Kadri Ukrainski
@ut.ee
School of Economics and Business Administration
University of Tartu
RESEARCH, TEACHING, or OTHER INTERESTS
Economics and Econometrics, Management of Technology and Innovation, Public Administration
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Anna-Kati Pahker, Margit Keller, Erkki Karo, Triin Vihalemm, Mihkel Solvak, Kati Orru, Erki Tammiksaar, Kadri Ukrainski, and Martin Noorkõiv
Elsevier BV
Oleksandr Dorokhov, Lyudmyla Malyarets, Dmytro Yevstrat, and Kadri Ukrainski
Slovenian Association Informatika
Margit Kirs, Erkki Karo, and Kadri Ukrainski
Informa UK Limited
European Union (EU) policies and initiatives have played an increasingly crucial role in the strategic development of bioeconomy across Europe, albeit in a widely uneven manner. This paper provides an overview of the system and policy changes that allowed some countries to become bioeconomy frontrunners in the EU and derives potential lessons for latecomers from the Central and Eastern European (CEE) region. Theoretically, we rely on the conceptual ideas of sustainability transitions and transformative innovation policy to highlight the nature and challenges of a transition towards bioeconomy. Our results show that the requirements of systemic and policy-supported transitions towards bioeconomy are threefold: stable and long timeframes in policy-making and dynamic change agents (fitting particular systems); participatory processes in policy co-design to co-develop visions; and the societal legitimacy of and commitment to bioeconomy.
Margo Liik, Jaan Masso, and Kadri Ukrainski
Informa UK Limited
While research and development expenditures are considered a key to productivity growth and development, the question remains whether their contribution could depend on the particular countries’ and industries’ actual development levels and positions in global value chains. In this paper we analyse the relative contribution of R&D to the efficiency (productivity) on the industry and sector level in OECD countries using industry-level panel data and the stochastic frontier production function approach. The results indicate that R&D capital productivity enhancing effect increases with the level of technology; physical capital shows the opposite effect. The distribution of efficiency across industries shows remarkably different variances, reflecting different degrees of competition and the structure of value chains. Among different external factors, the share of labour with tertiary education at the national level showed a strong positive correlation with efficiency, while for other external factors the effect varied across the industries. The findings imply that in the design of R&D policy measures the structure of the industries needs to be considered.
I. Audirac
Routledge
Kadri Ukrainski, Jaan Masso, and Hanna Kanep
Springer Science and Business Media LLC
Urmas Varblane, Kadri Ukrainski, and Oliver Lillestik
Springer New York
Elias G. Carayannis, Kadri Ukrainski, Jaan Masso, and Urmas Varblane
Springer New York
Tiia Vissak
Edward Elgar Publishing
Urmas Varblane, Kadri Ukrainski, and Oliver Lillestik
Springer New York
Saana Tykkä, Denise McCluskey, Tomas Nord, Pekka Ollonqvist, Mårten Hugosson, Anders Roos, Kadri Ukrainski, Anders Q. Nyrud, and Fahrudin Bajric
Elsevier BV
KADRI UKRAINSKI
IMPERIAL COLLEGE PRESS
AbstractThe following sections are included:IntroductionChanges in Technology in Wood-Based IndustriesDemand for Skills in the Wood-Based IndustriesData and MethodsDevelopment of Technology and Skills in Wood Industries in EstoniaDiscussionConclusions and Policy ImplicationsReferences
Jaan Masso and Kadri Ukrainski
Oxford University Press (OUP)
The extensive literature that deals with competition for research funding has focused on the mechanisms and outcomes of funding, but has not systematically studied the allocation of funding among research performers across different financing instruments. The analysis of a small research system on the basis of funding volumes disaggregated according to beneficiaries and funding instruments showed a very high and growing degree of market concentration strengthening existing dominant research institutions. The focus of research policy on competitive funding mechanisms has been successful for the purposes of research quality, but has also resulted in disadvantages such as weak options for steering the research and the misalignment of the research system with society's needs. Copyright , Beech Tree Publishing.
Benedetto Lepori, Jaan Masso, Julita Jabłecka, Karel Sima, and Kadri Ukrainski
Oxford University Press (OUP)
In this article, we present a comparative analysis of the organization of public funding of research in three central and eastern European countries. We first compare the organization of funding agencies, the portfolio of funding instruments and, finally, the repartition of funding by beneficiaries. Further, we identify the main structural characteristics of the funding systems, by looking at features like sectoral divisions, level of delegation and the role of different institutional levels in the management of funding. Against a widespread conception of research policies in central and eastern European countries converging towards a western-style model, our study displays profound differences between the considered countries, related to history but also to contextual factors in the reform phase. Copyright , Beech Tree Publishing.
Urmas Varblane, Tõnis Mets, and Kadri Ukrainski
SAGE Publications
During the transformation process from a command economy, the extraordinary statist university–industry–government (UIG) linkages model was replaced by an extreme version of laissez-faire relationships. A more modern interaction-based UIG model could be implemented only by changing the whole national innovation system of catching-up economies. The national innovation systems of countries with a command economy past share common problems that prevent them from developing the UIG linkages. The still-dominating linear innovation model should be replaced with the interactive and learning-based approach as these countries need to improve their levels of innovation diffusion management and networking. In addition, a symbiotic approach to the balance of high-tech and low-tech industries is needed. Managerial and organizational competence should be improved and treated at the same level of importance as technological competence.
Raul Eamets and Kadri Ukrainski
Informa UK Limited
The aim of this article is to develop and deepen the discussion on this topic and analyse the methods of measuring hidden unemployment. This is important for giving an adequate overview of the situation of the labour market in Estonia and the scope of hidden unemployment and its development in the transition period. The following tasks are set to achieve this aim: to estimate different components of hidden unemployment in Estonia and to analyse the factors that influence this phenomenon in Estonia and thence form policy conclusions. In the analysis data from the Estonian Labour Force Survey (ELFS 97) carried out in 1997 are examined. Three logit models were calculated (for unemployed, underemployed and discouraged persons). The most important findings were that there are no general factors which could influence open and hidden unemployment at the same time, and that the factors influencing the components of hidden unemployment differ—underemployment is probably influenced more by economic factors and discouragement more by psychological factors.