Contrasts in agglomeration: proto-industrial, industrial and post-industrial forms compared

By Nicholas A. Phelps, T. Ozawa. 2003

217 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Urban Studies

View Paper: https://www.semanticscholar.org/paper/fcf308a5377a79fd57c6de0b7d966ceea7e3780a

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Citations in the corpus

An analysis of urban size and territorial location effects on employment probabilities: the spanish case (2009, background): “The agglomeration economies are usually divided into two sorts, although this classification in constantly being refined (see Phelps and Ozawa, 2003).”
A Network-based view of regional growth (2014, background): “In particular, geographic clustering and industrial agglomeration theory is increasingly encompassing more diffuse forms of agglomeration, especially with regard to the type and geographic scale at which external economies become manifest, and the extent to which these are shared across regions and ”
Megalopolis unbound: Knowledge collaboration and functional polycentricity within and beyond the Yangtze River Delta Region in China, 2014 (2018, background): “This last aspect also leads on to questions regarding the agglomeration economies generated by the functional polycentricity of urban networks – questions raised by Phelps and Ozawa (2003) and Burger et al. (2014).”
On the Economic Foundation of the Urban Network Paradigm: Spatial Integration, Functional Integration and Economic Complementarities within the Dutch Randstad (2009, background): “…suggested that interfirm business flows largely remain within or between urban cores (Pred, 1973, 1977), although space-consuming economic activities—like industrial and distribution activities—are hypothesised to develop radially out of the city centre (Smith, 1971; Phelps and Ozawa, 2003).”
How did urban polycentricity and dispersion affect economic productivity? A case study of 306 Chinese cities (2018, background): “More specifically, it is argued that polycentricity could improve urban productivity at least by reducing transaction costs within cities such as traffic congestion (Sun, Tu, Shi, & Guo, 2013; Zhang et al., 2017) and by “borrowing” size among urban (sub)centers (Phelps & Ozawa, 2003).”
Evolutionary agglomeration theory: increasing returns, diminishing returns, and the industry life cycle (2011, background): “Furthermore, it may be the case that during the later stages of the Agglomeration Life Cycle (ALC) Model the types of skills demanded by the industry change as a result of knowledge codification, product standardization, capital intensive production, vertical integration, and disruptive innovations,”
Building global knowledge pipelines: The role of temporary clusters (2006, background): “An example is, for instance, the study of Phelps and Ozawa (2003) who attempt to place clusters in a stage-theoretical setting.”
Temporary Clusters and Knowledge Creation: The Effects of International Trade Fairs, Conventions and Other Professional Gatherings (2004, background): “Exceptions do, however, exist, especially when attempting to place clusters in some stage-theoretical setting (e.g. Phelps and Ozawa 2003).”