中国电力行业碳排放减少效率的评估和空间融合:基于三阶段的DEA模型,具有游戏交叉效率
1School of Economics and Management, Anhui Normal University, Wuhu 241002, China.
The Science of the total environment
|October 16, 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:
- 实现中国的可持续发展需要大幅减少碳排放.
- 电力行业是评估碳减排战略的关键部门.
研究的目的:
- 开发一个框架来衡量中国电力行业的碳减排效率 (CEREs).
- 分析碳排放量减少量 (CERA) 和CERE的时间和空间特征.
- 评估外部因素和区域竞争对CERE测量的影响.
主要方法:
- 制定了一个整合热能和清洁能源生产的框架.
- 构建了一个具有游戏交叉效率的三阶段数据包裹分析 (DEA) 模型.
- 从2010年到2020年为30个中国省份计算CERE.
- 进行了时间,空间和趋同分析.
主要成果:
- 中国的碳减排量 (CERA) 增加,但减排结构的区域差异仍然存在.
- 平均CERE在0.485到0.737之间,中国西南地区显示2016年后的最高值.
- 三阶段的DEA模型通过减轻外部影响来准确地测量CERE.
- 由于能源结构,工业升级和政府政策,CERE展示了空间融合.
结论:
- 在中国减少碳排放的努力中存在显著的区域差异.
- 拟议的DEA模型为评估碳排放减少效率提供了一种可靠的方法.
- 优化能源结构,工业升级和政府干预对于增强CERE和实现可持续发展至关重要.
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