Abstract: As an important area of energy saving and carbon reduction, public institutions play an exemplary and leading role in the implementation of carbon peaking and carbon neutral decision making. This paper takes Beijing’s public institutions as an example, measures carbon emissions based on the energy consumption statistics of various jurisdictions and types of public institutions from 2014 to 2020, and conducts a study on the spatial and temporal evolution characteristics of carbon emissions of Beijing’s public institutions by using the Theil index, Slope value and ESDA method. The study shows that: ① From 2014 to 2020, public institutions in Beijing had achieved significant results in energy conservation and emission reduction, with overall carbon emissions showing a fluctuating downward trend, achieving a cumulative carbon emission reduction of 572,000 tonnes from fossil energy consumption; ② In 2020, Beijing’s public institutions emitted 4.577 million tonnes of carbon, of which 83.5% is from three types of public institutions: educational institutions, state agencies and health institutions; ③ There are significant differences in carbon emissions from public institutions in various districts of Beijing, with central urban districts being the dominant carbon emitters, followed by emerging outskirts, ecological conservation areas and the sub-centre of Beijing; ④ There are positive spatial correlation characteristics of carbon emissions from public institutions in various regions of Beijing, with high-high agglomeration (HH) and low-low agglomeration (LL) being the main types of local spatial auto correlation, while the degree of spatial agglomeration shows a trend of fluctuation between weakening and enhancing.

Key words: Beijing, public institutions, carbon accounting, space-time evolution