摘要
明晰碳价影响因素网络变化,有助于发现中国碳市场现阶段的主要风险源及风险传染特征,对维持碳价稳定与推动经济社会绿色低碳发展有着重大的理论及实践意义。本文基于格兰杰因果检验,构建了含有20个指标的碳价影响因素风险网络。首先通过网络拓扑性质,识别关键性指标,分析网络结构,然后利用k-core算法对网络进行分层分析及传播动力学分析,最后运用最小树形图筛选网络连边,分析指标间的风险传染路径。结果表明:全国碳市场运行后,国际碳价与国外经济形势处于风险网络的核心位置,有着较强的风险传染能力;网络整体风险传染能力减弱,风险传染范围变窄,传染速度变慢;网络的层次变浅,风险更易感知;利率与汇率中介作用显著减弱,而中国大庆原油现货价格有着较强的中介作用。
Clarifying the changes in the network of factors influencing carbon prices can help identify the main risk sources and risk contagion characteristics of China's carbon market at this stage,which has significant theoretical and practical significance for maintaining carbon price stability and promoting green and low-carbon economic and social development.This article constructs a carbon price risk network with 20 indicators based on Granger causality test.Firstly,key indicators are identified through network topology properties,and network structure is analyzed.Then,the k-core algorithm is used to further analyze the network hierarchy and propagation dynamics.Finally,the minimum tree graph is used to filter network edges and study the risk transmission path be⁃tween indicators.The results indicate that after the operation of the national carbon market,the international carbon price and fo⁃reign economic situation are at the core of the risk network,with a strong risk contagion ability.The overall risk contagion ability of the network has weakened,the scope of risk contagion has narrowed,and the speed of contagion has slowed down.The level of the network has become shallower,and the risks are more easily perceived.The mediating effect between interest rates and exchange rates has significantly weakened,while the spot price of Daqing crude oil in China has a strong mediating effect.
作者
徐玉华
刘梦娜
王浚丞
Xu Yuhua;Liu Mengna;Wang Juncheng(School of Statistics and Data Science,Nanjing Audit University,Nanjing 211815,China;School of Finance,Nanjing Audit University,Nanjing 211815,China)
出处
《工业技术经济》
北大核心
2024年第4期25-35,共11页
Journal of Industrial Technological Economics
基金
江苏省研究生科研创新项目“基于复杂网络理论的我国金融市场风险传染与管理研究”(项目编号:KYCX22_2103)
国家自然科学基金项目“非线性时间序列的动力系统表征、分析与控制”(项目编号:61673221)
国家自然科学基金专项项目“海量异构金融数据协同建模与机器学习”(项目编号:72342019)
江苏省高校自然科学基金重大项目“金融时间数据的复杂系统重构与数据挖掘”(项目编号:20KJA120002)
国家社会科学基金重大项目“中国式现代化的统计监测评价问题研究”(项目编号:23&ZD036)。
关键词
复杂网络
碳排放权价格
风险传染
格兰杰因果检验
网络结构
统计特征
complex network
carbon emission right price
risk transmission
Granger causality test
network structure
statistical characteristics