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环境库兹涅茨曲线的建模:使用经济和气候数据的随机方法
Rehana Ali Naqvi1, Bandar Almohsen2, Ayesha Sohail3
1Department of Economics, University of Wah, Wah Cantt, Pakistan.
Journal of environmental management
|January 3, 2025
概括
巴基斯坦 巴基斯坦 巴基斯坦.
科学领域:
- 环境经济学环境经济学
- 可持续发展 可持续发展 可持续发展
- 计量经济学 计量经济学
背景情况:
- 发展中国家的经济增长往往与工业化和对化石燃料的依赖导致的碳排放增加有关.
- 环境库兹涅茨曲线 (EKC) 假设表明,污染最初随着经济发展而上升,然后下降.
- 从1960年到2023年,巴基斯坦的经济发展轨迹显示出经历了停滞和衰退时期的增长.
研究的目的:
- 调查巴基斯坦经济扩张和碳排放之间的动态关系.
- 测试环境库兹涅茨曲线 (EKC) 假设在巴基斯坦环境中的适用性.
- 为经济政策与可持续发展目标保持一致提供见解.
主要方法:
- 利用结合式随机微分方程来建模经济增长与碳排放之间的相互作用.
- 采用差分进化算法进行模型优化.
- 分析了巴基斯坦GDP和碳排放的1960-2023年的时间序列数据.
主要成果:
- 该研究证实,巴基斯坦的发展道路与环境库兹涅茨曲线 (EKC) 假设一致.
- 确定了一个转折点,表明超过一定的经济发展水平,排放量预计将下降.
- 随机微分方程模型,通过差异演变优化,验证了巴基斯坦的EKC假设.
结论:
- 巴基斯坦的经济发展和碳排放呈现出一个反向的U形关系,支持EKC.
- 政策干预对于管理经济增长对环境的影响和实现可持续性至关重要.
- 调查结果为决策者提供了有价值的指导,以平衡经济进步与环境保护,以实现可持续的未来.
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