Spatial aspects of regional infrastructure distribution (the case of Sverdlovsk region)

Julia G. Lavrikova, Arina V. Suvorova

Abstract


The article discusses the correlation between the localization of specific infrastructure objects within a region and characteristics of this region's territorial development. Conceptually the study is grounded in the theory of regional economics, spatial analysis and modelling and uses the tools of spatial autocorrelation analysis, such as the global and local Moran's I, and map-based spatial analysis. The settlement system of Sverdlovsk region (Russia) is considered as a key characteristic of its territorial development and the analysis shows the correlation between settlement patterns and the distribution of certain objects of social infrastructure (places of attraction) across the region’s territory. Access to infrastructure is an important factor which attracts people to this or that municipality. However, the key parameter that determines the spatial aspects of infrastructure distribution in the region is the emergence and development of the factors underlying this process. The article demonstrates that the localization of infrastructure objects built to generate economic effects and bring profit to their developers to a greater extent correlates with the prospective transformations of the settlement system (primarily agglomeration processes) rather than with its current characteristics (such correlation is more typical of the infrastructure objects specifically intended to address social issues). These research findings can be used by policy-makers for setting priorities of regional development, which would shape the spatial transformations of the territory.

Keywords


space, settlement system, distribution, social infrastructure, region, spatial autocorrelation, Moran's I, map-based spatial analysis, Sverdlovsk region

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References


Thünen, J. (1826). Der isolirte Staat in Beziehung auf Landwirtschaft und Nationalökonomie. Hamburg: Wirtschaft & Finan.

Weber, A. (1922). Standort der Industrien. Tubingen.

Losch, А. (1954). The Economics of Location. New Haven: Yale University Press.

Christaller, W. (1980). Die zentralen Orte in Süddeutschland. Eineökonomisch-geographische Untersuchungüber die Gesetzmäßigkeit der Verbreitung und Entwicklung der Siedlungen mit städtischer Funktionen. Wissenschaftliche Buchgesellschaft, Darmstadt.

Launhardt, W. (1882). Die Bestimmung des zweckmässigsten Standortes einer gewerblichen Anlage. Zeitschrift des Vereinesdeutscher Ingenieure, 26, 106–115.

Boudeville, J. (1968). L’espace et les Pôles de Croissance. Paris: PUF.

Perroux, F. (1954). L’Europe sans Rivages. Grenoble: Presses universitaires de Grenoble.

Friedmann, J. (1986). The World city hypothesis. Development and Change, 4, 12–50.

Fujita, M., Krugman, P., &Venables, A. J. (1999). The Spatial Economy: Cities, Regions, and International Trade. Cambridge: The MIT Press.

Nekrasov, N. N. (1978). Regional Economy: Theory, Problems, Methods. Moscow: Ekonomika. (In Russ.)

Aleksandrov, I. G. (1921). Economic Zoning of Russia. Moscow. (In Russ.)

Probst A.E. (1965). Efficiency of Territorial Organization of Production: Methodological Essays. Moscow: Mysl. (In Russ.)

Tatarkin, А. I., & Animitsa, E. G. (2012). Formation of the paradigm theory of the regional economy. Economy of Region, 3, 11–21. (In Russ.)

Moran, P. (1948). The interpretation of statistical maps. Journal of the Royal Statistical Society, 10(2), 243–251.

Geary, R. (1954). The continiguity ratio and statistical mapping. The Incorporated Statistician, 5, 115–145.

Cliff, A., & Ord, J. K. (1981). Spatial Processes: Model, and Application. London: Pion.

Anselin, L. (1988). Spatial Econometrics: Methods and Models. Dordrecht: Kluwer Academic.

Pavlov, Ju. V., & Koroleva E. N. (2014). Spatial interactions: estimation based on global and local Moran indexes. Spatial Economics, 3, 95–110. (In Russ.)

Grigoriev, A. A. (2018). Spatial autocorrelation of educational attainment in the Russian Federation. Psychology. Journal of Higher School of Economics, 15(1), 164–173. (In Russ.) DOI: 10.17323/1813-8918-2018-1-164-173

Demidova, O., & Signorelli, M. (2012). Determinants of youth unemployment in Russian regions. Post-Communist Economies, 24(2), 191–218.

Balash, O. S. (2012). Statistical research of the spatial clustering of regions of Russia. News of Tula State University. Economic and Legal Sciences, 2-1, 56–65. (In Russ.)

Inozemcev, E. S., & Kochetygova, O. V. (2018). Spatial panel analysis of fertility and life expectancy in Russia. Izv. Saratov Univ. (N. S.), Ser. Economics. Management. Law, 18 (3), 314–321. (In Russ.) DOI: 10.18500/1994-25402018-18-3-314-321

Hubert, L. J., Golledge R. G., & Costanza C. M. (1981). Generalized procedures for evaluating spatial autocorrelation. Geographical Analysis, 13, 224–233. DOI: 10.1111/j.1538-4632.1981.tb00731.x

Geography, Institutions and Regional Economic Performance. (2012). In R. Crescenzi, & M. Percoco (Eds.). Berlin: Springer Science & Business Media.

Rusanovskiy, V. A., & Markov, V. A. (2016). The effect of a spatial factor on regional differentiation of unemployment in the Russian economy. Studies on Russian Economic Development, 5, 144–157. (In Russ.)

Averkieva, K. V., Antonov, E. V., Denisov, E. A., & Faddeev, A. M. (2015). Spatial structure of the urban system of the North of Sverdlovsk oblast. Bulletin of the Russia Academy of Sciences. Geographical series, 4, 24–38.

Izhguzina, N. R. (2017). The calculation of synergistic effect of urban agglomerations (exemplified by Sverdlovsk oblast). Journal of the Ural State University of Economics, 2(70), 75–89. (In Russ.)




DOI: https://doi.org/10.15826/recon.2019.5.4.016

Copyright (c) 2019 Julia G. Lavrikova, Arina V. Suvorova

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Online ISSN 2412-0731