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September 2021 (published: 22.09.2021)
Number 3(46)
Home > Issue > Intraregional asymmetry: research with spatial analysis tools
Patrakova S.S.
Reducing the level of interterritorial asymmetry and disproportions, ensuring a balanced spatial development of regions and local territories are among the strategically important tasks for Russia. The need to solve them is emphasized not only by the scientific community, but also by the authorities and local self-government. The purpose of the study is to identify and assess intraregional asymmetry using spatial analysis tools on the example of municipalities of the Vologda region. The object of the study is the region as a complex socio-economic system, the subject is intraregional asymmetry. The calculation of spatial autocorrelation based on the global and local Moran indices for the indicator "the number of permanent population" on the example of the Vologda region allowed us to obtain the following results. It is revealed that the distribution of the population of the region is currently characterized by asymmetry and positive spatial autocorrelation, i.e. municipalities are not located randomly, but form clusters. It is determined that the GO MO "The City of Vologda" and the GO G. Cherepovets, Vologda, Cherepovets and Velikoustyugsky districts are the points of concentration of the human capital of the region, the largest nodes of the settlement framework and the centers of concentration of economic activity. It is established that the districts of the North-East of the region (with the exception of Velikoustyugsky) form a cluster of territories with a relatively low number of permanent population. The continuing infrastructural, socio-economic, demographic problems of these territories determine the further strengthening of spatial unevenness in the level of socio-economic development of municipalities and the asymmetry of population distribution, which ultimately reduces the possibilities of ensuring a balanced spatial development of the region. The methods of analysis, synthesis and generalization of the received information, economic and statistical analysis, as well as graphical and tabular methods of data visualization were used in the work. The information base of the study was made up of data posted on the official websites of the Federal State Statistics Service and its territorial subdivision in the Vologda region, as well as information from specialized sites for calculating the distance. The methodological basis of the study was the works of domestic and foreign scientists in the field of regional and spatial economics. The results obtained in the course of the study can be used by regional authorities in the framework of improving the policy of socio-economic development of the region, as well as by researchers and other interested persons when conducting research on similar topics.
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Keywords: region, socio-economic asymmetry, space, Moran's index, spatial autocorrelation, Vologda region.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
UDC 332.1
Intraregional asymmetry: research with spatial analysis tools
Reducing the level of interterritorial asymmetry and disproportions, ensuring a balanced spatial development of regions and local territories are among the strategically important tasks for Russia. The need to solve them is emphasized not only by the scientific community, but also by the authorities and local self-government. The purpose of the study is to identify and assess intraregional asymmetry using spatial analysis tools on the example of municipalities of the Vologda region. The object of the study is the region as a complex socio-economic system, the subject is intraregional asymmetry. The calculation of spatial autocorrelation based on the global and local Moran indices for the indicator "the number of permanent population" on the example of the Vologda region allowed us to obtain the following results. It is revealed that the distribution of the population of the region is currently characterized by asymmetry and positive spatial autocorrelation, i.e. municipalities are not located randomly, but form clusters. It is determined that the GO MO "The City of Vologda" and the GO G. Cherepovets, Vologda, Cherepovets and Velikoustyugsky districts are the points of concentration of the human capital of the region, the largest nodes of the settlement framework and the centers of concentration of economic activity. It is established that the districts of the North-East of the region (with the exception of Velikoustyugsky) form a cluster of territories with a relatively low number of permanent population. The continuing infrastructural, socio-economic, demographic problems of these territories determine the further strengthening of spatial unevenness in the level of socio-economic development of municipalities and the asymmetry of population distribution, which ultimately reduces the possibilities of ensuring a balanced spatial development of the region. The methods of analysis, synthesis and generalization of the received information, economic and statistical analysis, as well as graphical and tabular methods of data visualization were used in the work. The information base of the study was made up of data posted on the official websites of the Federal State Statistics Service and its territorial subdivision in the Vologda region, as well as information from specialized sites for calculating the distance. The methodological basis of the study was the works of domestic and foreign scientists in the field of regional and spatial economics. The results obtained in the course of the study can be used by regional authorities in the framework of improving the policy of socio-economic development of the region, as well as by researchers and other interested persons when conducting research on similar topics.
Read the full article
Keywords: region, socio-economic asymmetry, space, Moran's index, spatial autocorrelation, Vologda region.
DOI 10.17586/2310-1172-2021-14-3-86-97