Spatial Agglomeration Dynamics

Working Paper: CEPR ID: DP3208

Authors: Danny Quah

Abstract: This Paper develops a model of economic growth and activity locating endogenously on a 3-dimensional featureless global geography. The same economic forces influence simultaneously growth, convergence, and spatial agglomeration and clustering. Economic activity is not concentrated on discrete isolated points but instead a dynamically-fluctuating, smooth spatial distribution. Spatial inequality is a Cass-Koopmans saddlepath, and the global distribution of economic activity converges towards egalitarian growth. Equality is stable but spatial inequality is needed to attain it.

Keywords: cluster; continuous space; convergence; distribution dynamics; globalization; growth; knowledge; saddlepath dynamics; spatial inequality; spatial spillovers

JEL Codes: D30; O10; O41


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
knowledge accumulation (O36)spatial agglomerations (R12)
knowledge spillovers (O36)economic activity (E20)
spatial inequality (R12)egalitarian growth (O40)
number of spatial modes (C49)income distributions (D31)
spatial agglomerations (R12)economic growth (O49)
historical and geographical factors (N93)spatial distributions of economic activity (R12)

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