首页|中国财政货币政策的产业调控效应——基于水平冲击与不确定性冲击双重视角

中国财政货币政策的产业调控效应——基于水平冲击与不确定性冲击双重视角

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本文通过构建一个包含财政货币政策和三次产业产出与通胀的SV-SVAR模型,详细区分了政策水平冲击与不确定性冲击,从全新视角刻画了经济政策的作用机制.本文的主要结论如下:(1)与普通SVAR模型对比,SV-SVAR模型在建模效率、系统稳定性和解释力度上均具有显著优势,这说明它更适合于刻画经济政策的传导机制;(2)就政策不确定性的作用来看,它的影响有时甚至会超过水平冲击,但多数情况下都表现为抑制三次产业产出,而对于三次产业通胀的调控则需面临权衡;(3)就三次产业的均衡调整而言,减税降费是优化三次产业产出的有效手段,而在维稳物价方面,稳健的利率调控则更加高效.在当前新冠肺炎疫情等重大随机事件的冲击下,中国经济内部不确定性显著增强,探究经济政策,特别是突发的政策不确定性如何影响三次产业发展能为兼顾经济平稳发展和产业结构升级提供重要的经验参考.
Identifying the Industrial Effect of China's Fiscal and Monetary Policies:Based on the Dual Perspective of Level Shock and Uncertainty Shock
This paper constructs a benchmark VAR model that includes fiscal and monetary policies variables and output and inflation variables of the three industries.It distinguishes the policy level shocks from the uncertainty shocks,and describes the mechanism of economic policy from a new perspective.The main conclusions of this paper are as follows:(1)Compared with SVAR models,the SV-SVAR model has significant advantages in modeling efficiency,system stability,and interpretation strength,which shows that it is more suitable for characterizing the transmission mechanism of economic policies.(2)The impact of uncertainty shocks sometimes even exceeds level shocks,but in most cases,it is manifested as the suppression of the output of the third industrial,while the regulation of the third industrial inflation needs to face a trade-off.(3)In terms of the industry's adjustment,tax cuts and fee reductions is an effective means to optimize the output of the three industries,while when it comes to price stability,robust interest rate regulation is more efficient.Under the impact of major random events such as COVID-19,the internal uncertainty of China's economy has been significantly enhanced.Exploring how economic policies,especially sudden policy uncertainties,affect the development of the three industries can provide important empirical reference for balancing stable economic development and industrial structure upgrading.

policy level shockspolicy uncertainty shocksSV-SVAR modelindustry-oriented regulation

陈婉莹、刘金全

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吉林大学东北亚学院,吉林长春 130012

广州大学经济与统计学院,广东 广州 510006

经济政策水平冲击 政策不确定性冲击 SV-SVAR模型 产业定向调控

2024

数理统计与管理
中国现场统计研究会

数理统计与管理

CSTPCDCSSCICHSSCD北大核心
影响因子:1.114
ISSN:1002-1566
年,卷(期):2024.43(6)