This paper contributes to the comprehensive approach for sustainable and balanced development of bioeconomy as a cross-cutting economic sector and focuses on the drivers of Lithuanian bioeconomy strategy. Lithuanian bioeconomy strategy development can be motivated by country’s specialization and, compared with other EU member states, strong performance in terms of recent growth in all biomass production and fully bio-based manufacturing sectors. However, Lithuanian bioeconomy strategy depends not only on the current state and trends of its subsectors, but also on the drivers that will be forcing and shaping them in the future. The authors decomposed these drivers into global, European and national. Using content analysis of the EU, OECD and European countries’ legal acts, global drivers such as depletion of natural resources, growing population, increasing environmental pressures and climate change were identified. Applying content analysis of the EU and European countries’ bioeconomy strategies and analysis of case studies of good practices in European countries and regions, the following drivers at European level were identified: common EU bioeconomy policy, strategy and action plan; assurance of biomass availability and sustainability, as well as efficient biomass value chain; the need to strengthen markets and competitiveness of the bioeconomy subsectors; the necessity of close cooperation among all stakeholders, namely politicians, business people, scientists and the public; the need of the development of new technologies and processes, especially industrial biotechnology. The research revealed that the bioeconomy development in Lithuania has been regulated and promoted through certain sectoral policies: agriculture, forestry, fisheries, energy, environment (including waste management), scientific research, innovation and biotechnology development. In the future, the cross-sectoral links and interactions in the Lithuanian bioeconomy will increase due to the scarce biomass, applying the cascading principle in the biomass refinement, transition towards circular economy, and the development and implementation of innovations.

Žmonių ištekliai yra svarbūs užtikrinant regiono konkurencinį pranašumą. Tačiau Lietuvos regionų verslumo ir aukštųjų mokyklų absolventų karjeros pasirinkimų sąsajos dar mažai moksliš-kai nagrinėtos. Straipsnyje siekiama rasti ryšį tarp studentų verslumo, jų karjeros krypčių pabaigus studijas ir šalies regionų, iš kurių studentai yra kilę. Apklausoje sudalyvavę 413 įvairių šalies aukš-tųjų mokyklų studentų buvo suskirstyti į grupes pagal kilmės regiono verslumo lygį -aukštą, vidutinį, žemą -ir šios studentų grupės buvo palygintos pagal aukštosios mokyklos ir studijų pasirinkimus, pačių studentų ir jų šeimų santykį su verslu bei regionų pasirinkimus karjerai pabaigus studijas. Tyrimas parodė, kad kilmės regiono verslumo lygis neturi reikšmingo poveikio studentų karjeros pasirinkimams: aukštosios mokyklos ar studijų programos orientacija į verslumo ugdymą nėra lemiantis karjeros krypties pasirinkimo veiksnys; šeimos verslo, kuriame studentai įgyja verslo pradmenų, modeliai gana panašūs skirtingo verslumo lygio regionuose; didžioji dalis studentų po studijų norėtų likti mieste, kuriame studijuoja, o tai dažniausiai sutampa su aukštu verslumo lygiu.Raktiniai žodžiai: studentų verslumas, karjeros kryptys, regionai, migracija, apklausa. JEL kodai: C83, J24, L26, O15. ĮvadasPeriodiškai kas 2-3 metus vykdomo globalaus studentų verslumo tyrimo (angl. Global University Entrepreneurial Spirit Students' Survey, sutrump. GUESSS), rezultatai atskleidė ryšius tarp šalies ekonominio išsivystimo lygio ir studentų motyvacijos bei aktyvumo kuriant verslą (Global..., 2006(Global..., , 2009(Global..., , 2011(Global..., , 2014(Global..., , 2016. P. Sieger, U. Fueglistaller ir T. Zellweger (2016) teigia, kad didesne motyvacija ir aktyvumu kuriant verslą pasižymi besivystančių šalių studentai, turintys palyginti mažiau patrauklių įsidarbinimo galimybių, ir tai įvardija "būtinybės verslumu". Tuo tarpu, kai šalis yra turtingesnė, studentų motyvacija užsiimti verslu ir aktyvumas jį plėtojant studijų metu susilpnėja dėl turimų alternatyvų, t. y. aukštos kvalifikacijos reikalaujančios gerai apmokamos darbo vietos bankuose, profesinių paslaugų įmonėse, aukštųjų technologijų versluose, pramonėje. Labai turtingose šalyse, studentų verslumo lygis vėl sustiprėja, tik šiuo atveju studentus labiau motyvuoja ne finansinė nauda, o pripažinimas, noras ką nors pasiekti.

In the context of intensive discussion regarding the effectiveness of internal studies' quality management systems implemented by universities and the potential of generic quality management models developed outside of higher education to contribute tangibly, this paper aims to perform the analysis and comparison of specific and generic quality management models applied by universities within the European Higher Education Area and to discover whether generic quality management models are relevant for European universities of today and how can they be applied. Methods of document analysis, modelling, classification and comparative analysis have been employed for the research. Results reveal that some elements of generic quality management models can compensate weak points of specific ones. Thus, the approach for European universities of how to integrate these different models is proposed in the paper.

The European Commission expects that the development of bioeconomy across the EU will boost its rural and coastal economies. Although these areas have comparatively more spare biomass, at the same time they are associated with lower levels of entrepreneurship and R&D; activities. One can argue that more urbanized and industrialized regions with higher innovation potential will develop high value added bio-based industries, while rural and coastal economies will remain or become to a greater extent biomass providers. Therefore, the article aims to explore links between regional biomass availability, bioeconomy business cluster and innovation potential, as well as how the development of bioeconomy can evolve in different groups of regions. For this purpose, bioeconomy development factors including aspects of innovation economics are analysed in year of 2016 using data of 237 NUTS 3 level regions of Norden, Western and Central Europe. Research results reveal that analysed regions can not be simply separated into potential bioeconomy development ‘losers’ and ‘winners’, however, several groups of analysed regions have distinctly higher potential in certain bioeconomy fields.