ArticleEnvironmental science and pollution research international2017
Allocation and simulation study of carbon emission quotas among China's provinces in 2020.
Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Dynamic behavioral characteristics of carbon dioxide emissions from energy consumption: the role of shale technology.Environmental science and pollution research international · 2022Article
- Inter-provincial responsibility allocation of carbon emission in China to coordinate regional development.Environmental science and pollution research international · 2022Article
- Optimal allocation of COEnvironmental science and pollution research international · 2021Article
- Incorporating a constructed wetland system into a water pollution emissions permit system: a case study from the Chaohu watershed, China.Environmental science and pollution research international · 2021Article
- A study of the allocation of energy consumption permits among the regions of China based on clustering analysis and cuckoo search.Environmental science and pollution research international · 2021Article
- A system dynamics model of China's electric power structure adjustment with constraints of PM10 emission reduction.Environmental science and pollution research international · 2018Article
- Analysis of influence mechanism of energy-related carbon emissions in Guangdong: evidence from regional China based on the input-output and structural decomposition analysis.Environmental science and pollution research international · 2017Article
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5 authors.
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Abstract
China will form its carbon market in 2017 to focus on the allocation of regional carbon emission quota in order to cope with global warming. The rationality of the regional allocation has become an important consideration for the government in ensuring stable growth in different regions that are experiencing disparity in resource endowment and economic status. Based on constructing the quota allocation indicator system for carbon emission, the emission quota for each province in different scenarios and schemes in 2020 is simulated by the multifactor hybrid weighted Shannon entropy allocation model. The following conclusions are drawn: (1) The top 5 secondary-level indicators that influence provincial quota allocation in weight are as follows: per capita energy consumption, openness, per capita carbon emission, per capita disposable income, and energy intensity. (2) The ratio of carbon emission in 2020 is different from that in 2013 in many scenarios, and the variation is scenario 2 > scenario 1 > scenario 3, with Hubei and Guangdong the provinces with the largest increase and decrease ratios, respectively. (3) In the same scenario, the quota allocation varies in different reduction criteria emphases; if the government emphasizes reduction efficiency, scheme 1 will show obvious adjustment, that is, Hunan, Hubei, Guizhou, and Yunnan will have the largest decrease. The amounts are 4.28, 8.31, 4.04, and 5.97 million tons, respectively.
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