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作 者:谭晶荣[1] 柳旭 陈林[1] 范娇娇 TAN Jingrong;LIU Xu;CHEN Lin;FAN Jiaojiao(School of Economics,Zhejiang University of Technology,Hangzhou 310023,China)
出 处:《科技与经济》2023年第4期11-15,共5页Science & Technology and Economy
基 金:国家社会科学基金项目——“中美贸易关系新形势下我国经济韧性与贸易高质量耦合联动的机理与实现路径研究”(项目编号:20BJY198,项目负责任人:谭晶荣)成果之一;浙江省教育厅一般科研项目——“新发展格局下贸易开放促进农户消费的机制政策研究”(项目编号:Y202248789,项目负责人:范娇娇)成果之一;浙江工业大学社会科学项目——“共同富裕目标下促进农户消费需求的对策研究”(项目编号:SKY-ZX-20220249,项目负责人:范娇娇)成果之一。
摘 要:基于中国工业行业机器人数据测算出30个省份的人工智能发展水平,运用多种计量模型实证研究人工智能对碳排放的影响。研究发现:人工智能可以显著抑制区域碳排放,该结论在进行稳健性检验和考虑内生性问题时依然成立;人工智能技术对碳排放的影响存在明显的区域异质性,只有东部地区的人工智能发展能显著抑制碳排放;机制检验表明人工智能通过引领产业结构升级和技术创新两条途径间接影响区域碳排放。为实现“双碳”目标,中国应加速人工智能技术与实体经济的结合,积极推动中部、西部地区的人工智能发展。Based on the robot data in China's industrial industry,this paper calculates the level of AI development in 30 provinces,and uses a variety of econometric models to empirically study the impact of artificial intelligence on carbon emissions.The findings are:first,AI can significantly curb regional carbon emissions,a conclusion that remains true when robustness tests are conducted and endogenous problems are considered;second,there is significant regional heterogeneity in the impact of artificial intelligence technology on carbon emissions,and only the development of artificial intelligence in the eastern region can significantly curb carbon emissions;third,the mechanism test shows that artificial intelligence indirectly affects regional carbon emissions by leading the upgrading of industrial structure and technological innovation.In order to achieve the“carbon peaking and carbon neutrality”goal,China'should accelerate the combination of artificial intelligence technology and the real economy,and actively promote the development of artificial intelligence in the central and western regions.
分 类 号:X322[环境科学与工程—环境工程] F426.67[经济管理—产业经济] F49
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