人工智能如何加速能源转型? 从经合组织国家的实证经验中学习
1College of Economics and Management, Jingdezhen University, Jingdezhen, 333400, China.
Journal of environmental management
|July 4, 2025
概括
环境政策,人工智能和绿色创新大大促进了能源转型. 这项研究为通过这些关键驱动因素实现可持续发展目标,特别是SDG 7提供了经验框架.
科学领域:
- 环境经济学和环境政策
- 技术创新研究 技术创新研究
- 可持续发展研究 可持续发展研究
背景情况:
- 由于技术进步和经济扩张,全球能源转型正在加速,特别是在发达国家.
- 实现可持续发展目标 (SDGs),特别是SDG 7 (清洁和负担得起的能源),需要强有力的能源转型.
- 人工智能 (AI) 对能源转型的影响是一个日益感兴趣的领域,需要进一步的学术研究.
研究的目的:
- 实证地研究人工智能,绿色技术创新和气候政策之间的相互作用,以促进能源转型.
- 制定一个框架,以了解这些因素如何有助于实现SDG 7.
- 弥合有关人工智能和环境政策在能源转型中的具体作用的研究差距.
主要方法:
- 增加安德森和Hsiao (AAH) 估计策略的应用.
- 利用了经济合作与发展组织 (OECD) 各国的1990-2019年期间的数据.
- 经验分析的重点是环境政策的严格性,人工智能采用,绿色创新和能源转型指标之间的相关性.
主要成果:
- 环境政策的严格性对加速能源转型产生了显著的积极影响.
- 人工智能采用和绿色技术创新被发现与能源转型的进展有着强烈,积极的相关性.
- 该研究证实了政策,人工智能和创新在推动能源转型方面的协同效应.
结论:
- 强有力的环境政策是成功能源转型的关键驱动力.
- 人工智能和绿色技术创新是积极影响和加速能源转型过程的重要组成部分.
- 整合人工智能,促进绿色创新和实施严格的环境政策对于实现可持续发展目标7和更广泛的可持续发展目标至关重要.
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