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人工智能对碳排放效率的影响:来自中国的证据

Jie Wu¹, Tao Liu¹, Jiasen Sun²

¹School of Management, University of Science and Technology of China, Hefei, 230026, Anhui, China.

Environmental science and pollution research international

|December 4, 2023

概括

人工智能 (AI) 通过推动创新和工业升级,在中国显著提高了碳排放效率 (CEE). 市场化和政府干预也在这种关系中发挥着关键作用.

科学领域:

环境科学环境科学
经济学经济学经济学
技术研究技术研究

背景情况:

人工智能 (AI) 是一种具有广泛应用的变革性技术.
人工智能对环境的影响,特别是对碳排放效率 (CEE) 的影响,仍未得到充分研究.
了解人工智能在中东欧的作用对于中国的可持续发展至关重要.

研究的目的:

评估2006年至2019年30个中国省份的碳排放效率 (CEE).
调查人工智能 (AI) 对中东欧地区的影响机制.
分析市场化和政府干预对AI-CEE关系的温和效应.

主要方法:

利用全球超高效率基于宽松的模型 (SE-SBM) 来评估CEE.
使用人口,财富和技术 (STIRPAT) 模型的随机影响来分析AI的影响机制.
分析了中国30个省份2006-2019年间的数据.

主要成果:

工业机器人代理的人工智能 (AI) 在改善CEE方面表现出显著的积极影响.
人工智能通过促进技术创新和工业结构升级来增强中东欧和中东欧.
人工智能和中东欧国家的关系受到市场化程度和政府干预程度的调节.

结论:

人工智能采用是提高中国碳排放效率的可行策略.
政策干预应侧重于促进创新和工业转型,以最大限度地提高人工智能的环境效益.
考虑到市场动态和政府角色的定制战略对于优化人工智能对中东欧国家的贡献至关重要.

关键词:

人工智能的人工智能是人工智能.碳排放效率的提高碳排放效率的提高全球超效率SBM模型这就是STIRPAT模型.

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