A Regional Population Density Model with Poly-Centers: From the Perspective of Sustainable Development

ICCREM 2017 ◽  
2017 ◽  
Author(s):  
Chen Lu ◽  
Zhiwei Yu
2020 ◽  
pp. 133-158
Author(s):  
K. A. Kholodilin ◽  
Y. I. Yanzhimaeva

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.


2015 ◽  
Vol 5 (13) ◽  
pp. 2694-2702 ◽  
Author(s):  
Anna‐Sara Liman ◽  
Peter Dalin ◽  
Christer Björkman

2014 ◽  
Vol 138 ◽  
pp. 332-338 ◽  
Author(s):  
S.C. Chan ◽  
R.R. Poznanski ◽  
S.Y. Goh

2020 ◽  
Vol 11 (4) ◽  
pp. 875-883
Author(s):  
Min Chen ◽  
Ken Caldeira

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.


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

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