Modeling the Cadastral Value of Land Plots of Gardening and Horticultural Non-Profit Partnerships Taking into Account the Influence of Local Factors of the Territory

Elena Bykowa (), Tatyana Banikevich, Natalia Zalivatskaya and Oksana Pirogova
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Elena Bykowa: Department of Land Management and Cadastres, Saint Petersburg Mining University, 21-Line, 2, St. Petersburg 199106, Russia
Tatyana Banikevich: Department of Land Management and Cadastres, Saint Petersburg Mining University, 21-Line, 2, St. Petersburg 199106, Russia
Natalia Zalivatskaya: Lengiprotrans, St. Petersburg 196105, Russia
Oksana Pirogova: Higher School of Service and Trade Institute of Industrial Management, Economics and Trade, Peter the Great St. Petersburg Polytechnic University, St. Petersburg 195251, Russia

Land, 2024, vol. 13, issue 7, 1-17

Abstract: Concerning the dependence of land taxation on the cadastral or market value of lands in developed and developing countries, the role of land resources in the system of socio-economic development is quite high. World studies show the presence of methodological problems related, among other things, to the composition of price-forming factors of mass assessment. In relation to garden and vegetable garden lands, the issue of taking into account factors related to the immediate environment and soil quality is especially relevant, which is associated with the social justice of land taxation. The current paper aims to determine the influence of factors of the immediate environment and soil fertility on the cadastral value of the lands under consideration by determining which methodological apparatus has been built. Modeling of the specific indicator of cadastral value (SICV) of land plots is performed on the example of five gardening and vegetable gardening partnerships of the Belgorod district, where 79% of the territory is occupied by agricultural lands, which are quite diverse in soil composition, relief, and other studied factors. A linear model of dependence between local factors and the UPCS is proved. The reliability of the model is confirmed by testing for homoscedasticity, autocorrelation, and statistical significance of factors. The results of determining the cadastral value demonstrated an average change of 10%.

Keywords: cadastral valuation; land tax; modeling; soil quality; relief; moisture supply; well; remoteness (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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