Population Symbiotic Evolution in a Model of Industrial Districts

Population Symbiotic Evolution in a Model of Industrial Districts

U. Merlone (University of Torino, Italy)
DOI: 10.4018/978-1-59140-984-7.ch021
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Abstract

This chapter considers a model of industrial districts where different populations interact symbiotically. The approach consists of the parallel implementation of the model with jESOF and plain C++. We consider a district decomposition where two populations, workers and firms, cooperate while behaving independently. We can find interesting effects both in terms of worker localization consequences and of the dynamic complexity of the model, with policy resistance aspects.By using a multiple implementation strategy, we compare the advantages of the two modeling techniques and highlight the benefits arising when the same model is implemented on radically different simulation environments; furthermore we discuss and examine the results of our simulations in terms of policy-making effects.

Key Terms in this Chapter

Industrial District: A geographic area containing a number of firms producing similar products, including firms operating at different stages of a production process.

Agent-Based Simulation (ABS): A simulation technique where some of the simulated entities are modeled in terms of agents.

Industrial Organization: The way in which industrial activity is organized into firms and industries, and how that organization is related to economic performance.

Cooperation: The association of persons or businesses for common, usually economic, benefit.

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