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Revisiting the determinants of house prices in China's megacities: cross-sectional heterogeneity, interdependencies and spillovers

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  • Liu, Chunping

    (Nottingham Trent University)

  • Ou, Zhirong

    (Cardiff Business School)

Abstract

We revisit the determinants of house prices in China s megacities. Previous work on similar topics fails to account for the widespread cross-sectional heterogeneity and interdependencies, despite the importance of them. Using a PVAR estimated by the Bayesian method allowing for these features, we nd each city is rather unique, especially on the extent to which local house prices are disturbed by external house price shocks. The spillovers are mainly due to direct housing market interdependence, which seems related more to demand before 2010, but more to supply thereafter due to property purchase restrictions. The new evidence we establish therefore suggests that city-level stabilisation of house prices should fully respect local features, including how local markets respond to external disturbances.

Suggested Citation

  • Liu, Chunping & Ou, Zhirong, 2021. "Revisiting the determinants of house prices in China's megacities: cross-sectional heterogeneity, interdependencies and spillovers," Cardiff Economics Working Papers E2021/4, Cardiff University, Cardiff Business School, Economics Section.
    • Handle: RePEc:cdf:wpaper:2021/4
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    as
    1. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    2. Giordano, Raffaela & Momigliano, Sandro & Neri, Stefano & Perotti, Roberto, 2007. "The effects of fiscal policy in Italy: Evidence from a VAR model," European Journal of Political Economy, Elsevier, vol. 23(3), pages 707-733, September.
    3. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    4. Liu, Chunping & Ou, Zhirong, 2019. "Has fiscal expansion inflated house prices in China? Evidence from an estimated DSGE model," Cardiff Economics Working Papers E2019/18, Cardiff University, Cardiff Business School, Economics Section.
    5. Zhang, Yanbing & Hua, Xiuping & Zhao, Liang, 2012. "Exploring determinants of housing prices: A case study of Chinese experience in 1999–2010," Economic Modelling, Elsevier, vol. 29(6), pages 2349-2361.
    6. Fabio Canova & Matteo Ciccarelli, 2009. "Estimating Multicountry Var Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 929-959, August.
    7. Canova, Fabio & Ciccarelli, Matteo & Ortega, Eva, 2012. "Do institutional changes affect business cycles? Evidence from Europe," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1520-1533.
    8. Feixue Huang & Cheng Li & Yanxi Li, 2010. "Ripple Effect of Housing Prices among Chinese Deputy Provincial Cities Based on an Alternative Approach," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 1(1), pages 19-24, November.
    9. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.
    10. Tsai, I-Chun, 2014. "Ripple effect in house prices and trading volume in the UK housing market: New viewpoint and evidence," Economic Modelling, Elsevier, vol. 40(C), pages 68-75.
    11. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    12. Kaiji Chen & Yi Wen, 2017. "The Great Housing Boom of China," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(2), pages 73-114, April.
    13. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    14. Fabio Canova & Evi Pappa, 2007. "Price Differentials in Monetary Unions: The Role of Fiscal Shocks," Economic Journal, Royal Economic Society, vol. 117(520), pages 713-737, April.
    15. Caldara, Dario & Kamps, Christophe, 2008. "What are the effects of fiscal policy shocks? A VAR-based comparative analysis," Working Paper Series 877, European Central Bank.
    16. repec:bla:scotjp:v:44:y:1997:i:3:p:225-46 is not listed on IDEAS
    17. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    18. Bruno Giussani & George Hadjimatheou, 1991. "Modeling Regional House Prices In The United Kingdom," Papers in Regional Science, Wiley Blackwell, vol. 70(2), pages 201-219, April.
    19. Wen, Xing-Chun & He, Ling-Yun, 2015. "Housing demand or money supply? A new Keynesian dynamic stochastic general equilibrium model on China’s housing market fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 257-268.
    20. Liang, Qi & Cao, Hua, 2007. "Property prices and bank lending in China," Journal of Asian Economics, Elsevier, vol. 18(1), pages 63-75, February.
    21. Changrong Deng & Yongkai Ma & Yao-Min Chiang, 2009. "The Dynamic Behavior of Chinese Housing Prices," International Real Estate Review, Global Social Science Institute, vol. 12(2), pages 121-134.
    22. Wang, Songtao & Yang, Zan & Liu, Hongyu, 2011. "Impact of urban economic openness on real estate prices: Evidence from thirty-five cities in China," China Economic Review, Elsevier, vol. 22(1), pages 42-54, March.
    23. Yunlong Gong & Jan de Haan & Peter Boelhouwer, 2020. "Cross‐city spillovers in Chinese housing markets: From a city network perspective," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1065-1085, August.
    24. Shu-hen Chiang, 2014. "Housing Markets in China and Policy Implications: Comovement or Ripple Effect," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(6), pages 103-120, November.
    25. Fatás, Antonio & Mihov, Ilian, 2001. "The Effects of Fiscal Policy on Consumption and Employment: Theory and Evidence," CEPR Discussion Papers 2760, C.E.P.R. Discussion Papers.
    26. Matteo Iacoviello & Stefano Neri, 2010. "Housing Market Spillovers: Evidence from an Estimated DSGE Model," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 125-164, April.
    27. Gregory C. Chow & Linlin Niu, 2015. "Housing Prices in Urban China as Determined by Demand and Supply," Pacific Economic Review, Wiley Blackwell, vol. 20(1), pages 1-16, February.
    28. Olivier Blanchard & Roberto Perotti, 2002. "An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(4), pages 1329-1368.
    29. John Ashworth & Simon C. Parker, 1997. "Modelling Regional House Prices in the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 44(3), pages 225-246, August.
    30. Fang Zhang & Bruce Morley, 2014. "The convergence of regional house prices in China," Applied Economics Letters, Taylor & Francis Journals, vol. 21(3), pages 205-208, February.
    31. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    32. Wang, Zhi & Zhang, Qinghua, 2014. "Fundamental factors in the housing markets of China," Journal of Housing Economics, Elsevier, vol. 25(C), pages 53-61.
    33. Minetti, Raoul & Peng, Tao & Jiang, Tao, 2019. "Keeping up with the Zhangs and house price dynamics in China," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    34. Ronald Macdonald & Mark P. Taylor, 1993. "The Monetary Approach to the Exchange Rate: Rational Expectations, Long-Run Equilibrium, and Forecasting," IMF Staff Papers, Palgrave Macmillan, vol. 40(1), pages 89-107, March.
    35. Anthony Murphy & John Muellbauer, 1994. "Explaining regional house prices in the UK," Working Papers 199421, School of Economics, University College Dublin.
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    More about this item

    Keywords

    House price; Chinese megacities; PVAR; cross-sectional heterogeneity and interdependencies;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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