<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Research background:</bold> 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.<bold>Purpose</bold>: The purpose of the assessment was to identify smart specialisations in the Dolnośląskie voivodeship and evaluate their competitiveness against the background of other voivodeships.<bold>Research methodology:</bold> 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 – <italic>SMSS</italic>) 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 Economic Activities; NACE is the EU equivalent). The identification was carried out taking into account the period 2012–2017 and focused primarily on 2017.<bold>Results:</bold> 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.<bold>Novelty:</bold> 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.</abstract>

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 Economic Activities; 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.

Identification of Regional Smart Specialisations on the Basis of Aggregate Measures – A Case of the Dolnośląskie Voivodeship

Folia Oeconomica Stetinensia

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research background: Strengthening endogenous potentials, enhancing competitive advantage based on research and innovation remains an important component of...

Identification of Regional Smart Specialisations on the Basis of Aggregate Measures – A Case of the Dolnośląskie Voivodeship

Data publikacji: 20 sie 2020

Zakres stron: 62 - 80

Otrzymano: 15 paź 2019

Przyjęty: 29 mar 2020

DOI: https://doi.org/10.2478/foli-2020-0004

Słowa kluczowe
smart specialisations, Voivodeships, PKD (NACE) divisions, linear ordering methods

© 2020 Beata Bal-Domańska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Identification of Regional Smart Specialisations on the Basis of Aggregate Measures – A Case of the Dolnośląskie Voivodeship

Data publikacji: 20 sie 2020

Zakres stron: 62 - 80

Otrzymano: 15 paź 2019

Przyjęty: 29 mar 2020

DOI: https://doi.org/10.2478/foli-2020-0004

Słowa kluczowesmart specialisations, Voivodeships, PKD (NACE) divisions, linear ordering methods

© 2020 Beata Bal-Domańska et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
smart specialisations, Voivodeships, PKD (NACE) divisions, linear ordering methods