Does Digital-Intelligence Contribute to Carbon Emission Reduction? New Insights from China
Digital-intelligence plays an important role in transforming the energy consumption structure and promoting the emission reduction process. To explore the relationship between digital-intelligence and regional carbon emissions, we assume that there is a differential impact in carbon emission reduction effects, given the obvious differences in regional green technology innovation during the development of digital-intelligence in China. Thus, we systematically construct a new digital-intelligence system definition and include the heterogeneous threshold of green technology innovation in the relationship of the impact of digital-intelligence on carbon emissions by using a nonlinear dynamic threshold model. The results show that the development of regional digital-intelligence in China exhibits a relatively stable upward trend, and there is heterogeneity among regions. Interestingly, there is a significant heterogeneous threshold effect from green technology innovation between digital-intelligence and carbon emissions. A lower level of green technology innovation will increase the carbon emission effect of digital-intelligence to a certain extent, but when green technology innovation increases and exceeds a threshold, digital-intelligence is able to dramatically inhibit regional carbon emissions. Our research answers the question of how to achieve digital-intelligence transformation through green technology innovation and reduce total regional carbon emissions and provides new insights for developing countries to curb carbon emissions.
Authors
- Shuming Liang
- Shuaishuai Geng (ORCID: https://orcid.org/0000-0002-9869-6426)
- Jian Hou (ORCID: https://orcid.org/0000-0001-9949-1011)
- Yao Li (ORCID: https://orcid.org/0000-0001-6080-384X)
- Wei Kang (ORCID: https://orcid.org/0009-0001-6401-1441)
Institutions
- Xiamen University (CN)
- Henan Agricultural University (CN)
Publication Details
- Journal
- SAGE Open
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1177/21582440241304462
- Citations
- 8
- Primary Topic
- Energy, Environment, Economic Growth
- Type
- article
- Field-Weighted Citation Impact
- 9.03