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Heterogeneous convergence of regional house prices and the complexity in China

Author

Listed:
  • Rui Lin

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China)

  • Xin Zhang

    (School of Economics and Management, University of Chinese Academy of Sciences,Beijing, China)

  • Xiuting Li

    (School of Economics and Management, University of Chinese Academy of Sciences,Beijing, China)

  • Jichang Dong

    (School of Economics and Management, University of Chinese Academy of Sciences,Beijing, China)

Abstract

The purpose of this research is to analyze the convergence of regional house prices and its complexity in China. In this purpose it used nonlinear time varying factor model. The obtained results have provided evidences for the existence of some degree of segmentation in China’s housing market. By further dynamic analysis of the convergence, we have found that important housing policies from Chinese central government can significantly alter the housing market but with a time lag of 4 to 5 months, and that quite different behaviors exist between the new house market and the second-hand house market in China, which provides the evidence for the complexity of housing market in China. Multiple factors together are the driving forces for the regional house price convergence. And the driving forces differ among three clubs. The basic conclusion provided from the realized research is that the conventional de?nitions of economic regions may not be appropriate to analyze house price segregation in China. Heterogeneous convergence exists in China’s regional house prices, indicating the complexity of regional house prices in China. And housing policies should be implemented with different focus among the regions. The way of the central government is to make housing policies aiming at different sub-markets of the new house market and the second-hand house market.

Suggested Citation

  • Rui Lin & Xin Zhang & Xiuting Li & Jichang Dong, 2015. "Heterogeneous convergence of regional house prices and the complexity in China," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 33(2), pages 325-348.
    • Handle: RePEc:rfe:zbefri:v:33:y:2015:i:2:p:325-348
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    References listed on IDEAS

    as
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    5. Montañés, A. & Olmos, L., 2013. "Convergence in US house prices," Economics Letters, Elsevier, vol. 121(2), pages 152-155.
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jin Hu & Xuelei Xiong & Yuanyuan Cai & Feng Yuan, 2020. "The Ripple Effect and Spatiotemporal Dynamics of Intra-Urban Housing Prices at the Submarket Level in Shanghai, China," Sustainability, MDPI, vol. 12(12), pages 1-17, June.
    2. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    3. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.

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    More about this item

    Keywords

    convergence; house prices; China; policy; complexity;
    All these keywords.

    JEL classification:

    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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