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The accounting method and application of CO_2 emissions responsibility by the electricity sector at the provincial level in China 被引量:1
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作者 Kun Fu shaozhou qi 《Chinese Journal of Population,Resources and Environment》 2015年第1期32-42,共11页
When accounting the CO_2 emissions responsibility of the electricity sector at the provincial level in China,it is of great significance to consider the scope of both producers' and the consumers' responsibili... When accounting the CO_2 emissions responsibility of the electricity sector at the provincial level in China,it is of great significance to consider the scope of both producers' and the consumers' responsibility,since this will promote fairness in defining emission responsibility and enhance cooperation in emission reduction among provinces.This paper proposes a new method for calculating carbon emissions from the power sector at the provincial level based on the shared responsibility principle and taking into account interregional power exchange.This method can not only be used to account the emission responsibility shared by both the electricity production side and the consumption side,but it is also applicable for calculating the corresponding emission responsibility undertaken by those provinces with net electricity outflow and inflow.This method has been used to account for the carbon emissions responsibilities of the power sector at the provincial level in China since 2011.The empirical results indicate that compared with the production-based accounting method,the carbon emissions of major power-generation provinces in China calculated by the shared responsibility accounting method are reduced by at least 10%,but those of other power-consumption provinces are increased by 20% or more.Secondly,based on the principle of shared responsibility accounting,Inner Mongolia has the highest carbon emissions from the power sector while Hainan has the lowest.Thirdly,four provinces,including Inner Mongolia,Shanxi,Hubei and Anhui,have the highest carbon emissions from net electricity outflow- 14 million t in 2011,accounting for 74.42% of total carbon emissions from net electricity outflow in China.Six provinces,including Hebei,Beijing,Guangdong,Liaoning,Shandong,and Jiangsu,have the highest carbon emissions from net electricity inflow- 11 million t in 2011,accounting for 71.44% of total carbon emissions from net electricity inflow in China.Lastly,this paper has estimated the emission factors of electricity consumption at the provincial level,which can avoid repeated calculations when accounting the emission responsibility of power consumption terminals(e.g.construction,automobile manufacturing and other industries).In addition,these emission factors can also be used to account the emission responsibilities of provincial power grids. 展开更多
关键词 SHARED RESPONSIBILITY power generation efficiency CARBON EMISSIONS EMISSION FACTOR
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Threshold effects of renewable energy consumption on economic growth under energy transformation 被引量:1
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作者 shaozhou qi Yang Li 《Chinese Journal of Population,Resources and Environment》 2017年第4期312-321,共10页
China proposed that non-fossil energy consumption account for 20% in total energy consumption. EU increased the target of renewable energy consumption share from 27% to 35% in 2030.Energy transformation and increasing... China proposed that non-fossil energy consumption account for 20% in total energy consumption. EU increased the target of renewable energy consumption share from 27% to 35% in 2030.Energy transformation and increasing renewable energy consumption are important energy strategies for all countries at present. Then, is the impact of renewable energy consumption on economic growth positive or negative? Are there any differences in the direction or magnitude of the impact among countries or regions, and what are the determinants behind them? We apply panel threshold effect model to test threshold effects of renewable energy consumption on economic growth of EU. Empirical result shows: first, the impact of renewable energy consumption on economic growth is negative. Second, renewable energy consumption has significant threshold effects on economic growth. Third, now, energy consumption intensity and GDP per capita of most EU members are in the appropriate threshold regimes. In contrast, more and more EU members are in the high-subsidy group. Fourth, the average annual growth rates of renewable energy consumption showed no significant difference between high-subsidy and lowsubsidy countries from 1990 to 2014. Therefore, subsidy with high economic cost is not the onlyeffective means to increase renewable energy consumption. 展开更多
关键词 生长率 精力 消费 经济 阀值 EU 津贴 GDP
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Fundamental issues and solutions in the design of China's ETS pilots:Allowance allocation,price mechanism and state-owned key enterprises
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作者 shaozhou qi Banban Wang 《Chinese Journal of Population,Resources and Environment》 2013年第1期26-32,共7页
This paper analyzes the three main fundamental issues in the design of China's ETS pilots,including allowance allocation,price mechanism and state-owned key enterprises,and proposed suggested solutions.For the iss... This paper analyzes the three main fundamental issues in the design of China's ETS pilots,including allowance allocation,price mechanism and state-owned key enterprises,and proposed suggested solutions.For the issue of allowance allocation,we suggest that the gradual hybrid mode could be applied at the beginning,which starts with mainly free allocation and then increases auction ratio gradually.And grandfathering is a suitable method of free allocation.For the issue of price mechanism,we suggest a price floating zone with open market operation to reduce the uncertainty of prices.For the issue of state-owned key enterprises,we suggest a good coordination with SASAC,defining the state-owned property right and supervision right when state-owned key enterprises are involved into the carbon market,and the local government can set rules of allocation and transaction to limit their potential market power. 展开更多
关键词 ETS pilot ALLOWANCE ALLOCATION price mechanism STATE-OWNED KEY ENTERPRISES
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