污染
污染物
中国
高效能源利用
机器人
环境经济学
稳健性(进化)
环境污染
自然资源经济学
环境科学
经济
环境工程
环境保护
计算机科学
工程类
生态学
地理
人工智能
考古
电气工程
有机化学
化学
基因
生物
生物化学
作者
Wei Zhou,Zhuang Yan,Yan Chen
标识
DOI:10.1016/j.eneco.2024.107355
摘要
Artificial intelligence (AI) can revolutionize production process by improving energy efficiency, reducing costs, and developing green technology. Among the most important applications of AI technology, industrial robots are increasingly being used in production and have become significant feature of high-quality ecinomic development. Concerning this issue, this study uses the provincial panel data from China from 2010 to 2019 to explore how adopting industrial robots affects regional pollution emissions. We find that industrial robots significantly reduce the pollution emissions intensity in various provinces of China, and this conclusion holds following a series of robustness tests. Mechanism analysis shows that industrial robots reduce pollutant emissions intensity by improving energy efficiency and enhancing pollution reduction technologies. Heterogeneity analyses reveal that industrial robots significantly reduce pollution emissions intensity in the eastern and western regions of China, as well as in regions outside the Yangtze River Economic Belt, while this effect is significant for the central region and the Yangtze River Economic Belt. Industrial robots primarily promote pollution reduction in the eastern region, rather than enhancing regional energy efficiency. For the western region and regions outside the Yangtze River Economic Belt, the reduction in pollution emissions intensity appears to be attributable to both mechanisms. The above findings enrich the study on the impact of industrial robots on green production behavior and provide insights into pollution emissions control for some provinces of China.
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