Методические проблемы сопоставимости данных переписей населения 2002 и 2010 годов ( на примере Московской области)
Spatial reorganization and changing the definition of the place of usual residence for some types of ”institutional population” have a great impact on rural and urban population dynamics in Russia, especially in Moscow region. The paper attempts to quantify the contribution of these non-demographic factors in the evaluation of the total population and population dynamics in the last intercensal period, identify plausible population dynamics in the region.
The results of the Russian Census of 2010 lay on the table several topics requiring further discussion. Prerequisites for this discussion are the change of the administrative-territorial structure of Russia after the reform of municipal government in 2006 and the amendments to the Census Law made prior to Census 2010. During 2002-2010 increase in rural population was almost twice higher than that in urban areas: +11% and +6.3% correspondingly. Rural population increased up to 30-50% in some municipalities, while changes of the urban population were fairly minor or even negative over the intercensal period. This significant rise in the rural population could be related with changes concerning data capture of the population living in collective households. This ‘non-demographic’ factor distorts denominator for demographic rates for municipalities, affects on an allocation budget funds depending on the population in the municipality.
The article analyzes the structure of trade flows, transport and logistics infrastructure and discussed the prospects of development of regional logistics system
This article is devoted to the development of migration in the Russian Far East over the past centuries. Analyzing census data (from the first census in the Russian Empire in 1897 to the Russian Census 2010), the author investigates temporal and spatial transformations of migration processes in the Russian Far East regions.
Using the concept of lifetime migration, the author reveals, what regions and territories provided the growth of the population of the Russian Far East during the last centuries, where these people were going and what results it produced. This paper also tries to explain, how the Russian Far East modified from the most colonized and actively increasing population region to the most quickly losing it territory in the Russian Federation.
This concept allows to estimate migration over a long period in the absence of other reliable sources of information. The Russian Far East made the transition from the most colonized and actively increasing population to the territory of most losing it.
The book about nature of Moscow region/
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
We analyzed key factors of electric power consumption for Moscow and regional households. It is shown that new build, intraregional migration, recreational housing and, finally, income drive household power consumption significantly. Average yearly temperature is not among accountable power consumption drivers for households. A power consumption model for households is suggested.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.