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Allocation of carbon emission quotas in Chinese provinces based on Super-SBM model and ZSG-DEA model

机译:基于超级SBM模型和ZSG-DEA模型的中国省份碳排放配额分配

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Allocation of carbon emission quotas is a primary part for carbon trading market to mitigate carbon emission, and there is no unified carbon emission allocation scheme in China at provincial level now. The researches on allocation of carbon emission quotas ignored the difference among the efficiency values of effective provinces, and few researches considered the reduction potentiality. This paper aimed at proposing a carbon emission quota allocation scheme in China in 2030 based on entropy method, the Super-SBM (super-slack-based measure) model and ZSG-DEA (zero sum gains DEA) model. Different from the existing researches, Super-SBM model can help effectively distinguish every efficiency value, making the allocation results more exact and efficient. And considering reduction potentiality calculated by ZSG-DEA model, the allocation results could be more feasible. The result shows that: (1) The carbon emission quota allocation scheme is tested to be feasible with validity and fairness. Economic development level and carbon emission efficiency are the main contributors to carbon emission quota allocation, consisting with China's current policy orientation of vigorously promoting the development of green ecological economy. (2) The carbon emission quotas decrease gradually from the southeast coastal area to the northwest area. Guangdong, Jiangsu, Shandong and Zhejiang obtain the highest carbon emission quotas, while Gansu, Qinghai, Ningxia and Xinjiang experience the lowest carbon emission quotas. (3) Carbon emission quota surplus is witnessed in 15 of the 30 provinces including Beijing, Guangdong, Shanghai, etc. Hebei, Jilin, Gansu and Heilongjiang take the larger pressure of carbon emission reduction. The different reasons for carbon emission quota surplus and carbon emission reduction pressure suggest that common but differentiated strategies should be provided in front of carbon emission quota allocation and reduction pressure and regional coordinated development should be promoted.
机译:碳排放配额的分配是减轻碳排放的碳交易市场的主要部分,现在中国在中国没有统一的碳排放分配计划。对碳排放配额分配的研究忽略了有效省份效率价值的差异,少数研究算是减少潜力。本文旨在提出2030年在中国的碳排放配额分配方案,基于熵方法,超级SBM(基于超级SLACK系列)模型和ZSG-DEA(ZSG-DEA(零总和DEA)模型。与现有的研究不同,超级SBM模型可以有助于有效地区分每个效率值,使分配结果更加精确,有效。并且考虑到ZSG-DEA模型计算的减少潜力,分配结果可能更加可行。结果表明:(1)测试碳排放配额分配方案是可行的有效性和公平性。经济发展水平和碳排放效率是碳排放配额配置的主要贡献者,包括中国目前的积极促进绿色生态经济发展的政策取向。 (2)碳排放配额从东南沿海地区逐渐减少到西北地区。广东,江苏,山东和浙江获得最高的碳排放配额,而甘肃,青海,宁夏和新疆经历了最低的碳排放配额。 (3)在包括北京,广东,上海等30个省份中有15个省份的碳排放配额盈余见证了河北,吉林,甘肃和黑龙江省碳减排压力较大。碳排放配额剩余和碳排放减少压力的不同原因表明,应在碳排放配额分配前提供共同但有区别的策略,并应促进缩减压力和区域协调发展。

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