business (EDB), the Environmental Performance Index (EPI) and the Global Entrepreneurship (GEI). A country’s progression in these indices is associated with economic growth, especially since several empirical studies have found evidence to reinforce these beliefs, the indices having been built based on the scientific literature on economic growth. Building a database on these indices for European Union countries between 2007 and 2017 and using panel data methodologies and then 2SLS (Two-Stage Least Squares) to solve the problem of endogeneity, we verify empirically through panel data estimates, what is the relationship between the mentioned indices and the European Union countries’ economic growth for the period. However, as the European Union is made up of diverse countries with different economic and social realities, we divided the countries into six clusters and made an individual interpretation for each one. We found that human development and competitiveness play an important role in economic growth, and entrepreneurship also impacts this growth. Regarding income distribution, applying the Gini index, we found that only human development mitigates inequalities.

scholarly journals Cross-border mobility in European countries: associations between cross-border worker status and health outcomes

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lucas Nonnenmacher ◽  
Michèle Baumann ◽  
Etienne le Bihan ◽  
Philippe Askenazy ◽  
Louis Chauvel
Keyword(s):  
European Union ◽  
Health Outcomes ◽  
Chronic Diseases ◽  
Reference Group ◽  
Labour Force ◽  
High Risk Population ◽  
The European Union ◽  
Health Index ◽  
Cross Sectional Survey ◽  
Cross Border

Abstract Background Mobility of workers living in one country and working in a different country has increased in the European Union. Exposed to commuting factors, cross-border workers (CBWs) constitute a potential high-risk population. But the relationships between health and commuting abroad are under-documented. Our aims were to: (1) measure the prevalence of the perceived health status and the physical health outcomes (activity limitation, chronic diseases, disability and no leisure activities), (2) analyse their associations with commuting status as well as (3) with income and health index among CBWs. Methods Based on the ‘Enquête Emploi’, the French cross-sectional survey segment of the European Labour Force Survey (EU LFS), the population was composed of 2,546,802 workers. Inclusion criteria for the samples were aged between 20 and 60 years and living in the French cross-border departments of Germany, Belgium, Switzerland and Luxembourg. The Health Index is an additional measure obtained with five health variables. A logistic model was used to estimate the odds ratios of each group of CBWs, taking non-cross border workers (NCBWs) as the reference group, controlling by demographic background and labour status variables. Results A sample of 22,828 observations (2456 CBWs vs. 20,372 NCBWs) was retained. The CBW status is negatively associated with chronic diseases and disability. A marginal improvement of the health index is correlated with a wage premium for both NCBWs and CBWs. Commuters to Luxembourg have the best health outcomes, whereas commuters to Germany the worst. Conclusion CBWs are healthier and have more income. Interpretations suggest (1) a healthy cross-border phenomenon steming from a social selection and a positive association between income and the health index is confirmed; (2) the existence of major health disparities among CBWs; and (3) the rejection of the spillover phenomenon assumption for CBWs. The newly founded European Labour Authority (ELA) should take into account health policies as a promising way to support the cross-border mobility within the European Union.

Institutions of Conflict Management and Economic Growth in the European Union

Kyklos ◽  
2001 ◽  
Vol 54 (4) ◽  
pp. 509-531 ◽  
Author(s):  
Friedrich Schneider ◽  
Alexander F. Wagner
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Conflict Management ◽  
The European Union
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