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Abstract

This paper shows that the evolutionary process of spatial agglomeration in multi-regional core-periphery models can be explained analytically by a much simpler method than the continuous space approach of Krugman 1996. The proposed method overcomes the limitations of Turing-s approach which has been applied to continuous space models. In particular, it allows us not only to examine whether or not agglomeration of mobile factors emerges from a uniform distribution, but also to trace the evolution of spatial agglomeration patterns i.e., bifurcations from various polycentric patterns as well as from a uniform pattern with decreases in transportation cost.



Item Type: MPRA Paper -

Original Title: A Simplified Approach to Analyzing Multi-regional Core-Periphery Models-

Language: English-

Keywords: agglomeration; core-periphery model; multi-regional; stability; bifurcation-

Subjects: F - International Economics > F2 - International Factor Movements and International Business > F22 - International MigrationF - International Economics > F1 - Trade > F15 - Economic IntegrationR - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R13 - General Equilibrium and Welfare Economic Analysis of Regional EconomiesR - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R12 - Size and Spatial Distributions of Regional Economic ActivityC - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C62 - Existence and Stability Conditions of Equilibrium-





Autor: Akamatsu, Takashi

Fuente: https://mpra.ub.uni-muenchen.de/21739/







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