摘要
文章基于我国30个省份2009—2019年的面板数据,分析货币政策、人工智能水平与劳动收入份额之间的传导路径。结果表明:货币政策和人工智能水平均对劳动收入份额产生正向冲击效应;短期内货币政策与人工智能水平的良性互动机制初步显现,但长效机制尚未形成。分区域来看,东、中、西部地区的货币政策实施与人工智能发展水平存在差异,二者对劳动收入份额的影响存在异质性;货币政策与人工智能水平交叉项对东中部地区劳动收入份额的影响显著为正,对西部地区劳动收入份额的影响显著为负。
This paper is based on panel data of 30 provinces in China from 2009 to 2019 to analyze the transmission path between monetary policy, artificial intelligence level and labor income share. The results are shown as below: Both monetary policy and artificial intelligence have positive impact on labor income share The benign interaction mechanism between monetary policy and artificial intelligence level has initially emerged in the short term, but the long-term mechanism has not yet been formed. By Region, there are differences between the implementation of monetary policy and the development level of artificial intelligence in the eastern, central and western regions, and they both have different effects on labor income share. The cross term of monetary policy and artificial intelligence level has a significant positive impact on the labor income share in eastern and central China, and a significant negative impact on the labor income share in western China.
作者
薛莹
Xue Ying(School of Economics,Peking University,Beijing 100871,China)
出处
《统计与决策》
CSSCI
北大核心
2021年第19期143-148,共6页
Statistics & Decision
基金
国家社会科学基金资助项目(19BZZ009)。
关键词
货币政策
人工智能水平
劳动收入份额
动态面板计量模型
monetary policy
artificial intelligence level
labor income share
dynamic panel econometric model