理解中国经济周期波动:冲击源识别、成因贡献分解与政策效率评估Understanding China's Business Cycle Fluctuations: Shock Sources Identification, Cause Contribution Decomposition and Policy Efficiency Evaluation
刘金全,陈润东,隋艺
摘要(Abstract):
本文构建高维贝叶斯向量自回归模型,并采用具有因子结构的符号约束方法识别了7种主流经济冲击,包括国内需求冲击、国内供给冲击、国外需求冲击、国外供给冲击、金融冲击、财政政策冲击和货币政策冲击,并分析了这些冲击的内在属性、影响范畴及其对中国经济周期波动的贡献度。研究发现:第一,国内需求冲击和国内供给冲击对产出和通胀有直接影响,国外需求冲击主要通过贸易渠道影响中国经济,但国外供给冲击对中国经济的影响很小;第二,金融冲击,尤其是房地产价格冲击,对GDP、消费、投资等变量的影响程度最大,是引致中国经济周期波动的主要冲击源,国内供给冲击和国内需求冲击对产出波动也有重要贡献;第三,2010至2019年间,中国经济周期波动的缓和与内外部经济冲击的幅度减弱密切相关;第四,财政政策和货币政策对产出的影响具有时变特征,在应对重大负面冲击时,两者都能有效稳定经济增长。本文的研究为理解中国经济周期波动的成因复杂性及驱动因素提供了新的证据,也为中国经济“大缓和”现象提供了新的解释,并强调了财政货币政策在熨平经济波动方面的重要性。
关键词(KeyWords): 经济周期波动;经济冲击类型识别;向量自回归模型;符号约束方法
基金项目(Foundation): 国家社会科学基金重大项目“产业升级背景下中国经济周期的特征与形成机制研究”(25&ZD111);国家社会科学基金一般项目“生产网络视角下宏观经济波动的微观原因与政策应对研究”(24BJL049);; 广东省学科共建项目“广东省房地产价格趋势走向和区域异化的驱动因素、经济社会效应及政策调控模式选择研究”(GD22XYJ09)的资助
作者(Author): 刘金全,陈润东,隋艺
参考文献(References):
- 龚敏,李文溥.2007.中国经济波动的总供给与总需求冲击作用分析[J].经济研究,42(11):32-44.Gong M,Li W P.2007.Assessing the role of aggregate demand and supply shocks in China's macroeconomic fluctuation[J].Economic Research Journal,42(11):32-44.(in Chinese) 黄桂田,赵留彦.2010.供给冲击、需求冲击与经济周期效应:基于中国数据的实证分析[J].金融研究,(6):1-16.Huang G T,Zhao L Y.2010.Aggregate demand disturbances,aggregate supply disturbances and business cycles in China:An empirical study[J].Journal of Financial Research,(6):1-16.(in Chinese) 黄益平,徐诗语,余昌华,等.2024.生产网络视角下的中国经济周期[J].经济研究,59(9):42-61.Huang Y P,Xu S Y,Yu C H,et al.2024.Production networks and business cycles in China[J].Economic Research Journal,59(9):42-61.(in Chinese) 林建浩,王美今.2016.新常态下经济波动的强度与驱动因素识别研究[J].经济研究,51(5):27-40.Lin J H,Wang M J.2016.Intensity and driving forces of macroeconomic fluctuations in the new normal[J].Economic Research Journal,51(5):27-40.(in Chinese) 刘汉,王李俊,刘金全.2023.三重压力下经济下行的识别与溯源[J].经济科学,(6):5-27.Liu H,Wang L J,Liu J Q.2023.Identifying and tracing the sources of economic downturn under the “Threefold Pressure”[J].Economic Science,(6):5-27.(in Chinese) 刘尧成,吕昕.2018.中国经济波动的因素分解:金融冲击重要吗?[J].金融发展研究,(10):3-11.Liu Y C,Lü X.2018.Decomposition of factors in China's economic fluctuations:Is financial shock important?[J].Journal of Financial Development Research,(10):3-11.(in Chinese) 吕光明.2009.供求冲击与中国经济波动:基于SVAR模型的甄别分析[J].统计研究,26(7):20-27.Lü G M.2009.Demand & supply shocks and economic fluctuations in China:an identification based on structural VAR model[J].Statistical Research,26(7):20-27.(in Chinese) 谢申祥,初虹,刘金东.2024.地方公共债务与企业不动产投资:效应与机制[J].经济研究,59(4):43-59.Xie S X,Chu H,Liu J D.2024.Local public debt and corporate investment in housing:Effect and mechanism[J].Economic Research Journal,59(4):43-59.(in Chinese) 薛立国,张谊浩,马永远.2023.后危机时代中国“大稳健”的成因研究[J].经济评论,(6):3-22.Xue L G,Zhang Y H,Ma Y Y.2023.The causes of China's “Great Moderation” in post financial crisis era[J].Economic Review,(6):3-22.(in Chinese) 殷剑峰.2010.二十一世纪中国经济周期平稳化现象研究[J].中国社会科学,(4):56-73.Yin J F.2010.A study of the stabilization of China's business cycle in the twenty-first century[J].Social Sciences in China,(4):56-73.(in Chinese) 赵留彦.2008.供给、需求与中国宏观经济波动[J].财贸经济(3):59-65.Zhao L Y.2008.Supply and demand in China's macroeconomic fluctuations[J].Finance & Trade Economics,(3):59-65.(in Chinese) 祝梓翔,邓翔.2017.时变视角下中国经济波动的再审视[J].世界经济,40(7):3-27.Zhu Z X,Deng X.2017.A revisit of China's economic fluctuations from the perspective of time-varying analysis[J].The Journal of World Economy,40(7):3-27.(in Chinese) Abbate A,Eickmeier S,Prieto E.2023.Financial shocks and inflation dynamics[J].Macroeconomic Dynamics,27(2):350-378. Antolín-Díaz J,Rubio-Ramírez J F.2018.Narrative sign restrictions for SVARs[J].American Economic Review,108(10):2802-2829. Arias J E,Rubio-Ramírez J F,Waggoner D F.2018.Inference based on structural vector autoregressions identified with sign and zero restrictions:Theory and applications[J].Econometrica,86(2):685-720. Bai J S.2003.Inferential theory for factor models of large dimensions[J].Econometrica,71(1):135-171. Bean C.2010.The great moderation,the great panic,and the great contraction[J].Journal of the European Economic Association,8(2/3):289-325. Blanchard O J,Quah D.1989.The dynamic effects of aggregate demand and supply disturbances[J].The American Economic Review,79(4):655-673. Canova F,Paustian M.2011.Business cycle measurement with some theory[J].Journal of Monetary Economics,58(4):345-361. Chang C,Chen K J,Waggoner D F,et al.2016.Trends and cycles in China's macroeconomy[J].NBER Macroeconomics Annual,30(1):1-84. Cúrdia V,Woodford M.2010.Credit spreads and monetary policy[J].Journal of Money,Credit and Banking,42(S1):3-35. Furlanetto F,Ravazzolo F,Sarferaz S.2019.Identification of financial factors in economic fluctuations[J].The Economic Journal,129(617):311-337. Furlanetto F,Lepetit A,Robstad ??,et al.2025.Estimating hysteresis effects[J].American Economic Journal:Macroeconomics,17(1):35-70. Kilian L,Lütkepohl H.2017.Structural vector autoregressive analysis[M].Cambridge:Cambridge University Press. Korobilis D.2022.A new algorithm for structural restrictions in Bayesian vector autoregressions[J].European Economic Review,148:104241. Nakajima J.2011.Time-varying parameter VAR model with stochastic volatility:An overview of methodology and empirical applications[J].Monetary and Economic Studies,29:107-142. Rubio-Ramírez J F,Waggoner D F,Zha T.2010.Structural vector autoregressions:Theory of identification and algorithms for inference[J].The Review of Economic Studies,77(2):665-696. Uhlig H.2005.What are the effects of monetary policy on output?Results from an agnostic identification procedure[J].Journal of Monetary Economics,52(2):381-419. Upadhyaya K,Bhandari R,Mixon F G Jr.2020.Exchange rate volatility and its impact on China's trade with the United States[J].Economia Internazionale/International Economics,73(3):373-388.
- (1)在本文所有的脉冲响应函数结果分析中,深色实线都是中位数,灰色阴影部分为置信区间。