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Erschienen in:
Mathematical Methods of Budget Modeling Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

3. Energy-Entropic Methods in Assessment and Control of Economic Systems

verfasst von : Galimkair Mutanov

Erschienen in: Mathematical Methods and Models in Economic Planning, Management and Budgeting

Verlag: Springer Berlin Heidelberg

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Abstract

New knowledge often arises at the intersection of different scientific schools when well-known laws of one science adapted to and interpreted by the other science enable to look at the studied phenomenon at the other angle. An example is application of the thermodynamical approach to the mathematical description and business system management focused on the decrease in their entropy and increase in productive efficiency. A theoretical approach proposed by the author becomes even more valuable as the national theory and practice do not contain any developments in the assessment of business system efficiency based on the energy-entropic method. The universality of the proposed method is based on the fact that all systems of the material world—wildlife and inanimate nature, technology and production are arenas of ever-present changes in the amounts of energy and entropy, studying of which can give new knowledge of laws governing functioning and development of such systems. This research shows scientifically-based application of the energy-entropic method to the assessment of economic efficiency of any production.

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Vorheriges Kapitel Methods and Mathematical Models of Budget Management
Nächstes Kapitel Currency Trading Methods and Mathematical Models
Fußnoten
1
Energy Z transferred by mass can depend on the means of transition, whereas the amount of mass must remain the same.
 
2
Considering the material model of production, we do not analyze many non-material types of service, including so-called “services of financial intermediaries”.
 
3
Visually identical designation of the state of system S and entropy S in this context does not cause misinterpretation.
 
4
Actual specific power intensity can differ from the calculated values because of the usage of homogeneous but qualitatively different types of energy resources. In other words, it is possible to obtain different quantities of calories by burning the same type of fuel. To get a more precise estimation of the caloric content of power resources, for example, on the territory of Kazakhstan, it is necessary to correct the obtained coefficients for the discrepancy (in %) between calculated and actual power intensity in Kazakhstan based on the assumption that the entire territory has the same type of consumption and the same quality of power resources.
 
5
Gross domestic product (GDP) is used as a key economic indicator with which power indicators are compared. In conditions where the role of the non-productive sphere is a strong part of the increase of the total efficiency of usage of major production factors, the GDP is a more adequate indicator of economic development than the national income, covering as it does only the sphere of goods production.
 
6
It is necessary to note differences in the entropy values obtained from deviations of the production process parameters from the planned values and deviations from the statistical data for previous periods of time. The choice of the method of calculation depends on the research purpose and conditions.
 
7
The elements of the system and vectors-deviations have the same notations to avoid misinterpretations.
 
8
Checked by repeated computing experiments.
 
9
In order to check the difference in deviation values obtained in different ways.
 
10
An example of the estimation procedure is derivation of estimate (3.29) using Table 3.5.
 
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Metadaten
Titel
Energy-Entropic Methods in Assessment and Control of Economic Systems
verfasst von
Galimkair Mutanov
Copyright-Jahr
2015
Verlag
Springer Berlin Heidelberg
Buch
Mathematical Methods and Models in Economic Planning, Management and Budgeting

Print ISBN: 978-3-662-45141-0

Electronic ISBN: 978-3-662-45142-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-662-45142-7_3