Alexander Gerganov

Bulgaria’s educational and economic landscapes are marked by substantial regional disparities that are interlaced with ethnic inequalities in school-to-work transitions. Young adults from Roma and Turkish origins particularly suffer from disadvantages with respect to education and labour market participation. We ask how ethnicity affects labour market entry in Bulgaria once educational resources of different ethnic groups are accounted for, and how regional contexts impact ethnic disparities in employment insecurities. Building on comparative school-to-work transition (STWT) concepts and on the labour queueing approach, we assume that ethnic disparities in the STWTs of youths in Bulgaria depend on the degree of urbanisation and the strength and structure of the regional economy. The study draws on data from the Bulgarian School Leaver Survey 2014 of 2103 young adults who had left education in the five years preceding the survey. Descriptive analysis and multilevel logistic regression models were applied to analyse STWT patterns with a special focus on education, regional contexts, and ethnicity. The results highlight that STWT risks differ considerably across the Bulgarian regions. The strength of the local economy thereby moderates ethnic disparities. Young people from Roma and Turkish origins are much less disadvantaged to transition towards employment compared to ethnic Bulgarians the stronger the local economy gets. Our study has several policy implications. In addition to the development of public and private employment opportunities for disadvantaged young people, special attention should also be paid to the development of quality vocational education at the national and regional level.

The article aims to show that taking into account diverse characteristics of the wider social environment is indispensable for a better understanding of participation in adult education (PAE). It explores the association of corruption as a macro factor with PAE, arguing for an integrated approach to PAE. By using two indexes for corruption at country level Corruption Perception Index and the Index of Public Integrity—and micro-data for adults aged 25–64 from 29 European countries in the Adult Education Survey, 2016, as well as by applying random-effects logit models, this study has demonstrated that a country's higher corruption level is associated with the lower probability of PAE. Our article also reveals that the relationships between individual-level variables such as gender, higher education, social background, and PAE are embedded in a wider social milieu, and corruption is an essential characteristic of that milieu which deepens some of the inequalities in PAE.