The determinants of national city size distributions: A BMA approach

This paper investigates the factors that influence the national distribution of city sizes, using data from both gridded population estimates and nighttime lights. Leveraging a global definition of human settlements, it also accounts for spatial units smaller than traditional urban centers. To address model uncertainty in identifying robust determinants of cross-country variation in urban concentration, the analysis employs Bayesian model averaging techniques. Across different samples, openness to trade, the Polity score, and natural resource dependence consistently show posterior inclusion probabilities of approximately 50 % or higher. The findings highlight the potential roles of international trade and institutional quality in fostering more balanced national urban systems. • City size distribution determinants analyzed using global cross-country data. • City sizes estimated with both population and nighttime lights data. • Smaller settlements, not just major urban centers, are included in the analysis. • Bayesian model averaging used to identify robust city size distribution drivers. • Trade and institutional quality linked to more balanced urban systems.

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Publication Details

Journal
Cities
Published
2025-06-27
DOI
https://doi.org/10.1016/j.cities.2025.106184
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

The determinants of national city size distributions: A BMA approach

Marcos Sanso‐Navarro, María Vera‐Cabello, Miguel Puente‐Ajovín
Cities
Regional Economics and Spatial Analysis
article

The determinants of national city size distributions: A BMA approach

Marcos Sanso‐Navarro, María Vera‐Cabello, Miguel Puente‐Ajovín
article en

Abstract

This paper investigates the factors that influence the national distribution of city sizes, using data from both gridded population estimates and nighttime lights. Leveraging a global definition of human settlements, it also accounts for spatial units smaller than traditional urban centers. To address model uncertainty in identifying robust determinants of cross-country variation in urban concentration, the analysis employs Bayesian model averaging techniques. Across different samples, openness to trade, the Polity score, and natural resource dependence consistently show posterior inclusion probabilities of approximately 50 % or higher. The findings highlight the potential roles of international trade and institutional quality in fostering more balanced national urban systems. • City size distribution determinants analyzed using global cross-country data. • City sizes estimated with both population and nighttime lights data. • Smaller settlements, not just major urban centers, are included in the analysis. • Bayesian model averaging used to identify robust city size distribution drivers. • Trade and institutional quality linked to more balanced urban systems.

CitiesVol. 166
Universidad de Zaragoza (ES), Centro Universitario de la Defensa en San Javier (ES), Institut d'Anàlisi Econòmica (ES)
Ministerio de Ciencia e Innovación, Gobierno de Aragón, Agencia Estatal de Investigación
Sustainable cities and communities
Openalex Percentile: Top 78%
Regional Economics and Spatial Analysis
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The determinants of national city size distributions: A BMA approach — Marcos Sanso‐Navarro, María Vera‐Cabello, et al. · Cities (2025) | TGRS Research Map | TGRS