Urbanization and the excess mortgage risk – an optimal mortgage model

This study investigates the optimal mortgage level and examines the impact of urbanization on the risk of excessive mortgage loan in China’s housing markets. We propose a new model to theoretically derive and measure both the optimal mortgage level and the degree of urbanization across different regions of China. The paper tests two hypotheses: first, whether urbanization directly increases the risk of excess mortgages, and second, whether urbanization indirectly contributes to this risk through its effect on housing prices. Using a fixed-effects model for panel data analysis, the generalized method of moments (GMM), and monthly data from 25 regional provinces in China spanning from 2007 to 2019, our results provide strong evidence in support of these hypotheses. The impact of urbanization varies across regions, suggesting that distinct policy interventions may be needed for different regional housing markets.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-12-24
DOI
https://doi.org/10.1057/s41599-024-04277-7
Citations
1
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
1.13

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article

Urbanization and the excess mortgage risk – an optimal mortgage model

Heeho Kim, Hongxia Zhang
1 citations
Humanities and Social Sciences Communications
Housing Market and Economics
1.13
article

Urbanization and the excess mortgage risk – an optimal mortgage model

Heeho Kim, Hongxia Zhang
article en
1 citations

Abstract

This study investigates the optimal mortgage level and examines the impact of urbanization on the risk of excessive mortgage loan in China’s housing markets. We propose a new model to theoretically derive and measure both the optimal mortgage level and the degree of urbanization across different regions of China. The paper tests two hypotheses: first, whether urbanization directly increases the risk of excess mortgages, and second, whether urbanization indirectly contributes to this risk through its effect on housing prices. Using a fixed-effects model for panel data analysis, the generalized method of moments (GMM), and monthly data from 25 regional provinces in China spanning from 2007 to 2019, our results provide strong evidence in support of these hypotheses. The impact of urbanization varies across regions, suggesting that distinct policy interventions may be needed for different regional housing markets.

Humanities and Social Sciences CommunicationsVol. 11(1)
Shandong Normal University (CN), Kyungpook National University (KR)
National Social Science Fund of China
Sustainable cities and communities
Openalex Percentile: Top 10%
Housing Market and Economics
1.13
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Urbanization and the excess mortgage risk – an optimal mortgage model — Heeho Kim, Hongxia Zhang · Humanities and Social Sciences Communications (2024) | TGRS Research Map | TGRS