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Analyzing the Dynamical Factors of Housing Price in China

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  • Weiping Huang

Abstract

This study tries to explore the main dynamical factors on housing price in China based on various parameters and housing price models. Such parameters covers in this study are GDP, average housing area per person, average house price per meter square, Engel coefficient, etc. A number of data from a number of government departments, research organization and other resources (China Statistics Bureau, Statistical Commission, ¡°Annual Statistical Report of China¡±, ¡°Annual Statistical Report of Chinese Cities¡±, ¡°Annual Report of Chinese Cities¡±, ¡°Annual Statistical Report of Real Estate in China) for establishing benchmarks. The major contribution of this study is to reveal an empirical analysis of the dynamical factors of housing price in China. It also can provide the high reference value for social and economic fields in China.

Suggested Citation

  • Weiping Huang, 2014. "Analyzing the Dynamical Factors of Housing Price in China," Research in World Economy, Research in World Economy, Sciedu Press, vol. 5(1), pages 59-64, March.
    • Handle: RePEc:jfr:rwe111:v:5:y:2014:i:1:p:59-64
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    References listed on IDEAS

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    Cited by:

    1. Rickman, Dan S. & Wang, Hongbo, 2016. "Regional Housing Supply Elasticity in China 1999-2013: A Spatial Equilibrium Analysis," MPRA Paper 69157, University Library of Munich, Germany.
    2. Chen, Hongyan & Liu, Qingfang & Zheng, Longfei & Zhang, Xuebo, 2025. "Effect of the Housing Provident Fund on urban housing prices in China: A dual perspective of spatial heterogeneity and nonlinear linkages," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 517-532.
    3. Hongbo Wang & Dan Rickman, 2020. "Housing Price and Population Growth across China: The Role of Housing Supply," International Regional Science Review, , vol. 43(3), pages 203-228, May.

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