Does GDP Drive Urban Well-Being? Evidence from China’s Urban Physical Examination Survey

The relationship between economic development and residents’ perceived urban well-being remains an important question in urban research. This study examines whether the relationship between GDP and city-level satisfaction exhibits non-linear patterns or plateau effects. Using the 2024 nationwide Urban Physical Examination (UPE) resident survey in China, this study assesses how city economic level relates to perceived urban well-being, proxied by city-level overall satisfaction. The survey was conducted in April–June 2024 in the main urban districts of 47 cities, using 499,500 valid questionnaires. We aggregate satisfaction to the city level, match it with GDP and key city characteristics, and estimate the GDP–satisfaction association using restricted cubic splines (RCS) to test for potential non-linearity. Across unadjusted and covariate-adjusted models (accounting for population scale and density, industrial structure, fiscal capacity, and regional effects), results show a robust positive association between economic level and satisfaction, while nested-model tests provide no evidence that spline terms improve fit over a linear specification within the observed GDP range. Substantial dispersion around the fitted curve indicates that GDP is an enabling capacity rather than a sufficient condition, pointing to cross-city differences in how effectively resources are converted into lived urban quality. We propose using GDP-adjusted satisfaction benchmarking within the UPE cycle to identify underperforming cities and prioritize targeted governance and renewal actions.

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Publication Details

Journal
ISPRS International Journal of Geo-Information
Published
2026-03-23
DOI
https://doi.org/10.3390/ijgi15030138
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
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article

Does GDP Drive Urban Well-Being? Evidence from China’s Urban Physical Examination Survey

Jincheng Cai, Ju He
ISPRS International Journal of Geo-Information
Psychological Well-being and Life Satisfaction
article

Does GDP Drive Urban Well-Being? Evidence from China’s Urban Physical Examination Survey

Jincheng Cai, Ju He
article en

Abstract

The relationship between economic development and residents’ perceived urban well-being remains an important question in urban research. This study examines whether the relationship between GDP and city-level satisfaction exhibits non-linear patterns or plateau effects. Using the 2024 nationwide Urban Physical Examination (UPE) resident survey in China, this study assesses how city economic level relates to perceived urban well-being, proxied by city-level overall satisfaction. The survey was conducted in April–June 2024 in the main urban districts of 47 cities, using 499,500 valid questionnaires. We aggregate satisfaction to the city level, match it with GDP and key city characteristics, and estimate the GDP–satisfaction association using restricted cubic splines (RCS) to test for potential non-linearity. Across unadjusted and covariate-adjusted models (accounting for population scale and density, industrial structure, fiscal capacity, and regional effects), results show a robust positive association between economic level and satisfaction, while nested-model tests provide no evidence that spline terms improve fit over a linear specification within the observed GDP range. Substantial dispersion around the fitted curve indicates that GDP is an enabling capacity rather than a sufficient condition, pointing to cross-city differences in how effectively resources are converted into lived urban quality. We propose using GDP-adjusted satisfaction benchmarking within the UPE cycle to identify underperforming cities and prioritize targeted governance and renewal actions.

ISPRS International Journal of Geo-InformationVol. 15(3)
Yangzhou University (CN)
Openalex Percentile: Top 18%
Psychological Well-being and Life Satisfaction
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Does GDP Drive Urban Well-Being? Evidence from China’s Urban Physical Examination Survey — Jincheng Cai, Ju He · ISPRS International Journal of Geo-Information (2026) | TGRS Research Map | TGRS