Liu Zhenyuan, Du Shiyi, Zhang Lu, Xie Jialong, Wang Xiuting
School of Entrepreneurship, Wuhan University of Technology, 430070, Wuhan, China; Institute of Standardization for Talent Development, Wuhan University of Technology, 430070, Wuhan, China.
School of Entrepreneurship, Wuhan University of Technology, 430070, Wuhan, China.
J Environ Manage. 2025 Jan;373:123824. doi: 10.1016/j.jenvman.2024.123824. Epub 2024 Dec 30.
The global situation of carbon reduction is very severe, and the coupling of digital and green technology innovation is one of the most significant approaches to promoting regional low-carbon transformation. A coupling evaluation model is employed to assess the coupling index between digital technology innovation and green technology innovation in China's 30 provinces from 2011 to 2021. The STIRPAT model is used to examine the impact of the increasing coupling index on carbon emissions, as well as its spatial effects, and heterogeneity. The results reveal that: (1) Recently, China has made remarkable strides in digital and green technology innovation. Nonetheless, there has been a decline trend in the average coupling level between these two, with slightly higher coupling levels observed in the central and western regions compared to the eastern coastal areas. (2) Green technology innovation has a significantl positive effect on carbon emissions, while digital innovation technology has an unstable negative impact on carbon emissions. (3) The increasing coupling index of green and digital technology innovation can substantially cut carbon emissions. The effects of different technological innovation levels and their coupling degree on carbon emissions show regional heterogeneity. (4) Coupling index and carbon emissions exhibit a notable spatial autocorrelation. Enhancing the local coupling index will result in a regional spillover effect on the carbon emission levels of surrounding regions. This study puts forward suggestions for increasing capital investment in digital and green technology innovation and optimizing the policy support environment for their integration and synergy, so as to lay the groundwork for advancing the national low-carbon transformation and hastening the attainment of "dual-carbon" goals.
全球碳减排形势严峻,数字技术与绿色技术创新耦合是推动区域低碳转型的重要途径之一。运用耦合评价模型对2011—2021年中国30个省份数字技术创新与绿色技术创新的耦合指数进行测度。采用STIRPAT模型考察耦合指数提升对碳排放的影响及其空间效应和异质性。研究结果表明:(1)近年来,中国在数字技术与绿色技术创新方面取得显著成效,但二者平均耦合水平呈下降趋势,中西部地区耦合水平略高于东部沿海地区。(2)绿色技术创新对碳排放有显著正向影响,数字技术创新对碳排放的负向影响不稳定。(3)绿色技术与数字技术创新耦合指数提升能显著降低碳排放,不同技术创新水平及其耦合程度对碳排放的影响存在区域异质性。(4)耦合指数与碳排放存在显著空间自相关性,提升本地耦合指数会对周边地区碳排放水平产生区域溢出效应。本研究提出加大数字技术与绿色技术创新资本投入、优化二者融合协同政策支持环境的建议,为推进国家低碳转型、加快实现“双碳”目标奠定基础。