Demographic Potential and Level of Economic Development of Sub‑Regions in Poland in the Period 2004–2012

Authors

  • Mara Kłusek Uniwersytet Mikołaja Kopernika w Toruniu, Wydział Nauk Ekonomicznych i Zarządzania

DOI:

https://doi.org/10.18778/0208-6018.327.14

Keywords:

demography, taxonomic measure of development, spatial relationship, spatial trends, spatial autocorrelation

Abstract

The aim of the paper is space and temporal analysis of the demographic situation in Poland in the context of the country’s economic development. In the paper the taxonomic measure of development describing the demographic situation and the measure of economic development for the 66 sub-regions (NUTS-3) based on selected diagnostic variables in the period 2004–2012 were determined. In the paper there was made the analysis of spatial distributions of designated synthetic measures within the scope of identifying spatial trends and spatial autocorrelation. The results obtained for individual years of analyzed period were compared, conclusions were formulated and directions for further research were outlined.

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References

Andrews G.J., Phillips D.R. (2005), Ageing and Place. Perspectives, Policy, Practice, Routledge, London–New York.
Google Scholar

Bank Danych Lokalnych GUS (2016), www.bdl.stat.gov.pl.
Google Scholar

Bloom D.E., Canning D., Sevilla J. (2001), Economic Growth and the Demographic Transition, NBER Working Papers 8685, National Bureau of Economic Research, Cambridge.
Google Scholar

Cliff A.D., Ord J.K. (1973), Spatial Autocorrelation, Pion, London.
Google Scholar

Kłusek M. (2016), Taxonomic analysis of the demographic situation in Poland in the context of regional economic development in sub-regional system in the years 2004–2012, Proceedings of the 10th the Professor Aleksander Zeliaś International Conference On Modelling And Forecasting Of Socio-economic Phenomena, Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, Kraków, www.pliki.konferencjazakopianska.pl, s. 62–71.
Google Scholar

Kopczewska K. (2006), Ekonometria i statystyka przestrzenna z wykorzystaniem programu R Cran, CeDeWu, Warszawa.
Google Scholar

Kotowska I. (2014), Rynek pracy i wykluczenie społeczne w kontekście percepcji Polaków. Diagnoza społeczna 2013, Centrum Rozwoju Zasobów Ludzkich, Ministerstwo Pracy i Polityki społecznej, Warszawa.
Google Scholar

Kurek S. (2008), Typologia starzenia się ludności Polski w ujęciu przestrzennym, „Prace Monograficzne”, nr 497, Wydawnictwo Naukowe Akademii Pedagogicznej, Kraków.
Google Scholar

Meadows D.H., Meadows D.L., Randers J., Behrens W.W. (1973), Granice wzrostu, PWE, Warszawa.
Google Scholar

Meadows D.H., Randers J., Meadows D.L. (2004), Limits to growth: The 30-year update, Chelsea Green Publishing.
Google Scholar

Moran P.A. (1950), Notes on continuous stochastic phenomena, „Biometrika”, vol. 37(1/2), s. 17–23.
Google Scholar

Pietrzykowski R. (2011), Wykorzystanie metod statystycznej analizy przestrzennej w badaniach ekonomicznych, „Roczniki Ekonomiczne Kujawsko-Pomorskiej Szkoły Wyższej w Bydgoszczy”, nr 4, s. 97–112.
Google Scholar

Schabenberger O., Gotway C.A. (2005), Statistical Methods for Spatial Data Analysis, Champion & Hall/CRC, Taylor & Francis Group, Boca Raton, London.
Google Scholar

Szulc E. (2008), Analiza struktury ekonomicznych procesów przestrzennych na przykładzie PKB w wybranych krajach europejskich, „Acta Universitatis Nicolai Copernici Ekonomia”, nr 38, s. 7–20.
Google Scholar

Tobler W.R. (1970), A computer model simulating urban growth in Detroit region, „Economic geography”, vol. 46(2), s. 234–240.
Google Scholar

Published

2017-07-11

How to Cite

Kłusek, M. (2017). Demographic Potential and Level of Economic Development of Sub‑Regions in Poland in the Period 2004–2012. Acta Universitatis Lodziensis. Folia Oeconomica, 1(327), [231]-244. https://doi.org/10.18778/0208-6018.327.14

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