Tag: city

ASSESSMENT OF THE INTERCONNECTEDNESS OF CITIES IN THE RUSSIAN FAR EAST

Inna MANAEVA

Associate Professor of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

In.manaeva@yandex.ru

Anna TKACHEVA

Assistant of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

atkacheva1993@gmail.com

Elena CHENTSOVA

Associate Professor of the Department of Economics and Management, National University of Science and Technology “MISiS”(Stary Oskol branch), Russia,http://sf.misis.ru

chencowa@mail.ru

Elena ILYICHEVA

Deputy Director for Educational and Methodological Work, National University of Science and Technology “MISiS”(Stary Oskol branch), Russia,http://sf.misis.ru

EV.ilicheva@yandex.ru

Abstract

Today, determining the priorities of spatial and economic development of Russian cities is a key strategic goal in the Russian Federation. Acting as points of growth and connecting elements of economic processes, cities form a common framework of settlement. Existing urban disparities distort the territorial space, demonstrate its insufficient integrity, which reduces the quality of life of the population and poses a threat to socio-political stability.

The purpose of the study is to determine the features of the interconnectedness of cities in the Russian Far East using the Moran index. The estimation method is based on the calculation of the global and local Moran indices to determine the effects of connectivity of territories by indicators: “population size”, “population density”, “volume of products shipped per capita”, “average monthly salary”. The information base was the data of the Federal State Statistics Service, the distance calculation was carried out according to the data of the automobile portal. The object of the study is the cities of the Far Eastern Federal District, with a population of more than 100 thousand people in 2017.  The calculations made it possible to determine the type (direct and reverse) and the strength of interterritorial relations according to the considered parameters. According to the indicators “population size”, “population density”, there is a negative autocorrelation, according to the indicators “volume of products shipped per capita”,” average monthly salary”, there is a positive autocorrelation. The calculations revealed the presence of polarization in the territory of the Russian Far East. The strongest relationships are between Vladivostok (LISA -0,314), Khabarovsk (LISA -0,026) in terms of population; Artem (LISA -0,165) Vladivostok (LISA -0,084) – population density; Artem (LISA 0.116), Komsomolsk-on-Amur (LISA -0,036) – the volume of products shipped per capita; Ussuriysk (LISA 0.081), Artem (LISA 0.092) – average monthly wages.

The scientific significance of the conducted research consists in the development of theoretical and methodological provisions in relation to the assessment of spatial interterritorial relations. In the future, work will continue in terms of studying autocorrelation in dynamics, expanding the analyzed indicators and identifying spatial and temporal shifts, for a deeper understanding of the patterns of spatial development of cities.

Keywords: Moran index, spatial autocorrelation, inter-territorial connection, city

JEL classification: R12

 pp. 123-133

read more

ANALYSIS OF URBAN CONNECTIVITY EFFECTS OF THE SOUTHERN FEDERAL DISTRICT

Inna MANAEVA

Associate Professor of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

In.manaeva@yandex.ru

Anna TKACHEVA

Assistant of the Department of World Economy, Belgorod State National Research University, Russia, http://www.bsu.edu.ru

atkacheva1993@gmail.com

Abstract

Today, existing urban imbalances in Russia distort the territorial space, demonstrate its insufficient integrity, which leads to high differences in the quality of life of citizens and social instability. In order to make effective and scientifically sound management decisions, it is necessary to understand the mechanisms underlying the functioning of cities, which actualizes the study of the effects of their connectivity in territorial space. The aim of the study is to develop an approach that allows us to determine the effects of urban connectivity in territorial space. The estimation method is based on the calculation of global and local Moran indices to determine the effects of the connectivity of territories by indicators: “population size”, “migration growth”, “volume of shipped products per capita”. The information base was the data of the Federal State Statistics Service, the calculation of distances was carried out according to the data of the automobile portal. The object of the study is the cities of the Southern Federal District, with a population of more than 100 thousand people in 2017. The calculations made it possible to determine the type (direct and reverse) and the strength of inter-territorial relations according to the parameters under consideration: according to the indicator “population size” there is a negative autocorrelation, according to the indicator “migration growth” and “volume of shipped products per capita” – positive autocorrelation. According to the indicator of the volume of shipped products per capita, polarization was revealed: Volgograd and Volzhsky are disconnected from the rest of the group of cities, while they do not have a significant impact on nearby territories. The strongest direct inter-territorial links are identified in the group of leading cities relative to each other. The indicator of «migration growth» observes significant inverse effects, largely Maykop falls into the zone of influence of leading cities.The practical importance lies in the possibility of using the results obtained by regional authorities in developing a strategy for the development of cities and regions in terms of identifying the production clusters of the region.

Keywords: Moran index, spatial autocorrelation, inter-territorial connection, city

JEL classification: R12

read more

A STOCHASTIC MODEL OF COMPETITION BETWEEN TWO CITIES FOR MEMBERS OF THE CREATIVE CLASS

Amitrajeet A. BATABYAL

Arthur J. Gosnell Professor of Economics, Department of Economics, Rochester Institute of Technology, Rochester, NY 14623-5604, USA

aabgsh@rit.edu

Seung Jick YOO

Graduate School of International Service, Sookmyung Women’s University, Seoul, Republic of Korea

sjyoo@sookmyung.ac.kr

*Corresponding Author

Abstract

Batabyal and Yoo (2019) have recently obtained a significant result in their analysis of the use of utilitarian and Rawlsian policies by two cities to attract the creative class. They show that if one city switches to a Rawlsian or more egalitarian objective when the other city remains utilitarian, the aggregate economy of two cities becomes less egalitarian. We show that this result depends fundamentally on the assumption that the creative class population can be described by a triangular probability distribution. If this population is modeled instead with an inverted triangular probability distribution then the above result is reversed in the sense that the welfare of the worst-off member of the creative class is always enhanced when one city switches to a Rawlsian or more egalitarian objective, irrespective of the objective of the other city.

Keywords: City, Competition, Creative Class, Rawlsian, Utilitarian

JEL classification: R11, D63
read more