Microeconomics and the Dynamic Modelling of Spatial Systems
The articulation of new methods for analyzing the dynamics of spatial systems is a welcome development. Of all the weaknesses in conventional methods, the inadequacy of the treatment of time has been the most glaring. The adoption of the mathematics of nonlinearity has helped us to address some old problems in novel ways and it has opened up some important new lines of inquiry. However, some of the ways in which nonlinear dynamics has been incorporated into spatial analysis has, in my view, failed to resolve the key problems associated with producing satisfactory theories of spatial dynamics and may even have exacerbated them. I will argue that older approaches, which seem to have been largely forgotten, provide better stems than most of the currently dominant approaches on which to graft the methods of nonlinear mathematics.. In particular, I will advocate the redevelopment of ideas associated with recursive programming. They appear to offer the opportunity to elaborate new theories without the restrictions attendant on the use of what I will refer to as the planning-model strategy.
KeywordsEntropy Income Assimilation Oligopoly
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