Convergence of regional population density in Russia over 120 years

2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva
Keyword(s):  
Population Density ◽  
Spatial Dependence ◽  
Population Distribution ◽  
Regional Level ◽  
Capital City ◽  
County Level ◽  
Spatial Effects ◽  
Russian Regions ◽  
Regional Population ◽  
Regional Population Density

A relative uniformity of population distribution on the territory of the country is of importance from socio-economic and strategic perspectives. It is especially important in the case of Russia with its densely populated West and underpopulated East. This paper considers changes in population density in Russian regions, which occurred between 1897 and 2017. It explores whether there was convergence in population density and what factors influenced it. For this purpose, it uses the data both at county and regional levels, which are brought to common borders for comparability purposes. Further, the models of unconditional and conditional β-convergence are estimated, taking into account the spatial dependence. The paper concludes that the population density equalization took place in 1897-2017 at the county level and in 1926—1970 at the regional level. In addition, the population density increase is shown to be influenced not only by spatial effects, but also by political and geographical factors such as climate, number of GULAG camps, and the distance from the capital city.

scholarly journals Detectability of landscape effects on recolonization increases with regional population density

2015 ◽  
Vol 5 (13) ◽  
pp. 2694-2702 ◽  
Author(s):  
Anna‐Sara Liman ◽  
Peter Dalin ◽  
Christer Björkman
Keyword(s):  
Population Density ◽  
Landscape Effects ◽  
Regional Population ◽  
Regional Population Density

scholarly journals Climate change as an incentive for future human migration

2020 ◽  
Vol 11 (4) ◽  
pp. 875-883
Author(s):  
Min Chen ◽  
Ken Caldeira
Keyword(s):  
Climate Change ◽  
Environmental Factors ◽  
Population Density ◽  
Climatic Factors ◽  
Human Migration ◽  
Related Factors ◽  
Population Growth Rates ◽  
Order Of Magnitude ◽  
Regional Population ◽  
Regional Population Density

Abstract. Human migration is both motivated and constrained by a multitude of socioeconomic and environmental factors, including climate-related factors. Climatic factors exert an influence on local and regional population density. Here, we examine the implications of future motivation for humans to migrate by analyzing today's relationships between climatic factors and population density, with all other factors held constant. Such “all other factors held constant” analyses are unlikely to make quantitatively accurate predictions, but the order of magnitude and spatial pattern that come out of such an analysis can be useful when considering the influence of climate change on the possible scale and pattern of future incentives to migrate. Our results indicate that, within decades, climate change may provide hundreds of millions of people with additional incentive to migrate, largely from warm tropical and subtropical countries to cooler temperate countries, with India being the country with the greatest number of people with additional incentive to migrate. These climate-driven incentives would be among the broader constellation of incentives that influence migration decisions. Areas with the highest projected population growth rates tend to be areas that are likely to be most adversely affected by climate change.

Seasonality of birth in schizophrenia: the effect of regional population density

1997 ◽  
Vol 23 (2) ◽  
pp. 175-180 ◽  
Author(s):  
Hélène Verdoux ◽  
Noriyoshi Takei ◽  
René Cassou de Saint-Mathurin ◽  
Robin M. Murray ◽  
Marc L. Bourgeois
Keyword(s):  
Population Density ◽  
Regional Population ◽  
Regional Population Density ◽  
Seasonality Of Birth

Aspects of the Lognormal Function in the Analysis of Regional Population Distribution

1989 ◽  
Vol 21 (7) ◽  
pp. 961-973 ◽  
Author(s):  
J B Parr ◽  
G J O'Neill
Keyword(s):  
Population Density ◽  
Spatial Structure ◽  
Density Function ◽  
Metropolitan Area ◽  
Population Distribution ◽  
Population Based ◽  
Major Metropolitan Area ◽  
Structure Of Population ◽  
Regional Population ◽  
Over Time

The spatial structure of population within a metropolitan-area-based region is approached via the population density function, in much the same way as has been undertaken for a city or metropolitan area. A particularly appropriate form of the density function is the lognormal, and the broad features of this function are outlined. The concern in the balance of the paper is with certain properties of the lognormal form. These properties are descriptive in nature, but may also be of a predictive character, in the sense that the predicted property can be contrasted with its observed counterpart. Consideration is given first to properties based on density. The population form of the lognormal function is then derived, and properties based on population are examined. Attention is also given to relationships among density-based and population-based properties. An example of the approach and how it may contribute to the analysis of spatial structure, particularly over time, is illustrated with respect to a major metropolitan-area-based region. Last, possible applications of this type of analysis are discussed.

scholarly journals Climate change as a driver of future human migration

2020 ◽  
Author(s):  
Min Chen ◽  
Ken Caldeira
Keyword(s):  
Climate Change ◽  
Environmental Factors ◽  
Population Density ◽  
Climatic Factors ◽  
Human Migration ◽  
Related Factors ◽  
Population Growth Rates ◽  
Order Of Magnitude ◽  
Regional Population ◽  
Regional Population Density

Abstract. Human migration is both motivated and constrained by a multitude of socioeconomic and environmental factors, including climate-related factors. Climatic factors exert an influence on local and regional population density. Here, we examine implications for future motivation for humans to migrate by analyzing today’s relationships between climatic factors and population density, with all other factors held constant. Such all other factors held constant analyses are unlikely to make quantitatively accurate predictions but the order-of-magnitude and spatial pattern that come out of such an analysis can be useful for thinking about the influence of climate change on the possible scale and pattern of future incentives to migrate. Our results indicate that, within decades, climate change may provide to hundreds of millions of people additional incentive to migrate, largely from warm tropical and subtropical countries to cooler temperate countries, with India being the country with the greatest number of people with additional incentive to migrate. These climate-driven incentives would be among the broader constellation of incentives that influence migration decisions. Areas with the highest projected population growth rates tend to be areas that are likely to be most adversely affected by climate change.

Impact of regulatory framework rigidity on poverty in the regions of Russia

2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov
Keyword(s):  
Economic Activity ◽  
Regional Level ◽  
Institutional Factors ◽  
Federal Regulations ◽  
Russian Regions ◽  
Poverty Dynamics ◽  
Regulatory Burden ◽  
Sectoral Structure ◽  
The Impact ◽  
Regions Of Russia

The paper analyzes the impact of the federal regulatory burden on poverty dynamics in Russia. The paper provides regional level indices of the federal regulatory burden on the economy in 2008—2018 which take into account sectoral structure of regions’ output and the level of regulatory rigidity of federal regulations governing certain types of economic activity. Estimates of empirical specifications of poverty theoretical model with the inclusion of macroeconomic and institutional factors shows that limiting the scope of the rulemaking activity of government bodies and weakening of new regulations rigidity contributes to a statistically significant reduction in the level of poverty in Russian regions. Cancellation of 10% of accumulated federal level requirements through the “regulatory guillotine” administrative reform may take out of poverty about 1.1—1.4 million people.

Sign in / Sign up

Export Citation Format

Share Document