Purpose The authors’ aim is to establish the variance of youth welfare citizenship regimes in Central and Eastern Europe (CEE) and to revisit the applicability of the regime approach to the emerging welfare regimes (EWRs). Design/methodology/approach The empirical analysis follows the descriptive case study strategy aiming to discover diversity of youth welfare citizenship patterns. The case selection is made within the CEE country group, which includes countries in Central Europe, the Baltics, Eastern Europe and Southeast Europe, all sharing the communist past. The subdivision of these countries in reference to the welfare states can be made via the European Union (EU) membership based on the assumption that EU social policy frameworks and recommendations have an important effect on domestic policies. We included countries which are in the EU, i.e., with a similar political and economic transition path. There were three waves of accession to the EU in CEE countries. In the first wave (2004), all the Baltic countries, Czech Republic, Slovakia, Poland, Hungary and Slovenia joined. In the second wave (2007), Romania and Bulgaria joined. Finally, Croatia joined the EU in 2013. Altogether 11 CEE countries are the EU members today, the remaining CEE countries are non-EU members and thus are excluded from the current research. Those countries which are part of the EU share similarities in social and economic reforms during the pre-accession period and after in order to reach a comparatively similar system with other member states. So, in terms of casing strategy these six countries can be named as emerging welfare regimes (EWRs) evolving transformations across different public policy areas. Handpicking of six countries out of 11 relies on the assumption that the Anglo-Saxon welfare system characteristics are more evident in the Baltic countries (Aidukaite, 2019; Aidukaite et al., 2020; Ainsaar et al., 2020; Rajevska and Rajevska, 2020) and Slovenia, while in Bulgaria and Croatia certain outcomes reflect the Bismarckian principles of social security (Hrast and Rakar, 2020; Stoilova and Krasteva, 2020; Dobrotić, 2020). This brings important variety into our analysis logic. Last but not least, we juxtapose six CEE EWR countries under analysis with six mature welfare regime countries representing different welfare regime types. Those mature welfare regime countries (Finland, Sweden, France, Germany, Italy, UK) are not an explicit object of the study but help to put analysed CEE EWR cases into larger context and thus, reflect upon theoretical claims of the welfare regime literature. Findings The authors can confirm that the EWR countries can be rather well explained by the welfare citizenship typology and complement the existing knowledge on youth welfare regime typology clusters in the Western Europe. Estonia is clustered close to the Nordic countries, whereas Latvia, Lithuania, Croatia and Slovenia are close to the Bismarckian welfare model despite rather flexible, non-restricted educational path, universal child and student support. Bulgaria is an outlier; however, it is clustered together with mature Mediterranean welfare regimes. Former intact welfare regime clusters are becoming more diverse. The authors’ findings confirm that there is no any intact cluster of the “post-communist” welfare regime and Eastern European countries are today “on move”. Research limitations/implications Altogether 11 CEE countries are the EU members today. The remaining CEE countries are non-EU members and thus are excluded from the current research. Those countries which are part of the EU share similarities in social and economic reforms during the pre-accession period and after in order to reach a comparatively similar system with other member states. At least one CEE country was chosen based on existing theoretical knowledge on the welfare regime typology (Anglo Saxon, Beveridgean, Bismarckian) for the Post-communist country groups. Practical implications In the social citizenship dimension we dropped social assistance schemes and tax-relief indices and included poverty risk and housing measures. Youth poverty together with housing showed rather clear distinction between familialized and individualised countries and thus, made the typology stronger. In the economic dimension the preliminary picture was much fuzzier, mainly due to the comprehensive education in the region and intervention of the EU in domestic ALMPs (and VET) reforms. The authors added a new indicator (pro-youth orientation of ALMP) in order better to capture youth-sensitivity of policy. Social implications The authors included a working poverty measure (in-work poverty rate) in order to reflect labour market insecurity as an increasing concern. Yet, the analysis results were still mixed and new indicators did not help locating the regime types. Originality/value In order to improve the validity of the youth welfare citizenship regime economic dimension, Chevalier's (2020) model may also be worth revisiting. The authors argue that this dichotomy is not sufficient, because inclusive type can have orientation towards general skills or occupational skills (i.e. monitored or enabling citizenship clusters), which is currently ignored. Chevalier (2020) furthermore associates inclusive economic citizenship with “coordinated market economies” (referring to Hall and Soskice, 2001), which seems hardly hold validity in the Nordic and at least some CEE countries.

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In all the EU countries and Latvia, the health care impact during the Covid-19 outbreak was one of the first priorities. Meanwhile, less attention was paid to the social service burden, especially in social work with families and children, elderly and other social groups in the most vulnerable situations. New social measures were introduced from the very beginning of the emergency situation, and a crisis benefit was initiated for families and children at the local level. Social workers had to adjust their practice to more flexible, remote and transformed social service delivery. It required specific personal protective equipment (PPE) and new forms of communication channels with families in need and new risk groups. The analysis of correlation between the Covid-19 estimated cases and the social crisis benefit provided during the emergency was performed with a regression model by using the SPSS statistical and mathematical program. It is a starting point for the research on how the social measures introduced in the emergency were allocated. The evidence about the communication and inter-disciplinary experiences was obtained via the analysis of open-ended interviews with social workers and experts. The preliminary results demonstrate the importance of the work alleviating impacts from the national to local level with inter-disciplinary professional teamwork solutions and adaptability in social work practice.