Gao Pengfei, Wang Yadong, Zou Yi, Su Xufeng, Che Xinghui, Yang Xiaodong
School of Marxism, Xinjiang University, Ürümqi, China.
School of Marxism, Liaoning Petrochemical University, Fushun, China.
Front Psychol. 2022 Jul 26;13:951172. doi: 10.3389/fpsyg.2022.951172. eCollection 2022.
Compared with traditional technological innovation modes, green technology innovation is more targeted for low carbon development and critical support for countries worldwide to combat climate change. The impact of green technology innovation on carbon emissions is considered in terms of fixed effect and mediating effect models through industrial structure upgrading. For this purpose, the sample dataset of 30 provincial administrative areas in China from 2008 to 2020 is employed. The results demonstrate that green technology innovation exerts significantly inhibitory effects on carbon emissions, whose conclusion still holds after removing municipalities and replacing the dependent variable. Industrial structure upgrading is vital for green technology innovation to diminish carbon emissions. There is significant regional heterogeneity in the effects of green technology innovation on carbon emissions, i.e., the direct and indirect impact of green technology innovation on carbon emission reduction is significant in the eastern-central area, but its effect is insignificant in the western region. Therefore, it is essential to realize carbon emission reduction by further bolstering green technology innovation and accelerating industrial structure upgrading to fulfill the synergy of technology and structure.
与传统技术创新模式相比,绿色技术创新更具低碳发展针对性,是全球各国应对气候变化的关键支撑。通过产业结构升级,从固定效应和中介效应模型的角度考量绿色技术创新对碳排放的影响。为此,采用了2008年至2020年中国30个省级行政区的样本数据集。结果表明,绿色技术创新对碳排放具有显著抑制作用,剔除直辖市并更换因变量后该结论依然成立。产业结构升级对绿色技术创新减少碳排放至关重要。绿色技术创新对碳排放的影响存在显著的区域异质性,即绿色技术创新对东部和中部地区碳排放减少的直接和间接影响显著,但在西部地区其影响不显著。因此,必须通过进一步加强绿色技术创新和加速产业结构升级来实现碳排放减少,以达成技术与结构的协同效应。