摘要
随着新一轮科技革命和产业变革的深入推进,人工智能技术在应对气候变化方面扮演重要角色,并赋能“碳达峰、碳中和”目标的实现。利用2006—2019年中国内地省级面板数据,考察人工智能技术对碳排放的影响。研究发现:人工智能技术与碳排放之间呈倒U型关系,即当人工智能技术达到一定阈值后,其碳减排效应逐渐凸显;人工智能技术主要通过提高能源利用效率实现碳减排;在东部和西部地区,人工智能技术与碳排放之间存在显著倒U型关系,而在中部地区,人工智能技术对碳排放发挥持续促进作用。因此,在推进“双碳”目标过程中,需要以绿色低碳发展为目标开发人工智能技术,正确引导人工智能在碳减排领域的研发应用,针对不同区域实际制定差异化发展政策。
To actively address the issue of climate change, China has proposed a vision of "emission peak and carbon neutrality". Achieving "emission peak and carbon neutrality" is a comprehensive and profound economic and social systemic change that requires the joint efforts of the whole society. As a strategic technology for technological revolution and industrial change, Artificial Intelligence(AI) technologies will play an important role in addressing climate change and bring significant opportunities for low-carbon development. The process of achieving the "double carbon goal" is essentially a path of transformation to technology-intensive industry. However, the relationship between AI technologies and carbon emissions has been relatively under-discussed in academia compared to the much attention at the policy level and the flourishing development at the practical level. In particular, AI technologies may exhibit a more complex dual effect on carbon emissions. In view of this, this paper answers the question of whether AI technology can enable carbon neutrality and help reduce CO2emissions. What are the mechanisms of AI technologies affecting carbon emissions? Are there any regional differences in the effect of AI technologies on carbon emissions? The purpose of this paper is to provide empirical evidence for the carbon reduction effect of AI technologies and to provide useful policy insights for achieving the goal of "double carbon".In terms of theoretical research, this paper believes that the impact of AI technologies on carbon emissions may have a dual effect.On one hand, AI can increase total carbon emissions through direct energy consumption.At the same time, AI technology on carbon emissions may have a rebound effect.In addition, AI technologies has scale effect on economic growth, which will lead to the increase of total regional carbon emissions. On the other hand, AI technology can reduce carbon emissions by assisting decision-making, reshaping production and life styles, and facilitating low-carbon technolo
作者
薛飞
刘家旗
付雅梅
Xue Fei;Liu Jiaqi;Fu Yamei(School of Applied Economics,University of Chinese Academy of Social Sciences,Beijing 102488,China;School of Economics&Management,Northwest University,Xi′an 710127,China;School of Statistics,Xi'an University of Finance and Economics,Xi′an 710100,China)
出处
《科技进步与对策》
CSSCI
北大核心
2022年第24期1-9,共9页
Science & Technology Progress and Policy
基金
中国社会科学院京津冀协同发展智库基础研究项目(2020G02)
中国社会科学院大学(研究生院)研究生科研创新支持计划项目(2022-KY-117)。
关键词
人工智能技术
碳排放
能源利用效率
倒U型关系
Artificial Intelligence Technology
Carbon Emissions
Energy Efficiency
Inverted U-shaped Curve Relationship
