Spatial and Spatio-Temporal Tendencies and Dependence of GDP in Selected European Countries in the Years 2001–2009

Joanna Górna; Karolina Górna

doi:10.18778/0208-6018.293.13

Autor

Joanna Górna Uniwersytet Mikołaja Kopernika w Toruniu
Karolina Górna Uniwersytet Mikołaja Kopernika w Toruniu

DOI:

https://doi.org/10.18778/0208-6018.293.13

Abstrakt

The paper presents the analysis of per capita GDP in the area of eight European countries in the period before and after their accession to the European Union. They are: the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Slovakia and Slovenia. In particular, the spatial and spatio-temporal tendencies of GDP and the dependence among the values of per capita GDP across the established regions according to the European classification system NUTS-2 are considered. The changes in time of the dependence are analyzed as well. In the investigation the ideas of spatial and spatio-temporal trends and spatial autocorrelation were used. Additionally some econometric space-time autoregressive model was specified and verified. The concept of β-convergence of NUTS-2 regions of the investigated countries in the context of spatial connections was analyzed. The data relating to the established regions was taken from the database released by Eurostat.

Pobrania

Brak dostępnych danych do wyświetlenia.

Bibliografia

Anselin L. (1988), Spatial Econometrics: Methods and Models, Dordrecht, Kluwer Academic Publishers.
Google Scholar DOI: https://doi.org/10.1007/978-94-015-7799-1

Arbia G. (2006), Spatial Econometrics. Statistical Foundations and Applications to Regional Convergence, Springer-Verlag Berlin Haidelberg.
Google Scholar

Bivand S.R., Pebesma E.J., Gómez-Rubio V. (2008), Applied Spatial Data Analysis with R, Springer Science+Busines Media, LLC.
Google Scholar

Bode E., Rey S.J.(2006),77;e spatial dimension of economic growth and convergence. Papers in Regional Science, 85 (2), s. 171-176.
Google Scholar DOI: https://doi.org/10.1111/j.1435-5957.2006.00073.x

Domański R. (2002), Gospodarka przestrzenna, Wydawnictwo Naukowe PWN.
Google Scholar

LeSage J., Pace R. K. (2009), Introduction to Spatial Econometrics, Champion & Hałl/CRC, New York.
Google Scholar DOI: https://doi.org/10.1201/9781420064254

Rey S.J., Le Galio J. (2009), Spatial analysis of economic convergence, (w:) T.C. Mills, K. Patterson (eds.), Palgrave Handbook of Econometrics, Volume II: Applied Econometrics. Palgrave MacMillan, New York, s. 1251-1290.
Google Scholar DOI: https://doi.org/10.1057/9780230244405_27

Schabenberger O., Gotway A.C. (2005), Statistical Methods for Spatial Data Analysis, Champion & Hall/CRC, New York.
Google Scholar

Suchecki B. (red.) (2010), Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych, Wydawnictwo C.H. Beck, Warszawa.
Google Scholar

Szulc E. (2007), Ekonometryczna analiza wielowymiarowych procesów gospodarczych, Wydawnictwo UMK, Toruń.
Google Scholar

Szulc E. (2009), Modeling of Dynamie Spatial Processes, (w:) Dynamie Econometric Models, Nicolaus Copernicus University, vol. 9, Wydawnictwo UMK, Toruń.
Google Scholar