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基于CRITIC-TOPSIS的中国区域碳减排能力评价及空间分析

Evaluation and Spatial Analysis of China′s Regional Carbon Emission Reduction Capacity Based on CRITIC-TOPSIS

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【作者】 杨青吴恒刘星星曹兰娟

【Author】 YANG Qing;WU Heng;LIU Xingxing;CAO Lanjuan;School of Safety Science and Emergency Management, Wuhan University of Technology;

【机构】 武汉理工大学安全科学与应急管理学院浙大宁波理工学院机电与能源工程学院

【摘要】 气候变化是全人类的共同挑战,中国在气候治理行动中,期望在最短时间内完成碳排放强度全球最大降幅。实现碳达峰碳中和,需统筹处理好整体和局部的关系,有效评价区域碳减排能力。基于CRITIC-TOPSIS法对2015—2019年中国区域碳减排能力进行测度评价,结合GIS技术对碳减排能力空间特征开展分析。结果表明:指标权重随社会变化不断发生动态变化;碳减排能力区域差异显著,呈现明显的东部高,中西部低的现象;区域碳减排能力发展水平空间自相关性显著,其中高值聚类显著性更强,空间分布出现“俱乐部趋同”现象。最后,对目前区域碳减排能力存在的问题提出了相应的对策建议。

【Abstract】 Climate change is a common challenge for all mankind. In China′s climate governance action, it is expected to achieve the largest global reduction in carbon emission intensity in the shortest possible time. To achieve carbon peaking and carbon neutrality, it is necessary to coordinate the overall and local relationships and effectively evaluate regional carbon emission reduction capabilities. Based on the CRITIC-TOPSIS method, China′s regional carbon emission reduction capacity from 2015 to 2019 was measured and evaluated, and the spatial characteristics of carbon emission reduction capacity were analyzed by applying GIS technology. The results showed that index weights are constantly changing with the development of society. The scores of carbon emission reduction capacity varied by region, with the eastern part being higher and the central and western part lower. Regional emission reduction capacity development shows a strong trend of spatial correlation, and high value clustering is more significant than low value clustering. The spatial distribution shows the phenomenon of “club convergence”. Finally, the corresponding countermeasures and suggestions are put forward for the problems existing in the current regional carbon emission reduction capacity.

【基金】 国家自然科学基金面上项目(72374164)
  • 【文献出处】 武汉理工大学学报(信息与管理工程版) ,Journal of Wuhan University of Technology(Information & Management Engineering) , 编辑部邮箱 ,2024年02期
  • 【分类号】X321;F124.5
  • 【下载频次】92
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