Journal of Applied Economic Research
ISSN 2712-7435
Land Management Cluster Zonning’s Methods Summary
Komarov S.I., Antropov D.V.
Abstract
Abstract: The article focuses on methods of land management cluster zoning analysis. The authors have analyzed a lot of articles and books about zoning and concluded that there was insufficient attention to zoning methods. The article goal is to study different methods of cluster zoning (clustering of the municipal districts of a Russian region) for purposes of land management information support. The authors have defined the concept of “land management cluster zoning”, have analyzed the tree model method, the integrated zoning method and zoning based on the criterion of the efficiency of land management. These methods allow for cluster zoning of municipal districts. These methods have been tested using data from Novgorod Region. Based on the results of the study the authors have concluded that various zoning methods have yielded results close to 80%, but the choice of method should take into account the zoning purposes. For example, the tree model method is the most suitable one in the case of zoning based on indicators that have identical impact on land management. The method of integrated zoning is the most appropriate for application in the case of indications having different impact on land management. Zoning based on the criterion of land management efficiency separates municipal districts by one indicator. But this indicator is the key one.
Keywords
Key words: zoning; cluster zoning; municipalities; land management; clustering; regional management.
About Authors
Komarov Stanislav Igorevich – Candidate of Economic Sciences, Associate Professor, Department of Land Use and Cadaster, The State University of Land Use Planning, Russia, Moscow (105064, Moscow, Kazakova street, 15); e-mail: komarov@zemcad.ru.
Antropov Dmitriy Vladimirovich – Candidate of Economic Sciences, Associate Professor, Department of Land Use and Cadaster, The State University of Land Use Planning, Russia, Moscow (105064, Moscow, Kazakova street, 15); e-mail: antropov@zemcad.ru.
DOI: http://dx.doi.org/10.15826/vestnik.2017.16.1.004
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