OPEN Repository

Welcome to OPEN - the Repository of Open Scientific Publications, run by the Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, previously operating as the CeON Repository. The Repository enables Polish researchers from all fields to openly share their articles, books, conference materials, reports, doctoral theses, and other scientific texts.

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A multivariate approach to the identification of initial smart specialisations of Polish voivodeships
(Equilibrium, 2020) Bal-Domańska, Beata; Sobczak, Elżbieta; Stańczyk, Elżbieta; Wroclaw University of Economics and Business; Uniwersytet Ekonomiczny we Wrocławiu; Statistical Office in Wrocław
Research background: The identification of smart specialisations should be based on information allowing the identification of resources and capital in the regions, which constitute the unique value of the area providing for the development of competitive advantages based on innovations and achievements in the research and development activities. Purpose of the article: The key goal is to present the proposal to use an aggregate (synthetic) measure for the purpose of identifying regional development potentials and next the initial smart specialisations (RSS). This approach is particularly useful at the very initial stage of recognizing the potential in the region, and ? after some modifications ? may offer a useful tool for assembling the de-velopment of industries (services) in the region. The additional goals are: (1) to organize the knowledge regarding statistical approaches and selected methods to be used in the process of identifying initial smart specialisations in regions (RSS); (2) exemplification of the presented methodology for the initial regional smart specialisations (RSS) identification in voivodeships in Poland based on a multivariate approach. Methods: Multivariate statistical analysis (MSA) methods are used in the identification procedure of initial regional smart specialisations (RSS), which allowed for performing the assessment in 4 areas: resources and capital; specialisation; development potential (dynamics); the involvement in research and development and innovative activities. They can also be extended with additional dimensions related to the cooperation of enterprises with social or environmental priorities. Findings & Value added: The conducted procedure allowed identifying NACE rev. 2 divisions useful in determining development potentials in Polish regions and later the initial smart specialisations (RSS). The identified initial RSS for Polish voivodeships can be a starting point for building regional smart specialisations based on values supply chain or other premises. Due to the universal nature of the proposed methodology, it can be widely used at the level of subregions, regions and the EU countries
Smart workforce structures versus regional development in European Union countries of new accession (EU12)
(Gaudeamus, 2013) Sobczak, Elżbieta; Bal-Domańska, Beata; Uniwersytet Ekonomiczny we Wrocławiu; Wroclaw University of Economics and Business
The first objective of the hereby paper is to present dynamic analysis and assessment of workforce structure in EU12 countries based on structural and geographical shift-share analysis (SSA). Workforce structure in economic sectors, distinguished based on R&D work intensity, was the subject of diversification and transformations assessment. The second aim of the paper is to assess relations between smart specialization and economic cohesion by measuring both the intensity and direction of their mutual relations.Thestudy was conducted among countries and NUTS-2 level regions of new accession from 2004 and 2007 (EU12).
Identification of Regional Smart Specialisations on the Basis of aggregate Measures – A Case of the Dolnośląskie Voivodeship
(Wydawnictwo Naukowe Uniwersytetu Szczecińskiego, 2020) Bal-Domańska, Beata; Sobczak, Elżbieta; Stańczyk, Elżbieta; Uniwersytet Ekonomiczny we Wrocławiu; Wroclaw University of Economics and Business; Urząd Statystyczny we Wrocławiu
Research background: Strengthening endogenous potentials, enhancing competitive advantage based on research and innovation remains an important component of regional development policy. Over the years this task has been carried out through e.g. the identification and support focused on smart specialisations. Purpose: The purpose of the assessment was to identify smart specialisations in the Dolnośląskie voivodeship and evaluate their competitiveness against the background of other voivodeships. Research methodology: The set of diagnostic indicators as well as the dynamics and location measures calculated on their basis, and also linear ordering methods using a weights system (Synthetic Measure of Smart Specialisations – SMSS) were used to identify regional smart specialisations. A statistical analysis was conducted on the basis of data at the level of PKD divisions (Polish Statistical Classification of EconomicActivities; NACE is the EU equivalent). The identification was carried out taking into account the period 2012–2017 and focused primarily on 2017. Results: As a result, 4 RSSs were identified, of which the first two are the mining of non-ferrous metal ores and the production of motor vehicles. Novelty: The study proposes, based on the example of the Dolnośląskie voivodeship, the possibility of using linear ordering methods in determining the region’s smart specialisations (RSS), i.e. unique regional qualities and assets, which may constitute its competitive advantage, supported by appropriate research and development facilities and essential for the development of modern and innovative sectors of the economy.
Educational Potential and the Situation of the Youth on the Labour Market in the European Union Regions
(Melandrium, 2018) Bal-Domańska, Beata; Sobczak, Elżbieta; Wroclaw University of Economics and Business
The study is focused on the relationship between educational potential and labor market. Educational potential is defined as the resource of knowledge and skills in the region expressed by the level of formal education, the scientific potential, and the tendency to continue to improve qualifications. The labour market is represented by the young people, who enter the labour market after obtaining formal education. The purpose of the study is to assess the spatial autocorrelation of educational potential and the situation of young people in the cross - section of the NUTS - 2 European Union regions in 2016. The analytical tools were spatial statistics (local and global I Moran). The obtained results indicate strong tendency for cluster development . This was very well visible in case of the long life learning indicator and employment rate of young people neither in education nor training. The lowest tendency for clustering was observed in case of early leavers form education and training. Furthermore the results suggest the significance of education for the development of labour market for young people
Econometric Assessment of the Relation Between the Situation of Youth on the Labour Market and the Macroeconomic Factors Among the EU Countries
(International Business Information Management Association, 2019) Bal-Domańska, Beata; Sobczak, Elżbieta; Wroclaw University of Economics and Business; Uniwersytet Ekonomiczny we Wrocławiu
Many countries are experiencing serious problems connected with the youth entering the labour market. Young people, at the beginning of their professional career and also family life, face problems related to entering the labour market, concluding “good” contracts and adequate remuneration. The purpose of the article is to assess the situation of young people in the labour market depending on the selected macroeconomic factors. The analysis was conducted using panel data models. Econometric models allow describing the relation between the changes in the macroeconomic situation of a country (e.g. GDP, unemployment rate) and the professional activity of young people. The assessment covered 28-EU countries in the years 2004-2017. The conducted analysis shows that the labour market situation (measured by unemployment) is an important factor determining the level of youth unemployment. In the countries with a welldeveloped education system, characterized by high interest in long-life learning, and also in the countries with well-developed educational capital, approached as the education level of the society, the activity of young people on the labour market is higher. The transformations of national economies towards industry and knowledge-intensive services also have a positive impact on improving the situation of youth. These transformations are visible only when considering the changes over time which took place in individual countries (in terms of their average levels for particular countries it was not possible to confirm their statistical significance in explaining the differences regarding the labour market situation of young people).