文章基于我国2000~2022年中国31个省级的面板数据,建立向量自回归模型,运用格兰杰因果检验、脉冲响应函数分析与方差分解等方法研究了技术创新、能源消耗与劳动者报酬三者之间的动态交互机制。实证结果表明:技术创新、能源消耗与劳动者...文章基于我国2000~2022年中国31个省级的面板数据,建立向量自回归模型,运用格兰杰因果检验、脉冲响应函数分析与方差分解等方法研究了技术创新、能源消耗与劳动者报酬三者之间的动态交互机制。实证结果表明:技术创新、能源消耗与劳动者报酬三者的发展水平高度依赖自身,同时能源消耗与劳动者报酬之间存在明显的替代效应,而技术创新水平受到能源消耗与劳动者报酬的双重影响。This article is based on panel data from 31 provinces in China from 2000 to 2022, and establishes a VAR model. The dynamic interaction mechanism between technological innovation, energy consumption, and labor compensation is studied using methods such as Granger causality test, impulse response function analysis, and variance decomposition. The empirical results indicate that the development level of technological innovation, energy consumption, and labor remuneration highly depends on themselves. At the same time, there is a clear substitution effect between energy consumption and labor remuneration, and the level of technological innovation is also influenced by the dual effects of energy consumption and labor remuneration.展开更多
文摘文章基于我国2000~2022年中国31个省级的面板数据,建立向量自回归模型,运用格兰杰因果检验、脉冲响应函数分析与方差分解等方法研究了技术创新、能源消耗与劳动者报酬三者之间的动态交互机制。实证结果表明:技术创新、能源消耗与劳动者报酬三者的发展水平高度依赖自身,同时能源消耗与劳动者报酬之间存在明显的替代效应,而技术创新水平受到能源消耗与劳动者报酬的双重影响。This article is based on panel data from 31 provinces in China from 2000 to 2022, and establishes a VAR model. The dynamic interaction mechanism between technological innovation, energy consumption, and labor compensation is studied using methods such as Granger causality test, impulse response function analysis, and variance decomposition. The empirical results indicate that the development level of technological innovation, energy consumption, and labor remuneration highly depends on themselves. At the same time, there is a clear substitution effect between energy consumption and labor remuneration, and the level of technological innovation is also influenced by the dual effects of energy consumption and labor remuneration.