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A DSGE Decision Model for Investigating the LPR Transmission Effect
1School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China.
Computational Intelligence and Neuroscience
|January 31, 2022
Summary
China's 2019 Loan Prime Rate (LPR) reform improved loan pricing and marketization. The LPR's impact on macroeconomic growth depends on financial structure, bank pricing power, and LPR adoption, according to a DSGE model.
Area of Science:
- Economics
- Financial Markets
- Monetary Policy
Background:
- China's People's Bank initiated a Loan Prime Rate (LPR) reform in August 2019 to enhance monetary policy transmission.
- The reform prioritized new loans before existing ones, aiming to improve the "policy interest rate, LPR, loan interest rate" channel.
Purpose of the Study:
- To analyze the policy effects of the LPR reform on China's financial system.
- To investigate the factors influencing the effectiveness of LPR-based monetary policy transmission.
Main Methods:
- Construction of a Dynamic Stochastic General Equilibrium (DSGE) decision model.
- Analysis of policy effects transmitted through the LPR mechanism.
Main Results:
- The study found that financial market structure, commercial banks' pricing ability, and the extent of LPR application significantly influence the policy rate transmission effect.
- These factors were observed to have an impulse impact on macroeconomic growth.
Conclusions:
- The LPR reform has improved the marketization of loan pricing in China.
- Policy recommendations are provided for advancing interest rate liberalization and for commercial banks to adapt to the evolving financial landscape.
