
Integral analysis of the model of profitability of fixed assets in the construction industry of the Russian Federation
Author(s) -
M. V. Matveeva,
Evgeniy Filatov
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/751/1/012157
Subject(s) - fixed asset , profitability index , productivity , revenue , business , industrial organization , context (archaeology) , fixed cost , return on assets , finance , operations management , economics , microeconomics , accounting , production (economics) , macroeconomics , paleontology , biology
One of the main objectives of the company is to increase profits through the correct and rational use of fixed assets. Knowing about each element of fixed assets, their physical and moral wear and tear, and the factors that affect fixed assets, managers can improve the efficiency of using fixed assets and accelerate productivity growth. As a result, many companies strive to improve the efficiency of their fixed assets. This is the key to increasing output, which ultimately leads to higher revenues, and, consequently, to an increase in profitability. Therefore, the problem of maximum efficiency of fixed assets should become one of the key issues for any organization, not only construction. The article presents the author’s model of profitability of fixed assets. Currently, the construction industry of the Russian Federation is experiencing a number of difficulties in its development, but at the same time it has a good chance of increasing its competitiveness and integration into the world market. The object of research of the article is the construction industry of the Russian Federation in the context of three main types of construction: construction of buildings; construction of engineering structures; specialized construction works. The article describes one of the author’s methods of integral factor analysis, which allows you to assess the degree of influence of factors on changes in the performance indicator in an accessible and relatively simple way.