A new approch in environmental economics modelling

Authors

  • Sándor Karajz University of Miskolc

Keywords:

-

Abstract

In this study an integrated environmental economics model was created. This model describes economic processes on the basis of generic algorithms. The economics approaches is looking at the transdisciplinary approach in a broader sense. One type of approach is the analysis of economics and biology, which according to the scientific literature constitutes a part of scientific dimensions of the modern environmental economics. The importance of the model lies firstly, in the fact that while constructing it an imitation of dynamic economic processes can be used. Secondly, it can be used for explanation and solution of environmental problems when the application probability and success of strategies are separated.

Author Biography

Sándor Karajz, University of Miskolc

Ph.D, Associate Professor, Head of the Institute of Economic Theory, University of Miskolc

References

Arifovic, J. (1999): Inflationary deficit financing in an Open Economy: Evolutionary Dynamics. Santa Fe Working Paper 99-05-038E.

Birchenhall, C. (1995): Modular Technical Change and Genetic Algorithms. In: Computational Economics, 8, 233-253. o.

Birchenhall, C., Kastrinos, N., Metcalfe, S. (1997): Genetic algorithms in evolutionary modelling. In: Evolutionary Economics 7: 375-393. o.

Brenner, T. (1998): Can evolutionary algorithms describe learning processes? In: Journal of Evolutionary Economics, 8/1998, 271-283. o.

Dawid, H., Kopel, M. (1998): On economic applications of the genetic algorithm: a model of the cobweb type. In: Journal of Evolutionary Economics, 8/1998, 297-315. o.

Karajz S. (2003): A közgazdaságtan biológiai megközelítése, környezet-gazdaságtani alkalmazásokkal. PhD értekezés, Miskolc.

Lawrenz, C. (1999): Rationale Erwartungen als Ergebnis eines evolutionären Prozesses? Lernen mit genetischen Algorithmen. Jena: Arbeitspapier für den 4. Doktoranden- und Habilitanden-Workshop „Evolutorische Ökonomik” in Buchenbach, 12.-15.05.1999. Max-Planck-Institut zur Erforschung von Wirtschaftssystemen.

Nissen, V. (1997): Einführung in Evolutionäre Algorithmen. Braunschweig: Vieweg Verlag.

Riechmann, T. (1999): Learning and behavioral stability: An economic interpretaton of genetic algorithms. In: Journal of Evolutionary Economics, 9/1999, 225-242. o.

Schöneburg, E., Heinzmann, F., Feddersen, S. (1994): Genetische Algorithmen und Evolutonsstrategien. Bonn: Addison-Wesley.

Downloads

Published

2006-11-15

How to Cite

Sándor, K. (2006). A new approch in environmental economics modelling. Strategic Issues of Northern Hungary, 3(02), 127–142. Retrieved from https://ojs.uni-miskolc.hu/index.php/stratfuz/article/view/2627