在G20国家中,技术效率门和可持续发展:人工智能的调节作用
Olfa Zarrad1, Mariem Bouattour2, Thouraya Jaballah3
1Department of Finance, College of Business, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Journal of environmental management
|November 5, 2025
概括
研究和开发 (R&D),人工智能 (AI) 和可再生能源 (RE) 根据R&D效率值不同地影响绿色增长. 通过人工智能提升的更高效率,为20国集团的可持续发展带来了积极的影响.
科学领域:
- 环境经济学环境经济学
- 可持续发展研究 可持续发展研究
- 技术创新分析 技术创新分析
背景情况:
- 对可持续发展的研发,人工智能和可再生能源的兴趣日益增长.
- 对它们非线性,依赖值的关系进行的研究有限.
- 需要分析人工智能在能源转型中的转型作用.
研究的目的:
- 检查G20经济体的研发,人工智能,再生能源和绿色增长之间的非线性关系.
- 确定调整这些关系的研发效率值.
- 研究AI在增强研发和再生能源对可持续发展的影响中的作用.
主要方法:
- 面板平滑过渡自回归 (PSTAR) 模型用于非线性动力学.
- 对2000-2023年G20数据的分析.
- 系统通用时刻方法 (GMM) 用于稳定性检查.
主要成果:
- 确定了三个影响绿色增长的研发效率值 (-1.057, -0.057, 0.185).
- 低研发效率制度显示研发和可再生能源的影响有限或负面.
- 通过人工智能增强的高研发效率制度产生了显著的积极影响.
- 二氧化碳排放阻碍了研发效率,而人工智能则放大了效率.
结论:
- 在研发,人工智能,再生能源和绿色增长之间存在非线性,依赖值的关系.
- 人工智能和创新能力对于实现研发和可再生能源的好处至关重要.
- 在G20国家中为综合创新和可持续性战略提供政策指导.
- 支持绿色增长的库兹内茨曲线,其好处超出了关键值.
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