This paper estimates the productivity gains from agglomeration economies for a sample of the largest metropolitan areas in the United States using measures of urban agglomeration based on employment density and employment accessibility. The latter is a more accurate measure of economic proximity and allows testing for the spatial decay of agglomeration effects with increasing travel time. We find that the productivity gains from urban agglomeration are consistent between measures, with elasticity values between 0.07 and 0.10. The large majority of the productivity gains occur within the first 20 minutes, and do not appear to exhibit significant nonlinearities.
INTRODUCTIONThe existence of urban agglomeration externalities implies that the allocation of resources to cities delivers greater productivity gains than non-urban areas. This has policy implications, particularly the rationale for investing in major infrastructure. The design of agglomeration-based policies requires knowledge about the magnitude and the spatial decay of the productivity benefits from urban agglomeration across different regions. In spite of abundant research on the size of productivity gains from spatial agglomeration, there has been insufficient research on the spatial decay pattern of agglomeration effects and the presence of nonlinearities. This study helps towards finding an answer to 2 some of the key remaining questions in the literature, namely: How far and wide do the productivity effects of spatial agglomeration spread and how quickly do they attenuate over space? Are there significant discontinuities in these effects within the urban hierarchy?Previous studies have investigated how agglomeration economies attenuate over space by using accessibility type measures such as market potential, economic mass, and effective density. These measures can be described as a distance weighted sum of opportunities (e.g. employment, population) between pairs of locations and have been used to incorporate the notion of distance decay into the measurement of agglomeration economies. They improve on the more conventional measures based on population and employment densities by providing a better representation of spatial proximity.However, the majority of these studies measure accessibility in terms of physical distance and hence cannot account for the role of (changes in) transport networks on improved connectivity and the subsequent positive effect on productivity. To our knowledge, Lall et al. (2004), Rice et al. (2006), Graham (2007), Holl (2012 and Le Néchet et al. (2012) are the only studies using accessibility type measures based on travel times derived from actual road networks. These studies, however, generally assume a constant rate of decline in agglomeration effects with increased distance/travel time. Only a few studies allow for varying rates of decay with increased distance and overall they suggest a steep decay of agglomeration effects, although they can extend as far as the boundaries of labour markets (e.g. Rice et al