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City Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population

Author

Listed:
  • Kyung-Min Nam
  • John M. Reilly
Abstract
This study introduces a new method of downscaling global population distribution. Its novelty is that it allows city size distributions to interact with socioeconomic variables. The contribution to the literature is twofold. One is a challenge to the conventional view that the proportionate growth dynamics underlies empirical rank–size regularities. It is shown that the city size distribution of a region can deviate substantially from a log-normal distribution with cross-regional and time variations, and that such variations can be explained by certain socioeconomic conditions that each region confronts at a particular time point. In addition, this study can pave the way for various research projects which need spatial distribution of global population at fine grid cell levels as key input. The model is applicable to the entire globe, including regions for which reliable sub-regional population datasets are limitedly available, and can be extended easily for predictive analysis.

Suggested Citation

  • Kyung-Min Nam & John M. Reilly, 2013. "City Size Distribution as a Function of Socioeconomic Conditions: An Eclectic Approach to Downscaling Global Population," Urban Studies, Urban Studies Journal Limited, vol. 50(1), pages 208-225, January.
  • Handle: RePEc:sae:urbstu:v:50:y:2013:i:1:p:208-225
    DOI: 10.1177/0042098012448943
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    References listed on IDEAS

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    5. Kyung-Min Nam & Xu Zhang & Min Zhong & Eri Saikawa & Xiliang Zhang, 2019. "Health effects of ozone and particulate matter pollution in China: a province-level CGE analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(2), pages 269-293, October.
    6. Bozhechkova Alexandra & Trunin Pavel & Sinelnikova-Muryleva Elena & Petrova Diana & Chentsov Alexander, 2018. "Building of monetary and currency markets models," Research Paper Series, Gaidar Institute for Economic Policy, issue 175P, pages 1-96.
    7. Kyung-Min Nam, 2017. "Is spatial distribution of China’s population excessively unequal? A cross-country comparison," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 453-474, September.
    8. Daisuke Murakami & Yoshiki Yamagata, 2019. "Estimation of Gridded Population and GDP Scenarios with Spatially Explicit Statistical Downscaling," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
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