Abstract
An industry distribution model provides an important reference point for enterprises to extend business scope, and for governments to make industrial area planning. Current industry development models usually ignore the spatial distribution of enterprises, or build the models in virtual spaces. This paper proposes an iterating Model of Industry development in Real Space (MIRS) based on national division standards. Utilizing a multi-level iterating structure and a random concentration distribution approach, MIRS presents the fractal characteristics of log-normal distribution, self-similarity, and increasing trend of fractal information dimension. The coincidence between MIRS and actual industries is verified by the data collected from three industries in China, this allows MIRS to be an effective approach for predicting industry behaviors and a quantitative reference for decision-makers of companies.
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