Land as a production factor occupies a special position in the economic activities of the urban population. Land resources in big cities are not only territorial basis for placing industrial and production structures, but also a space for urban life in general. However, to assess the effectiveness of urban land use, primarily the ecological and economic potential of the use of the urban land resources should be determined aimed at sustainable development of urban agglomerations (Volodchenkov, 2010). The rapid pace of development of large cities in the world and an increase of their impact on the environment and society is accompanied by the set of economic, ecological and social problems which significantly influence the development of settlements in general (Stolʹberh, 2000; Onyshchuk, 2001). However, the process of urbanization as a result of rapid scientific and technological revolution requires large areas for deployment of large scale production facilities and urban settlements in the conditions of natural resource management (Kontorovich, Rivkin, 1986).

Taking into consideration all the data of collectibility of land payments (land tax and rent), the dependence of collectibility of land payments on economic and geographical factors is analysed in municipalities of the Samara region. The factors are defined with the help of mathematical methods, which are closely associated with payments growth from the land area of a municipality and the number of residents. The dependence simulation of the level of land payments on geographical and demographic characteristics has been implemented in a municipality. This model allowed allocating ”normative level” for each municipal district which corresponds to the result of the ”average area” with given objective characteristics. This assessment allowed the authors to identify the areas with high and low levels of land payments collectibility. The efficiency assessment of municipality local governments in the Samara region on land management is made taking into consideration objective factors that limit their opportunities.