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Influence of Pricing Factor Dimension on the Cadastral Cost of Urban Land Plot

Ekaterina Pravdina () and Olga Lepikhina ()
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Ekaterina Pravdina: National Mineral Resources University, Postal: RU
Olga Lepikhina: National Mineral Resources University, Postal: RU

Journal of Advanced Research in Management, 2016, vol. 7, issue 3, 383-392

Abstract: This article is dedicated to the analysis of dependence of urban land cadastral cost on pricing factors where each factor s influence can be expressed through the system of various pricing factors The article reveals major factors influencing the cadastral cost of land plots and proves that the influence of each of them could be expressed through the system of different estimated indicators The article also provides options for such indicators with their statistical scales The land fund of research objects small and average cities of Murmansk region is studied lists of the estimated indicators of pricing factors are created The digital maps of these cities containing layers of borders of the estimated land plots objects of social engineering transport infrastructure and other data necessary for mass assessment were created by means of the geographic information system MAPINFO Values of estimated indicators of factors are received Several factor indicators showed weak degree of correlation dependence which testifies to impossibility of their interchangeability when forming statistical models The influence of estimated indicator dimension on a type of statistical model of land cadastral cost is analyzed Two test groups of different estimated factor indicators are created the most significant indicators for each group are revealed using the method of correlation galaxies by P V Terentiev The statistical models of land cadastral cost calculation received on the basis of these indicators led to an essential difference in received costs of land plots which confirmed the hypothesis of the authors Research results can be used when developing methodology support for mass cadastral assessment of urban lands in Russia

Date: 2016
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