URBANIZATION AND DYNAMICS OF ECONOMIC GROWTH (THE CASE OF NUTS 2 REGIONS OF EUROPEAN UNION)
Abstract
Regional development policies based on local potential triggers a shift in the economic structure of territories. Exogenous and endogenous factors determine potential of regional development and it is necessary to use different indicators and methods to its evaluation. For the paper purpose, it is required to define metropolitan and peripheral functions as well as urban areas in the form of geographic models, depicting their spatial distribution in the European Union (EU). Nowadays, regions are increasingly becoming the drivers of the economy. All regions possess development opportunities – however, use these options enough, and hence the competitiveness of regions must be efficient enough. The paper focuses on dividing the EU NUTS 2 regions based on geographic models of the European economy into efficient and inefficient ones and identifying an optimal benchmark for inefficient regions as a strategy for enhancing their economic structure to measure regional efforts and progress.
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References
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Staníčková, M. & Melecký, L. (2016). Using DEA for Regional Merging Zones Based on Geographic Models of the European Economy. Scientific Papers of the University of Pardubice – Series D, XXIII(36): 176-187.
Staníčková, M. & Melecký, L. (2011). Competitiveness Evaluation of Visegrad Four Countries by CCR Input Oriented Model of Data Envelopment Analysis. Scientific Papers of the University of Pardubice – Series D, XVI(22): 176-188.
Tone, K. (2002). A slack-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1): 32-41.
Venables, A.J. (2007). Evaluating urban transport improvements: cost-benefit analysis in the presence of agglomeration and income taxation. Journal of Transport Economics and Policy, 41(2): 173-188.
Watt, A. & Botsch, A. (2010). After the crisis: towards a sustainable growth model. Brussel: European Trade Union Institute.
Annoni, P. & Dijkstra, L. (2013). EU Regional Competitiveness Index 2013. Luxembourg: Publication Office of the European Union.
Annoni, P. & Kozovska, K. (2010). EU Regional Competitiveness Index 2010. Luxembourg: Publication Office of the European Union.
Annoni, P., Dijkstra, L. & Gargano, N. (2017). EU regional competitiveness Index 2016. Working Paper WP 02/2017. Brussel: Directorate-General for Regional and Urban Policy.
Balcerowicz, L., Rzónca, A., Kalina, L. & Łaszek, A. (2013). Economic Growth in the European Union. Brussel: Lisbon Council.
Banker, R.D., Charnes, A. &Cooper, W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9): 1078-1092.
BBSR (2011). Metropolitan areas in Europe. BBSR-Online-Publikation 01/2011. Bonn: BBSR, 1-127.
Camagni, R. (2002). On the concept of territorial competitiveness: Sound or misleading? Urban Studies, 39(13): 2395-2411.
Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2 (6): 429-444.
Corrado, L., Martin, R. & Weeks, M. (2005). Identifying and Interpreting Regional Convergence Clusters across Europe. The Economic Journal, 115(502): 133-160.
Danon, M. (2014). Constructing a Novel Competitiveness Index for European Regions. GREDEG Working Papers 2014-42. Nice: University of Nice Sophia Antipolis.
De Bruyne, K. (2006). The location of economic activity. First versus second nature core-periphery theories. Review of Business and Economics, 51(1): 75-104.
Durlauf, S., Johnson, P. & Temple, J.R.W. (2005). Growth Econometrics. In Aghion, P.& Durlauf, S. (eds.). Handbook of Economic Growth (555-677). North Holland: Elsevier.
Easterly, W. & Levine, R. (2012). The European origins of economic development. NBER Working Paper Series 18162. Retrieved on 21.03.2019, from http://www.nber.org/papers/w18162
European Parliament (2019). The Principle of Subsidiarity. Retrieved on 24.03.2019 from http://www.europarl.europa.eu/ftu/pdf/en/FTU_1.2.2.pdf
Eurostat (2019). Metropolitan regions. Retrieved on 21.03.2019 from https://ec.europa.eu/eurostat/web/metropolitan-regions/background
Farrell, M.J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3): 253-290.
Fischer, M.M. & Stirböck, C.(2006). Pan-European regional income growth and club-convergence. Insights from a spatial econometric perspective. The Annals of Regional Science, 40(4): 693-721.
Ghosh, J., Havlik, P., Poplawski-Ribeiro, M. & Urban, W. (2009). Models of BRICs’ Economic Development and Challenges for EU Competitiveness. Vienna: The Vienna Institute for International Economics Studies.
Ηalkos, G. & Tzeremes, N. (2005). Α DEA approach to regional development. Munich: University Library of Munich.
Henderson, J.V. (1997). Externalities and Industrial Development. Journal of Urban Economics, 42(3): 449-470.
Henderson, J.V. (2003). Marshall's scale economies. Journal of Urban Economics, 53: 1-28.
Hospers, G. J. (2003). Beyond the Blue Banana? Structural Change in Europe’s Geo-Economy. Intereconomics, 38(2): 76-85.
Huggins, R. (2003). Creating a UK competitiveness index: Regional and local benchmarking. Regional Studies, 37(1): 89-96.
Mihaiu, D. M., Opreana, A. & Cristescu, M. P. (2010). Efficiency, effectiveness and performance of the public sector. Romanian Journal of Economic Forecasting, 4(1): 132-147.
Nevima, J. & Ramík, J. (2010). Application of DEA for evaluation of regional efficiency of EU regions. In 28th International Conference on Mathematical Methods in Economics 2010. České Budějovice: University of South Bohemia.
Pakšiová, R. (2017). The Critical analysis of profit for its allocation decision-making. In Decision making for small and medium-sized enterprises. Scientific Annals of Economics and Business, 64(SI): 41-56.
Poledníková, E. (2014). Comparison of Regions´ Ranking by MCDM methods: the Case of Visegrad Countries. Scientific Journal WSEAS Transactions on Business and Economics, 11(1): 507-518.
Porter, M. E. (2003). The Economic Performance of Regions. Regional Studies, 37(6/7): 549-578.
Staníčková, M., (2018). EU Competitiveness and Resilience: Evidence-based on Regional Level. SAEI, 51. Ostrava: VSB-TU Ostrava.
Staníčková, M. & Melecký, L. (2018). Boosting the EU Competitiveness as Response to Economic Shocks: Composite Weighted Index of Regional Resilience. In Ushakov, D. (ed.). Economic Reforms for Global Competitiveness (209-228). Hershey PA: IGI Global.
Staníčková, M. & Melecký, L. (2016). Using DEA for Regional Merging Zones Based on Geographic Models of the European Economy. Scientific Papers of the University of Pardubice – Series D, XXIII(36): 176-187.
Staníčková, M. & Melecký, L. (2011). Competitiveness Evaluation of Visegrad Four Countries by CCR Input Oriented Model of Data Envelopment Analysis. Scientific Papers of the University of Pardubice – Series D, XVI(22): 176-188.
Tone, K. (2002). A slack-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1): 32-41.
Venables, A.J. (2007). Evaluating urban transport improvements: cost-benefit analysis in the presence of agglomeration and income taxation. Journal of Transport Economics and Policy, 41(2): 173-188.
Watt, A. & Botsch, A. (2010). After the crisis: towards a sustainable growth model. Brussel: European Trade Union Institute.
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Published
2019-11-30
How to Cite
Staníčková, M., & Melecký, L. (2019). URBANIZATION AND DYNAMICS OF ECONOMIC GROWTH (THE CASE OF NUTS 2 REGIONS OF EUROPEAN UNION). The EUrASEANs: Journal on Global Socio-Economic Dynamics, (6(19), 15-29. https://doi.org/10.35678/2539-5645.6(19).2019.15-29
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The EUrASEANs
International College Suan Sunandha
Rajabhat University, Bangkok, Thailand
