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. 2016 Aug 23;11(8):e0159465.
doi: 10.1371/journal.pone.0159465. eCollection 2016.

Rich and Poor Cities in Europe. An Urban Scaling Approach to Mapping the European Economic Transition

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Rich and Poor Cities in Europe. An Urban Scaling Approach to Mapping the European Economic Transition

Emanuele Strano et al. PLoS One. .

Abstract

Recent advances in the urban science make broad use of the notion of scaling. We focus here on the important scaling relationship between the gross metropolitan product (GMP) of a city and its population (pop). It has been demonstrated that GMP ∝ Y Ypopβ with β always greater than 1 and close to 1.2. This fundamental finding highlights a universal rule that holds across countries and cultures and might explain the very nature of cities. However, in an increasingly connected world, the hypothesis that the economy of a city solely depends on its population might be questionable. Using data for 248 cities in the European Union between 2005 and 2010, we found a double GMP/pop scaling regime. For West EU cities, β = 1 over the whole the period, while for post-communist cities β > 1 and increases from ∼1.2 to ∼1.4. The evolution of the scaling exponent describes the convergence of post-communist European cities to open and liberal economies. We propose a simple model of economic convergence in which, under stable political conditions, a linear GMP/pop scaling is expected for all cities. The results suggest that the GMP/pop super-linear scaling represents a phase of economic growth rather than a steady, universal urban feature. The results also suggest that relationships between cities are embedded in their political and economic context and cannot be neglected in explanations of cities, urbanization and urban economics.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. GMP/pop scaling in Europe between 2005 and 2010.
a) Histogram of the per capita GMP of the 248 cities. The double bell indicating two classes of economies is evident. We called these low-income (filled blue) and high-income (empty purple) groups. Using the same colour code, b) shows the GMP/pop scaling for low- and high-income cities from 2005 to 2010. High-income cities have a stable linear exponent β = 1.03 ± 0.05 over the entire period. Low-income cities show super-linear scaling with an increasing trend from β = 1.25 ± 0.25 in 2005 to β = 1.42 ± 0.20 in 2010. c) Shows GMP/pop in 2010 for the Eastern Bloc (bottom panel) and the Western Bloc (upper panel). It is possible to observe that no cities with low incomes are in the Western Bloc, while few cities with high incomes are in the Eastern Bloc.

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