For achieving air pollutant emission reduction targets,total pollutant amount control is being continuously promoted in China.However,the traditional pattern of pollutant emission reduction allocation regardless of ec...For achieving air pollutant emission reduction targets,total pollutant amount control is being continuously promoted in China.However,the traditional pattern of pollutant emission reduction allocation regardless of economic cost often results in unreasonable emission reduction pathways,and industrial enterprises as the main implementers have to pay excessively high costs.Therefore,this study adopted economic efficiency as its main consideration,used specific emission reduction measures(ERMs)of industrial enterprises as minimum allocation units,and constructed an enterprise-level pollutant emission reduction allocation(EPERA)model with minimization of the total abatement cost(TAC)as the objective function,and fairness and feasibility as constraints for emission reduction allocation.Taking City M in China as an example,the EPERA model was used to construct a Pareto optimal frontier and obtain the optimal trade-off result.Results showed that under basic and strict emission reduction regulations,the TAC of the optimal trade-off point was reduced by 46.40%and 45.77%,respectively,in comparison with that achieved when only considering fairness,and the Gini coefficient was 0.26 and 0.31,respectively.The abatement target was attained with controllable cost and relatively fair and reasonable allocation.In addition,enterprises allocated different emission reduction quotas under different ERMs had specific characteristics that required targeted optimization of technology and equipment to enable them to achieve optimal emission reduction effects for the same abatement cost.展开更多
The allocation of carbon emissions permits is a major component of the design of carbon trading schemes. The choice of allocation mechanisms can influence the long-term growth path, which in turn affects the effective...The allocation of carbon emissions permits is a major component of the design of carbon trading schemes. The choice of allocation mechanisms can influence the long-term growth path, which in turn affects the effectiveness of the emissions reduction policy. The findings of this article indicate that while a static allocation mechanism can maximize current yields, it leads to a slowdown in output growth under endogenous economic growth. To optimize intertemporal economic output, the allocation of carbon emissions will need to be dynamically adjusted. In the absence of complete information, an output-oriented adjustment to the allocation of emissions rights in different periods can guide market trading so that it approaches a long-term optimal growth path.展开更多
基金This study was supported by the Capital Blue Sky Action Cultivation Program of“Research on the Whole Process Control Technology of Pollution Sources in Industrial Parks and Research and Demonstration of Smart Environmental Protection Platforms”Project of Beijing Science and Technology Plan(Project No.Z191100009119010).
文摘For achieving air pollutant emission reduction targets,total pollutant amount control is being continuously promoted in China.However,the traditional pattern of pollutant emission reduction allocation regardless of economic cost often results in unreasonable emission reduction pathways,and industrial enterprises as the main implementers have to pay excessively high costs.Therefore,this study adopted economic efficiency as its main consideration,used specific emission reduction measures(ERMs)of industrial enterprises as minimum allocation units,and constructed an enterprise-level pollutant emission reduction allocation(EPERA)model with minimization of the total abatement cost(TAC)as the objective function,and fairness and feasibility as constraints for emission reduction allocation.Taking City M in China as an example,the EPERA model was used to construct a Pareto optimal frontier and obtain the optimal trade-off result.Results showed that under basic and strict emission reduction regulations,the TAC of the optimal trade-off point was reduced by 46.40%and 45.77%,respectively,in comparison with that achieved when only considering fairness,and the Gini coefficient was 0.26 and 0.31,respectively.The abatement target was attained with controllable cost and relatively fair and reasonable allocation.In addition,enterprises allocated different emission reduction quotas under different ERMs had specific characteristics that required targeted optimization of technology and equipment to enable them to achieve optimal emission reduction effects for the same abatement cost.
文摘The allocation of carbon emissions permits is a major component of the design of carbon trading schemes. The choice of allocation mechanisms can influence the long-term growth path, which in turn affects the effectiveness of the emissions reduction policy. The findings of this article indicate that while a static allocation mechanism can maximize current yields, it leads to a slowdown in output growth under endogenous economic growth. To optimize intertemporal economic output, the allocation of carbon emissions will need to be dynamically adjusted. In the absence of complete information, an output-oriented adjustment to the allocation of emissions rights in different periods can guide market trading so that it approaches a long-term optimal growth path.
