还原(数学)
中国
心理学
认知心理学
政治学
数学
几何学
法学
作者
Jian Hou,Wei Kang,Yao Li,Shuming Liang,Shuaishuai Geng
出处
期刊:SAGE Open
[SAGE Publishing]
日期:2024-10-01
卷期号:14 (4)
被引量:1
标识
DOI:10.1177/21582440241304462
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI