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On The Impact Of Real Estate Prices On The Development Of Regional Economy In China–An Estimation Based On Panel Quantile Regression Model

Author

Listed:
  • Baili Zhang

    (Anhui Jiaokong Information Industry Co., LTD, Hefei, Anhui 230088,China)

  • Yadong Ma

    (Academician Workstation of Tangshan Ruichi Technology Co., Ltd, Tangshan, Hebei 063299，China)

  • Mengyue Yin

    (School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China)

  • Zhengxun Li

    (School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China)

Abstract

The paper analyzes the mechanism of real estate prices on economic development with panel quantile regression model. It is found that real estate prices can significantly promote economic development. Generally speaking, the contribution of real estate prices to economic development in regions with higher level of economic development is higher than that in regions with lower level. With the continuous improvement of the quantile, the impact of real estate prices has generally increased gradually, and the impact of urbanization level basically shows the law of diminishing marginal effect.

Suggested Citation

  • Baili Zhang & Yadong Ma & Mengyue Yin & Zhengxun Li, 2021. "On The Impact Of Real Estate Prices On The Development Of Regional Economy In China–An Estimation Based On Panel Quantile Regression Model," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 5(2), pages 51-54, October.
    • Handle: RePEc:zib:zbmecj:v:5:y:2021:i:1:p:51-54
    DOI: 10.26480/mecj.02.2021.51.54
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    References listed on IDEAS

    as
    1. Paolo Gelain & Kevin J. Lansing & Caterina Mendicino, 2013. "House Prices, Credit Growth, and Excess Volatility: Implications for Monetary and Macroprudential Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 219-276, June.
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