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The business cycle implications of land financing in China

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  • Guo, Shen
  • Liu, Lezheng
  • Zhao, Yan

Abstract

In the past decade, the Chinese government was increasingly relying on revenues from land sales to finance the public spending. This paper examines the impacts of land financing on business cycle fluctuations in China in an estimated DSGE model. The simulation results indicate that the overall effect of land financing is to increase the business cycle fluctuations by 12.6%. However, the impacts of land financing on business cycle fluctuations depend on shocks hitting the economy. The policy implication of this paper is that cutting the direct linkage between the government expenditure and the land sales could mitigate the business cycle fluctuations.

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  • Guo, Shen & Liu, Lezheng & Zhao, Yan, 2015. "The business cycle implications of land financing in China," Economic Modelling, Elsevier, vol. 46(C), pages 225-237.
    • Handle: RePEc:eee:ecmode:v:46:y:2015:i:c:p:225-237
    DOI: 10.1016/j.econmod.2014.12.033
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    1. Ms. Yuanyan S Zhang & Mr. Steven A Barnett, 2014. "Fiscal Vulnerabilities and Risks from Local Government Finance in China," IMF Working Papers 2014/004, International Monetary Fund.
    2. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    3. Xin Wang & Yi Wen, 2019. "Macroeconomic effects of government spending in China," Pacific Economic Review, Wiley Blackwell, vol. 24(3), pages 416-446, August.
    4. Zheng Liu & Pengfei Wang & Tao Zha, 2013. "Land‐Price Dynamics and Macroeconomic Fluctuations," Econometrica, Econometric Society, vol. 81(3), pages 1147-1184, May.
    5. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    6. 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.
    7. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    8. Zheng Song & Kjetil Storesletten & Fabrizio Zilibotti, 2011. "Growing Like China," American Economic Review, American Economic Association, vol. 101(1), pages 196-233, February.
    9. Chong-En Bai & Chang-Tai Hsieh & Yingyi Qian, 2006. "The Return to Capital in China," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 37(2), pages 61-102.
    10. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    11. Laurenceson, James & Rodgers, Danielle, 2010. "China's macroeconomic volatility -- How important is the business cycle?," China Economic Review, Elsevier, vol. 21(2), pages 324-333, June.
    12. Peterson, George E. & Kaganova, Olga, 2010. "Integrating land financing into subnational fiscal management," Policy Research Working Paper Series 5409, The World Bank.
    13. Matteo Iacoviello & Stefano Neri, 2008. "Housing market spillovers : evidence from an estimated DSGE model," Working Paper Research 145, National Bank of Belgium.
    14. Zhang, Wenlang, 2009. "China's monetary policy: Quantity versus price rules," Journal of Macroeconomics, Elsevier, vol. 31(3), pages 473-484, September.
    15. Leeper, Eric M. & Walker, Todd B. & Yang, Shu-Chun S., 2010. "Government investment and fiscal stimulus," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1000-1012, November.
    16. Chadwick C. Curtis & Nelson Mark, 2010. "Business Cycles, Consumption and Risk-Sharing: How Different Is China?," NBER Working Papers 16154, National Bureau of Economic Research, Inc.
    17. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
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    4. Jing Qian & Yunfei Peng & Cheng Luo & Chao Wu & Qingyun Du, 2015. "Urban Land Expansion and Sustainable Land Use Policy in Shenzhen: A Case Study of China’s Rapid Urbanization," Sustainability, MDPI, vol. 8(1), pages 1-16, December.
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    6. Jiao Huang & Ze Liang & Shuyao Wu & Shuangcheng Li, 2019. "Grain Self-Sufficiency Capacity in China’s Metropolitan Areas under Rapid Urbanization: Trends and Regional Differences from 1990 to 2015," Sustainability, MDPI, vol. 11(9), pages 1-23, April.
    7. Xu, Feng & Wang, Huan & Chi, Guangqing, 2025. "Does market-oriented land conveyance affect regional economic resilience? A spatial and mediation analysis based on 287 Chinese cities," Land Use Policy, Elsevier, vol. 150(C).
    8. Xinhua Zhu & Yigang Wei & Yani Lai & Yan Li & Sujuan Zhong & Chun Dai, 2019. "Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    9. Fan, Ying, 2022. "Demand shocks and price stickiness in housing market dynamics," Economic Modelling, Elsevier, vol. 110(C).
    10. Gyourko, Joseph & Shen, Yang & Wu, Jing & Zhang, Rongjie, 2022. "Land finance in China: Analysis and review," China Economic Review, Elsevier, vol. 76(C).
    11. Wang, Weifang & van Noorloos, Femke & Spit, Tejo, 2020. "Stakeholder power relations in Land Value Capture: comparing public (China) and private (U.S.) dominant regimes," Land Use Policy, Elsevier, vol. 91(C).
    12. Yubo Wang & Xizhu Yang, 2022. "Fiscal Ecological Cost of Land in China: Estimation and Regional Differences," Land, MDPI, vol. 11(8), pages 1-25, August.
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    14. Liu, Chunping & Ou, Zhirong, 2024. "Has fiscal expansion inflated house prices in China? Evidence from an estimated DSGE model," International Review of Economics & Finance, Elsevier, vol. 96(PA).
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    17. Ping Zhang & Xiaojuan Yang & Hua Chen & Sidong Zhao, 2023. "Matching Relationship between Urban Service Industry Land Expansion and Economy Growth in China," Land, MDPI, vol. 12(6), pages 1-29, May.

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