Artikel
Analysis of China's real estate prices and macroeconomy based on evolutionary co-spectral method
Purpose: This paper investigates the dynamic interaction between the real estate market and the macroeconomic environment of China by use of dynamic coherence function based on co-spectral analysis. Design/methodology/approach: Through a theoretical perspective, the dynamic interrelationship among economic variables at different time intervals (both long and short terms) is analyzed. Findings: The empirical results show that China's real estate market features a high coherence with the change of the long-term interest rate, employment rate and money supply, while there is a moderate coherence between the real estate market and the inflation rate and economic growth rate, and the coherence between the short-term rate of interest and the real estate market is the lowest. Research implications: Previous researches have some shortcomings. They do not consider the dependence between nonlinear series, but the latter is crucial to avoid the deviation of results. In this paper, we proposed a new method of experience to overcome these shortcomings. Originality/value: The paper provides a reasonable explanation accordingly to different coherences between the real estate market and the macroeconomic variables.
- Language
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Englisch
- Bibliographic citation
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Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 8 ; Year: 2015 ; Issue: 2 ; Pages: 598-614 ; Barcelona: OmniaScience
- Classification
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Management
- Subject
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real estate
macroeconomy
dynamic coherence function
monetary policy
- Event
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Geistige Schöpfung
- (who)
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Li, Juan
Chen, Xuemin
- Event
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Veröffentlichung
- (who)
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OmniaScience
- (where)
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Barcelona
- (when)
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2015
- DOI
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doi:10.3926/jiem.1419
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Li, Juan
- Chen, Xuemin
- OmniaScience
Time of origin
- 2015