Analytical Notes on Growth of Economic Indicators of the Enterprise

Abstract

A brief analysis of the distribution regularities of economic indicators is presented. The role of the exponential distribution law of random variable and its direct connection with the measurement of information about the state of the economic system is determined. The process of additive and multiplicative growth of economic reliability indicators is briefly substantiated. The probability and intensity of the system state are singled out among these indicators. These indicators were considered in relation to the exponential distribution law of random variables associated with multiplicative growth. The growth of economic reliability indicators is expressed through the natural logarithm, which allows to determine the amount of information belonging to the system element. The additive growth is due to the event occurrence with some probability, which transferring an element from one state to the opposite, and the multiplicative growth is due to the simplest streaming process of the states of system elements. Considering the total growth, the mathematical expressions for determining the information entropy are obtained. These expressions are based on logarithmic calculations. Quantitative values of entropy are a measure of assessing the state and level of economic reliability of the system. Keywords -economic system, economic indicators, information entropy; additive and multiplicative growth, integrated reportingUnderstanding the role and importance of the tasks of the system-information analysis, let's further limit ourselves to consideration of the growth of economic indicators of the enterprise, without excluding the role of information entropy.