摘要
中国宏观经济数据表明,存货总投资对解释GDP波动具有非常重要的作用。进一步利用采购经理人指数(PMI)数据对产成品存货投资和原材料存货投资进行研究,本文发现前者具有逆周期性,而后者表现出顺周期性。本文构建了一个具有产成品和原材料两种存货的动态宏观模型。利用贝叶斯动态方法,对模型进行了整体估计。结果表明,模型动态很好地解释了数据中的经验事实;两类存货投资的周期性特征主要源于最终需求冲击,该结论印证了2008年金融危机中,需求大幅回落是造成中国经济波动的最主要因素。
Chinese maeroeconomic data show that the inventory investments play an important role in explaining output volatility. Using PMI dataset, we further investigate inventory investments for both final goods and material goods. We find that the former series is counter-cyclical, while the latter is pro-cyclical. We then construct a dynamic model with both type of inventories. Upon dynamic Bayesian estimation, Results find that: ( 1 ) the model can explain empirical findings quite well, and (2) fluctuations of inventory investments are mainly caused by demand shocks.
出处
《经济研究》
CSSCI
北大核心
2012年第8期81-92,共12页
Economic Research Journal
基金
上海财经大学数理经济学教育部重点实验室资助项目
Hong Kong Research Grants Council项目(批准文号643908)支持
关键词
存货周期
中国经济波动
存货投资
采购经理人指数
贝叶斯估计
Inventory Cycle
Chinese Business Cycle
Inventory Investment
Purchasing Manager Index
BayesianEstimation