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Shadow banking activity and entrusted loans in a DSGE model of China

  • Chaowei Wang*
  • , Vo Phuong Mai Le
  • , Kent Matthews
  • , Peng Zhou
  • *Corresponding author for this work

Research output: Journal PublicationArticlepeer-review

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Abstract

This paper examines how the risky lending activities of the state-owned enterprises (SOEs) affect the effectiveness of monetary and fiscal policy in China with a shadow banking sector. We develop a dynamic stochastic general equilibrium (DSGE) macroeconomic model with two production sectors, where the SOEs have access to low cost funds from the commercial banks (also mainly state-owned) and on-lend to the private sector in the form of entrusted loans. The Bayesian estimation results show that higher restrictions on bank credit push SOEs to engage in more shadow banking in this form which dampens the effectiveness of contractionary monetary policy. Expansionary fiscal policy increases output, but crowds out private investment, which can further drain the financial market and exert a detrimental effect on the Chinese economy.

Original languageEnglish
Pages (from-to)445-469
Number of pages25
JournalManchester School
Volume89
Issue number5
DOIs
Publication statusPublished - Sept 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Free Keywords

  • Bayesian estimation
  • DSGE
  • entrusted loans
  • monetary policy
  • shadow banking
  • state-owned enterprises

ASJC Scopus subject areas

  • Economics and Econometrics

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