Allocation of Carbon Emission Permits among Industrial Sectors in Liaoning Province

Mu, Hailin; Li, Linlin; Li, Nan; Xue, Zhaoquan; Li, Longxi

doi:10.1016/j.egypro.2016.12.076

Cited by 14 publications

(4 citation statements)

References 2 publications

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“…Since the marginal abatement cost is equal to the ratio of the shadow price of carbon emissions to economic output, we construct the dual model (13). The dual model is as follows:…”

Section: Cost Effect Analysis Based On Slacks-based Measure-data Envelopment Analysis Modelmentioning

confidence: 99%

Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation

et al. 2020

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To achieve the carbon reduction target, the Chinese government not only requires a quota allocation scheme in line with the current development situation, but also needs to minimize the economic expenditure in the emission reduction work. Therefore, this study integrates the multi-index method and zero-sum gains–data envelopment analysis model to obtain a fair and efficient multi-criteria quota allocation scheme. To ensure the effectiveness of the scheme, the fairness and cost effect of the scheme are quantitatively tested. In addition, regional cooperation factors are introduced into the research framework to providing feasible practical measures. The results show that: (1) After optimization, the eastern region has the largest quota increment, accounting for 45% of the country’s quota. (2) The multi-criteria quota allocation scheme after secondary allocation is a more ideal scheme. The quota scheme not only meets the requirements of fairness and efficiency, but also has lower abatement costs. (3) Regional cooperation should be encouraged by China, especially the eastern region, which can alleviate the reducing emission pressure through cooperation. Although the western region needs to undertake additional emission reduction tasks, it can improve the utilization rate of local renewable resources and be conducive to long-term economic development. These results will provide a reference for China to achieve its carbon reduction targets.

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“…Since the marginal abatement cost is equal to the ratio of the shadow price of carbon emissions to economic output, we construct the dual model (13). The dual model is as follows:…”

Section: Cost Effect Analysis Based On Slacks-based Measure-data Envelopment Analysis Modelmentioning

confidence: 99%

Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation

et al. 2020

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“…Research has revealed that scholars utilize diverse methods for allocating carbon quotas, encompassing techniques such as the entropy method, ZSG-DEA method, scenario analysis, subjective weight + entropy weight approach, and fuzzy optimization model, among others (Mu, 2016;Wang et al, 2016;Zhao, 2017). The entropy method, among various other techniques, relies solely on objective data, thereby eliminating subjective biases in the weight assignment process.…”

Section: Entropy Methodsmentioning

confidence: 99%

Study on China’s 2030 provincial carbon quota allocation scheme considering the positive and negative effects of historical emissions

Liu,

Lei,

Chen

et al. 2024

Front. Environ. Sci.

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The carbon quota allocation scheme serves as the fundamental backbone for ensuring the smooth and sustainable operation of the carbon market. Despite numerous prior studies, ongoing debates persist regarding the impact of historical emissions, both positive and negative, on carbon quota allocation. Utilizing the four indicators of historical emissions (both positive and negative), egalitarianism, payment capability, and emission efficiency, this paper employs the entropy method to develop 22 distinct carbon quota allocation plans tailored for China’s provincial regions in the year 2030. Subsequently, utilizing the shadow price method, the study calculates the emission reduction costs of each province under each allocation scheme, thereby evaluating the carbon quota plans from the perspective of emission reduction costs. Finally, a comparative analysis is conducted to assess the impact of both positive and negative historical emissions on the carbon quota allocation scheme, and the paper identifies the carbon quota allocation approach that minimizes the overall emission reduction cost for China. The findings suggest that: 1) allocating more allowances to provinces with higher historical emissions can effectively reduce emission reduction costs for each province; 2) the most cost-effective option for carbon quota allocation is a scheme that takes into account both egalitarian and historical emission criteria; 3) in order to further decrease the overall cost of emissions reduction, it is crucial to achieve comprehensive coverage of the carbon market and facilitate inter-provincial carbon quota trading.

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“…Although the method of direct control has the advantages of simplicity, directness, and rapidity, there may be great resistance and high management cost in its implementation. The aim of the carbon tax is to reduce carbon emissions by enhancing the cost of fossil energy, but the determination of the tax rate is still controversial (Dong et al, 2018;Li et al, 2018;Mu et al, 2016). A tax rate too high may affect the production of enterprises, while too low can't produce an emission reduction effect.…”

Section: Introductionmentioning

confidence: 99%

Study on the Initial Allocation of Carbon Emission Rights Applicable to China's National Conditions: from the Perspective of Comprehensive Principles

2024

Global NEST Journal

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<p>The scientific and reasonable allocation of initial carbon emission rights is the foundation of establishing and perfecting the carbon trading system, which is directly associated with the completion of carbon emission reduction targets. Guided by the rational distribution of China's carbon emission rights, this paper adopts a multi-index method to investigate the initial distribution of China's carbon emission rights from a regional perspective according to the comprehensive principles of fairness, efficiency, sustainability, and environmental capacity limit. The results show that the use of regional historical carbon emissions or economic factors as a single indicator of carbon emission rights distribution is unreasonable according to historical emissions or GDP, and the results are quite different from the actual demand. Under the overall coordination degree allocation model, it is reasonable for Region 2, Region 3, and Region 4 to undertake higher emission reduction responsibilities, and the emission reduction tasks in these regions are likely to be completed, which shows that the carbon emission rights allocation under the comprehensive principle is more in line with the actual demand and has good operability, robustness, and compatibility. The allocation of carbon emission quota requires the scientific and reasonable formulation of the total national allocation, that all provinces and cities can form a stable quota expectation, effectively design the allocation principle scheme, give consideration to fairness and operability, and do not share the responsibility of regional emission reduction with a one-size-fits-all approach.</p>

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Allocation of Carbon Emission Permits among Industrial Sectors in Liaoning Province

Cited by 14 publications

References 2 publications

Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation

Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation

Study on China’s 2030 provincial carbon quota allocation scheme considering the positive and negative effects of historical emissions

Study on the Initial Allocation of Carbon Emission Rights Applicable to China's National Conditions: from the Perspective of Comprehensive Principles

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