Among all the emission reduction measures,carbon tax is recognized as the most effective way to protect our climate.That is why the Chinese government has recently taken it as a tax reform direction.In the current eco...Among all the emission reduction measures,carbon tax is recognized as the most effective way to protect our climate.That is why the Chinese government has recently taken it as a tax reform direction.In the current economic analysis,the design of carbon tax is mostly based on the target to maximize the efficiency.However,based on the theory of tax system optimization,we should also consider other policy objectives,such as equity,revenue and cost,and then balance different objectives to achieve the suboptimum reform of carbon tax system in China.展开更多
Differential evolution(DE) demonstrates good convergence performance,but it is difficult to choose trial vector generation strategies and associated control parameter values.An improved method,self-adapting scalable D...Differential evolution(DE) demonstrates good convergence performance,but it is difficult to choose trial vector generation strategies and associated control parameter values.An improved method,self-adapting scalable DE(SSDE) algorithm,is proposed.Trial vector generation strategies and crossover probability are respectively self-adapted by two operators in this algorithm.Meanwhile,to enhance the convergence rate,vectors selected randomly with the optimal fitness values are introduced to guide searching direction.Benchmark problems are used to verify this algorithm.Compared with other well-known DE algorithms,experiment results indicate that this algorithm is better than other DE algorithms in terms of convergence rate and quality of optimization.展开更多
文摘Among all the emission reduction measures,carbon tax is recognized as the most effective way to protect our climate.That is why the Chinese government has recently taken it as a tax reform direction.In the current economic analysis,the design of carbon tax is mostly based on the target to maximize the efficiency.However,based on the theory of tax system optimization,we should also consider other policy objectives,such as equity,revenue and cost,and then balance different objectives to achieve the suboptimum reform of carbon tax system in China.
基金National Natural Science Foundation of China (No. 70971020)
文摘Differential evolution(DE) demonstrates good convergence performance,but it is difficult to choose trial vector generation strategies and associated control parameter values.An improved method,self-adapting scalable DE(SSDE) algorithm,is proposed.Trial vector generation strategies and crossover probability are respectively self-adapted by two operators in this algorithm.Meanwhile,to enhance the convergence rate,vectors selected randomly with the optimal fitness values are introduced to guide searching direction.Benchmark problems are used to verify this algorithm.Compared with other well-known DE algorithms,experiment results indicate that this algorithm is better than other DE algorithms in terms of convergence rate and quality of optimization.
