Allocation of carbon emission quotas to Chinese power enterprises

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