在向可持续发展过渡的过程中,总和分类能源消耗对不同环境质量指标的影响是否会发生变化? 来自波形连贯性分析的证据
Ersin Yavuz1, Eren Ergen1, Tahsin Avci2
1Department of Public Finance, Pamukkale University, Denizli, Turkey.
Environmental science and pollution research international
|November 17, 2023
概括
中国中国中国中国.
科学领域:
- 环境科学 环境科学
- 能源经济学 能源经济学
- 可持续发展 可持续发展 可持续发展
背景情况:
- 中国严重依赖化石燃料,使其成为全球最大的污染国.
- 实现可持续发展目标 (SDG) -7和SDG-13需要了解能源对中国环境的影响.
- "2030年可持续发展议程"已经完成了一半,需要采取紧急的环境行动.
研究的目的:
- 调查中国各种能源消费类型对环境的影响.
- 使用波形连贯性分析能源消耗,GDP,人口和环境指标之间的关系.
- 为中国的可持续发展轨迹和环境政策提供见解.
主要方法:
- 波形连贯性分析 (WCA) 检查时间频率关系.
- 对初级能源消费 (PEC),化石能源消费 (FEC),可再生能源消费 (REC),核能消费 (NEC),GDP和人口 (POP) 的分析.
- 使用碳排放 (CO2),生态足迹 (EF) 和负载能力因子 (LCF) 作为环境指标进行评估.
主要成果:
- 大多数变量 (PEC,FEC,NEC,GDP) 增加CO2和EF,同时减少LCF.
- 可再生能源消耗 (REC) 是唯一一个积极影响环境质量 (LCF) 和减少污染 (CO2,EF) 的因素.
- 在初级能源消耗和环境指标之间存在双向因果关系,与REC不同.
结论:
- 可再生能源对于改善中国的环境质量和实现可持续性至关重要.
- 减少对化石燃料的依赖和加快REC投资对于中国的生态赤字至关重要.
- 核能政策需要审查,以支持碳中和目标.
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