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Analyzing the Role of the Real Estate Sector in the Sectoral Network of the Chinese Economy

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  • Nong, Huifu

Abstract

The real estate sector in China has strong connections with other sectors. By employing forecast error variance decompositions from least absolute shrinkage and selection operator vector autoregression (LASSO-VAR) model, this study explores the real estate sector's role in China's sectoral network between January 1, 2000, and June 30, 2023. Our analysis reveals that the total sectoral connectedness ranged between 80% and 90% before 2016, but fluctuated between 55% and 90% from 2016 to June 2023. We also identify that shocks primarily spread from the real estate sector to the financial sector from 2014 to 2019. However, this pattern was reversed, with shocks spreading from the financial sector to the real estate sector from early 2020 to June 2023. Furthermore, we observe that the government's long-term mechanisms for the real estate sector have a significant impact on the connection between the real estate sector and the other sectors.

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  • Nong, Huifu, 2024. "Analyzing the Role of the Real Estate Sector in the Sectoral Network of the Chinese Economy," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 567-580.
    • Handle: RePEc:eee:streco:v:70:y:2024:i:c:p:567-580
    DOI: 10.1016/j.strueco.2024.05.022
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    as
    1. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    2. Tobias Eckernkemper, 2018. "Modeling Systemic Risk: Time-Varying Tail Dependence When Forecasting Marginal Expected Shortfall," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 63-117.
    3. Nong, Huifu & Liu, Hongxiao, 2023. "Measuring the frequency and quantile connectedness between policy categories and global oil price," Resources Policy, Elsevier, vol. 83(C).
    4. Gabauer, David & Gupta, Rangan & Marfatia, Hardik A. & Miller, Stephen M., 2024. "Estimating U.S. housing price network connectedness: Evidence from dynamic Elastic Net, Lasso, and ridge vector autoregressive models," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 349-362.
    5. Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
    6. 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.
    7. Wang, Zijun & Kutan, Ali M. & Yang, Jian, 2005. "Information flows within and across sectors in Chinese stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(4-5), pages 767-780, September.
    8. Yongming Huang & Jamal Khan & Eric Girardin & Umair Shad, 2021. "The Role of the Real Estate Sector in the Structural Dynamics of the Chinese Economy: An Input–Output Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(1), pages 61-86, January.
    9. Edward E. Leamer, 2015. "Housing Really Is the Business Cycle: What Survives the Lessons of 2008–09?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(S1), pages 43-50, March.
    10. Hao, Jing & He, Feng, 2018. "Univariate dependence among sectors in Chinese stock market and systemic risk implication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 355-364.
    11. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    12. Bostanci, Gorkem & Yilmaz, Kamil, 2020. "How connected is the global sovereign credit risk network?," Journal of Banking & Finance, Elsevier, vol. 113(C).
    13. Jozef Barunik & Mattia Bevilacqua & Radu Tunaru, 2022. "Asymmetric Network Connectedness of Fears," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1304-1316, November.
    14. 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).
    15. Mensi, Walid & Vo, Xuan Vinh & Ko, Hee-Un & Kang, Sang Hoon, 2023. "Frequency spillovers between green bonds, global factors and stock market before and during COVID-19 crisis," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 558-580.
    16. Thomas Chaney & David Sraer & David Thesmar, 2012. "The Collateral Channel: How Real Estate Shocks Affect Corporate Investment," American Economic Review, American Economic Association, vol. 102(6), pages 2381-2409, October.
    17. 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).
    18. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    19. Edward E. Leamer, 2007. "Housing is the business cycle," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 149-233.
    20. William G. Hardin & Mingzhi Hu & Zhenguo Lin, 2023. "Culture, Wealth, Gender, Real Estate, and Consumption in China: It’s a Boy," Journal of Real Estate Research, Taylor & Francis Journals, vol. 45(1), pages 55-82, January.
    21. Sylvain Benoit & Jean-Edouard Colliard & Christophe Hurlin & Christophe Pérignon, 2017. "Where the Risks Lie: A Survey on Systemic Risk," Review of Finance, European Finance Association, vol. 21(1), pages 109-152.
    22. 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.
    23. Chang Liu & Wei Xiong, 2018. "China's Real Estate Market," NBER Working Papers 25297, National Bureau of Economic Research, Inc.
    24. Costa, Antonio & Matos, Paulo & da Silva, Cristiano, 2022. "Sectoral connectedness: New evidence from US stock market during COVID-19 pandemics," Finance Research Letters, Elsevier, vol. 45(C).
    25. Indraneel Chakraborty & Itay Goldstein & Andrew MacKinlay, 2018. "Housing Price Booms and Crowding-Out Effects in Bank Lending," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2806-2853.
    26. Alberto Martín & Enrique Moral-Benito & Tom Schmitz, 2018. "The Financial Transmission of Housing Bubbles: Evidence from Spain," Working Papers 625, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    27. Richard Koss & Xinrui Shi, 2018. "Stabilizing China’s Housing Market," IMF Working Papers 2018/089, International Monetary Fund.
    28. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Asymmetric connectedness on the U.S. stock market: Bad and good volatility spillovers," Journal of Financial Markets, Elsevier, vol. 27(C), pages 55-78.
    29. Shahzad, Syed Jawad Hussain & Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie, 2021. "Asymmetric volatility spillover among Chinese sectors during COVID-19," International Review of Financial Analysis, Elsevier, vol. 75(C).
    30. 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.
    31. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    32. Chen, Pu & Wang, Chunyang & Liu, Yangyan, 2015. "Real estate prices and firm borrowings: Micro evidence from China," China Economic Review, Elsevier, vol. 36(C), pages 296-308.
    33. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2022. "Sector connectedness in the Chinese stock markets," Empirical Economics, Springer, vol. 62(2), pages 825-852, February.
    34. Ioannis Chatziantoniou & David Gabauer & Hardik A. Marfatia, 2022. "Dynamic connectedness and spillovers across sectors: Evidence from the Indian stock market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 283-300, July.
    35. Hong Liu & Lili Liu & Fei Wang, 2023. "Housing wealth and fertility: evidence from China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(1), pages 359-395, January.
    36. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
    37. Hsu, Nan-Jung & Hung, Hung-Lin & Chang, Ya-Mei, 2008. "Subset selection for vector autoregressive processes using Lasso," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3645-3657, March.
    38. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
    39. Fan, Gang-Zhi & Li, Han & Li, Jiangyi & Zhang, Jian, 2022. "Housing property rights, collateral, and entrepreneurship: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 143(C).
    40. Jiménez, Gabriel & Mian, Atif & Peydró, José-Luis & Saurina, Jesús, 2020. "The Real Effects of the Bank Lending Channel," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 115, pages 162-179.
    41. Miao, Jianjun & Wang, Pengfei, 2014. "Sectoral bubbles, misallocation, and endogenous growth," Journal of Mathematical Economics, Elsevier, vol. 53(C), pages 153-163.
    42. Li Lin & Didier Sornette, 2018. "“Speculative Influence Network” during financial bubbles: application to Chinese stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 385-431, July.
    43. Wu, Yan & Heerink, Nico & Yu, Linhui, 2020. "Real estate boom and resource misallocation in manufacturing industries: Evidence from China," China Economic Review, Elsevier, vol. 60(C).
    44. repec:ulb:ulbeco:2013/13388 is not listed on IDEAS
    45. repec:hal:spmain:info:hdl:2441/75koqefued8i7pihbrl9u84p4u is not listed on IDEAS
    46. Gabauer, David & Gupta, Rangan, 2020. "Spillovers across macroeconomic, financial and real estate uncertainties: A time-varying approach," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 167-173.
    47. 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).
    48. Lina Meng & Xiao Xiao & Yinggang Zhou, 2023. "Housing Boom and Household Migration Decision: New Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 67(3), pages 453-479, October.
    49. Weizeng Sun & Siqi Zheng & David M. Geltner & Rui Wang, 2017. "The Housing Market Effects of Local Home Purchase Restrictions: Evidence from Beijing," The Journal of Real Estate Finance and Economics, Springer, vol. 55(3), pages 288-312, October.
    50. Feng, Sida & Huang, Shupei & Qi, Yabin & Liu, Xueyong & Sun, Qingru & Wen, Shaobo, 2018. "Network features of sector indexes spillover effects in China: A multi-scale view," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 461-473.
    51. Yang, Jian & Tong, Meng & Yu, Ziliang, 2021. "Housing market spillovers through the lens of transaction volume: A new spillover index approach," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 351-378.
    52. Dayong Zhang & Jing Cai & Jia Liu & Ali M. Kutan, 2018. "Real estate investments and financial stability: evidence from regional commercial banks in China," The European Journal of Finance, Taylor & Francis Journals, vol. 24(16), pages 1388-1408, November.
    53. Campello, Murillo & Connolly, Robert A. & Kankanhalli, Gaurav & Steiner, Eva, 2022. "Do real estate values boost corporate borrowing? Evidence from contract-level data," Journal of Financial Economics, Elsevier, vol. 144(2), pages 611-644.
    54. Liu, Guanchun & Liu, Yuanyuan & Ye, Yongwei & Zhang, Chengsi, 2021. "Collateral menus and corporate employment: Evidence from China's Property Law," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 686-709.
    55. Shijun Jia & Yourong Wang & Gang-Zhi Fan, 2018. "Home-Purchase Limits and Housing Prices: Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 56(3), pages 386-409, April.
    56. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
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    More about this item

    Keywords

    Real Estate; Sectoral Connectedness; Stock Market; Return Spillover; Variance Decomposition;
    All these keywords.

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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