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Real estate price and heterogeneous investment behavior in China

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  • Wang, Ren
  • Hou, Jie
  • He, Xiaobei

Abstract

We study the dynamic link between real estate prices and firms' investment behaviors in China using a new Keynesian dynamic stochastic general equilibrium model. The model features heterogeneous production sectors in which private firms face discriminatory borrowing constraints while state-owned firms are not. Fitted to China's quarterly data from 2005Q3 to 2014Q4, the quantitative general equilibrium model enables us to identify the driving forces behind and the macroeconomic variables interacting with land price. It confirms the existence of the “collateral channel” in the private sector without bearing the potential endogeneity problems in empirical studies. More importantly, we identify a “crowding out” channel between private and state-owned firms caused by discriminatory financial constraints. The “crowding out” channel implies a negative relationship between real estate prices and the investment of state-owned firms, which has been documented in empirical research but short of explanation so far.

Suggested Citation

  • Wang, Ren & Hou, Jie & He, Xiaobei, 2017. "Real estate price and heterogeneous investment behavior in China," Economic Modelling, Elsevier, vol. 60(C), pages 271-280.
  • Handle: RePEc:eee:ecmode:v:60:y:2017:i:c:p:271-280
    DOI: 10.1016/j.econmod.2016.09.020
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    3. Guo, Shen & Jiang, Zheng & Shi, Huimin, 2018. "The business cycle implications of bank discrimination in China," Economic Modelling, Elsevier, vol. 73(C), pages 264-278.
    4. Yeujun Yoon & Yu Li & Yan Feng, 2019. "Factors affecting platform default risk in online peer-to-peer (P2P) lending business: an empirical study using Chinese online P2P platform data," Electronic Commerce Research, Springer, vol. 19(1), pages 131-158, March.
    5. Wang, Lei & Li, Shouwei & Wang, Jining & Meng, Yi, 2020. "Real estate bubbles in a bank-real estate loan network model integrating economic cycle and macro-prudential stress testing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    6. Zhiheng Yang & Chenxi Li & Yongheng Fang, 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China," Land, MDPI, Open Access Journal, vol. 9(1), pages 1-21, January.
    7. Guo, Yumei & Huang, Xianjing & Peng, Yuchao, 2020. "How does house price influence monetary policy transmission?," International Review of Financial Analysis, Elsevier, vol. 72(C).

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