Potencial criativo e padrões de migração

The present work displays a computational agent-based model that aims to comprehend the migratory behaviors of the creative class and its relationship with the urban agglomeration patterns and the creative potential. In the model formulation, we used concepts from evolutionary economic geography, network theory and creative economy literature. The model simulates the learning, interaction and migration of the agents, taking ethnic, political and sexual diversity into consideration, as well as urban amenities and job opportunities as attractive factors to the creative class. As a result, we observe an exponential relationship between the creative potential and a locations’ population, suggesting that big urban centers do have a relative and absolute edge in terms of potential to innovate. Among the variables that interfere in the growth speed of the creative potential, the amount of exchanged knowledge between agents seems to have a bigger effect than the number of interactions between agents.