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尾部风险、生产网络与行业增加值波动

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建立包含行业尾部风险的多行业生产网络一般均衡模型,从中分解出行业尾部风险扩散导致增加值波动的技术扭曲网络效应和配置扭曲网络效应,然后采用ICIO数据库 1998-2020 年中国的投入产出数据,实证检验两种扭曲网络效应对行业增加值波动的影响.研究表明:生产网络会放大并传导行业尾部风险,形成技术扭曲网络效应、配置扭曲网络效应,其中配置扭曲网络效应对行业增加值波动的负面影响更强烈;下游行业的需求侧冲击会通过生产网络向上游传导,使技术扭曲网络效应对上游行业的冲击更强;高技术水平的工业、均衡的生产网络结构以及高中间品替代弹性行业更容易抵御风险冲击;在极端事件冲击时期,两种扭曲网络效应的负面冲击更显著.建议政府正视生产网络对风险的传导作用,做好风险防范与对冲,以实现经济平稳运转.
Tail Risk,Production Network and Industrial Value Added Fluctuation
This paper constructs a multi-sector general equilibrium model of production net-work incorporating tail risks across industries,from which technical distortion network effects and allocation distortion network effects of value added fluctuation caused by industrial tail risk conta-gion are decomposed.Then,using the input-output data of China from ICIO database from 1998 to 2020,the paper empirically tests the impact of the two types of distortion network effects on in-dustrial value added fluctuation.The research reveals the following findings:Production networks can amplify and transmit tail risks across industries,leading to technical and allocation distortion network effects,with allocation distortion network effect having stronger negative impact on indus-trial value added fluctuation.Demand-side shocks in downstream industries are transmitted to the upstream industries through production networks,intensifying the impact of technical distortion network effects on upstream industries.Industries characterized by high technological sophistica-tion,balanced production network structures,and high substitution elasticity of intermediate goods are easier to resist risk shocks.During periods of extreme event shocks,the negative impacts of both the distortion network effects are more significant.The study suggests that policymakers should recognize the role of production networks in transmitting risks and take measures for risk prevention and mitigation to achieve economic stability.

Tail RiskProduction NetworkSector DistortionNetwork EffectsValue Add-ed Fluctuation

任俊帆、崔严心、许祥云

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南开大学 经济学院,天津 300071

安徽财经大学 国际经贸学院,安徽 蚌埠 233030

尾部风险 生产网络 部门扭曲 网络效应 增加值波动

2025

云南财经大学学报
云南财经大学

云南财经大学学报

北大核心
影响因子:0.679
ISSN:1674-4543
年,卷(期):2025.41(1)