人工智能驱动的绿色创新促进可持续发展:从印度可再生能源转型的实证见解
Biswanath Behera1, Puspanjali Behera1, Ugur Korkut Pata2
1Department of Humanities and Social Sciences, National Institute of Technology Rourkela, Rourkela, 769008, Odisha, India.
Journal of environmental management
|June 20, 2025
概括
人工智能 (AI) 和绿色技术创新 (GTI) 显著推动了印度的绿色增长,而单独的可再生能源发电 (REG) 影响最小. 人工智能增强了REG和GTI的有效性,这对于实现可持续发展目标 (SDGs) 至关重要.
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:
- 印度的可持续发展越来越多地与技术进步有关.
- 将国家进步与全球可持续发展目标 (SDGs) 保持一致,需要了解绿色增长的关键驱动因素.
- 人工智能 (AI),绿色技术创新 (GTI) 和可再生能源发电 (REG) 之间的相互作用对印度的环境和经济发展轨迹至关重要.
研究的目的:
- 调查AI,GTI和REG对印度可持续发展和绿色增长的直接和温和影响.
- 评估这些技术与特定的可持续发展目标 (SDG) 的协调程度,包括SDG7,SDG8,SDG9和SDG13.
- 为利用人工智能提供政策建议,以提高可持续性成果.
主要方法:
- 利用印度1987年至2020年的时间序列数据.
- 应用了动态自回归分布式滞后 (ARDL) 模拟方法来分析长期关系.
- 研究了AI,GTI和REG对绿色增长的直接影响和相互作用影响,并使用KRLS估计器进行了稳定性检查.
主要成果:
- 单独可再生能源发电 (REG) 对绿色增长的影响微不足道 (0.073%).
- 人工智能 (AI) 和绿色技术创新 (GTI) 显著促进了长期绿色增长,分别贡献了0.241%和0.163%.
- 人工智能显著提高了REG (交互系数:0.017%) 和GTI (交互系数:0.041%),支持清洁能源转型和气候行动的有效性.
结论:
- 人工智能是印度绿色增长的关键催化剂,扩大了可再生能源和绿色技术创新的积极影响.
- 人工智能在能源和创新政策中的战略整合对于印度实现其可持续发展目标至关重要.
- 建议采取协调方法,重点关注数字化转型,技术融资和机构支持,以实现低碳,创新驱动的经济.
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