Patterns of Added Value and Innovation in Europe — With Special Regards to Metropolitan Regions of CEE
DOI:
https://doi.org/10.17059/ekon.reg.2022-1-18Abstract
The increasing territorial inequalities are raising a huge challenge for the European Union. There are significant differences among the given parts of Europe in terms of gross domestic product (GDP) per capita. Innovation and added value are also important indicators of regional economic development, and competitiveness. For example, improving innovation performance can enhance the national competitiveness. This research analyses the patterns of gross value added (GVA) and innovation (with special regards to the patent applications) in the European NUTS3 (county level) regions. The aim is to identify the major tendencies of concentration in the European spatial structure and to see the trends of change in the indicators. Metropolitan regions were analysed as special areas. The research question was whether the values of gross value added and the patent applications are concentrating in metropolitan areas, or there are significant hot spots outside them. It is hypothesised that because of the concentration of capital, most patent applications are also concentrated in the metropolitan areas of Europe. This hypothesis was tested using spatial econometric methods. The results show that the metropolitan regions have a significant contribution to GVA and patent applications of the European Union. In 2015, 65.7 % of all GVA and 57.1 % of all patent applications were concentrating in the metropolitan regions of Europe. The spatial autocorrelation is a significant factor in the case of both indicators. The complex (economic and innovation) index shows great Western-eastern, Northern-southern differences, the best position of South Germany, and the peripheral situation of CEE (Central and Eastern Europe) metro regions. Basic shortcomings/limitations of research can be found in the innovation data, as the number of patent applications is not published every year.
References
Abdulhafedh, A. (2017). A Novel Hybrid Method for Measuring the Spatial Autocorrelation of Vehicular Crashes: Combining Moran’s Index and Getis-Ord Gi* Statistic. Open Journal of Civil Engineering, 7, 208–221.
Acs, Z., Anselin, L. & Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge. Research Policy 31(7), 1069–1085. DOI: https://doi.org/10.1016/S0048–7333(01)00184–6.
Alcidi, C., Ferrer, J. N., Di Salvo, M., Musmeci, R. & Pilati, M. (2018). Income Convergence in the EU: A tale of two speeds. Retrieved from: https://www.ceps.eu/system/files/ConvergencePDF.pdf (Date of access: 18.01.2019).
Anselin, L. (2016). Local Spatial Autocorrelation Clusters. Retrieved from: https://spatial.uchicago.edu/sites/spacial-data.uchicago.edu/files/6a_local_SA_r.pdf (Date of access: 24.01.2019).
Anselin, L. & Bera, A. K. (1998). Spatial Dependence in linear Regression Models with an Introduction to Spatial Econometrics. In: Handbook of Applied Economic Statistics (pp. 237–289). Marcel Dekker, NY.
Benedek, J. & Kurkó, I. (2011). Evolution and Characteristics of Territorial Economic Disparities in Romania. Theory Methodology and Practice. 7, 5–15.
Ciocanel, A. B. & Pavelescu, F. M. (2015). Innovation and competitiveness in European context. Procedia Economics and Finance, 32, 728–737. DOI: https://doi.org/10.1016/S2212–5671(15)01455–0.
Dommergues, P. (1992). The Strategies for International and Interregional Cooperation. Ekistics, 352–353, 7–12.
Dusek, T. (2004). A területi elemzések alapjai [Basics of spatial analysis]. Regionális tudományi tanulmányok 10. Budapest: ELTE Regionális Földrajzi Tanszék, MTA ELTE Regionális Tudományi Kutatócsoport. (In Hung.)
European Commission. (2017). Regional Innovation Scoreboard 2017. Retrieved from: https://ec.europa.eu/docsroom/documents/31491/attachments/1/translations/en/renditions/native (Date of access: 21.01.2019).
European Commission. (2019a). Regional Innovation Scoreboard 2019. Retrieved from: https://ec.europa.eu/growth/sites/growth/files/ris2019.pdf (Date of access: 25.05.2020).
European Commission. (2019b). Metropolitan regions — background. Retrieved from: https://clck.ru/3Rahga (Date of access: 22.01.2019).
Getis, A. & Ord, J. K. (1992). The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, 24, 189–206. DOI: DOI: http://dx.doi.org/10.1111/j.1538–4632.1992.tb00261.x.
Gorzelak, G. (2012). The Regional Dimension of Transformation in Central Europe. Routledge, London.
Guastella, G. & Timpano, F. (2016). Knowledge, innovation, agglomeration and regional convergence in the EU: motivating place-based regional intervention. Review of Regional Research, 36(2), 121–143. FOI: https://doi.org/10.1007/s10037–015–0104-x.
Hospers, G. J. (2003). Beyond the Blue Banana? Structural change in Europe’s geo-economy. Intereconomics, 38(2), 76–85. DOI: https://doi.org/10.1007/BF03031774.
Howaldt, J., Kaletka, Ch., Schröder, A., Rehfeld, D. & Terstriep, J. (2016). Mapping the World of Social Innovation. Key Results of a Comparative Analysis of 1.005 Social Innovation Initiatives at a Glance. Retrieved from: https://www.si-drive.eu/wp-content/uploads/2016/12/SI-DRIVE-CA-short-2016–11–30-Druckversion.pdf (Date of access: 13.08.2018).
Iammarino, S., Rodríguez-Pose, A. & Storper, M. (2018). Regional inequality in Europe: evidence, theory and policy implications; Papers in Evolutionary Economic Geography (PEEG) 1817, Utrecht University. DOI: https://doi.org/10.1093/jeg/lby021.
Kincses, Á., Nagy, Z. & Tóth, G. (2014). Modelling the spatial structure of Europe. Regional Statistics, 4(2), 40–54. DOI: https://doi.org/10.15196/RS04203.
Kunzmann, K. R. (1992). On the development of urban systems in Europe. Mitteilungen der Österreichischen geographischen Gesellschaft [Annals of the Austrian Geographical Society], 134, 25–50. (In Germ.)
Lee, N. & Rodríguez-Pose, A. (2013). Innovation and spatial inequality in Europe and the USA. Journal of Economic Geography, 13, 1–22. DOI: http://dx.doi.org/10.1093/jeg/lbs022.
Lim, J. D. (2006). Regional Innovation System and Regional Development: Survey and a Korean case. Working Paper Series Vol. 05. Retrieved from: http://en.agi.or.jp/workingpapers/WP2006–05.pdf (Date of access: 21.01.2019).
Matkowski, Z., Próchniak, M. & Rapacki, R. (2016). Real Income Convergence between Central Eastern and Western Europe: Past, Present, and Prospects. 33rd CIRET (Centre for International Research on Economic Tendency Surveys) Conference on Economic Tendency Surveys and Economic Policy Copenhagen, Denmark, September 14 — September 17, 2016.
Nagyné Molnár, M. (2007). Main contexts of territorial inequalities. In: Regionális gazdaságtan [Regional Economics] (pp. 166–205). Szerkesztette: Káposzta József, DE Kiadó, Debrecen. (In Hung.)
Nemes-Nagy J. (1990). Dimensions of territorial inequalities. Tér és Társadalom [Space and Society], 4(2), 15–30.
Paas, T. & Schlitte, F. (2007). Regional Income Inequality and Convergence Processes in the EU-25. HWWI Research Programme Hamburg and Regional Development, Paper 1–11. Retrieved from: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa06/papers/229.pdf (Date of access: 13.04.2019)
Paas, T. & Vahi, T. (2012). Economic Growth, Convergence and Innovation in the EU Regions. Discussions on Estonian Economic Policy: Theory and Practice of Economic Policy, 20(1).
Rehfeld, D., Terstriep, J., Welchhoff, J. & Alijani, S. (2015). Comparative Report on Social Innovation Framework. SIMPACT Working Paper. Retrieved from: http://www.simpact-project.eu/publications/reports/SIMPACT_D11.pdf (Date of access: 03.02.2019).
Romer, P. (1994). The Origins of Endogenous Growth. The Journal of Economic Perspectives, 8(1), 3–22. DOI: https://doi.org/10.1257/jep.8.1.3
Runiewicz-Wardyn, M. (2013). Knowledge Flows, Technological Change and Regional Growth in the European Union. Springer, Switzerland.
Sabatino, M. & Talamo, G. (2017). Innovation and Competitiveness of European Regions. Research in Applied Economics, 9(3), 45–69. DOI: https://doi.org/10.5296/rae.v9i3.11642.
Szendi, D. (2018). Local Level Opportunities of the Social Innovation Potential Measuremen. Erdélyi Társadalom [Transylvanian Society], 16(1), 31–58. DOI: 10.17177/77171.207.
Szendi, D. & Papp, A. (2017). Spatial patterns of innovation in the European Union. In: I. Piskóti (Ed.), Marketingkaleidoszkóp 2017: Tanulmányok a Marketing és Turizmus Intézet kutatási eredményeiből [Marketing Kaleidoscope 2017: Studies from the research results of the Institute of Marketing and Tourism] (pp. 157–169). Miskolc.
Terstriep, J., Kleverbeck, M., Deserti, A. & Rizzo, F. (2015). Comparative Report on Social Innovation across Europe. Deliverable D3.2 of the project «Boosting the Impact of SI in Europe through Economic Underpinnings» (SIMPACT), European Commission, Brussels. Retrieved from: http://www.simpact-project.eu/publications/reports/SIMPACT_D32.pdf (Date of access: 19.01.2018).
Tobler, W., R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, 234–240. DOI: https://doi.org/10.2307/143141.
van der Meer, L. (1998). Red Octopus. In: W. Blaas (Ed.), A New Perspective for European Spatial Development Policies (pp. 9–19). Ashgate, Aldershot.
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