| 公平视角下中国区域碳排放时空演变及其影响因素 |
| 摘要点击 261 全文点击 4 投稿时间：2025-01-05 修订日期：2025-06-10 |
| 查看HTML全文
查看全文 查看/发表评论 下载PDF阅读器 |
| 中文关键词 碳排放 公平视角 影响因素 基尼系数 LMDI模型 |
| 英文关键词 carbon emissions equity perspective influencing factors Gini coefficient LMDI model |
| DOI 10.13227/j.hjkx.202501050 |
|
| 中文摘要 |
| 中国能源生产和消费呈现逆向分布特征，考虑区域碳排放与能源消费间的均衡性对实现区域经济的可持续发展和生态环境的保护具有重要意义. 基于公平视角，构建区域划分标准将中国划分为能源生产区、能源消费区和能源耦合区；采用基尼系数明晰2005~2022年区域碳排放公平性的时空演变特征，引入LMDI模型进行碳排放的驱动因素分析. 结果表明：①2005~2022年全国碳排放量以2014年为分界点呈“先急后缓”增长趋势，且存在明显的“能源消费区>能源生产区>能源耦合区”的区域性差异；②从公平性来看，人均碳排放的空间演变态势表现为自西向东增长，且中国人均碳排放的公平程度整体趋于降低；③经济发展和能源消费强度均为碳排放的主要影响因素，且区域特点导致驱动程度存在“能源消费区>能源生产区>能源耦合区”的差异. 研究可为中国提高区域间碳排放的公平性提供理论指导与实践依据. |
| 英文摘要 |
| China's energy production and consumption are characterized by inverse distribution， and it is important to consider the equilibrium between regional carbon emissions and energy consumption in order to realize the sustainable development of regional economy and the protection of the ecological environment. Based on the equity perspective， the regional division standard is constructed to divide China into energy production areas， energy consumption areas， and energy coupling areas. The Gini coefficient is used to clarify the spatial and temporal evolution characteristics of regional carbon emission equity from 2005 to 2022， and the LMDI model is introduced to analyze the driving factors of carbon emissions. The conclusions were as follows： ① National carbon emissions from 2005 to 2022， with 2014 as the cut-off point， showed a trend of “rapid and then slow” growth， and there was a clear regional difference of “energy consumption area > energy production area > energy coupling area.” ② In terms of equity， the spatial evolution of per capita carbon emissions showed an increase from west to east， and the overall equity of per capita carbon emissions in China tended to decrease. ③ Economic development and energy consumption intensity were both major influences on carbon emissions， and regional characteristics led to differences in the degree of driving force， with “energy-consuming area > energy-producing area > energy-coupling area.” The study can provide theoretical guidance and a practical basis for China to improve the equity of carbon emissions among regions. |
