Control theory in infinite dimension for the optimal location of economic activity: The role of social welfare function
Abstract
In this paper, we consider an abstract optimal control problem with state constraint. The methodology relies on the employment
of the classical dynamic programming tool considered in the infinite dimensional context. We are able to identify a closed-form solution to the
induced Hamilton-Jacobi-Bellman (HJB) equation in infinite dimension and to prove a verification theorem, also providing the optimal control
in closed loop form. The abstract problem can be seen an abstract formulation of a PDE optimal control problem and is motivated by an economic application in the context of continuous spatiotemporal growth models with capital di usion, where a social planner chooses the optimal location of economic activity across space by maximization of an utilitarian social welfare function. From the economic point of view, we
generalize previous works by considering a continuum of social welfare functions ranging from Benthamite to Millian functions. We prove that
the Benthamite case is the unique case for which the optimal stationary detrended consumption spatial distribution is uniform. Interestingly
enough, we also find that as the social welfare function gets closer to the Millian case, the optimal spatiotemporal dynamics amplify the typical
neoclassical dilution population size effect, even in the long-run.
Origin : Files produced by the author(s)
Loading...