Methodological Approaches to the Evaluation of Innovation in Polish and Ukrainian Regions, Taking into Account Digitalization

Olha Popelo; Svitlana Tulchynska; Alona Revko; Mykola Butko; Marta Derhaliuk

doi:10.18778/1508-2008.25.04

Authors

Olha Popelo Dr. of Economic Sciences, Associate Professor, Chernihiv Polytechnic National University, Chernihiv, Ukraine https://orcid.org/0000-0002-4581-5129
Svitlana Tulchynska Dr. of Economic Sciences, Professor, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine https://orcid.org/0000-0002-1409-3848
Alona Revko Dr. of Economic Sciences, Professor, Chernihiv Polytechnic National University Chernihiv, Ukraine https://orcid.org/0000-0001-7888-3657
Mykola Butko Dr. of Economic Sciences, Professor, Chernihiv Polytechnic National University Chernihiv, Ukraine https://orcid.org/0000-0002-4349-1298
Marta Derhaliuk Ph.D. in Economics, Senior Lecturer of the Department of Economics and Entrepreneurship, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine https://orcid.org/0000-0002-9244-1625

DOI:

https://doi.org/10.18778/1508-2008.25.04

Keywords:

innovation, innovation activity, social innovation, infrastructure, modernization, digitization

Abstract

The article offers aqualimetric assessment of the innovation in regional economic systems, taking into account digitization. The study was based on the methodology of general scientific methods of cognition and special methods of scientific research in the field of the development of productive forces and regional economy. Namely, we used the dialectical method of scientific cognition to identify contradictions and interrelations of innovative development of the subjects of regional economic systems; analysis and synthesis to identify the mechanism for identifying and implementing priority areas of innovation in the regions; the grouping method for clustering regions according to the calculated values of the integrated index of innovation of the regions of Ukraine and Poland; statistical and economic‑mathematical modeling for calculations and modeling of innovation of regions, and other methods.The calculations and analysis of the values of integrated indices of innovation activity in the regions of Ukraine and Poland are performed. These regions are grouped according to this indicator. The cartographic analysis is presented, and the region leaders, region outsiders, and regions with the average value of the integrated index of innovation are singled out. This study has theoretical and applied significance for the development of productive forces and regional economy as it provides for the development of a methodological approach to assessing the innovation activity of the regions of Ukraine and Poland, taking into account digitalization processes.

Downloads

Download data is not yet available.

References

Avila‑Lopez, L.A., Lyu, Ch., Lopez‑Leyva, S. (2019), Innovation and growth: evidence from Latin American countries, “Journal of Applied Economics”, 22 (1), pp. 287–303, https://doi.org/10.1080/02102412.2019.1610624
Google Scholar DOI: https://doi.org/10.1080/02102412.2019.1610624

Falck, O., Koenen, J., Lohse, T. (2019), Evaluating a place‑based innovation policy: Evidence from the innovative Regional Growth Cores Program in East Germany, “Regional Science and Urban Economics”, 79, https://doi.org/10.1016/j.regsciurbeco.2019.103480
Google Scholar DOI: https://doi.org/10.1016/j.regsciurbeco.2019.103480

Fan, P., Urs, N., Hamlin, R.E. (2019), Rising innovative city‑regions in a transitional economy: A case study of ICT industry in Cluj‑Napoca, Romania, “Technology in Society”, 58, https://doi.org/10.1016/j.techsoc.2019.05.003
Google Scholar DOI: https://doi.org/10.1016/j.techsoc.2019.05.003

Gajdos, A., Żmurkow, E. (2013), Skilled Personnel Supply and the Prospects for Regional Innovative Development in Poland, “Comparative Economic Research. Central and Eastern Europe”, 15 (4), pp. 45–58, https://doi.org/10.2478/v10103-012-0025-7
Google Scholar DOI: https://doi.org/10.2478/v10103-012-0025-7

Hlaváček, P., Siviček, T. (2017), Spatial differences in innovation potential of central European regions during posttransformation period, “Journal of International Studies”, 10 (2), pp. 61–73, https://doi.org/10.14254/2071-8330.2017/10-2/4
Google Scholar DOI: https://doi.org/10.14254/2071-8330.2017/10-2/4

Inkinen, T. (2015), Reflections on the innovative city: examining three innovative locations in a knowledge bases framework, “Journal of Open Innovation: Technology, Market, and Complexity”, 1 (8), https://doi.org/10.1186/s40852-015-0009-5
Google Scholar DOI: https://doi.org/10.1186/s40852-015-0009-5

Ivanová, E., Masárová, A. (2016), Assessment of innovation performance of Slovak regions, “Journal of International Studies”, 9 (2), pp. 207–218, https://doi.org/10.14254/2071-8330.2016/9-2/16
Google Scholar DOI: https://doi.org/10.14254/2071-8330.2016/9-2/16

Popelo, O., Tulchynska, S., Garafonova, O., Kovalska, L., Khanin, S. (2021), Methodical approach to assessing innovative development efficiency of regional economic systems in the conditions of the creative economy development, “WSEAS Transactions on Environment and Development”, 17, pp. 685–695, http://doi.org/10.37394/232015.2021.17.66
Google Scholar DOI: https://doi.org/10.37394/232015.2021.17.66

Revko, A. (2017), Social Entrepreneurship as the Main Resource for the Regional Development, “Marketing and Management of Innovations”, 1, pp. 311–318, https://doi.org/10.21272/mmi.2017.1-28
Google Scholar DOI: https://doi.org/10.21272/mmi.2017.1-28

Richter, R. (2019), Rural social enterprises as embedded intermediaries: The innovative power of connecting rural communities with supra‑regional networks, “Journal of Rural Studies”, 70, pp. 179–187, https://doi.org/10.1016/j.jrurstud.2017.12.005
Google Scholar DOI: https://doi.org/10.1016/j.jrurstud.2017.12.005

Xu, Y., Li, A. (2020), The relationship between innovative human capital and interprovincial economic growth based on panel data model and spatial econometrics, “Journal of Computational and Applied Mathematics”, 365, https://doi.org/10.1016/j.cam.2019.112381
Google Scholar DOI: https://doi.org/10.1016/j.cam.2019.112381