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Wyświetlanie 1-2 z 2
Tytuł:
A multivariate approach to the identification of initial smart specialisations of Polish voivodeships
Autorzy:
Bal-Domańska, Beata
Sobczak, Elżbieta
Stańczyk, Elżbieta
Powiązania:
https://bibliotekanauki.pl/articles/22444357.pdf
Data publikacji:
2020
Wydawca:
Instytut Badań Gospodarczych
Tematy:
smart specialization
voivodeships (regions)
synthetic measures
industry
Opis:
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.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2020, 15, 4; 785-810
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On the Relationships Between Smart Growth and Cohesion Indicators in the EU Countries
Autorzy:
Bal-Domańska, Beata
Sobczak, Elżbieta
Powiązania:
https://bibliotekanauki.pl/articles/465697.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Tematy:
economic and social cohesion
smart growth
European Union countries
panel data analysis
Opis:
Within the framework of the Europe 2020 strategy smart growth is listed as one of the leading policy objectives aimed at improving the situation in education, digital society and research and innovation. The objective of this article is to evaluate the relationships between smart growth and economic and social cohesion factors. Aggregate measures were used to describe smart growth pillars. Here, social cohesion is described by the level of employment rate as one of the conditions essential to the well-being and prosperity of individuals. Economic cohesion is defined by the level of GDP per capita in PPS. Observation of these three phenomena forms the basis for the construction of panel data models and undertaking the assessment of the relationships between smart growth and economic and social cohesion factors. The study was performed on the group of 27 European Union countries in the period of 2002-2011.
Źródło:
Statistics in Transition new series; 2016, 17, 2; 249-264
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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