Problematic Issues of Youth Unemployment in Central and Eastern European Countries

2021 ◽  
pp. 401-417
Author(s):  
Rasa Daugėlienė ◽  
Algis Junevičius
Keyword(s):  
Youth Unemployment ◽  
European Countries ◽  
Eastern European ◽  
Eastern European Countries

The Rise of Youth Unemployment and Youth NEETs in the CEECs After the 2008 Crisis

2020 ◽  
pp. 1-32
Author(s):  
Selda Gorkey
Keyword(s):  
Labor Market ◽  
Economic Crisis ◽  
Slovak Republic ◽  
Youth Unemployment ◽  
European Countries ◽  
Eastern European ◽  
Structural Problems ◽  
Eastern European Countries ◽  
Labor Underutilization ◽  
The Impact

This study examines the impact of the 2008 economic crisis on youth unemployment and NEETs in the Central and Eastern European Countries (CEECs). It also analyses structural labor market problems in these economies such as youth unemployment by duration and skill, labor underutilization, and mismatch. The findings show that youth unemployment and NEET rates were more sensitive to the crisis in the CEECs compared to those in the EU-28. The highest increases were experienced in Latvia, Lithuania, Estonia, and Croatia for youth unemployment; and in Bulgaria, Latvia, Croatia, and Romania for youth NEETs. The NEET rates of 15-29 ages emerged as a more crucial issue than that of 15-24 ages. The examination of labor market structural problems shows that most of the relevant proxies worsened after the crisis in the CEECs; however, the proxies for Croatia were higher than the others. Romania, Bulgaria, and Slovak Republic also signal some structural problems, to a lesser extent.

scholarly journals YOUTH UNEMPLOYMENT IN EUROPE – BUSINESS CYCLES, CRISES, AND POLICY RESPONSES

2021 ◽  
Vol 2 ◽  
pp. 116-124
Author(s):  
Albena Vutsova ◽  
Martina Arabadzhieva ◽  
Todor Yalamov
Keyword(s):  
Youth Unemployment ◽  
Quantitative Approach ◽  
European Countries ◽  
Data Series ◽  
Eastern European ◽  
Annual Basis ◽  
Policy Responses ◽  
Eastern European Countries ◽  
Practical Implications ◽  
The Eu

Purpose: The goal of the paper is to analyse in which countries’ youth unemployment is statistically pro or countercyclical and how crises in the last decade have affected it. What would the plausible explanations for diverging patterns within the EU and other European countries be? In what terms is the young people’s labour market across Europe imbalanced? Methodology: The paper builds on Gontkovicova et al.’s (2015) analysis of correlations between GDP growth and youth unemployment on an annual basis by adding more indicators and considering the quarterly basis as well. The quantitative approach is enriched by qualitative insights on Southeast European countries studied within the Erasmus+ YouthCap project (CRA, 2020). Findings: Most of the countercyclical youth unemployment trends in the last 20 years are observed in Eastern European countries (Bulgaria, Hungary, Poland and Slovenia). From Western European countries Iceland, Denmark and Portugal are countercyclical. The most resilient countries in terms of COVID-19 are North Macedonia, Serbia, Turkey and Iceland, which were able to reduce youth unemployment during the coronavirus crisis (Q3 in 2019 and 2020). Plausible policy reactions have been identified based on the concept of learning societies and the need for continuous education. Practical implications: The paper argues why localised policy responses could be more effective than a centralised solution. However, increased coordination and standardisation of secondary and higher education could lead to increased youth labour migration. Originality/value: The paper combines a more traditional quantitative approach to the most recent data series with the qualitative approach of identifying various micro-trends by looking at selected outlier countries.

Knowledge about basic life support in European students

2014 ◽  
Vol 155 (21) ◽  
pp. 833-837 ◽  
Author(s):  
József Marton ◽  
Attila Pandúr ◽  
Emese Pék ◽  
Krisztina Deutsch ◽  
Bálint Bánfai ◽  
...  
Keyword(s):  
Basic Life Support ◽  
Life Support ◽  
European Countries ◽  
Eastern European ◽  
Knowledge And Skills ◽  
European Students ◽  
Western European ◽  
Eastern European Countries ◽  
European Youth

Introduction: Better knowledge and skills of basic life support can save millions of lives each year in Europe. Aim: The aim of this study was to measure the knowledge about basic life support in European students. Method: From 13 European countries 1527 volunteer participated in the survey. The questionnaire consisted of socio-demographic questions and knowledge regarding basic life support. The maximum possible score was 18. Results: Those participants who had basic life support training earned 11.91 points, while those who had not participated in lifesaving education had 9.6 points (p<0.001). Participants from former socialist Eastern European countries reached 10.13 points, while Western Europeans had average 10.85 points (p<0.001). The best results were detected among the Swedish students, and the worst among the Belgians. Conclusions: Based on the results, there are significant differences in the knowledge about basic life support between students from different European countries. Western European youth, and those who were trained had better performance. Orv. Hetil., 2014, 155(21), 833–837.

Central and Eastern European states in global production linkages: country-level and sector-level analysis

2017 ◽  
pp. 38-60 ◽  
Author(s):  
Ewa Cieślik
Keyword(s):  
Global Value Chains ◽  
Jel Classification ◽  
European Countries ◽  
Value Chains ◽  
Eastern European ◽  
Large Share ◽  
Country Level ◽  
Western European ◽  
Eastern European Countries ◽  
Level Analysis

The paper evaluates Central and Eastern European countries’ (CEEs) location in global vertical specialization (global value chains, GVCs). To locate each country in global value chains (upstream or downstream segment/market) and to compare them with the selected countries, a very selective methodology was adopted. We concluded that (a) CEE countries differ in the levels of their participation in production linkages. Countries that have stronger links with Western European countries, especially with Germany, are more integrated; (b) a large share of the CEE countries’ gross exports passes through Western European GVCs; (c) most exporters in Central and Eastern Europe are positioned in the downstream segments of production rather than in the upstream markets. JEL classification: F14, F15.

Sign in / Sign up

Export Citation Format

Share Document