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China’s market economy, shadow banking and the frequency of growth slowdown

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  • Vo Phuong Mai Le
  • Kent Matthews
  • David Meenagh
  • Patrick Minford
  • Zhiguo Xiao

Abstract

The activity of the Shadow Banks in China has been the subject of considerable interest in recent years. Total shadow banking lending has reached over 60% of GDP and has grown faster than regular bank lending. It has been argued that unregulated shadow banking has fuelled a credit boom that poses a risk to the stability of the financial system. This paper estimates a model of the Chinese economy using a DSGE framework that accommodates a banking sector that isolates the effects of lending to the private sector including shadow bank lending. A refinement of the model allows for bank lending including lending by the shadow banks to affect the credit premium on private investment. The main finding is that while financial shocks are significant, it is real shocks that dominate. The model is used to simulate the frequency of growth slowdowns in China and concludes that these are more likely to be driven by real sector shocks rather than financial sector, including shadow bank shocks. This paper differs from other applications in its use of indirect inference to test the fitted model against a three‐equation VAR of inflation, output gap and interest rate.

Suggested Citation

  • Vo Phuong Mai Le & Kent Matthews & David Meenagh & Patrick Minford & Zhiguo Xiao, 2021. "China’s market economy, shadow banking and the frequency of growth slowdown," Manchester School, University of Manchester, vol. 89(5), pages 420-444, September.
    • Handle: RePEc:bla:manchs:v:89:y:2021:i:5:p:420-444
    DOI: 10.1111/manc.12318
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    References listed on IDEAS

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    1. Ge, Xinyu & Li, Xiao-Lin & Li, Yong & Liu, Yan, 2022. "The driving forces of China's business cycles: Evidence from an estimated DSGE model with housing and banking," China Economic Review, Elsevier, vol. 72(C).
    2. Feng, Yongqi & Cao, Yue & Ni, Juan, 2024. "Does Fintech affect shadow banking of non-financial firms? Evidence from the entrusted loans," International Review of Financial Analysis, Elsevier, vol. 94(C).

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