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An Empirical Study Of Productivity Growth In EU28 - Spatial Panel Analysis

dc.contributor.authorOlejnik, Alicjaen
dc.date.accessioned2015-04-28T13:06:13Z
dc.date.available2015-04-28T13:06:13Z
dc.date.issued2014-12-30en
dc.identifier.issn1508-2008en
dc.identifier.urihttp://hdl.handle.net/11089/8426
dc.description.abstractThis paper investigates the spatial process of productivity growth in the European Union on the foundations of the theory of New Economic Geography. The proposed model is based on the study of NUTS 2 regions and takes into consideration a spatial weights matrix in order to better describe the structure of spatial dependence between EU regions. Furthermore, our paper attempts to investigate the applicability of some new approaches to spatial modelling including parameterization of the spatial weights matrix. Our study presents an application of the spatial panel model with fixed effects to Fingleton’s theoretical framework. We suggest that the applied approach constitutes an innovation to spatial econometric studies providing additional information hence, a deeper analysis of the investigated problem.en
dc.publisherWydawnictwo Uniwersytetu Łódzkiegoen
dc.relation.ispartofseriesComparative Economic Research;17en
dc.rightsThis work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjectspatial panel modelen
dc.subjectspatial econometricsen
dc.subjectproductivity growthen
dc.titleAn Empirical Study Of Productivity Growth In EU28 - Spatial Panel Analysisen
dc.page.number187-202en
dc.contributor.authorAffiliationUniversity of Lodz, Faculty of Economics and Sociology, Department of Spatial Econometricsen
dc.identifier.eissn2082-6737
dc.referencesAnselin L. (1988), Spatial Econometrics: Methods and Models, Kluwer, Dordrecht.en
dc.referencesAnselin L., Bera A.K. (1998), Spatial dependence in linear regression models with an introduction to spatial econometrics, [in:] Ullah A., Giles D. (ed.). Handbook of Applied Economic Statistics, Marcel Dekker, New York.en
dc.referencesBernat G. A. (1996), Does Manufacturing Matter. A Spatial Econometric View of Kaldor’s Laws, Journal of Regional Science, 36, 463-477.en
dc.referencesBurridge, P., Gordon I. (1981), Unemployment in the British Metropolitan Labour Areas, Oxford Economic Papers, 33(2), 274-297.en
dc.referencesCombes P. P., Lafourcade M. (2001), Transportation costs decline and regional inequalities: evidence from France, CEPR DP 2894.en
dc.referencesCombes P. P., Lafourcade M. (2004), Trade costs and regional disparities in a model of economic geography: structural estimations and predictions for France, http://www.enpc.fr/ceras/combes/ Combes P. P., Overman H. (2003), The spatial distribution of economic activity in the EU, CEPR DP 3999.en
dc.referencesCorrado L., Fingleton B. (2012), Where is the economics in spatial econometrics?, Journal of Regional Science, 52 (2): 210-39. doi: 10.1111/j.1467-9787.2011.00726.x ThomsonISI: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000303050700004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3en
dc.referencesEUROSTAT (2002), European Regional Statistics. Reference guide, European Communities, Luxembourg.en
dc.referencesFingleton B. (2000), Spatial econometrics, economic geography, dynamics and equilibrium: a third way? Environment and Planning A, 32, 1481-1498.en
dc.referencesFingleton B. (2001), Equilibrium and economic growth: spatial econometric models and simulations, Journal of Regional Science, 41, 117-147.en
dc.referencesFingleton B. (2003), Increasing returns: evidence from local wage rates in Great Britain. Oxford Economic Papers, 55, 716-739.en
dc.referencesFingleton B. (2004a), Regional economic growth and convergence: insights from a spatial econometric perspective, [in:] Anselin L., Florax R., Rey S. (ed.) Advances in Spatial Econometrics, Springer- Verlag, Berlin, 397-432.en
dc.referencesFingleton B. (2004b), Some alternative geo-economics for Europe's regions, Journal of Economic Geography, 4, 389-420.en
dc.referencesFingleton B. (2006), The new economic geography versus urban economics: an evaluation using local wage rates in Great Britain, Oxford Econ Pap., 58, 501-530.en
dc.referencesFingleton B., Lopez-Bazo E. (2006), Empirical growth models with spatial effects, Papers in Regional Science, 85(2), 177-198. doi: 10.1111/j.1435-5957.2006.00074.xen
dc.referencesFingleton B. (2007), A multi-equation spatial econometric model, with application to EU manufacturing productivity growth. Journal of Geographical Systems, Springer, 9(2), 119-144. doi: 10.1007/s10109-006-0038-5en
dc.referencesFingleton B., McCann P. (2007), Sinking the iceberg? On the treatment of transport costs in new economic geography, [in:] Fingleton B. (ed.) New directions in economic geography. Edward Elgar, Cheltenham, 168-203.en
dc.referencesFingleton B., McCombie J. S. L. (1998), Increasing returns and economic growth: Some evidence for manufacturing from the European Union regions, Oxford Economic Papers, 50, 89-105.en
dc.referencesFischer, M.M., Scherngell T., Jansenberger E. (2006), The Geography of Knowledge Spillovers Between High-Technology Firms in Europe: Evidence from a Spatial Interaction Modelling Perspective, Geographical Analysis, 38(3), 288-309. doi: 10.1111/j.1538-4632.2006.00687.xen
dc.referencesFischer M.M., Scherngell T., Reismann M. (2009), Knowledge Spillovers and Total Factor Productivity: Evidence Using a Spatial Panel Data Model, Geographical Analysis, 41(2), 204-220. doi: 10.1111/j.1538-4632.2009.00752.x ThomsonISI: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000265146000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3en
dc.referencesFujita M., Krugman P., Venables A. (1999), The Spatial Economy: Cities, Regions, and International Trade, Cambridge MA. Kakamu K. (2005), Bayesian Estimation of a Distance Functional Weight Matrix Model, Economics Bulletin, 3(57), 1-6.en
dc.referencesKaldor N. (1957), A Model of Economic Growth, Economic Journal, 67, 591-624.en
dc.referencesOlejnik A. (2008), Using the spatial autoregressively distributed lag model in assessing the regional convergence of per-capita income in the EU25, Papers in Regional Science, Wiley, 87/3. ThomsonISI: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000261081500005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3en
dc.referencesOlejnik A. (2012), Wielowymiarowe autoregresyjne modele przestrzenne, [in:] Ekonometria przestrzenna II, Modele zaawansowane, (ed.) Suchecki B., C.H. Beck, Warszawa.en
dc.referencesRedding S., Venables A. J. (2004), Economic geography and international inequality, Journal of International Economics., 62, 53-82. ThomsonISI: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000299064800010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=b7bc2757938ac7a7a821505f8243d9f3en
dc.referencesVega S.H., Elhorst J.P. (2013), On spatial econometric models, spillover effects, and W, ERSA working papers, http://www-sre.wu.ac.at/ersa/ersaconfs/ersa13/ERSA2013_paper_00222.pdf Verdoorn P.J. (1949), Fattori che Regolano lo Sviluppo della Produttivita del Lavoro, L’Industria, 1, 3-10.en
dc.identifier.doi10.2478/cer-2014-0040en


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