Abstract

The aim of this paper is to examine the role of thermodynamics, and in particular, entropy, for the development of economics within the last 150 years. The use of entropy has not only led to a significant increase in economic knowledge, but also to the emergence of such scientific disciplines as econophysics, complexity economics and quantum economics. Nowadays, an interesting phenomenon can be observed; namely, that rapid progress in economics is being made outside the mainstream. The first significant achievement was the emergence of entropy economics in the early 1970s, which introduced the second law of thermodynamics to considerations regarding production processes. In this way, not only was ecological economics born but also an entropy-based econometric approach developed. This paper shows that non-extensive cross-entropy econometrics is a valuable complement to traditional econometrics as it explains phenomena based on power-law probability distribution and enables econometric model estimation for non-ergodic ill-behaved (troublesome) inverse problems. Furthermore, the entropy economics has accelerated the emergence of modern econophysics and complexity economics. These new directions of research have led to many interesting discoveries that usually contradict the claims of conventional economics. Econophysics has questioned the efficient market hypothesis, while complexity economics has shown that markets and economies function best near the edge of chaos. Quantum economics has already appeared on the horizon, which recognizes money as a fundamental measurement device in the economy. The development of these sciences may indicate the need to reformulate all mainstream economics from its foundations.

Highlights

  • Since its emergence, economics has been strongly methodologically linked to physics

  • Non-extensive cross-entropy econometrics (NCEE) is one of the most interesting trends in entropy economics as it is based on power-law probability distribution and it is a method of econometric model estimation, which is useful for non-ergodic ill-behaved inverse problems [40,41]

  • Not all of them have been fully accepted by mainstream economics

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Summary

Introduction

Economics has been strongly methodologically linked to physics. These links made neoclassical economics possible. Neoclassical economics, which is still taught today, was created, but its methodological basis has been forgotten This basis referred to thinking about markets and economies as closed systems striving to achieve a state of equilibrium. The emergence of the global financial crisis has made it clear that today we again need an economics based on physical methods, but this can no longer be 19th-century physics—it has to be replaced by 21st-century physics. This is proven by the results obtained by economics and econometrics of entropy, econophysics, complexity economics and, more recently, by quantum economics. Despite the great importance of such analogies and metaphors, since the paper focuses mainly on similarities following the isomorphism principle, attempts have been made to limit the transfer of entropy formulae from physics to economics to logical homologies

A Brief History of the Emergence and Development of the Entropy Concept
The Birth of Entropy Economics
Thermodynamic Entropy as a Metaphor in Organization and Management Sciences
Thermoeconomics and Operational Definitions of Entropy in Economics
Non-Extensive Cross-Entropy Econometrics
A Criterion for Applying Physics Methods in Economics
The Principium Rationis Sufficientis as a Mental Aspect of Causality
Types of Equilibrium in Economics
Anticipating the Existence of Dissipative Structures in Economics and Physics
The Need to Take Open Systems into Account in Economics
8.10. Similar Limitations of Cognition in Physics and in Economics
8.11. Collective Facts as the Basis of Complexity Economics and Quantum Economics
8.13. The Basic Difference between Social and Physico-Chemical Sciences
8.14. Sources of Econophysics Advantage over Mainstream Economics
Modern Econophysics
11. Complexity Economics
12. Conclusions

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