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JOURNALS // Informatsionnye Tekhnologii i Vychslitel'nye Sistemy // Archive

Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2021 Issue 1, Pages 20–31 (Mi itvs716)

This article is cited in 1 paper

DATA PROCESSING AND ANALYSIS

Investigation of the relationship between production functions and socio-economic indicators of Russian regions by the method of optimal partitioning

I. L. Kirilyuka, A. V. Kuznetsovab, O. V. Senkoc

a Institute of Economics, Russian Academy of Sciences, Moscow, Russia
b Emanuel Institute of Biochemical Physics, Russian Academy of Sciences, Moscow, Russia
c Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia

Abstract: The dependence of the emergent characteristic – returns to scale, calculated on the basis of production functions in the regions of the Russian Federation, on various indicators characterizing the regions, including macroeconomic indicators, characteristics of economic reproduction processes and socio-economic institutions, geographical indicators, etc. was investigated. The calculations were carried out using the method of optimal valid partitioning, which implies verification of patterns in the data using permutation tests. As a result of the analysis, a statistically significant relationship with returns to scale was revealed for a significant percentage of indicators or their combinations, which indicates both the real existence of the interdependence of these indicators with the returns to scale, and the sufficient accuracy of estimates of the parameters of the Cobb–Douglas model for the time series involved in the analysis.

Keywords: data mining, optimal valid partitioning, pattern verification, permutation tests, production functions, returns to scale, regional economics, economic reproduction.

DOI: 10.14357/20718632210103



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