Agglomeration: A Dynamic Approach
NBER Working Paper No. 20728
This paper studies the sources of agglomeration economies in cities. We begin by introducing a simple dynamic spatial equilibrium model that incorporates spillovers within and across industries, as well as city-size effects. The model generates a dynamic panel-data estimation equation. We implement the approach using detailed new data describing the industry composition of 31 English cities from 1851-1911. We find that industries grow faster in cities where they have more local suppliers or other occupationally-similar industries. Industries do not grow more rapidly in locations in which they are already large, though there can be exceptions. Thus, dynamic agglomeration appears to be driven by cross-industry effects. Once we control for these cross-industry agglomeration effects, we find a strong negative relationship between city size and city-industry growth. This allows us to construct the first estimate of the aggregate strength of the cross-industry agglomeration forces. Our results suggest a lower bound estimate of the overall strength of agglomeration forces equivalent to a city-size divergence rate of 2.1-3.3 % per decade.
Document Object Identifier (DOI): 10.3386/w20728
Published: W. Walker Hanlon, Antonio Miscio, Agglomeration: A long-run panel data approach, Journal of Urban Economics, Volume 99, 2017, Pages 1-14, ISSN 0094-1190, https://doi.org/10.1016/j.jue.2017.01.001.
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