Spatial evolution of industries modelled by cellular automata
| Autor: | Martin Zoričak, D. Horváth, Vladimír Gazda, Oto Hudec |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Marketing
Zipf's law Technological change Computer science Restructuring media_common.quotation_subject 05 social sciences Cellular automaton Competition (economics) Industrial Evolution 0502 economics and business Conceptual model 050211 marketing Evolutionary dynamics 050203 business & management Industrial organization media_common |
| Zdroj: | Journal of Business Research. 129:580-588 |
| ISSN: | 0148-2963 |
| DOI: | 10.1016/j.jbusres.2019.12.043 |
| Popis: | Traditional economic theories often neglect evolutionary aspects and thus offer sterile answers to essential questions grounded in economic reality, such as the dependence of industrial structure on technological progress, evolution of the cooperation/competition within or among industries, or evolutionary stability of cooperation networks. We present a conceptual model of industrial evolution based on agent-based modelling and cellular automata. In evolutionary simulation, the least fitted firms are repeatedly forced to adapt to the changing environment by partial mutations of their profiles. Following self-organised criticality, even a small change in an industrial profile can cause massive waves of firm restructuring causing new spatial patterns. In the long term, new industrial profiles emerge, and firms become self-organised in spatial clusters evolving towards Zipf’s rank-size distribution. The proposed model is able to appropriately explain the long-term evolution of industrial economic structures in both time and space. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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