In the economic studies models based on panel data are increasingly used. The standard panel models are composed of a cross-section character of the data in the time, but do not include the interaction associated with the location of objects in the geographic space. Spatial panel models are based on the information contained cross-section data in the time with regard to space. The paper proposes a different approach to the changes in time on the basis of spatial matrix weight. The aim of this study was to show the possibility to apply spatial weights matrix with particular consideration of time. Data for the analysis came from the database of the CSO and the ARMA in period 2004-2012. In addition to working methods of spatial statistics classical taxonomic methods were also used to obtain a distance matrix.
W pracy przedstawiono analizę cen ziem rolniczych w 2009 roku. Analizę przeprowadzono dla gleb dobrych (pszenno-buraczane), średnich (żytnio-ziemniaczane) i słabych (piaszczyste). W celu określenia związków ceny ziemi rolniczej z lokalizacją, a wybranymi czynnikami powodującymi zróżnicowanie regionalne na poziomie województw, przeprowadzono analizę przestrzenną. W wyniku przeprowadzonych badań, udało się stwierdzić, że dopłaty bezpośrednie są czynnikiem powodującym zróżnicowanie regionalne. W analizie wykorzystano: lokalny i globalny współczynnik korelacji Morana oraz model regresji przestrzennej SAR.
EN
The paper presents an analysis of agricultural land prices in 2009. The study was conducted for the good, medium and bad soil. In order to determine relation the price of agricultural land and selected factors causing regional differences, used spatial analysis. The studies were able to conclude that direct payments are a factor causing regional differences. In the statistical analysis used to Moran spatial coefficients and spatial regression model.
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