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Population, light, and the size distribution of cities

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  • Christian Duben

    (Hamburg University)

  • Melanie Krause

    (Hamburg University)

Abstract

We provide new insights on the city size distribution of countries around the world. Using geo-spatial data and a globally consistent city identification scheme, our data set contains 13,844 cities in 194 countries. City size is measured both in terms of population and night time lights proxying for local economic activity. We find that Zipf's law holds for many, but not all, countries in terms of population, while city size in terms of light is distributed more unequally. These deviations from Zipf's law are to a large extent driven by an undue concentration in the largest cities. They benefit from agglomeration effects which seem to work through scale rather than through density. Examining the cross-country heterogeneity in the city size distribution, our model selection approach suggests that historical factors play an important role, in line with the time of development hypothesis.

Suggested Citation

  • Christian Duben & Melanie Krause, 2019. "Population, light, and the size distribution of cities," Working Papers 488, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2019-488
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    File URL: http://www.ecineq.org/milano/WP/ECINEQ2019-488.pdf
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    Cited by:

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    3. John Gibson & Susan Olivia & Geua Boe‐Gibson, 2020. "Night Lights In Economics: Sources And Uses," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 955-980, December.
    4. Yating Ru & Beliyou Haile & John I. Carruthers, 2022. "Urbanization and child growth failure in Sub-Saharan Africa: a geographical analysis," Journal of Geographical Systems, Springer, vol. 24(3), pages 441-473, July.
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    6. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).

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    More about this item

    Keywords

    Cities; Zipf's Law; Urban Concentration; Geo-spatial Data.;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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