Structural and comparative analysis of R&D funding impact on the level of innovation development: The empirical evidence of GII’s leaders and Ukraine
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DOIhttp://dx.doi.org/10.21511/im.19(4).2023.25
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Article InfoVolume 19 2023, Issue #4, pp. 310-322
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The study aims to determine the influence of the R&D expenditure structure funded by different sectors of stakeholders on the level of innovation development. The data sample involves values of GII and R&D expenditure funded by business, government, higher education, private non-profit sectors, and foreign sources for 10 countries – Ukraine and 9 top countries in GII-2022 for 2011–2020. Pearson/Spearman correlation analysis considers time lags to determine the nature and strength of relationships. For GII’s top countries, the relationship with innovation development level is confirmed as direct for funding R&D by business (in 8 from 9 countries), higher education (5 from 7), and foreign sources (5 from 9) with power from moderate to very high and 0-3-year lag. In Ukraine, the direct relationship is for financing by business (very high power and 3-year lag) and foreign sources (high power and 1-year lag). The regression modeling of dependences (Arellano-Bover/Blundell-Bond dynamic model for panel data and linear model for Ukraine) was also applied using STATA 18. In GII’s top countries, increasing the share of R&D expenditures financed by business by 1% contributes to increasing GII’s score by 0.25%, higher education – 2.47%; government, non-profit sector, and foreign sources – decreasing by 0.89%, 1.68% and 0.81% accordingly. In Ukraine, increasing financing R&D by the government by 1% leads to a similar decrease of GII estimate by 0.19% with a 2-year lag, and the business sector – an increase of 0.16% with a 3-year time lag. Vice versa, in Ukraine, R&D expenditures financed by higher education lead to GII’s score decreasing.
- Keywords
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JEL Classification (Paper profile tab)H72, M21, М30, O32
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References53
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Tables4
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Figures2
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- Figure 1. Comparison of dynamics of R&D expenditures in GII’s top countries and in Ukraine compared with an average level of R&D expenditures in the EU and all over the world
- Figure 2. Structural analysis of R&D expenditure funded by different sectors of stakeholders in GII’s top countries and in Ukraine in 2020, taking into account a value of the general score of GII
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- Table 1. Shapiro-Wilk test
- Table 2. Correlation analysis of the relationship between financing of R&D expenditures by various stakeholder sectors and the level of innovation development
- Table 3. Systemic dynamic panel data modeling of the influence of funding structure of R&D expenditures on the level of innovation development
- Table 4. Linear regression modeling of the influence of funding structure of R&D expenditures on the level of innovation development in Ukraine
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- Afaishat, T.A., Khraim, H., & Al-Maadhedee, M. (2022). Effect of network strategic capabilities on digital transformation in Jordanian universities. Problems and Perspectives in Management, 20(3), 247-257.
- Afcha, S., & López, G. L. (2014). Public funding of R&D and its effect on the composition of business R&D expenditure. BRQ Business Research Quarterly, 17(1), 22-30.
- Ali-Yrkkö, J. (2005). Impact of public R&D financing on private R&D: Does financial constraint matter? (ENEPRI Working Paper No. 30). European Network of Economic Policy Research Institutes.
- Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68(1), 29-51.
- Berezhnytska, U., Dobrovolska, O., Uniiat, L., Shevchenko, A., Horiashchenko, Y., & Halaz, L. (2022). Institutional principles of intensifying the innovative development of small and medium agribusiness. Journal of Agriculture and Crops, 8(4), 275-282.
- Berman, E.M. (1990). The economic impact of industry-funded university R&D. Research Policy, 19(4), 349-355.
- Blikhar, V., Lukianova, H., Komarnytska, I., Vinichuk, M., & Gapchich, V. (2023). Problems of normative and legal regulation of the process of applying blockchain technology in the financial system of Ukraine. Financial and Credit Activity Problems of Theory and Practice, 3(50), 410-418.
- Blundell, R. W., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143.
- Blundell, R. W., Bond, S., & Windmeijer, F. (2000). Estimation in dynamic panel data models: Improving on the performance of the standard GMM estimator (IFS Working Papers No. W00/12). Institute for Fiscal Studies.
- Bozkurt, C. (2014). R&D expenditures and economic growth relationship in Turkey. International Journal of Economics and Financial Issues, 5(1), 188-198.
- Chen, Y., Xu, S., Lyulyov, O., & Pimonenko, T. (2023). China’s digital economy development: Incentives and challenges. Technological and Economic Development of Economy, 29(2), 518-538.
- Çimen, A., & Sağlam, Y. (2019). Comparison of sectoral performance of R&D expenditures: Analysing innovation based economic growth. Journal of Yasar University, 14(Special Issue), 58-68.
- Dritsaki, M., & Dritsaki, C. (2023). R&D expenditures on innovation: A panel cointegration study of the E.U. countries. Sustainability, 15(8), 6637.
- Erins, I., & Vitola, L. (2014). R&D expenditures by sectors of performance and analysis of performance indicators in the Baltic States. Procedia – Social and Behavioral Sciences, 156, 334-339.
- Eurostat. (n.d.). GERD by source of funds.
- Hunady, J., & Pisar, P. (2020). Business spending on research and development and its relationship to invention and innovation. Proceedings of the ENTRENOVA – ENTerprise REsearch InNOVAtion Conference, Virtual Conference (pp. 542-552). Zagreb.
- Ildırar, M., Özmen, M., & İşcan, E. (2016). The effect of research and development expenditures on economic growth: New evidences. Proceeding of International Conference on Eurasian Economies (pp. 36-43).
- INSEAD & WIPO. (2012). The Global Innovation Index 2012. Stronger innovation linkages for global growth (464 p.). France, Fontainebleau.
- INSEAD. (2011). The Global Innovation Index 2011 (381 p.). Accelerating Growth and Development. France, Fontainebleau.
- Ivanová, E., & Žárská, V. (2023). R&D expenditure as a determinant of the aggregate innovation index in the V4 countries. Innovative Marketing, 19(2), 87-100.
- Kozmenko, S., & Vasylieva, T. (2008). Specialized innovative investment banks in Ukraine. Banks and Bank Systems, 3(1), 48-56.
- Liu, K. (2023). Shanghai Stock Exchange’s science and technology innovation board: A review. Financial Markets, Institutions and Risks, 7(1), 1-15.
- Mallinguh, E., Wasike, C., Bilan, Y., & Zoltan, Z. (2022). The impact of firm characteristics, business competitiveness, and technology upgrade hurdles on R&D costs. Problems and Perspectives in Management, 20(4), 264-277.
- Mandryka, V., Mandryka, K., Yevdokymova, A., Matsenko, O., & Melnyk, L. (2023). Management decisions regarding innovative projects at their early stages of development: An example of a methodology for assessing crypto projects. Problems and Perspectives in Management, 21(4), 316-333.
- Melnyk, L., Matsenko, O., Kubatko, O., Korneyev, M., & Tulyakov, O. (2022). Additive economy and new horizons of innovative business development. Problems and Perspectives in Management, 20(2), 175-185.
- Ngo, T. T. A., Bui, C. T., Chau, H. K. L., & Tran, N. P. N. (2023). The effects of social media live streaming commerce on Vietnamese Generation Z consumers’ purchase intention. Innovative Marketing, 19(4), 269-283.
- Ojochide, P. F., Mubo, A. M., Oluwaseyi, P. A., Bunmi, A. S., & Ineba, D. L. (2023). E-service quality and customer loyalty in the e-commerce market, South West, Nigeria: Post-COVID-19. Innovative Marketing, 19(3), 114-122.
- Pakhnenko, O., & Kuan, Z. (2023). Ethics of digital innovation in public administration. Business Ethics and Leadership, 7(1), 113-121
- Pearson, K. (1896). Mathematical contributions to the theory of evolution.–III. Regression, heredity, and panmixia. Philosophical Transactions of the Royal Society of London, Series A, 187, 253-318.
- Pearson, K., & Filon, L. N. G. (1898). Mathematical contributions to the theory of evolution.–IV. On the probable errors of frequency constants and on the influence of random selection on variation and correlation. Philosophical Transactions of the Royal Society of London, Series A, 191, 229-311.
- Petrushenko, M., Burkynskyi, B., Shevchenko, H., & Baranchenko, Y. (2021). Towards sustainable development in a transition economy: The case of eco-industrial parks in Ukraine. Environmental Economics, 12(1), 149-164.
- Pisár, P., Ďurčeková, I., & Stachová, M. (2020). The contribution of innovation actors into business R&D funding – Does the substitution effect of public support work in the EU? E&M Economics and Management, 23(1), 121-134.
- Rzayev, A., & Samoilikova, A. (2020). Innovation financing structure as a factor of economic growth: Cross country analysis. Marketing and Management of Innovations, 3, 133-156.
- Shapiro, S. S., & Francia, R. S. (1972). An approximate analysis of variance test for normality. Journal of the American Statistical Association, 67(337), 215-216.
- Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611.
- Shkarupa, O., Vlasenko, D., Makedon, H., Bilan, S., & Serafimova, D. (2022). Economy of knowledge and transfer of innovations: Ukraine’s progress through the lens of European development trends. Knowledge and Performance Management, 6(1), 100-113.
- Šimáková, J., & Pražák, T. (2023). Impact of investment and R&D expenditures on company performance in the industry 4.0 era. Acta Oeconomica, 73(4), 561-577.
- Sokolov-Mladenović, S., Cvetanović, S., & Mladenović, I. (2016). R&D expenditure and economic growth: EU28 evidence for the period 2002–2012. Economic Research-Ekonomska Istraživanja, 29(1), 1005-1020.
- Spearman, C. E. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15(1), 72-101.
- Stata. (n.d.a). Arellano-Bover/Blundell-Bond linear dynamic panel-data estimation. Stata Manuals.
- Stata. (n.d.b). Correlations of variables. Stata Manuals.
- Stata. (n.d.c). Shapiro-Wilk and Shapiro-Francia tests for normality. Stata Manuals.
- Stata. (n.d.d). Spearman’s and Kendall’s correlations. Stata Manuals.
- Strielkowski, W., Samoilikova, A., Smutka, L., Civín, L., & Lieonov, S. (2022). Dominant trends in intersectoral research on funding innovation in business companies: A bibliometric analysis approach. Journal of Innovation & Knowledge, 7(4), 100271.
- Triyonowati, Elfita, R. A., Suwitho, & Mildawati, T. (2023). Does innovation efficiency affect financial performance? The role of ownership concentration. Investment Management and Financial Innovations, 20(1), 58-67.
- Tvaronaviciene, M., & Burinskas, A. (2021). Internal funding determinants of R&D expenditures for U.S. mature firms. Journal of International Studies, 14(1), 276-284.
- Ukrstat. (n.d.). Statistical publication: Scientific and innovation activities in Ukraine. State Statistics Service of Ukraine.
- WIPO. (2022). Global Innovation Index 2022. What is the future of innovation driven growth? (15th ed.) (89 p.). Geneva, Switzerland: WIPO.
- WIPO. (n.d.). Global Innovation Index Reports.
- World Bank. (n.d.a). Foreign direct investment, net inflows (% of GDP).
- World Bank. (n.d.b). Inflation, GDP deflator (annual %).
- World Bank. (n.d.c). Labor force participation rate, total (% of total population ages 15-64).
- World Bank. (n.d.d). Research and development expenditure (% of GDP).