The paper presents the results of the study in the field of ensuring the business stability of industrial and energy enterprises by determining the influence of external and internal factors. Identification of stability criteria was carried out by an expert survey using a simple but reliable mathematical apparatus. The final integral indicator of the economic stability of an industrial enterprise was obtained by a calculation and expert method using economic and mathematical modeling. The proposed method is quite universal and can be used to assess the stability of an enterprise over time, as well as to compare the stability of several enterprises with each other.
The present article proposes and tests a new approach to the assessment of the digital economy development in order to obtain evaluative knowledge (qualitative assessments) from quantitative indicators of the constituent entities of the Russian Federation. The distinctive features of the proposed approach are the integration of cluster analysis and qualitative assessment, as well as the use of elements of the fuzzy set theory for modelling evaluative knowledge and presenting it in linguistic form at three levels of interpretation. Three methods (K-means, BIRCH, DBSCAN), differing in terms of grouping principles, were applied to improve the quality of clustering. The most suitable method for clustering the constituent entities of the Russian Federation was automatically selected based on a proven quality metric. The developed automated methodology for qualitative assessment of digital economy was tested on 15 indicators observed over 9 years, presented on the website of the Federal State Statistics Service for 83 regions of the Russian Federation. The study identified six clusters, for which three classes of qualitative assessments were determined, characterising the problems of digital economy development by indicators, their groups and year based on the aggregation of linguistic assessments. Thus, the level of the indicator (Low, Medium, High), as well as belonging to the problem according to the group of indicators (Problem/No problem) and according to all indicators (Developed/Developing) were estimated for each region in the clusters. Analysis of qualitative estimates obtained from various regional numerical indicators showed that the most «problematic» in 2010 and in 2018 was the group of indicators «Science and Innovation». Additionally, the group of indicators «Economic Efficiency» demonstrated a negative trend in the period 2010-2018, while a positive trend was observed in the group of indicators «Information Society» and «Labour Market».
The results of state reforms in the sphere of housing and communal services have been summarized and analyzed in the article. The importance of housing and communal services as a branch of the economy has been substantiated. The state of housing and communal services has been investigated and an assessment of the effectiveness of reforms in this area has been given. The characteristics of the main measures and projects on modernization of housing and communal services has been given. Based on the analysis of statistical indicators, the trends in the development of the industry have been designated. The conclusion about the effectiveness of the reforms of housing and communal services has been made.
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