SHS Web of Conf.
Volume 94, 2021Sustainable Development of Regions 2020 – XVI International Scientific and Practical Conference “State. Politics. Society”
|Number of page(s)||8|
|Published online||12 January 2021|
Indices of socio-economic development in the space of characteristics of regional differentiation
Central Economics and Mathematics Institute of the Russian Academy of Sciences, Moscow, Russia
* Corresponding author: email@example.com
As a rule, the source information and methods used for construction of many indices have specifics that allow authors and experts to consider these indexes as original and recommend them for use in solving a number of management tasks. However, a comparative analysis of such indices sometimes shows that despite the peculiar names and methods of calculation, some of them do not have significant statistical differences. This paper presents an approach that allows us to compare an arbitrary set of indices and ratings that characterize the level of socio-economic development of the subjects of the Russian Federation in the space of characteristics of differentiation used in solving regional management problems. The purpose of the study is to identify indexes that do not differ significantly. Eighteen indexes are compared. At the first stage of the study, their correlation analysis is performed. Then the indices are regressed to the basic characteristics of differentiation. The analysis of cosines of angles between indices calculated using beta coefficients of regressions allows us to refine the results of correlation analysis and identify a subset of indices that are not distinguishable in solving regional management problems.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.