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Bulletin of the State University of Education. Series: Economics

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THE ECONOMIC EFFECT OF AUTOMATED ANALYSIS OF THE SYSTEM OF THE BEST AVAILABLE TECHNIQUES OF THE RUSSIAN BUILDING COMPLEX

https://doi.org/10.18384/2310-6646-2020-3-25-32

Abstract

Aim. To formulate the main motivational factors for the introduction of automated, intelligent, best available techniques for the construction complex (hereinafter BAT). The BAT National Standards have already been introduced into building industry and it is possible to analyze their economic effect. The article also reflects the statistical data testifying to the increase in competitiveness, export attractiveness, modernization, environmental friendliness and resource saving of the industry, which certainly leads to better working and living conditions. Methodology. The analysis of statistical material is carried out (a curve on reducing the cost of residential complex construction and increasing the export activity of building production). The positive consequences of the automated and intelligent analysis of the technologies of the building complex are estimated. Results. The analysis showed that an intelligent automated analysis of the BAT for the construction complex leads to a number of positive changes, such as modernization of enterprises, increase in environmental friendliness, improvement of working conditions, and reduction in the cost of construction. Research Implications. Practical significance of the study is due to the fact that the BAT National Standards dictate the formation of an effective, competitive and environmental model of economic development. The advantage of this model is in its human-oriented character. The BAT standards reduce environmental pollution, strive for energy efficiency, motivate to modernize, promote intellectualization and automation, the result of this policy is to improve the quality of working and living conditions.

About the Author

I. A. Abrosimova
Moscow State University of Civil Engineering
Russian Federation


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ISSN 2949-5040 (Print)
ISSN 2949-5024 (Online)