EconPapers    
Economics at your fingertips  
 

Regional heterogeneity and the trans-regional interaction of housing prices and inflation: Evidence from China’s 35 major cities

Huayi Yu and Yanfen Huang
Additional contact information
Huayi Yu: Renmin University of China, China
Yanfen Huang: Renmin University of China, China

Urban Studies, 2016, vol. 53, issue 16, 3472-3492

Abstract: This paper proposes a theoretical framework to analyse the regionally heterogeneous responses of housing prices and inflation to the monetary aggregates shock and the trans-regional interaction of housing prices and inflation, which has seldom been discussed in previous literature. Using a GVAR (Globe Vector Autoregression) model, evidence based on China’s 35 major cities for this framework is provided. The results show that (1) the housing price shocks have weak positive influence on CPIs (consumer price index); (2) the housing price shocks, especially the shocks in first-tier cities and eastern cities, have strong positive influence on domestic housing price dynamics and housing prices of other cities; (3) monetary aggregates shock has strong influence on the housing prices of first-tier cities and eastern cities, while weak influence on that of central and western cities. CPIs are barely influenced by monetary aggregates shocks. The empirical results are in accordance with the theoretical explanation. Based on empirical results, this paper proposes policy recommendations for stabilising housing prices.

Keywords: GVAR model; housing prices; inflation; monetary aggregates; regional heterogeneity (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0042098015617882 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:53:y:2016:i:16:p:3472-3492

DOI: 10.1177/0042098015617882

Access Statistics for this article

More articles in Urban Studies from Urban Studies Journal Limited
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-20
Handle: RePEc:sae:urbstu:v:53:y:2016:i:16:p:3472-3492