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Regional spillover and rising connectedness in China’s urban housing prices

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  • Dayong Zhang
  • Gang-Zhi Fan

Abstract

Regional housing prices may be dynamically linked and converge to a long-run equilibrium. The level of connectedness can be used to describe systemic risk in the housing market. This paper uses a recently developed vector autoregressive-based time-series approach to focus on the short-run dynamics in urban housing prices in China. The empirical results show that housing prices across cities have increasingly connected and consequentially associated with higher systemic risk. The empirical results are consistent with the implications of an information spillover mechanism documented in the recent literature.

Suggested Citation

  • Dayong Zhang & Gang-Zhi Fan, 2019. "Regional spillover and rising connectedness in China’s urban housing prices," Regional Studies, Taylor & Francis Journals, vol. 53(6), pages 861-873, June.
    • Handle: RePEc:taf:regstd:v:53:y:2019:i:6:p:861-873
    DOI: 10.1080/00343404.2018.1490011
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    Citations

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    Cited by:

    1. Leeyoung Kim & Wonseok Seo, 2021. "Micro-Analysis of Price Spillover Effect among Regional Housing Submarkets in Korea: Evidence from the Seoul Metropolitan Area," Land, MDPI, vol. 10(8), pages 1-21, August.
    2. Dayong Zhang & Qiang Ji & Wan-Li Zhao & Nicholas J Horsewood, 2021. "Regional housing price dependency in the UK: A dynamic network approach," Urban Studies, Urban Studies Journal Limited, vol. 58(5), pages 1014-1031, April.
    3. Li, Qiang & Nong, Huifu, 2022. "A closer look at Chinese housing market: Measuring intra-city submarket connectedness in Shanghai and Guangzhou," China Economic Review, Elsevier, vol. 74(C).
    4. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2023. "Time-varying impacts of monetary policy uncertainty on China's housing market," Economic Modelling, Elsevier, vol. 118(C).
    5. Nguyen, Thi Thu Ha & Naeem, Muhammad Abubakr & Balli, Faruk & Balli, Hatice Ozer & Syed, Iqbal, 2021. "Information transmission between oil and housing markets," Energy Economics, Elsevier, vol. 95(C).
    6. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2021. "Time-varying inter-urban housing price spillovers in China: Causes and consequences," Journal of Asian Economics, Elsevier, vol. 77(C).
    7. Lee, Hahn Shik & Lee, Woo Suk, 2019. "Cross-regional connectedness in the Korean housing market," Journal of Housing Economics, Elsevier, vol. 46(C).
    8. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2021. "A regional decomposition of US housing prices and volume: market dynamics and Portfolio diversification," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 279-307, April.
    9. Jiang, Junhua & Piljak, Vanja & Tiwari, Aviral Kumar & Äijö, Janne, 2020. "Frequency volatility connectedness across different industries in China," Finance Research Letters, Elsevier, vol. 37(C).
    10. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    11. Zheng, Xian & Chen, Xingtao & Yuan, Ziqing, 2021. "Exploring the spatial spillover effect of home purchase restrictions on residential land prices based on the difference-in-differences approach: Evidence from 195 Chinese cities," Land Use Policy, Elsevier, vol. 102(C).
    12. Nong, Huifu & Yu, Ziliang & Li, Yang, 2024. "Financial shock transmission in China's banking and housing sectors: A network analysis," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 701-723.
    13. Kangogo, Moses & Volkov, Vladimir, 2022. "Detecting signed spillovers in global financial markets: A Markov-switching approach," International Review of Financial Analysis, Elsevier, vol. 82(C).
    14. James E. Payne & Xiaojin Sun, 2023. "Time‐varying connectedness of metropolitan housing markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(2), pages 470-502, March.
    15. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    16. Yuanyuan Cai & Yingming Zhu & Marco Helbich, 2022. "Club convergence of regional housing prices in China: evidence from 70 major Cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 33-55, August.
    17. Akhtaruzzaman, Md & Boubaker, Sabri & Umar, Zaghum, 2022. "COVID–19 media coverage and ESG leader indices," Finance Research Letters, Elsevier, vol. 45(C).
    18. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).
    19. Hu, Genhua & Fan, Gang-Zhi, 2022. "Empirical evidence of risk contagion across regional housing markets in China," Economic Modelling, Elsevier, vol. 115(C).

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