主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

• •    

中国宏观金融风险传染机制分析

宫晓莉, 卢晓彤, 熊熊   

  1. 青岛大学经济学院, 266000
  • 收稿日期:2023-07-25 修回日期:2026-08-04 接受日期:2026-08-05
  • 通讯作者: 宫晓莉
  • 基金资助:
    国家自然科学基金面上项目(72271135); 国家自然科学基金重大专项项目(72141304); 国家自然科学基金重大项目(71790594)

Analysis of China's Macro-financial Risk Contagion Mechanism

  1. , 266000,
  • Received:2023-07-25 Revised:2026-08-04 Accepted:2026-08-05

摘要: 在金融市场互联互通机制不断加深的背景下,金融风险转化为系统性风险的可能性不断加大。为厘清宏观金融网络的风险传导机制,本文运用未定权益分析法对各宏观经济部门资产负债表风险进行测度,同时对省级部门的金融风险指标也进行了测算。随后,利用复杂网络分析法构建部门间资金存量矩阵,对宏观金融网络的风险传导机制进行分析,模拟测算了宏观经济部门之间的风险传染效应。研究结果表明,CCA模型可以对各部门风险状况进行较为全面的测评且具有一定的前瞻性和预警性。虽然宏观上各部门风险指标保持在正常水平,但是省级指标显示西部地区及东北地区发生金融风险的可能性要高于东部地区及中部地区,并且,随着政府部门负债的增加,各地区政府部门的违约风险也有所上升。另外,通过对风险传染机制进行梳理发现,金融部门处于宏观金融网络的中枢地位,更容易受到其他部门风险冲击而遭受损失,且各部门所遭受的损失会在风险多轮传染的作用下层层累积。研究结果对调整各宏观经济部门资产负债结构,防范化解局部风险转化为系统性风险,提升我国宏观经济整体稳健性具有重要的启示作用。

关键词: 宏观金融网络, CCA模型, 风险传染, 国家资产负债表

Abstract: In the context of deepening financial market connectedness, the possibility of financial risks being transformed into systemic risks is increasing. In order to clarify the risk transmission mechanism of macro-financial networks, this paper uses the CCA model to measure the balance sheet risks of macroeconomic departments, and also measures the financial risk indicators of provincial departments. Then, the network analysis method is used to construct the inter-departmental capital stock matrix to analyze the risk transmission mechanism of the macro-financial network, and measure the risk contagion effect between macroeconomic departments. The results show that the CCA model can comprehensively evaluate the risk status of macroeconomic departments, and has a certain forward-looking and early warning nature. Although the risk indicators of macroeconomic departments remain at normal levels, provincial indicators show that the probability of financial risks in the western region and northeast region is higher than that in the eastern and central regions. Besides, as the debt of government departments increases, the default risk of government departments in various regions also increases. In addition, by sorting out the risk contagion mechanism, it is showed that the financial sector is at the center of the macro-financial network, which is greatly affected by risk shocks, and risk contagion mechanism also showed that the losses, suffered by various departments, will accumulate layer by layer under the effect of risk contagion. The research results have an important enlightenment effect on adjusting the asset and liability structure of macroeconomic departments, preventing and resolving local risks from becoming systemic risks, as well as improving the overall soundness of China's macroeconomy.

Key words: macro-financial networks, CCA model, risk contagion mechanisms, national balance sheet