Business Spending on Research and Development and its Relationship to Invention and Innovation
The paper deals with the problem of business spending on research and development and their relation to innovation activities. It is focused on R&D in the business sector as a crucial part of the innovation system. R&D expenditure can be seen as the main precondition of successful innovation. However, the successful transformation of R&D investment into invention or innovation cannot be guaranteed. Our main aim is to examine the relationship between business R&D expenditure, invention and innovation in the long-run. We also examine the level of business R&D expenditure in EU countries. The long-run causalities have been tested by using panel cointegration approach on the macro-level panel data for EU countries. The scope of inventions is proxied by the share of firms introducing product or service innovation as well as the number of patents registered. Based on our results, there appears to be a positive causal effect of business R&D expenditure on patenting in the long-run.
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Acs, Z. J., Audretsch, D. B. (1990), “The determinants of small-firm growth in US manufacturing”, Applied Economics, Vol. 22, No. 2, pp. 143-153.
Artz, K. W., Norman, P. M., Hatfield, D. E., Cardinal, L. B. (2010), “A longitudinal study of the impact of R&D, patents, and product innovation on firm performance”, Journal of Product Innovation Management, Vol. 27, No. 5, pp. 725-740.
Breitung, J. (2000), “The local power of some unit root tests for panel data”, in Baltagi, B. H. (Ed.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels (vol. 15), Elsevier, Amsterdam, pp. 161-177.
Breschi, S., Lissoni, F., Montobbio, F. (2005), “From publishing to patenting: Do productive scientists turn into academic inventors?”, Revue d'Économie Industrielle, Vol. 110, No. 1, pp. 75-102.
Bronzini, R., Piselli, P. (2016), “The impact of R&D subsidies on firm innovation”, Research Policy, Vol. 45, No. 2, pp. 442-457.
Cardinal, L. B., Hatfield, D. E. (2000), “Internal knowledge generation: the research laboratory and innovative productivity in the pharmaceutical industry”, Journal of Engineering and Technology Managemen, Vol. 17, No. 3-4, pp. 247-271.
Choi, I. (2001), “Unit root tests for panel data”, Journal of International Money and Finance, Vol. 20, No. 2, pp. 249-272.
Demirel, P., Mazzucato, M. (2012), “Innovation and firm growth: is R&D worth it?”, Industry and Innovation, Vol. 19, No. 1, pp. 45-62.
Etzkowitz, H., Leydesdorff, L. (2000), “The dynamics of innovation: from National Systems and “Mode 2” to a Triple Helix of university–industry–government relations”, Research Policy, Vol. 29, No. 2, pp. 109-123.
Freihat, A. R., Kanakriyah, R. (2017), “Impact of R&D expenditure on financial performance: Jordanian evidence”, European Journal of Business and Management, Vol. 9, No. 32, pp. 73-83.
Grant, R. M. (2016), Contemporary strategy analysis: Text and cases edition, John Wiley & Sons, Chichester.
Graves, S. B., Langowitz, N. S. (1996), “R&D productivity: a global multi-industry comparison”, Technological Forecasting and Social Change, Vol. 53, No. 2, pp. 125-137.
Hasan, I., Tucci, C. L. (2010), “The innovation–economic growth nexus: Global evidence”, Research policy, Vol. 39, No. 10, pp. 1264-1276.
Herrera, L., Muñoz-Doyague, M. F., Nieto, M. (2010), “Mobility of public researchers, scientific knowledge transfer, and the firm's innovation process”, Journal of Business Research, Vol. 63, No. 5, pp. 510-518.
Hunady, J., Pisar, P., Durcekova, I. (2019), “Business R&D Expenditure in the ICT Sector: effects on business performance indicators”, in ENTRENOVA-ENTerprise REsearch InNOVAtion Conference, 12-14 September, IRENET-Society for Advancing Innovation and Research in Economy, Rovinj, pp. 519-530.
Im, K. S., Pesaran, M. H. Shin, Y. (2003), “Testing for unit roots in heterogeneous panels. Journal of Econometrics”, Vol. 115, No. 1, pp. 53-74.
Kao, C. (1999), “Spurious regression and residual based Tests for cointegration in panel data”, Journal of Econometrics, Vol. 90, No. 1, pp. 1-44.
Karahan, Ö. (2015), “Intensity of business enterprise R&D expenditure and high-tech specification in european manufacturing sector”, Procedia – Social and Behavioral Sciences, Vol. 195, pp. 806-813.
Levin, A., Lin, C. F, Chu, C. S. J. (2002), “Unit root tests in panel data: Asymptotic and finite sample properties”, Journal of Econometrics, Vol. 108, No. 1, pp. 1-22.
Löfsten, H. (2014), “Product innovation processes and the trade-off between product innovation performance and business performance”, European Journal of Innovation Management, Vol. 17, No. 1, pp. 61-84.
Maddala, G. S., Wu, S. (1999), “A comparative study of unit root tests with panel data and a new simple test”, Oxford Bulletin of Economics and statistics, Vol. 61, No. S1, pp. 631-652.
Orviska, M., Hunady, J., Pisar, P., Hudson, J. (2019), “From academic publications and patents to the technological development of the economy: short and long run causalities”, Quality Innovation Prosperity, Vol. 23, No. 1, pp. 74-101.
Park, J. H., Lee, B., Moon, Y. H., Kim, G., Kwon, L. N. (2018), “Relation of R&D expense to turnover and number of listed companies in all industrial fields”, Journal of Open Innovation: Technology, Market and Complexity, Vol. 4, No. 1, pp. 1-15.
Pedroni, P. (2000), “Fully modified OLS for heterogeneous cointegrated panels”, Advances in Econometrics, Vol. 15, pp. 93-130.
Pedroni, P. (2004), “Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis”, Econometric Theory, Vol. 20, No. 3, pp. 597-625.
Peeters, C., de la Potterie, B. V. P. (2006), “Innovation strategy and the patenting behavior of firms”, Journal of Evolutionary Economics, Vol. 16, No. 1-2, pp. 109-135.
Penner‐Hahn, J., Shaver, J. M. (2005), “Does international research and development increase patent output? An analysis of Japanese pharmaceutical firms”, Strategic Management Journal, Vol. 26, No. 2, pp. 121-140.
Phillips, P. C. B., Moon, H. R. (1999), “Linear regression limit theory for nonstationary panel data”. Econometrica, Vol. 67, pp. 1057-111.
Pieri, F., Vecchi, M., Venturini, F. (2018), “Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach”, Research Policy, Vol. 47, No. 9, pp. 1842-1852.
Sandu, S., Ciocanel, B. (2014), “Impact of R&D and innovation of high-tech export”, Procedia Economics and Finance, Vol. 15, pp. 80-90.
Shen, K.-Y., Yan, M.-R., Tzeng, G.-H. (2017), “Exploring R&D influences on financial performance for business sustainability considering dual profitability objectives”, Sustainability, Vol. 9, No. 11, pp. 1-21.
Stankevice, I., Jucevicius, G. (2013), “Institutional vs. sectoral dimension of innovation strategies of firms”, Technological and Economic Development of Economy”, Vol. 19(sup1), pp. 360-382.
VanderPal, G. A. (2015), “Impact of R&D expenses and corporate financial performance”, Journal of Accounting and Finance, Vol. 15, No. 7, pp. 135-149.
Wang, D. H. M., Yu, T. H. K., Liu, H. Q. (2013), “Heterogeneous effect of high-tech industrial R&D spending on economic growth”, Journal of Business Research, Vol. 66, No. 10, pp. 1990-1993.
Zachariadis, M. (2003), “R&D innovation and technological progress: a test of Schumpeterian framework without scale effects”, Canadian Journal of Economics, Vol. 36, No. 3, pp. 566-586.