Abstract
The purpose of the study is to identify the relations between the level of specialization in smart growth sectors and the effects of change of workforce numbers in NUTS (The Nomenclature of Territorial Units for Statistics) 2 regions of the European Union countries. Multivariate data analysis methods, structural-geographic shift-share method and regional specialization indices were applied in the study. The structure of workforce in economic sectors, separated based on the intensity of research and development activities in NUTS 2 regions in the period 2009–2012, constituted the subject matter of the analysis. The application of shift-share analysis allowed for determining the effects of workforce structure, competitiveness and number changes in smart growth sectors against the reference area, i.e. the European Union regional area. Multivariate data analysis methods facilitated the typology of the analyzed regions against the level of specialization and the type of effects resulting from the change of workforce numbers in smart growth sector, as well as determining the relations between them.
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References
Barff, R. A., & Knight III, P. L. (1988). Dynamic shift-share analysis. Growth and Change, 19(2), 1–10.
Cooke, P. et al. (1997). Regional innovation systems: Institutional and organizational dimensions. Research Policy, 26, 475–491.
Europe 2020. (2010). The strategy for smart and sustainable growth facilitating social inclusion. In The Communication by the Commission. Brussels: The EU Commission.
Florida, R. (1995). Towards the learning region. Futures, 27, 527–536.
Hatzichronoglou, T. (1996). Revision of the high-technology sector and product classification. Paris: OECD.
Krugman, P. R. (1991). Increasing Returns and Economic Geography. Working Paper, no 3275, National Bureau of Economic Research.
Morgan, K. (1997). The learning region: Institutions, innovations and regional renewal. Regional Studies, 31, 491–503.
Porter, M. E. (1998). The competitive advantage of nations. London: Macmillan.
Suchecki, B. (Ed.) (2010). Ekonometria przestrzenna. Metody i modele analizy przestrzennej [Spatial econometrics. Methods and models for spatial analysis]. Warsaw: C.H. Beck Publishers.
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Sobczak, E., Pełka, M. (2016). Specialization in Smart Growth Sectors vs. Effects of Change of Workforce Numbers in the European Union Regional Space. In: Wilhelm, A., Kestler, H. (eds) Analysis of Large and Complex Data. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-319-25226-1_22
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DOI: https://doi.org/10.1007/978-3-319-25226-1_22
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