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Optimal agglomerations in dynamic economics
Institution:1. Department of Economics, University of Wisconsin, United States;2. Department of Economics, University of Missouri, United States;3. Department of International and European Economic Studies, Athens University of Economics and Business, Greece;4. Department of Statistics, Athens University of Economics and Business, Greece;1. Institute of Interdisciplinary Information Sciences, Tsinghua University, Beijing, China;2. Institute of Theoretical Computer Science, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China
Abstract:We study rational expectations equilibrium problems and social optimum problems in infinite horizon spatial economies in the context of a Ramsey type capital accumulation problem with geographical spillovers. We identify sufficient local and global conditions for the emergence (or not) of optimal agglomeration, using techniques from monotone operator theory and spectral theory in infinite dimensional Hilbert spaces. We show that agglomerations may emerge, with any type of returns to scale (increasing or decreasing) and with the marginal productivity of private capital increasing or decreasing with respect to the spatial externality. This is a fairly general result indicating the importance of the network structure of the spatial externality relative to the properties of the aggregate production function. Our analytical methods can be used to systematically study optimal potential agglomeration and clustering in dynamic economics.
Keywords:Agglomeration  Spatial spillovers  Spillover induced instability  Rational expectations equilibrium  Social optimum  Monotone operators
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