IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0242778.html
   My bibliography  Save this article

Socio-economic urban scaling properties: Influence of regional geographic heterogeneities in Brazil

Author

Listed:
  • Caio Porto de Castro
  • Gervásio Ferreira dos Santos
  • Anderson Dias de Freitas
  • Maria Isabel dos Santos
  • Roberto Fernandes Silva Andrade
  • Maurício Lima Barreto

Abstract

The recent efforts dedicated to understanding important features and consequences of city growth have profited from the scaling approach to urban indicators. This kind of analysis can be conveniently used to investigate the impact of geo-economic transformations, like fast urbanization and industrial development, which occurred in continental size countries (e.g., India, China, and Brazil) during the past half-century. Profiting from high quality data, this work explores how scaling relationships among urban indicators are influenced by strong regional heterogeneities in Brazil. It is based on economic, infrastructure and violence related data sets for the time interval 2002-2016. Results indicate that regional specificities related to infrastructure, economic development, and geography have a larger influence on the absolute value of the urban indexes. Regional scaling similarities and differences among Brazilian regions were also uncovered. Interesting enough, the results indicate that the richest and poorest Brazilian regions share similar scaling behavior, despite all huge different local influences. By contrast, the results for the two richest regions, with similar average values of urban indexes and the same kind of local influences have rather different scaling properties. Thus, scaling analysis suggests that distinct political solutions might be necessary to improve life’s quality, even for two regions with similar average values of urban indicators.

Suggested Citation

  • Caio Porto de Castro & Gervásio Ferreira dos Santos & Anderson Dias de Freitas & Maria Isabel dos Santos & Roberto Fernandes Silva Andrade & Maurício Lima Barreto, 2020. "Socio-economic urban scaling properties: Influence of regional geographic heterogeneities in Brazil," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-17, December.
    • Handle: RePEc:plo:pone00:0242778
    DOI: 10.1371/journal.pone.0242778
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242778
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0242778&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0242778?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Luis Bettencourt & Geoffrey West, 2010. "A unified theory of urban living," Nature, Nature, vol. 467(7318), pages 912-913, October.
    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. Andres Gomez-Lievano & HyeJin Youn & Luís M A Bettencourt, 2012. "The Statistics of Urban Scaling and Their Connection to Zipf’s Law," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yanlin Zhen & Dehao Shi & Yanan Lu, 2023. "The Impact of Regional Integration Strategies on the Formation of City Regions and Its Agglomeration Shadow: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 12(5), pages 1-16, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yusra Ghafoor & Yi-Shin Chen & Kuan-Ta Chen, 2019. "Social Interaction Scaling for Contact Networks," Sustainability, MDPI, vol. 11(9), pages 1-14, May.
    2. Luiz G A Alves & Renio S Mendes & Ervin K Lenzi & Haroldo V Ribeiro, 2015. "Scale-Adjusted Metrics for Predicting the Evolution of Urban Indicators and Quantifying the Performance of Cities," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-17, September.
    3. Luiz G A Alves & Haroldo V Ribeiro & Ervin K Lenzi & Renio S Mendes, 2013. "Distance to the Scaling Law: A Useful Approach for Unveiling Relationships between Crime and Urban Metrics," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.
    4. Cardoso, M. & Souza, J.T.G. & Neli, R.R. & Souza, W.E., 2023. "Scaling laws from Brazilian state election results point out that, the candidate’s chance to win increases by investing more campaign efforts in smaller electorates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    5. Alves, L.G.A. & Ribeiro, H.V. & Lenzi, E.K. & Mendes, R.S., 2014. "Empirical analysis on the connection between power-law distributions and allometries for urban indicators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 409(C), pages 175-182.
    6. Huang, Siyu & Shi, Yi & Chen, Qinghua & Li, Xiaomeng, 2022. "The growth path of high-tech industries: Statistical laws and evolution demands," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    7. Daan Francois Toerien, 2022. "Linking Entrepreneurial Activities and Community Prosperity/Poverty in United States Counties: Use of the Enterprise Dependency Index," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    8. Brinkley, Catherine & Raj, Subhashni, 2022. "Perfusion and urban thickness: The shape of cities," Land Use Policy, Elsevier, vol. 115(C).
    9. Yves Bettignies & Joao Meirelles & Gabriela Fernandez & Franziska Meinherz & Paul Hoekman & Philippe Bouillard & Aristide Athanassiadis, 2019. "The Scale-Dependent Behaviour of Cities: A Cross-Cities Multiscale Driver Analysis of Urban Energy Use," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    10. Qingsong He & Lingping Huang & Jing Li, 2022. "Rediscovering the Scaling Law of Urban Land from a Multi-Scale Perspective—A Case Study of Wuhan," Land, MDPI, vol. 11(6), pages 1-15, June.
    11. Christian Düben & Melanie Krause, 2021. "Population, light, and the size distribution of cities," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 189-211, January.
    12. Hadi Arbabi & Martin Mayfield & Philip McCann, 2020. "Productivity, infrastructure and urban density—an allometric comparison of three European city regions across scales," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 211-228, January.
    13. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    14. Bogusław Wowrzeczka, 2021. "City of Waste—Importance of Scale," Sustainability, MDPI, vol. 13(7), pages 1-14, April.
    15. Michail Fragkias & José Lobo & Deborah Strumsky & Karen C Seto, 2013. "Does Size Matter? Scaling of CO2 Emissions and U.S. Urban Areas," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-8, June.
    16. 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.
    17. Danie Francois Toerien, 2022. "Temporal and Geographic Stress Testing of Entrepreneurial Proportionalities in United States Counties," World, MDPI, vol. 3(3), pages 1-31, July.
    18. Wenhan Feng & Bayi Li & Zebin Chen & Peng Liu, 2021. "City size based scaling of the urban internal nodes layout," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-16, April.
    19. Diana Reckien & Johannes Flacke & Marta Olazabal & Oliver Heidrich, 2015. "The Influence of Drivers and Barriers on Urban Adaptation and Mitigation Plans—An Empirical Analysis of European Cities," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    20. David Levinson, 2012. "Network Structure and City Size," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-11, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0242778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.