Table 2 Summary of empirical research related to AI environmental effects.
Author, time | Research period | Research object | Explanatory variable | AI data | Main findings |
|---|---|---|---|---|---|
AI-Carbon emissions nexus | |||||
(Yu et al., 2022) | 2010–2018 | China City | Robot | IFR | Robots reduce carbon emissions |
(Luan et al., 2022) | 1993–2019 | 74 countries | Robot | IFR | Robots increase air pollution |
(Wang et al., 2023a) | 2008–2019 | China City | Robot | IFR | Robots reduce carbon emissions |
(Jiang et al., 2022) | 2003–2016 | Chinese industry | Robot | IFR | Robots reduce manufacturing carbon emissions |
(Song et al., 2023) | 2000–2013 | 41,419 Chinese companies | Robot | IFR | Robots decrease carbon emissions |
(Ding et al., 2023) | 2006–2019 | 30 Chinese provinces | AI | AI index | AI reduces carbon emissions |
(Zhong et al., 2023) | 1993–2019 | 66countries | AI | IFR | AI reduces carbon emissions |
AI-Carbon intensity nexus | |||||
(Liu et al., 2022a) | 2005–2016 | Chinese industry | AI | IFR | AI reduces carbon intensity |
(Zhang et al., 2022) | 2008 to 2019 | Chinese industry | AI | IFR | AI reduces carbon intensity |
(Li et al., 2022b) | 1993 to 2017 | 35 countries | Robot | IFR | Robots reduce carbon intensity |
(Chen et al., 2022a) | 2011 to 2017 | China City | Robot | IFR | Robots reduce carbon intensity |
AI-Ecological footprint nexus | |||||
(Chen et al., 2022b) | 1993 to 2019 | 72 countries | Robot | IFR | Robots reduce ecological footprint |
AI-Energy transition nexus | |||||
(Wang et al., 2024b) | 1993 to 2019 | 69 countries | AI | IFR | AI promotes energy transition |
