<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The industrial sector of the Polish economy plays an important role in ensuring the socio-economic development of the country. The Polish industry accounts for 24.1 % of the country’s employed population and 25.1 % of the GVA. The article aims to model the structural parameters of the Polish industrial sector according to the criterion of increasing product innovation level based on a comprehensive assessment of the Polish industry performance in the regional context. The offered method focuses on estimating the industrial sector at the macro and meso levels using a set of indicators for investment, innovation, labour activity, and profitability. Correlation-regression analysis methods were used to prove hypotheses about the impact of product innovation on employment and wages in the industry. To optimise the structure of the Polish industrial sector, an economic-mathematical model was developed, which was solved using the linear programming method. The target functionality of this model is the level of product innovation, at which the gross average monthly wage of Polish industry workers will double (to the EU average). The simulation results, which was based on data from the Central Statistical Office of Poland, provide an analytical basis for selecting industrial policy benchmarks for Poland.</p>
</abstract>

The industrial sector of the Polish economy plays an important role in ensuring the socio-economic development of the country. The Polish industry accounts for 24.1 % of the country’s employed population and 25.1 % of the GVA. The article aims to model the structural parameters of the Polish industrial sector according to the criterion of increasing product innovation level based on a comprehensive assessment of the Polish industry performance in the regional context. The offered method focuses on estimating the industrial sector at the macro and meso levels using a set of indicators for investment, innovation, labour activity, and profitability. Correlation-regression analysis methods were used to prove hypotheses about the impact of product innovation on employment and wages in the industry. To optimise the structure of the Polish industrial sector, an economic-mathematical model was developed, which was solved using the linear programming method. The target functionality of this model is the level of product innovation, at which the gross average monthly wage of Polish industry workers will double (to the EU average). The simulation results, which was based on data from the Central Statistical Office of Poland, provide an analytical basis for selecting industrial policy benchmarks for Poland.

Optimisation of structural parameters of the industry by the criterion of product innovation

Engineering Management in Production and Services

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

The industrial sector of the Polish economy plays an important role in ensuring the socio-economic development of the country. The Polish industry accounts for...

Optimisation of structural parameters of the industry by the criterion of product innovation

Online veröffentlicht: 30. Okt. 2021

Seitenbereich: 7 - 24

Eingereicht: 15. März 2021

Akzeptiert: 20. Juli 2021

DOI: https://doi.org/10.2478/emj-2021-0018

Schlüsselwörter
industry, efficiency, product innovation, production, models, structure, optimisation

© 2021 Svitlana Ishchuk et al., published by Sciendo

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

Optimisation of structural parameters of the industry by the criterion of product innovation

Online veröffentlicht: 30. Okt. 2021

Seitenbereich: 7 - 24

Eingereicht: 15. März 2021

Akzeptiert: 20. Juli 2021

DOI: https://doi.org/10.2478/emj-2021-0018

Schlüsselwörterindustry, efficiency, product innovation, production, models, structure, optimisation

© 2021 Svitlana Ishchuk et al., published by Sciendo

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

Schlüsselwörter
industry, efficiency, product innovation, production, models, structure, optimisation