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December 12, 2025MathematicsOpen Access

Nonlinear and Spatial Effects of Housing Prices on Urban–Rural Income Inequality: Evidence from Dynamic Spatial Threshold Models in Mainland China

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Authors

MLMingyang LiWYWoraphon YamakaPMParavee Maneejuk

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Overview

Dynamic spatial analysis reveals housing prices increase income disparities in rural areas, suggesting housing policy adjustments for inclusive growth.

Key Points

  • This research examines the relationship between housing prices and urban-rural income inequality in mainland China.
  • Analyzed a balanced panel of 31 provinces from 2005 to 2023.
  • Developed a dynamic spatial panel threshold model to account for temporal persistence and spatial spillovers.
  • Decomposed housing price effects into direct, indirect, and total impacts across different market regimes.
  • Identified strong temporal persistence in urban-rural income disparities.
  • Found that rising housing prices significantly widen the income gap between urban and rural areas.
  • Established a critical housing price threshold indicating stronger inequality effects in low-price regions.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/6940190c2d562116f28f6447https://doi.org/10.3390/math13243960
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Also Consider

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  1. 1Human capital agglomeration, urbanisation and housing prices in China: evidence from quantile regression2026
  2. 2Spatially Optimized Multi-Level Modeling of Housing Price Differentiation and Resource Allocation Strategies2026
  3. 3Multidimensional Urbanization and Housing Price Changes: Evidence from 35 Large- and Medium-Sized Cities in China2025
  4. 4How rising housing prices affect labor costs in China: Heterogeneity and lagging2024 · 2 citations
  5. 5The Effect of Economic Growth Target Pressure on the Urban–Rural Income Gap in China: The Mediating Role of Urban Spatial Structure2026