Dataset Estimates of quarterly greenhouse gas emissions
About this Dataset
Estimates of greenhouse gas emissions using the Chow-Lin regression-based temporal disaggregation method, quarterly data. These are official statistics in development.Edition in this dataset
Important notes and usage information
These experimental estimates of greenhouse gas emissions have been modelled using the Chow-Lin regression based temporal disaggregation method.
Currently, all the predictor indicators used in our modelling are taken from the Department for Energy Security and Net Zero (DESNZ), Energy trends publication.
The seasonally adjusted emissions estimates are modelled using X13ARIMA-SEATS.
These estimates are experimental - their methodology is under development and so these estimates are subject to change.
The Air Emission Accounts include only direct emissions, defined as ‘scope 1’ under the GHG protocol guidance.
Due to the method used to estimate these series, quarterly estimates of greenhouse gas (GHG) and carbon dioxide (CO2) emissions from consumer expenditure should not be calculated by subtracting the estimates of GHG/CO2 emissions minus consumer expenditure (Table 2 and 4) from the total GHG/CO2 series (Table 1 and 3).
Consumer expenditure refers to the consumption of fuels and other products by individuals in the UK, as opposed to the production of these by industry.
Emission intensity is calculated as the total emissions divided by gross valve added at basic prices, chained volume measures with (2019) as the base and reference year.