Environmental satellite accounts: Construction and stylised facts

Transcription

1 Environmental satellite accounts: Construction and stylised facts Aurélien Genty, Iñaki Arto, Frederik Neuwahl WIOD launch event, Brussels, April 16, 2012 Joint Research Centre The European Commission's in-house science service

2 2 Outline Environmental Accounts (EA) in WIOD Main data sources Highlights on the EA construction Stylised facts from EA data

3 3 WIOD WIOD EA WIOD EA in brief Indicators covered Energy Air emissions Materials extraction Land use Water use Geographical coverage: full world coverage EU27 countries 13 major non-eu countries Rest of the world (1 region) Time coverage: full time series Sectoral coverage 35 WIOD industries (based on NACE Rev. 1.1, 2002) Final consumption (households)

4 4 WIOD EA Definition of WIOD EA products industries products U Y q industries V x SUT framework I w q T x T extensions r xt r yt Environmental satellites (Moll et al., 2008)

5 5 WIOD EA Content of WIOD EA Core indicators Energy accounts (in TJ) Gross energy use (by 36 sectors and 27 energy entries) Emission relevant energy use (by 36 sectors and 27 energy entries) Air emission accounts (in t / 1000 t) CO2 emissions (by 36 sectors and 27 energy entries) Non-CO2 emissions (by 36 sectors): NOx, SOx, NMVOC, CO, CH4, N2O, NH3 Additional indicators Materials extraction accounts (in 1000 t) Used materials (by 2 sectors and 12 materials types) Unused extraction (by 2 sectors and 12 materials types) Land use accounts (in 1000 ha) Agriculture and forest land use (by 4 land types) Water use accounts (in 1000 m³) Use of water (by 36 sectors and 3 water types)

6 6 WIOD EA WIOD EA structure: example of energy sectors - Industries - Households WIOD Sectors WIOD Fuels 26 fuels and losses - Coal - Oil and gas - Electricity and heat - Refinery products - Renewables - Waste - Losses Country X

7 7 Data sources Main data sources (1) WIOD data SUTs Socio-economic accounts Energy data Official NAMEA energy (few countries) IEA energy balances and energy prices (all countries) Transport data from EXIOPOL and ODYSSEE Tourism data from OECD-Eurostat

8 8 Data sources Main data sources (2) Air emission data Eurostat NAMEA air (EU27) Emission inventories from UNFCCC and EDGAR IPCC CO2 emission factors Data for extraction, land use and water Material flow accounts from Eurostat and SERI/Wuppertal FAOSTAT agricultural and forestry data (land use, production) Water data from Mekonnen and Hoekstra (2010 & 2011) and EXIOPOL

9 9 Construction Main WIOD EA principles Based on residence principle and fully compliant with SNA Energy accounts based on gross energy concept Domestic production + Imports Exports + Inventory changes = Intermediate consumption + Final uses Air emission accounts based on: Energy-first approach (emissions derived from energy accounts combined with emission factors) when most emissions linked to combustion: CO2, NOx, SOx, NMVOC, CO Inventory-first approach (emissions derived from emission inventories re-arranged and adjusted for residence principle) when most emissions not linked to energy: N2O, CH4, NH3

10 10 Construction Main challenges in WIOD EA construction Data gaps Some sectoral classification mismatches Some discordant conceptual sectoral definitions Difference in boundary principle (territorial vs. residence) Inconsistencies between data sources Alignment with official NAMEA-like data

11 11 Worldwide CO2-equivalent GHG emissions RoW BRA JPN IND RUS EU27 USA CHN 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% RoW BRA JPN IND RUS EU27 USA CHN In shares (%) In GtCO2e Stylised facts

12 12 Stylised facts GHG emission intensity of gross value added in EU27, 2008 (tco2e/1000 ) LUX: least emission intensive (high value added) Other least emission intensive: SWE and FRA (low emission electricity production) Eastern countries more emission intensive DNK: emission intensive due to predominance of maritime sector

13 13 Stylised facts EU27 SOx emission intensity of energy use for SOx intensive sectors, 2008 (t/tj)

14 14 Conclusions Use of official and (publicly) available information Reconciliation of heterogeneous data with a transparent methodology Construction of environmental satellite accounts based on SNA conventions High potential for modelling and policy analysis (energy and air emissions)

15 15 Thank you for your attention