Issue: № 4, 2026
Doi: https://doi.org/10.37634/efp.2026.4.6
The purpose of the paper is to develop a theoretical and methodological framework for the economic assessment of the impact of technological innovations on national economic development through the integration of indicator-based, econometric, and macroeconomic analytical approaches. The methodological basis of the paper combines systemic, structural-functional, and evolutionary approaches to the analysis of technological change. The research employs methods of theoretical generalization, comparative analysis of scientific concepts, and synthesis of modern approaches to innovation measurement. Indicator-based methods of innovation assessment are applied using international statistical standards for measuring research and development activities, while econometric tools such as extended production functions, panel regression analysis, and the CDM model are used to evaluate the relationship between R&D investment, innovation performance, and productivity growth. The paper demonstrates that technological innovations represent a fundamental driver of long-term economic growth and structural transformation. The results confirm the importance of key innovation indicators such as R&D expenditure, patent activity, total factor productivity, and innovation indexes for measuring technological development and assessing its economic effects. The scientific novelty of the paper lies in the conceptual integration of indicator-based measurement systems, econometric modeling techniques, and macroeconomic growth models for the comprehensive assessment of the economic impact of technological innovations. The practical significance of the research results lies in the possibility of applying the proposed methodological approach for the development of innovation policy and strategic economic planning, particularly for assessing national innovation systems and identifying priority sectors for technological modernization. The paper confirms that technological innovation plays a decisive role in shaping modern economic development patterns, while the integration of indicator-based, econometric, and macroeconomic approaches provides a more comprehensive understanding of innovation processes and their economic effects.
Keywords : technological innovation, economic growth, national economy, innovation development, econometric analysis, innovation multiplier effect, technological progress
References:
1. Solow R.M. Technical Change and the Aggregate Production Function. The Review of Economics and Statistics. 1957. Vol. 39, No. 3. pp. 312–320. DOI: 10.2307/1926047
2. Romer P. M. Endogenous Technological Change. Journal of Political Economy. 1990. Vol. 98, No. 5. Part 2. pp. S71–S102. DOI: 10.1086/261725
3. Aghion P., Howitt P. A Model of Growth Through Creative Destruction. Econometrica. 1992. Vol. 60, No. 2. pp. 323–351. DOI: 10.2307/2951599
4. Griliches Z. Issues in Assessing the Contribution of Research and Development to Productivity Growth. Bell Journal of Economics. 1979. Vol. 10, No. 1. pp. 92–116. DOI: 10.2307/3003321
5. Freeman C. The “National System of Innovation” in Historical Perspective. Cambridge Journal of Economics. 1995. Vol. 19, No. 1. pp. 5–24. DOI: 10.1093/oxfordjournals.cje.a035309
6. Fagerberg J., Verspagen B. Technology-gaps, Innovation-diffusion and Transformation: An Evolutionary Interpretation. Research Policy. 2002. Vol. 31, No. 8–9. pp. 1291–1304. DOI: 10.1016/S0048-7333(02)00064-1
7. Acemoglu D. Introduction to Modern Economic Growth. Princeton, 2009. 1008 p.
8. OECD, Eurostat. Oslo Manual 2018: Guidelines for Collecting, Reporting and Using Data on Innovation. Paris, 2018. 258 p. DOI: 10.1787/9789264304604-en
9. Crépon B., Duguet E., Mairesse J. Research, Innovation and Productivity: An Econometric Analysis at the Firm Level. Economics of Innovation and New Technology. 1998. Vol. 7, No. 2. pp. 115–158. DOI: 10.1080/10438599800000016.
10. Hall B.H., Mairesse J. Exploring the Relationship between R&D and Productivity in French Manufacturing Firms. Journal of Econometrics. 1995. Vol. 65, No. 1. pp. 263–293. DOI: 10.1016/0304-4076(94)01604-X
11. Jorgenson D.W., Ho M.S., Stiroh K.J. A Retrospective Look at the U.S. Productivity Growth Resurgence. Journal of Economic Perspectives. 2008. Vol. 22, No. 1. pp. 3–24. DOI: 10.1257/jep.22.1.3
12. Castellacci F. Technological Paradigms, Regimes and Trajectories: Manufacturing and Service Industries in a New Taxonomy of Sectoral Patterns of Innovation. Research Policy. 2008. Vol. 37, No. 6–7. pp. 978–994. DOI: 10.1016/j.respol.2008.03.011
13. Crespi G., Zuniga P. Innovation and Productivity: Evidence from Six Latin American Countries. World Development. 2012. Vol. 40, No. 2. pp. 273–290. DOI: 10.1016/j.worlddev.2011.07.010
14. European Commission. European Innovation Scoreboard 2023. Luxembourg: Publications Office of the European Union, 2023. 104 p. DOI: 10.2777/119961
15. World Bank. Innovation Policy: A Guide for Developing Countries. Washington, DC, 2010. 418 p. DOI: 10.1596/978-0-8213-8269-1
16. OECD. Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development. Paris: OECD Publishing, 2015. 398 p. DOI: 10.1787/9789264239012-en
17. Aghion P., Howitt P. Endogenous Growth Theory. Cambridge, 1998. 694 p.
18. Fagerberg J., Verspagen B. Innovation–diffusion, the Economy and Contemporary Challenges: A Comment. Industrial and Corporate Change. 2020. Vol. 29, No. 4. pp. 1067–1073. DOI: 10.1093/icc/dtaa019