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

Author

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  • Emanuele Strano
  • Vishal Sood

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.

Suggested Citation

  • Emanuele Strano & Vishal Sood, 2016. "Rich and Poor Cities in Europe. An Urban Scaling Approach to Mapping the European Economic Transition," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-8, August.
  • Handle: RePEc:plo:pone00:0159465
    DOI: 10.1371/journal.pone.0159465
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    References listed on IDEAS

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    Cited by:

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    2. Joao Meirelles & Fabiano L. Ribeiro & Gabriel Cury & Claudia R. Binder & Vinicius M. Netto, 2021. "More from Less? Environmental Rebound Effects of City Size," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    3. Joao Meirelles & Camilo Rodrigues Neto & Fernando Fagundes Ferreira & Fabiano Lemes Ribeiro & Claudia Rebeca Binder, 2018. "Evolution of urban scaling: Evidence from Brazil," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
    4. Haohui 'Caron' Chen & Xun Li & Morgan Frank & Xiaozhen Qin & Weipan Xu & Manuel Cebrian & Iyad Rahwan, 2019. "Automation Impacts on China's Polarized Job Market," Papers 1908.05518, arXiv.org.
    5. Haohui Caron Chen & Xun Li & Morgan Frank & Xiaozhen Qin & Weipan Xu & Manuel Cebrian & Iyad Rahwan, 2022. "Automation impacts on China’s polarized job market," Journal of Computational Social Science, Springer, vol. 5(1), pages 517-535, May.
    6. Jacob Dibble & Alexios Prelorendjos & Ombretta Romice & Mattia Zanella & Emanuele Strano & Mark Pagel & Sergio Porta, 2019. "On the origin of spaces: Morphometric foundations of urban form evolution," Environment and Planning B, , vol. 46(4), pages 707-730, May.
    7. Chenchen Shi & Naliang Guo & Xiaoping Zhu & Feng Wu, 2022. "Assessing Urban Resilience from the Perspective of Scaling Law: Evidence from Chinese Cities," Land, MDPI, vol. 11(10), pages 1-23, October.
    8. Krzysztof Cebrat & Maciej Sobczyński, 2016. "Scaling Laws in City Growth: Setting Limitations with Self-Organizing Maps," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-11, December.
    9. Anthony FJ van Raan, 2024. "Simulating urban scaling with a term linkages network of a university," Environment and Planning B, , vol. 51(9), pages 2092-2107, November.
    10. repec:plo:pone00:0218022 is not listed on IDEAS
    11. Yusra Ghafoor & Yi-Shin Chen & Kuan-Ta Chen, 2019. "Social Interaction Scaling for Contact Networks," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
    12. Luca S. D’Acci, 2026. "The allometry of housing prices in urban scaling laws and an equalised dwellers’ utility across settlement sizes," Environment and Planning B, , vol. 53(3), pages 626-646, March.
    13. Xu, Gang & Xu, Zhibang & Gu, Yanyan & Lei, Weiqian & Pan, Yupiao & Liu, Jie & Jiao, Limin, 2020. "Scaling laws in intra-urban systems and over time at the district level in Shanghai, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    14. Weiqian Lei & Limin Jiao & Gang Xu & Zhengzi Zhou, 2022. "Urban scaling in rapidly urbanising China," Urban Studies, Urban Studies Journal Limited, vol. 59(9), pages 1889-1908, July.
    15. Linzhuo Li & Nannan Zhao, 2023. "Understanding urban concentration of complex manufacturing activities in China," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-15, March.

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