The influence of administrative border on the spatial correlation of house prices: evidence from China

This paper empirically examines the spatial correlation differences and mechanisms of housing prices in prefecture-level cities, considering the influence of administrative boundaries. Using an extended spatial Durbin model and panel data from 292 prefecture-level cities in China between 2000 and 2013, the study identifies the attributes and stage characteristics of real estate. The results indicate a significant spatial correlation in housing prices between neighboring prefecture-level cities, with inter-provincial administrative boundaries reducing the spatial correlation between these cities by 62.11%. Further research reveals significant changes in the spatial correlation of housing prices following the 2007 subprime mortgage crisis, with the transformation of real estate’s dominant attributes being the primary reason for these changes.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-02-24
DOI
https://doi.org/10.1057/s41599-025-04463-1
Primary Topic
Housing Market and Economics
Type
article
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article

The influence of administrative border on the spatial correlation of house prices: evidence from China

He Wang, Shujun Yang
Humanities and Social Sciences Communications
Housing Market and Economics
article

The influence of administrative border on the spatial correlation of house prices: evidence from China

He Wang, Shujun Yang
article en

Abstract

This paper empirically examines the spatial correlation differences and mechanisms of housing prices in prefecture-level cities, considering the influence of administrative boundaries. Using an extended spatial Durbin model and panel data from 292 prefecture-level cities in China between 2000 and 2013, the study identifies the attributes and stage characteristics of real estate. The results indicate a significant spatial correlation in housing prices between neighboring prefecture-level cities, with inter-provincial administrative boundaries reducing the spatial correlation between these cities by 62.11%. Further research reveals significant changes in the spatial correlation of housing prices following the 2007 subprime mortgage crisis, with the transformation of real estate’s dominant attributes being the primary reason for these changes.

Humanities and Social Sciences CommunicationsVol. 12(1)
Hunan University of Science and Technology (CN)
Openalex Percentile: Top 95%
Housing Market and Economics
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