
Purpose of the article: The evaluation of the agricultural land in the Republic of Moldova represents the main factor in the sustainable rural space development and it emphasizes economic criteria for the efficiency of land resources. The hedonic price in the sales-purchase transactions of parcels in agricultural land may be the scientific innovation and originality of the geographically weighted regression methodology with the spatial approach in the used econometric model. Conclusions: The price of agricultural land used parcels in Maiovca village, Ocnița district were evaluated by using the data from transactions registered in 2022 and the results of the geographically weighted regression (GWR) stands up the suitable conclusions of the licensed assessors in the field. Originality: The autocorrelation coefficient value evaluated by spatial autoregressive model (SAR) is ρ = 0.072 according to Cobb Douglas model confirms the high quality of the regression techniques carried out and the used spatial methodology can be implemented in cadastral practice for the taxation in the agrarian sector. Methodology: The GWR utility proposed in this methodology has advantage in research area because of the similar evaluation techniques carried out in the countries of the European Union that are adjacent to the Republic of Moldova.
adjacency matrix, transactions evaluation, spatial econometric model, Agricultural land, cadastral code
adjacency matrix, transactions evaluation, spatial econometric model, Agricultural land, cadastral code
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