There is notable variability in carbon emission reduction efforts across different provinces in China,underscoring the need for effective strategies to implement carbon emission allowance auctions.These auctions,as op...There is notable variability in carbon emission reduction efforts across different provinces in China,underscoring the need for effective strategies to implement carbon emission allowance auctions.These auctions,as opposed to free allocations,could be more aligned with the principle of“polluter pays.”Focusing on three diverse regions—Ningxia,Beijing,and Zhejiang—this study employs a system dynamics simulation model to explore markets for carbon emissions and green certificates trading.The aim is to determine the optimal timing and appropriate policy intensities for auction introduction.Key findings include:(1)Optimal auction strategies differ among the provinces,recommending immediate implementation in Beijing,followed by Ningxia and Zhejiang.(2)In Ningxia,there’s a potential for a 6.20%increase in GDP alongside a 21.59%reduction in carbon emissions,suggesting a feasible harmony between environmental and economic objectives.(3)Market-related policy variables,such as total carbon allowances and Renewable Portfolio Standards,significantly influence the optimal auction strategies but have minimal effect on carbon auction prices.展开更多
One of the key elements influencing the performance of a carbon trading system, are the methods of allocating the initial CO2 emissions. This paper tries to use a quantitative description method to analyze the influen...One of the key elements influencing the performance of a carbon trading system, are the methods of allocating the initial CO2 emissions. This paper tries to use a quantitative description method to analyze the influence of the different allocation methods on the level of CO2 emissions based on the seven pilot trading markets from 2009 to 2013 in China. The results show that different methods bring about various degrees of impacts, through direct and indirect constraint mechanism, influence the CO2 emission cut finally. Although due to the complexity of the direct and indirect constraint mechanism, attempting to compare the effects of different allocation methods is difficult by using the data of carbon emission cut from seven pilot markets in China, the paper shows that the allowance allocation methods, through the constraints imposed on enterprises, significantly reduce regional carbon emissions.展开更多
基金supported by the National Social Science Foundation of China(Grant No.22FGLB029)the National Nature Science Foundation of China(Grant Nos.72274094,72371129,71834003)+1 种基金Project of the Ministry of Education of China(Grant No.202200337)the Fundamental Research Funds for the Central Universities(Grant Nos.NR2021002 and NS2022074).
文摘There is notable variability in carbon emission reduction efforts across different provinces in China,underscoring the need for effective strategies to implement carbon emission allowance auctions.These auctions,as opposed to free allocations,could be more aligned with the principle of“polluter pays.”Focusing on three diverse regions—Ningxia,Beijing,and Zhejiang—this study employs a system dynamics simulation model to explore markets for carbon emissions and green certificates trading.The aim is to determine the optimal timing and appropriate policy intensities for auction introduction.Key findings include:(1)Optimal auction strategies differ among the provinces,recommending immediate implementation in Beijing,followed by Ningxia and Zhejiang.(2)In Ningxia,there’s a potential for a 6.20%increase in GDP alongside a 21.59%reduction in carbon emissions,suggesting a feasible harmony between environmental and economic objectives.(3)Market-related policy variables,such as total carbon allowances and Renewable Portfolio Standards,significantly influence the optimal auction strategies but have minimal effect on carbon auction prices.
文摘One of the key elements influencing the performance of a carbon trading system, are the methods of allocating the initial CO2 emissions. This paper tries to use a quantitative description method to analyze the influence of the different allocation methods on the level of CO2 emissions based on the seven pilot trading markets from 2009 to 2013 in China. The results show that different methods bring about various degrees of impacts, through direct and indirect constraint mechanism, influence the CO2 emission cut finally. Although due to the complexity of the direct and indirect constraint mechanism, attempting to compare the effects of different allocation methods is difficult by using the data of carbon emission cut from seven pilot markets in China, the paper shows that the allowance allocation methods, through the constraints imposed on enterprises, significantly reduce regional carbon emissions.
