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基于区间转换模型的区域性金融风险溢出效应分析

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以国内大循环为主体、国内国际双循环相互促进的新发展格局的快速构建,使各地区的金融交易往来日益频繁.然而在各地区域性金融风险事件频发的背景下,越发紧密的金融交易网络增加了区域性金融风险跨区域传播的可能,对规避系统性金融风险的发展带来了一定的负面影响.基于此,构建区域性金融风险指数对中国除港澳台外的31个省份的风险状况进行测量,并通过风险溢出网络的方法测量各区域之间的风险溢出程度.最后,基于区间转换模型分析不同宏观背景下,各省市区域性金融风险的溢出关系并进一步讨论分析.研究结果表明,相对于发达省份而言,东北地区和西部地区等经济欠发达地区的省份更容易面临较为严重的区域性金融风险压力.同时风险溢出网络结果也表明,东北地区和西部地区等区域性金融风险较大的省份往往表现为风险净输入者.除此之外,当宏观经济处于低经济景气或具有较高的经济政策不确定性时,区域性金融风险溢出总效应有显著提高.各省市之间的风险溢出效应会发生变化,其中,中部地区无论在何种宏观经济状态下都具有较强的风险溢出效应,而西部地区则更多扮演着接受风险溢出的角色.东北地区在不同情况表现差异较大.另外东部地区在经济状况良好时,对其余省份的风险溢出更明显,而在经济状况较差时,则起到吸收风险的作用.产生差异的原因主要在于各区域金融发展的不平衡和区域自身产业结构的特点.研究为监管者在不同宏观环境下调整相关政策、强化宏观审慎管理提供了具体科学依据,有助于更好地理解中国区域性金融风险的传染机制.
Analysis of Regional Financial Risk Spillover Effect Based on Regime Switching Model
The rapid construction of a dual circulation development pattern in which the domestic economic cycle plays a lead-ing role while the international economic cycle remains its extension and supplement promoting each other has made financial transactions in various regions increasingly frequent.However,under the background of the frequent occurrence of regional financial risk events in various places,the increasingly close financial transaction network increases the possibility of regional financial risk transmission across regions,which has caused a certain negative impact on the development of avoiding system-ic financial risks.Therefore,this study constructs a regional financial risk index to measure the risk of the remaining 31 provinces in China except Hong Kong,Macao,and Taiwan.This study also measures the degree of risk spillover between each region through the method of risk spillover network.Finally,based on the regime switching model,this study further discusses and analyzes the spillover relationship of regional financial risks in various provinces and cities under different macro backgrounds.This study finds that economically underdeveloped provinces such as the northeast and western regions are more likely to face severe regional financial risk pressures than developed provinces.At the same time,the results of the risk spillover net-work also show that provinces with greater regional financial risks,such as the northeast and western regions,often exhibit net risk importers.In addition,when the macroeconomic situation is low or with high economic policy uncertainty,the overall ef-fect of regional financial risk spillovers will increase significantly.The risk spillover effect among different provinces and cit-ies will also change,with the central region having a strong risk spillover effect regardless of the macroeconomic state,while the western region plays a more important role in accepting risk spillover.The northeast region has a wide range of perform-ances in different situations.In addition,risk spillovers to the remaining provinces are more pronounced in the eastern region when the economic situation is good.However,it plays a role in absorbing risks from other provinces when the economic situ-ation is poor.This study argues that the reasons for the differences are mainly due to the imbalance of financial development in various regions and the characteristics of their industrial structures.This study provides a specific scientific basis for regulators to adjust relevant policies and strengthen macro-prudential management in different macro environments.It also helps regulators to better understand the contagion mechanism of region-al financial risks in China.

regional financial riskrisk spillover effecteconomic climateeconomic policy uncertaintyregime switching mod-el

董明华、张佳芸、熊熊

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天津大学管理与经济学部,天津 300072

天津大学中国社会计算研究中心,天津 300072

区域性金融风险 风险溢出效应 经济景气 经济政策不确定性 区间转换模型

国家自然科学基金

72141304

2024

管理科学
哈尔滨工业大学管理学院

管理科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.688
ISSN:1672-0334
年,卷(期):2024.37(1)