期刊
JOURNAL OF CLEANER PRODUCTION
卷 299, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.126912
关键词
Carbon abatement cost; Carbon abatement efficiency; Task allocation; Efficiency optimization; Carbon emission quota
资金
- Think Tank of Energy Mining Economy (2018 Project for Cultural Evolution and Creation of CUMT) [2018WHCC01]
This study uses calculations of carbon abatement costs and efficiency to optimize the allocation of carbon abatement tasks, finding that China has low overall carbon abatement efficiency, but optimizing task allocation can reduce total costs and improve efficiency.
The fundamental requirement of carbon abatement is to complete the carbon abatement task set, at the lowest cost. In this paper, the non-radial distance function method is used to calculate the marginal carbon abatement costs of each unit, and the statistical method is used to estimate the carbon abatement efficiency of each unit. Based on the sum of dynamic carbon abatement costs in each province, the carbon abatement task allocation is optimized, and the data before and after optimization is compared and analyzed. The main conclusions are as follows: (1) The function of carbon abatement efficiency can be estimated using the marginal cost of carbon abatement, by which, the carbon abatement cost of each province can be calculated. (2) The correlation between carbon emissions and carbon abatement effi-ciency of each province is weak, so the overall carbon abatement efficiency of China is low. (3) Opti-mizing the allocation of provincial carbon abatement tasks can significantly reduce the total carbon abatement cost and improve the carbon abatement efficiency. This study has significant theoretical and practical value for improving China's overall carbon abatement efficiency, and establishing the provincial initial carbon emission quota. (c) 2021 Elsevier Ltd. All rights reserved.
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