科研之友
微信
新浪微博
Facebook
分享链接
摘要
It is essential to study the allocation of carbon emission quotas to key high-carbon industries. Here, we used the theoretical generation performance standard (GPS) to evaluate the carbon inputs and outputs of the five major Chinese power groups. We predicted their 2017, 2020, and 2030 performances using a grey prediction model based on 2011-2016 data, and then applied the GPS model to calculate the target year distributions of carbon emissions, finally employing a data envelopment analysis (DEA) model to evaluate the effectiveness of these allocations. The carbon trading evaluations and carbon emission reduction potentials of the five major power groups differed;governmental policy must distinguish among these groups. The DEA showed that China Datang Corporation (in 2017, 2020 and 2030), China Huadian Corporation (in 2017, 2020), China Guodian Corporation (in 2017, 2020) and State Power Investment (in 2017, 2020 and 2030) are invalid. Thus, there is much room for improvement in carbon emission efficiency. To ensure reductions in carbon emissions, it is essential to improve the coal consumption efficiencies. China Datang Corporation, China Huadian Corporation, China Guodian Corporation and State Power Investment should reduce coal consumption in 2020;while China Datang Corporation and State Power Investment should reduce coal consumption in 2030. To reduce carbon emissions via rational allocation of quotas, the government must impose higher standards on carbon- and energy-intensive industries;support clean energy by formulating preferential fiscal and tax policies;encourage the development of renewable energy technology;encourage enterprises to strengthen technical cooperation;seek breakthroughs in transition and energy emission reduction technology;and enhance the carbon emission efficiency of electric power enterprises.
