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Social-economic indicators for cadastral value of land in municipal areas modelling
 
PIIS042473880017516-6-1
DOI10.31857/S042473880017516-6
Publication type Article
Status Published
Authors
Valentina Berdnikova 
Affiliation: Kuban State Technological University
Address: Krasnodar, Russian Federation
Anna Osennyaya
Occupation: head of Department of cadastre and geoengineering
Affiliation: Kuban state technological University
Address: Russian Federation
Bela Khakhuk
Occupation: associate Professor
Affiliation: Kuban state technological University
Address: Russian Federation
Journal nameEkonomika i matematicheskie metody
EditionVolume 57 Issue 4
Pages66-75
Abstract

The problem of development of cadastral assessment modeling by using the methods of correlation and regression analysis is still on the top because of different reasons. One of that reasons is the difficulty to choose reasonable price forming factors of land market cost for the conditions of active small market settlements in municipal areas. For a population of settlements combined in one valuation group, it also remains a challenge to develop a cadastral assessment model that takes into account parameters that are not only related to their geolocation, physical, technical and operational characteristics, but can also take into account the influence of the social-economic environment on the modelled value of valued objects, which would subsequently reduce the probability of errors and the number of cases of disputed cadastral values. In this research reviewed price peculiarities of the real estate market of settlements were considered, their grouping was carried out and possibilities of application of social-economic factors were analyzed that allow reducing errors in construction of the cadastral value model of land. The correlation-regression method is applied to choose pricing factors, the coefficients of pair correlation and the index of their comparative importance are determined, and their multicollinearity is checked up. The study also shows that the set of specific socioeconomic factors is non-permanent and depends on the changes in macroeconomic situation. As applied to the Krasnodar region in 2020 the indicators of the level of development of small and medium-sized enterprises and the number of resident population became the significant factors for the model of calculation of the cadastral value of land for the formed groups of settlements in the municipal districts.

Keywordspricing factors, social-economic indicators, regression model, correlation coefficient.
AcknowledgmentThe reported study was funded by Russian Foundation for Basic Research and the Administration of the Krasnodar Territory, project number 19–410–230062.
Received27.11.2021
Publication date13.12.2021
Number of characters25919
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