利用Beaudry and Portier的方法和模型,本文考察了中国股票价格中所包含的关于未来宏观经济状况的信息,同时也考察了该信息对中国宏观经济波动所产生的影响。模型的估计结果表明,能够利用结构向量误差修正模型中的短期条件识别出股票价...利用Beaudry and Portier的方法和模型,本文考察了中国股票价格中所包含的关于未来宏观经济状况的信息,同时也考察了该信息对中国宏观经济波动所产生的影响。模型的估计结果表明,能够利用结构向量误差修正模型中的短期条件识别出股票价格中所包含的关于宏观经济状况的信息,该信息是股票价格中所包含的与全要素生产率短期结构新息垂直的结构新息,该新息对全要素生产率和股票价格的影响与长期限制条件下的新息的影响是相似的,并且对全要素生产率具有持久性的影响。因此,在研究中国经济波动的过程中,信息冲击所带来的波动需要逐渐纳入考虑范围之内。展开更多
This paper analyzes whether the slowdown of China＇s trade in 2012-2015 was cyclical or structural, and further discusses the effects of structural factors, including trade structure, trade protectionism and global va...This paper analyzes whether the slowdown of China＇s trade in 2012-2015 was cyclical or structural, and further discusses the effects of structural factors, including trade structure, trade protectionism and global value chain participation, Using the national panel data from 2000 to 2015, based on the error correction model and import-intensity- adjusted demand model, our results show that the slowdown of China＇s trade growth in 2012-2015 was mainly a result of cyclical factors. Using 2000-2015 industry- level data, we also find that the structure of trade goods had an inhibitory effect on the import slowdown but a positive effect on the export slowdown. Trade protectionism had an adverse effect on the trade growth slowdown. The global value chain participation marginally contributed to the slowdown in trade growth. Therefore, the impacts of structural factors on trade growth slowdown cannot be ignored, and related policies should receive greater attention from policy-makers.展开更多
文摘利用Beaudry and Portier的方法和模型,本文考察了中国股票价格中所包含的关于未来宏观经济状况的信息,同时也考察了该信息对中国宏观经济波动所产生的影响。模型的估计结果表明,能够利用结构向量误差修正模型中的短期条件识别出股票价格中所包含的关于宏观经济状况的信息,该信息是股票价格中所包含的与全要素生产率短期结构新息垂直的结构新息,该新息对全要素生产率和股票价格的影响与长期限制条件下的新息的影响是相似的,并且对全要素生产率具有持久性的影响。因此,在研究中国经济波动的过程中,信息冲击所带来的波动需要逐渐纳入考虑范围之内。
文摘This paper analyzes whether the slowdown of China＇s trade in 2012-2015 was cyclical or structural, and further discusses the effects of structural factors, including trade structure, trade protectionism and global value chain participation, Using the national panel data from 2000 to 2015, based on the error correction model and import-intensity- adjusted demand model, our results show that the slowdown of China＇s trade growth in 2012-2015 was mainly a result of cyclical factors. Using 2000-2015 industry- level data, we also find that the structure of trade goods had an inhibitory effect on the import slowdown but a positive effect on the export slowdown. Trade protectionism had an adverse effect on the trade growth slowdown. The global value chain participation marginally contributed to the slowdown in trade growth. Therefore, the impacts of structural factors on trade growth slowdown cannot be ignored, and related policies should receive greater attention from policy-makers.
