Assessment of the Features of the Spatial Organization of the Russian Economy Based on the Global and Local Moran Indices

Elena Kozonogova () and Julia Dubrovskaya ()
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Elena Kozonogova: Perm National Research Polytechnic University
Julia Dubrovskaya: Perm National Research Polytechnic University

A chapter in Eurasian Economic Perspectives, 2020, pp 195-203 from Springer

Abstract: Abstract The uneven economic and social development of various regions and municipalities in many countries is a negative consequence of the inefficient spatial organization of the economy. A system of spatial development indices is developed in the article using the example of Russian regions. A significant and positive spatial autocorrelation was revealed as a result of calculations of the global Moran index using the matrix of weights of inverse distances and the boundary matrix of weights. Local Moran indices were calculated in the process of identifying groups of territories with a low level of spatial development; a spatial scattering diagram and a geographical map were constructed. The results obtained make it possible not only to determine the spatial development factors of specific regions but also to develop recommendations for improving the spatial organization of the country’s economy as a whole.

Keywords: Spatial organization of economics; Spatial autocorrelation; Global Moran index; Local Moran index; Interregional heterogeneity; Weight matrices (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:eurchp:978-3-030-48531-3_14

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DOI: 10.1007/978-3-030-48531-3_14

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