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Urban Scaling of Cities in the Netherlands

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  • Anthony F J van Raan
  • Gerwin van der Meulen
  • Willem Goedhart

Abstract

We investigated the socioeconomic scaling behavior of all cities with more than 50,000 inhabitants in the Netherlands and found significant superlinear scaling of the gross urban product with population size. Of these cities, 22 major cities have urban agglomerations and urban areas defined by the Netherlands Central Bureau of Statistics. For these major cities we investigated the superlinear scaling for three separate modalities: the cities defined as municipalities, their urban agglomerations and their urban areas. We find superlinearity with power-law exponents of around 1.15. But remarkably, both types of agglomerations underperform if we compare for the same size of population an agglomeration with a city as a municipality. In other words, an urban system as one formal municipality performs better as compared to an urban agglomeration with the same population size. This effect is larger for the second type of agglomerations, the urban areas. We think this finding has important implications for urban policy, in particular municipal reorganizations. A residual analysis suggests that cities with a municipal reorganization recently and in the past decades have a higher probability to perform better than cities without municipal restructuring.

Suggested Citation

  • Anthony F J van Raan & Gerwin van der Meulen & Willem Goedhart, 2016. "Urban Scaling of Cities in the Netherlands," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-16, January.
  • Handle: RePEc:plo:pone00:0146775
    DOI: 10.1371/journal.pone.0146775
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    References listed on IDEAS

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    1. Bettencourt, Luis M.A. & Lobo, Jose & Strumsky, Deborah, 2007. "Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size," Research Policy, Elsevier, vol. 36(1), pages 107-120, February.
    2. José Lobo & Luís M A Bettencourt & Deborah Strumsky & Geoffrey B West, 2013. "Urban Scaling and the Production Function for Cities," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    3. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    4. Önder Nomaler & Koen Frenken & Gaston Heimeriks, 2014. "On Scaling of Scientific Knowledge Production in U.S. Metropolitan Areas," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-6, October.
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    3. Alexey F. Pasynkov, 2020. "Compilation of regional financial balances for the 'General Governance' sector in the Ural Federal District," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(4), pages 251-260.
    4. Lu Zhang & Xuehan Lin & Bingkui Qiu & Maomao Zhang & Qingsong He, 2022. "The Industrial Sprawl in China from 2010 to 2019: A Multi-Level Spatial Analysis Based on Urban Scaling Law," IJERPH, MDPI, vol. 19(23), pages 1-14, December.
    5. 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.
    6. 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.
    7. 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).
    8. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).

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