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我国经济增长质量的混频测度与货币政策调控方式转型 被引量:13

Mixed Frequency Measuring on China’s Economic Growth Quality and the Transformation of Monetary Policy Regulations
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摘要 当前,我国经济已由高速增长阶段转向高质量发展阶段,货币政策调控方式理应服务于经济高质量发展转变。本文首先基于混频动态因子模型测度我国的经济增长质量指数,进一步运用SV-TVP-FAVAR模型量化分析货币政策的经济增长质量效应。结果表明:我国经济增长质量具有一定阶段波动性,但整体呈现出上升态势,其走势符合我国经济既定事实;不同阶段不同货币政策的经济增长质量效应不同,货币政策调控存在冲击滞后异质性和冲击极值波动性;不同评价指标下,货币政策的经济增长质量调控效果存在差异,价格型货币政策为“多指标”评价体系下的最优政策选择。因此,货币当局应该合理利用不同货币政策的经济增长质量效应,构建“价主量辅”的混合型货币政策规则,引导我国经济迈向高质量发展。 China’s economy has been transitioning from a phase of rapid growth to a stage of high-quality development. Regulations on monetary policy should serve the transformation towards high-quality development. This paper measures the quality of China’s economic growth based on a mixed frequency dynamic factor model and quantifies the effect on the quality of economic growth of monetary policy with a SV-TVP-FAVAR model. The results show that: Firstly, China’s economic growth quality is generally on the rise, albeit with certain volatility, and its trend is in line with the Chinese economy;Secondly, different monetary policies have different impacts in different stages, and monetary policy regulation has heterogeneity in shock lag and volatility in extreme-value shocks;Thirdly, the effects of monetary policy are different with different evaluation indicators, and the price-based monetary policy is the optimal policy choice under the multi-index evaluation system. The central bank should utilize properly the economic growth quality effects of different monetary policies, construct a mixed monetary policy rule, and guide China’s economy to transition towards high-quality development.
作者 刘金全 张龙 张鑫 LIU Jinquan;ZHANG Long;ZHANG Xin(Jilin University,Changchun,China)
机构地区 吉林大学商学院
出处 《经济学动态》 CSSCI 北大核心 2019年第5期73-87,共15页 Economic Perspectives
基金 国家自然科学基金面上项目“经济新常态下经济增长的趋势性与收敛性研究”(71873042) 国家社会科学基金重大项目“引领经济发展新常态的市场基础、体制机制和发展方式研究”(15ZDC008) 中宣部文化名家暨“四个一批”人才项目“宏观经济政策分析与计量研究”的资助
关键词 货币政策 增长质量 调控方式 评价体系 Monetary Policy Growth Quality Regulation Method Evaluation System
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