Abstract
Changes introduced to Poland’s education system in 2011 and 2014 amid efforts to adjust it to the needs of the labour market had an effect on the country’s institutions of higher learning. This paper provides an analysis of the efficiency of public and private Polish universities and examines the impact of selected factors in the years that followed. To estimate this efficiency, a Banker, Charnes and Cooper (BCC) model of the Data Envelopment Analysis (DEA) method was used. To gauge the impact of environmental variables on the efficiency of universities, a truncated regression analysis was performed. The results of the study indicate that public universities were more efficient in terms of the number of graduates they produced but less efficient when considering the level of graduate salaries. The opposite was true for private institutions. The level of efficiency was affected by variables related to specific universities and the socio-economic situation of the region in which they operate. The study analyses the efficiency of educational activities of public and private universities, both in terms of the number of graduates and the quality of education and in the context of the labour market. The analysis also considers the level of graduate earnings.
Highlights
Higher education is a driving force of economic development in every country
Unlike in most previous analyses, non-public higher education institutions were included in the study
Private institutions achieved a higher level of efficiency for graduate earnings than the number of graduates, while public institutions showed the opposite effect
Summary
Higher education is a driving force of economic development in every country. Universities contribute to the essential components of a knowledge-based economy by providing highly qualified personnel for the job market and by conducting, promoting and supporting research and scientific undertakings. “These highly educated European movers favour urban settings and northern areas of the EU (Sweden, Ireland, Estonia, Denmark as well as several regions in the UK). They usually enjoy very high employment rates (...) In 2017, approximately 4.2 million of EU28 movers with a working age of between 15 and 64 had a tertiary level of education (ISCED11, levels 5–8). This represents 25% of the almost 17 million EU28 movers. The share of highly skilled EU28 movers has been increasing
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