非线性系统
捐赠
面板数据
阈值模型
碳纤维
还原(数学)
计量经济学
中国
点(几何)
机器人
比例(比率)
经济
环境科学
环境经济学
计算机科学
数学
物理
算法
人工智能
地理
几何学
哲学
考古
认识论
量子力学
复合数
作者
Bei Liu,Xiangyang Yang,Jingru Zhang
标识
DOI:10.1016/j.eiar.2023.107297
摘要
In the digital age, most state-of-the-art research has investigated the influence of industrial robot applications (IRAs) on labor and income distribution, but its environmental impact remains underexplored. This paper uses regional panel data in China from 2006 to 2017 to explore the nonlinear effect of IRAs on carbon emission (CE), as well as its optimal conditions by using fixed effect model with quadratic term and threshold regression model, respectively. The results show that: (1) An inverted U-shaped relationship was verified between IRAs and CE, which means when the IRAs exceed a certain threshold, carbon emissions will be curbed. (2) IRAs accelerate the advance of the inverted U-shaped turning point by improving the factor allocation efficiency and optimizing industrial structures. (3) The CE reduction effect of IRAs depends on the scale of the highly skilled labor force, digital endowment and environmental regulation intensity in the region. These conclusions not only broaden the theoretical horizon of existing effects of IRAs in the environmental fields, but also provide practical implications to maximize the carbon reduction effect in IRAs.
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