Industry-level Emissions from Fuel Combustion in the Russian Economy (2016, Rosstat Form 4-TER)

This dataset provides benchmark emissions from fuel combustion in the Russian economy for 2016, based on Form No. 4-TER “Information on the use of fuel and energy resources.” It was developed as background data for computable general equilibrium (CGE) modeling and climate-policy analysis. Emissions are disaggregated by fuel type (coal, natural gas, coking coal, petroleum products, and manufactured/distributed gas) and by industry, covering more than 40 production sectors and final demand categories.

What the data show.
Reported values include CO₂, CH₄, and N₂O emissions converted into CO₂-equivalents using IPCC global warming potentials. Total benchmark emissions from combustion reach 1,351 MtCO₂e in 2016. The largest contributors are electricity generation (~599 MtCO₂e), metallurgy (~160), and pipeline transport (~85). These estimates represent ~84% of Russia’s officially reported energy-related emissions, excluding direct household fuel use.

How the data were produced.
Fuel consumption data from Form 4-TER were converted from tons of coal equivalent (tce) into terajoules (0.0293076 TJ/tce). Emissions were calculated by applying default and country-specific factors from the National Inventory Report (Romanovskaya et al., 2022).

How to interpret/use.
The dataset provides consistent benchmark emissions by industry and fuel type suitable for calibrating CGE models, deriving sectoral emission intensities (kgCO₂e/RUB), and supporting scenario analyses. It was developed for the research presented in Burova et al. (Forthcoming). Transition to a Low-carbon Economy and its Implications for Financial Stability in Russia. Emerging Markets Review. Users should cite both Form 4-TER as the source of activity data and this dataset for processed emission benchmarks.

File List

1. Burova_et_al_Emissions_data.xlsx
* Includes:
-1. Table A.1. List of industries
-2. Table A.2. List of commodities
-3. Table A.8. Benchmark emissions from combustion by fuel type in 2016, mln tCO2e
-4. Table A.9. Emission factors by fuel type, kgCO2/RUB
-5. Table E.2.1 Correspondence between IOT 2016 activities (columns) and industries in the CGE model
-6. Table E.2.2 Correspondence between IOT 2016 product groups (rows) and goods and services in the CGE model