dc.contributor.author | Olejnik, Alicja | |
dc.contributor.author | Żółtaszek, Agata | |
dc.date.accessioned | 2020-03-20T16:36:35Z | |
dc.date.available | 2020-03-20T16:36:35Z | |
dc.date.issued | 2020-03-20 | |
dc.identifier.uri | http://hdl.handle.net/11089/31764 | |
dc.description.abstract | This paper investigates factors of innovation and their role in regional economic performance
for a sample of 261 EU NUTS 2 regions over 2009–2012. In our study, we identify regions with
spillover as well as drain effects of innovation factors on economic performance. The spatial
analysis indicates that both regional innovativeness and regional development, are strongly
determined by the region’s location and neighbourhood, with severe consequences for the
Eastern and Central Europe.
We assessed the impact of innovation factors and their spatial counterparts on economic
performance by spatial Durbin panel model. The model is designed to test the existence and
strength of country-effect of innovativeness on the level of regional economic status. This
allows for controlling the country-specific socio-economic factors, without reducing the
number of degrees of freedom. Our model shows that regions benefit economically from their
locational spillovers in terms of social capital. However, the decomposition of R&D
expenditures revealed competition effect between internal R&D and external technology
acquisition favouring in-house research over the outsourced ones. | pl_PL |
dc.language.iso | en | pl_PL |
dc.relation.ispartofseries | Lodz Economics Working Papers;2 | |
dc.subject | regional innovation | pl_PL |
dc.subject | patterns of innovation | pl_PL |
dc.subject | spatial spillover | pl_PL |
dc.subject | common factors | pl_PL |
dc.subject | spatial panel econometric model | pl_PL |
dc.title | Tracing The Spatial Patterns Of Innovation Determinants In Regional Economic Performance | pl_PL |
dc.type | Working Paper | pl_PL |
dc.page.number | 1-24 | pl_PL |
dc.contributor.authorAffiliation | University of Lodz | pl_PL |
dc.contributor.authorAffiliation | University of Lodz | pl_PL |
dc.references | Anselin, L., Varga, A. and Acs, Z. (1997), Local Geographic Spillovers between University Research and High Technology Innovations, ‘Journal of Urban Economics’ 42(3). | pl_PL |
dc.references | Anselin, L. (1998), Spatial Econometrics: Methods and Models. Kluwer, Dordrecht. | pl_PL |
dc.references | Anselin, L., Le Gallo, J., and Jayet H. (2008), Spatial panel econometrics, [in:] Mátyás, L. and Sevestre, P., (ed.) The econometrics of panel data, fundamentals and recent developments in theory and practice, 3 rd ed., Kluwer, Dordrecht. | pl_PL |
dc.references | Anselin, L. (2016), (accessed: 23.02.2020): https://s3.amazonaws.com/geoda/software/docs/geoda_1.8_2.pdf | pl_PL |
dc.references | Bilbao–Osorio, B. and Rodríguez–Pose, A. (2004), From R&D to Innovation and Economic Growth in the EU, ‘Growth and Change’, 35(4). | pl_PL |
dc.references | Boschma, R. (2005), Proximity and innovation – a critical assessment, ‘Regional Studies’, 39(1). | pl_PL |
dc.references | Brouwer, E. and Kleinknecht, A. (1999), Innovative output, and a firm’s propensity to patent. An exploration of CIS micro data, ‘Research Policy’, 28(6). | pl_PL |
dc.references | Cabrer–Borrás, B. and Serran–Domingo, G. (2007), Innovation and R&D spillover effects in Spanish regions: A spatial approach, ‘Research Policy;’, 36. | pl_PL |
dc.references | Caragliu, A., Nijkamp, P. (2012), The impact of regional absorptive capacity on spatial knowledge spillovers: the Cohen and Levinthal model revisited, ‘Applied Economics’, 44. | pl_PL |
dc.references | Cliff, A. D. and Ord, J. K. (1981), Spatial processes: models and applications. Taylor & Francis. | pl_PL |
dc.references | Corrado, C., Hulten, Ch. Sichel, D. (2009), Intangible capital and U.S. economic growth, ‘The Review of Income and Wealth’, 55(3). | pl_PL |
dc.references | Corrado, C., Haskel J., Jona–Lasinio C. (2017), Knowledge Spillovers, ICT and Productivity Growth, ‘Oxford Bulletin of Economics and Statistics’, 79(4). | pl_PL |
dc.references | Crescenzi, R., Rodríguez–Pose, A., Storper, M. (2007), The territorial dynamics of innovation: a Europe – United States comparative analysis, ‘Journal of Economic Geography’. | pl_PL |
dc.references | De Dominicis, L., Florax, R. J.G.M. and de Groot, H. L. F. (2013), Regional clusters of innovative activity in Europe: are social capital and geographical proximity key determinants? ‘Applied Economics’, 45(17). | pl_PL |
dc.references | Elhorst, J. P. (2014), Spatial Panel Models, [in:] Fischer, M. and Nijkamp, P., (ed.) Handbook of Regional Science, Berlin, Springer. | pl_PL |
dc.references | Elhorst, J. P., Gross M. and Tereanu E. (2018), Spillovers in space and time: where spatial econometrics and Global VAR models meet, European Central Bank, Frankfurt, Working Paper Series, No 2134. | pl_PL |
dc.references | Educational attainment statistics (accessed: 23.02.2020): http://ec.europa.eu/eurostat/statistics- explained/index.php/Educational_attainment_statistics | pl_PL |
dc.references | European Innovation Scoreboard 2016 (accessed: 23.02.2020): https://op.europa.eu/en/publication-detail/-/publication/693eaaba-de16-11e6-ad7c- 01aa75ed71a1/language-en/format-PDF/source-31233711 | pl_PL |
dc.references | Eurostat Regional Database (accessed: 23.02.2020): https://ec.europa.eu/eurostat/web/regions/data/database | pl_PL |
dc.references | Frascati Manual, 2002 edition, § 63 (accessed: 23.02.2020): https://www.oecd- ilibrary.org/science-and-technology/frascati-manual-2002_9789264199040-en | pl_PL |
dc.references | Global Innovation Index 2016 report (accessed: 23.02.2020): http://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2016.pdf | pl_PL |
dc.references | Gonçalves, E. and ALMEIDA, E. S. (2009), Innovation and Spatial Knowledge Spillovers: Evidence from Brazilian Patent Data, ‘Regional Studies’, 43(4). | pl_PL |
dc.references | Granovetter, M. (2005), The impact of social structure on economic outcomes, ‘Journal of Economic Perspectives’, 19(1). | pl_PL |
dc.references | Griliches, Z. (1979), Issues in assessing the contribution of research and development to productivity growth, ‘Bell Journal of Economics’, 10(1). | pl_PL |
dc.references | Halleck, V. S. and Elhorst J.P. (2016), A regional unemployment model simultaneously accounting for serial dynamics, spatial dependence and common factors, ‘Regional Science and Urban Economics’, 60. | pl_PL |
dc.references | Jaffe, A. B. (1989), Real effects of academic research, ‘American Economic Review’, 79(5). | pl_PL |
dc.references | Kelejian, H. H. and Prucha, I. R. (1998), A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances, ‘The Journal of Real Estate Finance and Economics’, 17(1). | pl_PL |
dc.references | Kelejian, H. H. and Prucha, I. R. (2010), Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances, ‘Journal of Econometrics’, 157(1). | pl_PL |
dc.references | LeSage, J. and Pace, R. K. (2009), Introduction to Spatial Econometrics, Taylor & Francis Group. | pl_PL |
dc.references | Moran, P. A. P. (1948), The Interpretation of Statistical Maps, ‘Journal of the Royal Statistical Society’, Series B (Methodological), 10(2). | pl_PL |
dc.references | Olejnik J. and Olejnik A., (2020), QML estimation with non-summable weight matrices, submitted to ‘Journal of Geographical Systems’. | pl_PL |
dc.references | Ord, K. (1975), Estimation Methods for Models of Spatial Interaction, ‘Journal of the American Statistical Association’, 70. | pl_PL |
dc.references | Shi, W., and Lee, L.F. (2017), Spatial dynamic panel data model with interactive fixed effects, ‘Journal of Econometrics’, 197. | pl_PL |
dc.contributor.authorEmail | alicja.olejnik@uni.lodz.pl | pl_PL |
dc.contributor.authorEmail | agata.zoltaszek@uni.lodz.pl | pl_PL |
dc.discipline | ekonomia i finanse | pl_PL |