Comparative dynamics of construction organization indicators of the Russian Federation and regional companies

Author:

Trusova Alla Yu.ORCID

Abstract

The construction industry is always the most important lever in the development of the economic level of the country, regions, and settlements of various sizes. The construction sector ensures positive dynamics of economic progress and ensures increased employment of citizens. Continuous changes in the economic situation require constant study of key indicators that determine the development of the industry. It is relevant to regularly monitor the indicators of the construction sector of the economy with subsequent forecasting of the development of the industry as a whole and individual companies. The work used the methodology of trend and adaptive forecasting models; assessment of the model parameters of key construction indicators made it possible to calculate forecast levels. Particular attention is paid to adaptive forecasting models and consideration of their ability to adapt to changes in current values and automatically update forecasts based on the latest observations. This is especially useful in situations where the data has trends, seasonality, or other systematic changes over time. Adaptive models allow you to take these factors into account and evaluate the forecast with greater accuracy. The results of the study are useful for making decisions in the field of construction, as well as for developing plans for further study of the development strategy of the construction industry of the Samara region, the Volga Federal District and the Grad-Invest company. The work examines a wide range of issues, in particular, it notes the scale of development of indicators in the construction sector in the Russian Federation, in the Samara region and a single company, modeling the dynamics of selected indicators and assessing their forecast. The data for the work are statistical indicators selected from the annual final reports of construction activities in the Russian Federation and Grad-Invest LLC.

Publisher

Samara National Research University

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