Industry-level Emissions from Fuel Combustion in the Russian Economy (2016, Rosstat Form 4-TER)
Description
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
Files
Steps to reproduce
Steps to reproduce Table A.8. Benchmark emissions from combustion by fuel type in 2016, mln tCO2e are documented in Burova, et al. (Forthcoming). Transition to a Low-carbon Economy and its Implications for Financial Stability in Russia. Emerging Market Review. Please see the online appendix section A.2. “Emissions data calculations” for guidelines.