UDC 330.338; JEL O30, O40, O50
Ishchuk, S. O., & Sozanskyy, L. Y. (2025). Modelyuvannya zalezhnostey mizh rivnem innovatsiynosti produktsiyi i zaynyatistyu ta oplatoyu pratsi u promyslovosti [Modeling the relationships between product innovativeness, employment, and wages in the industrial sector]. In Sotsial'no-ekonomichni problemy suchasnoho periodu Ukrayiny [Socio-Economic Problems of the Modern Period of Ukraine]: Vol. 173 (3) (pp. 73-79). DOI: https://doi.org/10.36818/2071-4653-2025-3-9 [in Ukrainian].
Sources: 13

Authors



Ishchuk Svitlana Oleksiyivna

Doctor of Economics, Professor

Deputy Director for Scientific Work, Head of the Department of problems of the real sector of regions' economy of the Dolishniy Institute of Regional Research of NAS of Ukraine

Contacts: iso.ird@ukr.net, (032)270-7093, (066)212-3829

Webpages:

Sozanskyy Lyubomyr Yosypovych

Doctor of Economics, Senior Researcher

Leading Researcher, Scientific Secretary of the unit of the Department of problems of the real sector of regions' economy of the Dolishniy Institute of Regional Research of NAS of Ukraine

Contacts: ls.ird2@ukr.net

Webpages:

Resume

The innovative activity of industrial enterprises is a key prerequisite for a country’s socio-economic development and the strengthening of its defense capabilities. Innovation drives growth in labor productivity, added value, and profitability. This article aims to model the relationships between innovation and employment, as well as between innovation and wages in the industrial sector of the economy. It shows that identifying the patterns of how the level of product innovativeness influences employment and remuneration in industry is only possible through empirical research based on long-term trends in the functioning of a relatively stable economy such as that of the European Union. Ukraine’s gradual progress toward EU membership, as a strategic development path, emphasizes the relevance of scientific inquiry in this area, particularly in view of the potential to extrapolate certain findings to the national economy. Given the significant similarities between Ukraine and Poland as neighboring countries with comparable socio-economic indicators, the study of innovation dynamics in Polish industry is of particular relevance. Accordingly, the empirical validation of the hypotheses proposed by the authors of this study was carried out using correlation-regression analysis of official data from Statistics Poland. The authors propose two fundamental hypotheses that capture the regularities of how product innovativeness (measured as the share of net revenues from the sale of innovative products in the total net revenues of industrial enterprises) influence employment and wage levels and empirically substantiate them using the example of Poland’s industrial sector. Based on the correlation-regression analysis, the study demonstrates a strong positive relationship between product innovativeness and the share of industry in the overall employment structure. A regression model is constructed to estimate how employment in Polish industry changes with a one-percentage-point increase in product innovativeness. The authors also confirm the hypothesis that rising product innovativeness positively influences the growth of gross average monthly wages in the industrial sector. A quadratic nonlinear regression model is developed, enabling highly accurate forecasting of changes in gross average monthly wages in Polish industry based on shifts in product innovativeness. The modeling results provide a scientific foundation for strategic macroeconomic planning and socio-economic forecasting, and serve as a theoretical platform for further research in this field.

Keywords:

industry, innovative products, employment, wages, correlation-regression analysis, models

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