Personal GHG emissions accounting and the driving forces decomposition in the past 10 years

Personal greenhouse gas (P(GHG)) emissions were crucial for achieving carbon peak and neutrality targets. The accounting methodology and driving forces identification of P(GHG) emissions were helpful for the quantification and the reduction of the P(GHG) emissions. In this study, the methodology of P(GHG) emissions was developed from resource obtaining to waste disposal, and the variations of Shanghainese P(GHG) emissions from 2010 to 2020 were evaluated, with the driving forces analysis based on Logarithmic Mean Divisia Index (LMDI) model. It showed that the emissions decreased from 3796.05 (2010) to 3046.87 kg carbon dioxides (CO(2)) (2014) and then increased to 3411.35 kg CO(2) (2018). The emissions from consumptions accounted for around 62.1% of the total emissions, and that from waste disposal were around 3.1%, which were neglected in most previous studies. The P(GHG) emissions decreased by around 0.53 kg CO(2) (2019) and 405.86 kg CO(2) (2020) compared to 2018 and 2019, respectively, which were mainly affected by the waste forced source separation policy and the COVID-19 pandemic. The income level and consumption GHG intensity were two key factors influencing the contractively of GHG emissions from consumption, with the contributing rate of 169.3% and − 188.1%, respectively. Energy consumption was the main factor contributing to the growth of the direct GHG emissions (296.4%), and the energy GHG emission factor was the main factor in suppressing it (− 92.2%). Green consumption, low carbon lifestyles, green levy programs, and energy structure optimization were suggested to reduce the P(GHG) emissions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43979-023-00045-9.