Classifying the Sectors of the Russian Economy by the Level of Integration Activity Based on the Use of the Model for the Splitting of Probability Distributions
Available Online February 2019.
- https://doi.org/10.2991/cmdm-18.2019.1How to use a DOI?
- integration activity, parametric modeling, mergers and acquisitions, statistic
- Statistics of mergers and acquisitions is a traditional direction for Western and international statistics and a new direction for the Russian statistical science. In accordance with the recommendations of Eurostat and the Organization for Economic Cooperation and Development, in order to improve business statistics in Russia, comprehensive information is needed on the integration activity of economic entities in various sectors of the Russian economy. The statistical analysis of integration processes and major trends in the development of the Russian market of mergers and acquisitions in the context of the introduction of economic sanctions and import substitution has been conducted; a modern econometric tool for assessing the integration activity of the Russian economy has been proposed.The analysis results of the development of main directions of the Russian market of mergers and acquisitions in the conditions of global transformation processes have been generalized. The proposed econometric tooling for classifying the sectors of the Russian economy by the level of integration activity based on the use of the model for the splitting of probability distributions mixtures made it possible to quantify sectors disproportions and identify the class of integrative-active sectors of the national economy before and after the imposing of the economic sanctions on Russia.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Mariia Karelina PY - 2019/02 DA - 2019/02 TI - Classifying the Sectors of the Russian Economy by the Level of Integration Activity Based on the Use of the Model for the Splitting of Probability Distributions BT - Third Workshop on Computer Modelling in Decision Making (CMDM 2018) PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/cmdm-18.2019.1 DO - https://doi.org/10.2991/cmdm-18.2019.1 ID - Karelina2019/02 ER -