Land Statistical Monitoring of the Ural Economic District

Author(s):  N.V. Vashukevich, candidate of Sciences, associate Professor, Urals State Agrarian University, Ekaterinburg, Russia,

I.A. Staritsina, candidate of Sciences, associate Professor, Ural Institute of State Fire Service of EMERCOM of Russia, Ekaterinburg, Russia,

Issue:  Volume 42, № 4

Rubric:  Earth sciences

Annotation:  The paper is concerned with adaptation of the methodology of land statistical monitoring developed by V. Salin and V. Prasolov to assess the dynamics of composition, structure, and the process intensity of land redistribution in three regions of the Ural Economic District the period 2014–2017. The statistical reporting forms by regional offices of the Federal Service for State Registration, Cadaster and Cartography (Rosreestr) as an information base made it possible. Land fund composition of the regions are different. The forest fund lands are absolutely dominant in the Sverdlovsk region and the Perm Territory. More than half of the land in the Chelyabinsk region belongs to the agricultural land category. The Pearson’s contingency coefficient (C), that describe the intensity of the statistical linkages between the land categories and ownership forms was calculated. The process of land redistribution by category, depending on the ownership form, is the most intensive in the Sverdlovsk region, just below it in the Perm Territory. The relative change in the Pearson’s contingency coefficient (ΔС) amounted to about 13 % and 8 %, respectively. The intensity of the land redistribution process is minimal in the Chelyabinsk region, ΔС was only 1.5 %. Thus, the operational analysis of the land fund in the annual statistical reports of the Rosreestr is supplemented with new statistical monitoring indicators that allow an objective assessment and control of the changes that are occurring.

Keywords:  statistical monitoring of land, Sverdlovsk region, Chelyabinsk region, the Perm Territory.

Full text (PDF):  Download

Downloads count:  361