Share:


Innovation, coopetition and spillover effects in European regions

    Irina Alina Popescu   Affiliation
    ; Paulo Reis Mourao Affiliation
    ; Yuriy Bilan Affiliation

Abstract

Innovation and investment are critical to economic growth. In this article, we address the complex task of evaluating the capacity of regional innovation to increase investment and generate spillovers in regions of the European Union (EU) from both spatial and temporal perspectives. Using panel data estimation methods and exploring the effects of dynamic spatial autocorrelation, our findings show a positive spatial autocorrelation at the level of EU regions. We also observed spatial competition, both in terms of the distribution of investments and in terms of the diffusion of short-term innovation gains. We argue that, in the short term, EU regions tend to behave as competitors for investment fixing, but in the long run, innovation has the potential to generate spillover effects on neighbouring regions. Furthermore, we find that investment patterns were characterized by a significant temporal autocorrelation, showing that shocks to investment in regions tend to be absorbed in a few periods. This paper attempts to fill existing gaps by using estimation methods for dynamic spatial panel data to identify and explore the effects of regional innovation on investment for the 154 European Union regions, and reports original findings as regards the knowledge spillover across European regions.

Keyword : coopetition, regional innovation system, knowledge spillover, investment, dynamic spatial panel model, dynamic spatial Durbin model (DSDM), regional innovation index

How to Cite
Popescu, I. A., Reis Mourao, P., & Bilan, Y. (2023). Innovation, coopetition and spillover effects in European regions. Journal of Business Economics and Management, 24(5), 818–840. https://doi.org/10.3846/jbem.2023.19890
Published in Issue
Dec 18, 2023
Abstract Views
513
PDF Downloads
442
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Anselin, L. (2005). Exploring spatial data with GeoDaTM: A workbook. Center for Spatially Integrated Social Science. https://www.geos.ed.ac.uk/~gisteac/fspat/geodaworkbook.pdf

Apostu, S. A., Tiron-Tudor, A., Socol, A., Ivan, O. R., Mihăescu, C., & Gogu, E. (2022). Determinants of foreign direct investment in the least developed countries: Static and dynamic panel data evidence. Economic Computation and Economic Cybernetics Studies and Research, 56(3), 21–36. https://doi.org/10.24818/18423264/56.3.22.02

Archibugi, D., Filippetti, A., & Frenz, M. (2013). The impact of the economic crisis on innovation: Evidence from Europe. Technological Forecasting and Social Change, 80(7), 1247–1260. https://doi.org/10.1016/j.techfore.2013.05.005

Asheim, B., & Isaksen, A. (1997). Location, agglomeration and innovation: Towards regional innovation systems in Norway?. European Planning Studies, 5(3), 299–330. https://doi.org/10.1080/09654319708720402

Audretsch, D. B., & Feldman, M. P. (1996). R&D spillovers and the geography of innovation and production. The American Economic Review, 86(3), 630–640.

Audretsch, D. B., Belitski, M., & Guerrero, M. (2022). The dynamic contribution of innovation ecosystems to Schumpeterian firms: A multi-level analysis. Journal of Business Research, 144, 975–986. https://doi.org/10.1016/j.jbusres.2022.02.037

Blonigen, B. A., & Kolpin, V. (2007). Technology, agglomeration, and regional competition for investment. Canadian Journal of Economics, 40, 1149–1167. https://doi.org/10.1111/j.1365-2966.2007.00446.x

Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74. https://doi.org/10.1080/0034340052000320887

Bostan, I., Toma, C., Aevoae, G., Robu, I. B., Neonila Mardiros, D., & Topliceanu, Ș. C. (2023). Effects of internal and external factors on economic growth in emerging economies: Evidence from CEE countries. Eastern European Economics, 61(1), 66–85. https://doi.org/10.1080/00128775.2022.2109489

Bottazzi, L., & Peri, G. (2003). Innovation and spillovers in regions: Evidence from European patent data. European Economic Review, 47(4), 687–710. https://doi.org/10.1016/S0014-2921(02)00307-0

Braczyk, H. J., Cooke, P., & Heidenreich, M. (1998). Regional innovation systems. The role of governance in a globalised world. Routledge.

Bruno, G., Choudhry Tanveer, M., Marelli, E., & Signorelli, M. (2017). The short- and long-run impacts of financial crises on youth unemployment in OECD countries. Applied Economics, 49(34), 3372–3394. https://doi.org/10.1080/00036846.2016.1259753

Caballero, R. J., & Engel, E. M. R. A. (1999). Explaining investment dynamics in U.S. Manufacturing: A generalized (S, s) approach. Econometrica, 67(4), 783–826. https://doi.org/10.1111/1468-0262.00053

Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6

Cooke, P. (1992). Regional innovation systems: Competitive regulations in the new Europe. Geoforum, 23(3), 365–382. https://doi.org/10.1016/0016-7185(92)90048-9

Cooke, P., Heidenreich, M., & Braczyk, H.-J. (2004). Regional innovation systems: The role of governance in a globalized world (2nd ed.). Routledge.

Corrado, C., Haskel, J., Jona-Lasinio, C., & Iommi, M. (2013). Innovation and intangible investment in Europe, Japan, and the United States. Oxford Review of Economic Policy, 29(2), 261–286. https://doi.org/10.1093/oxrep/grt017

Eilers, L. (2016). Spatial dependence in apartment offering prices in Hamburg. In Beiträge zur Jahrestagung des Vereins für Socialpolitik 2016: DemographischerWandel – Session: Applied Microeconomics I, No. E01-V1. ZBW – Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft, Kiel und Hamburg.

Elhorst, J. (2010). Spatial panel data models. In M. Fischer & A. Getis (Eds.), Handbook of applied spatial analysis (pp. 377–407). Springer. https://doi.org/10.1007/978-3-642-03647-7_19

European Commission. (2012). Regional Innovation Scoreboard. European Commission, Directorate-General for Enterprise and Industry. https://data.europa.eu/doi/10.2769/55659

European Commission. (2014). Regional Innovation Scoreboard. European Commission, Directorate-General for Enterprise and Industry. https://data.europa.eu/doi/10.2769/88893

European Commission. (2016). Regional Innovation Scoreboard. European Commission, Directorate-General for Enterprise and Industry. https://data.europa.eu/doi/10.2873/84730

European Commission. (2017). Regional Innovation Scoreboard. European Commission, Directorate-General for Enterprise and Industry. https://data.europa.eu/doi/10.2873/593800

European Commission. (2019). Regional Innovation Scoreboard. European Commission, Directorate-General for Enterprise and Industry. https://data.europa.eu/doi/10.2873/89165

Eurostat. (2021a). Gross domestic product (GDP) at current market prices by NUTS 2 regions. Table [nama_10r_2gdp].

Eurostat. (2021b). Gross fixed capital formation at constant prices by NUTS 2 regions. Table [nama_10r_2gfcf].

Fagerberg, J. (1987). A technology gap approach to why growth rates differ. Research Policy, 16(2–4), 87–99. https://doi.org/10.1016/0048-7333(87)90025-4

Fendoglu, E., & Konat, G. (2023). Asymmetric relationship between environmental protection expenditures and economic growth: Panel causality findings from selected OECD countries. Economic Computation and Economic Cybernetics Studies and Research, 57(1), 121–136. https://doi.org/10.24818/18423264/57.1.23.08

Fracasso, A., & Vittucci Marzetti, G. (2018). Estimating dynamic localization economies: The inadvertent success of the specialization index and the location quotient. Regional Studies, 52(1), 119–132. https://doi.org/10.1080/00343404.2017.1281388

Furková, A. (2019). Spatial spillovers and European Union regional innovation activities. Central European Journal of Operations Research, 27(3), 815–834. https://doi.org/10.1007/s10100-018-0581-4

Halásková, M. & Bednář, P. (2023). Effect of public and private sector R&D indicators on innovation performance and competitiveness: Case of the western European NUTS 2 regions. Journal of Competitiveness, 15(3), 104–121. https://doi.org/10.7441/joc.2023.03.06

Huber, F. (2012). Do clusters really matter for innovation practices in information technology? Questioning the significance of technological knowledge spillovers. Journal of Economic Geography, 12(1), 107–126. https://doi.org/10.1093/jeg/lbq058

Ibarra, C. (2018). Private investment and the effects of decentralisation and regional competition between Mexican cities. Advances in Economics and Business, 6(1), 62–80. https://doi.org/10.13189/aeb.2018.060105

Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogenous panels. Journal of Econometrics, 115(1), 53–74. https://doi.org/10.1016/S0304-4076(03)00092-7

Isaksen, A., Martin, R., & Tripple, M. (2018). New avenues for regional innovation systems and policy. In A. Isaksen, R. Martin, & M. Tripple (Eds.), New avenues for regional innovation systems – Theoretical advances, empirical cases and policy lessons (pp. 1–22). Springer. https://doi.org/10.1007/978-3-319-71661-9_1

Kijek, A., & Kijek, T. (2019). Knowledge spillovers: An evidence from the European regions. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), Article 68. https://doi.org/10.3390/joitmc5030068

King, R., & Levine, R. (1993). Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics, 108(3), 717–737. https://doi.org/10.2307/2118406

LeSage, J. P., & Pace, R. K. (2014). The biggest myth in spatial econometrics. Econometrics, 2(4), 1–33. https://doi.org/10.3390/econometrics2040217

Lewandowska, A., Stopa, M., & Inglot-Brzęk, E. (2021). Innovativeness and entrepreneurship: Socioeconomic remarks on regional development in peripheral regions. Economics and Sociology, 14(2), 222–235. https://doi.org/10.14254/2071-789X.2021/14-2/12

Lopes, J., Silveira, P., Farinha, L., Oliveira, M., & Oliveira, J. (2021). Analyzing the root of regional innovation performance in the European territory. International Journal of Innovation Science, 13(5), 565–582. https://doi.org/10.1108/IJIS-11-2020-0267

Marques, P., & Morgan, K. (2021). Innovation without regional development? The complex interplay of innovation, institutions, and development. Economic Geography, 97(5), 475–496. https://doi.org/10.1080/00130095.2021.1972801

Martini, B. (2020). The resilience of the Italian regions: A spatio-temporal panel analysis. Scienze Regionali, 1, 35–54.

Moral-Benito, E. (2009). Panel growth regressions with general predetermined variables: Likelihood – based estimation and Bayesian averaging. CEMFI WP 1006. http://conference.iza.org/conference_files/pada2009/moral-benito_e5185.pdf

Moreno, R., Paci, R., & Usai, S. (2005). Spatial spillovers and innovation activity in European regions. Environment and Planning A: Economy and Space, 37(10), 1793–1812. https://doi.org/10.1068/a37341

Mourao, P., & Popescu, I.A. (2022). Revisiting a macroeconomic controversy: The case of the multiplier–accelerator effect. Economies, 10, Article 249. https://doi.org/10.3390/economies10100249

Mourao, P., & Popescu, I. A. (2023). Investment, growth and competitiveness: The multiplier-accelerator in the 21st century. Journal of Competitiveness, 15(3), 60–78. https://doi.org/10.7441/joc.2023.03.04

Mourao, P., & Stawska, J. (2020). Governments as bankers – how European bonds have substituted bank deposits. Applied Economics, 52(42), 4605–4620. https://doi.org/10.1080/00036846.2020.1738328

Mourao, P., & Stawska, J. (2022). Fiscal and monetary interactions in the European countries: Panel data analysis. Applied Economics, 55(5), 562–576. https://doi.org/10.1080/00036846.2022.2091745

Neuländtner, M., & Scherngell, T. (2022). R&D networks and their effects on knowledge exploration versus knowledge exploitation: Evidence from a spatial econometric perspective. Industry and Innovation, 29(7), 847–878. https://doi.org/10.1080/13662716.2022.2063110

Oliinyk, O., Bilan, Y., & Mishchuk, H. (2021). Knowledge management and economic growth: The assessment of links and determinants of regulation. Central European Management Journal, 29(3), 20–39. https://doi.org/10.7206/cemj.2658-0845.52

Parent, O., & LeSage, J. (2008). Using the variance structure of the conditional autoregressive specification to model knowledge spillovers. Journal of Applied Econometrics, 23, 235–256. https://doi.org/10.1002/jae.981

Peiró-Palomino, J., & Perugini, F. (2022). Regional innovation disparities in Italy: The role of governance. Economic Systems, 46, Article 101009. https://doi.org/10.1016/j.ecosys.2022.101009

Popescu, A. I., & Mourao, P. (2016). Does regional openness stimulate vocational training in Romania?. Transformations in Business & Economics, 15(3), 220–238.

Raines, P. (2000). Regions in competition: Inward investment and regional variation in the use of incentives. Regional Studies, 34(3), 291–296. https://doi.org/10.1080/00343400050015122

Rodríguez-Pose, A., & Crescenzi, R. (2008). Research and development, spillovers, innovation systems, and the genesis of regional growth in Europe. Regional Studies, 42(1), 51–67. https://doi.org/10.1080/00343400701654186

Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in stata. Stata Journal, 9(1), 86–136. https://doi.org/10.1177/1536867X0900900106

Samoliuk, N., Bilan, Y., & Mishchuk, H. (2021). Vocational training costs and economic benefits: Exploring the interactions. Journal of Business Economics and Management, 22(6), 1476–1491. https://doi.org/10.3846/jbem.2021.15571

Scott, A. (1988). Flexible production systems and regional development: The rise of new industrial spaces in North America and western Europe. International Journal of Urban and Regional Research, 12(2), 171–185. https://doi.org/10.1111/j.1468-2427.1988.tb00448.x

Spescha, A., & Woerter, M. (2021). Research and development as an initiator of fixed capital investment. Journal of Evolutionary Economics, 31(1), 117–145. https://doi.org/10.1007/s00191-020-00681-9

Stachova, K., Stacho, Z., Raišienė, A. G., & Barokova, A. (2020). Human resource management trends in Slovakia. Journal of International Studies, 13(3), 320–331. https://doi.org/10.14254/2071-8330.2020/13-3/21

Štreimikienė, D., Mikalauskienė, A., & Macijauskaitė-Daunaravičienė, U. (2022). Role of information management in implementing the Green Deal in the EU and the US. Journal of International Studies, 15(4), 9–27. https://doi.org/10.14254/2071-8330.2022/15-4/1

Varga, A., Pontikakis, D., & Chorafakis, G. (2014). Metropolitan Edison and cosmopolitan Pasteur? Agglomeration and interregional research network effects on European R&D productivity. Journal of Economic Geography, 14(2), 229–263. https://doi.org/10.1093/jeg/lbs041

Vujanović, N., Radošević, S., Stojčić, N., Hisarciklilar, M., & Hashi, I. (2022). FDI spillover effects on innovation activities of knowledge using and knowledge creating firms: Evidence from an emerging economy. Technovation, 118, Article 102512. https://doi.org/10.1016/j.technovation.2022.102512

Wang, S., Wang, J., Wang, Y., & Wang, X. (2023). Spillover and re-spillover in China’s collaborative innovation. International Regional Science Review, 46(1), 38–68. https://doi.org/10.1177/01600176221092315

Wasiluk, A., & Ginevičius, R. (2020). Pro-innovative motives for establishing cooperation by enterprises: An empirical study in Poland. Economics and Sociology, 13(2), 258–278. https://doi.org/10.14254/2071-789X.2020/13-2/17

Wanzenböck, I., Scherngell, T., & Brenner, T. (2014). Embeddedness of regions in European knowledge networks: A comparative analysis of inter-regional R&D collaborations, copatents and co-publications. The Annals of Regional Science, 53(2), 337–368. https://doi.org/10.1007/s00168-013-0588-7

Wanzenböck, I., & Piribauer, P. (2018). R&D networks and regional knowledge production in Europe: Evidence from a Space-time Model. Papers in Regional Science, 97, S1–S24. https://doi.org/10.1111/pirs.12236

Xu, Y., Li, X., Tao, C., & Zhou, X. (2022). Connected knowledge spillovers, technological cluster innovation and efficient industrial structure. Journal of Innovation & Knowledge, 7, Article 100195. https://doi.org/10.1016/j.jik.2022.100195