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Spatial Analysis of Chinese City-Level Housing Prices in Response to Macroeconomic Changes

Author

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  • Zhenyu Su
  • Paloma Taltavull de La Paz

Abstract

This research aims to conduct a spatial analysis of Chinese city-level housing prices in response to macroeconomic fluctuations. By employing advanced spatial analysis techniques, we will examine how macroeconomic indicators, such as GDP growth, inflation, interest rates, and employment levels, correlate with spatial patterns of housing prices across different cities in China. Through the utilization of geospatial data and econometric modeling, we seek to identify spatial clusters, hotspots, and coldspots of housing price changes in relation to macroeconomic shifts. Additionally, the study will explore the spatial heterogeneity of the housing market responses to macroeconomic changes, shedding light on regional disparities and variations in housing price dynamics. The findings of this research will provide valuable insights into the spatial relationships between macroeconomic conditions and housing prices in Chinese cities, offering implications for policymakers, real estate developers, and investors seeking to understand the nuanced dynamics of the housing market in response to macroeconomic shifts.

Suggested Citation

  • Zhenyu Su & Paloma Taltavull de La Paz, 2024. "Spatial Analysis of Chinese City-Level Housing Prices in Response to Macroeconomic Changes," ERES eres2024-108, European Real Estate Society (ERES).
    • Handle: RePEc:arz:wpaper:eres2024-108
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    More about this item

    Keywords

    China; Housing Prices; macroeconomic indicators; spatial analysis;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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