Physical Environmental Accounts - Common elements and compilation challenges European Statistical Training Programme (ESTP) Sacha Baud, Jasmin Gülden.

Slides:



Advertisements
Similar presentations
Eurostat's work on resource productivity indicators and green jobs Walter J. Radermacher Chief Statistician of the European Union Presentation at informal.
Advertisements

Carbon Management and Infrastructure Development: Lessons from Industrial Ecology Dr. Robin Curry Institute for a Sustainable World Queen’s University,
Global resource extraction by material category Shares of global resource extraction by world region Shares of global resource extraction.
CO 2 Emissions Embodied in Austrian International Trade Kurt Kratena, Ina Meyer Austrian Institute of Economic Research – WIFO 11. FIW-Workshop Studien.
Material Flow Accounts MFA Questionnaire and Guide for Beginners Nina Eisenmenger.
Implementation of energy accounts in Finland The 7th Oslo Group Meeting, Helsinki Jonna Hakala
Air Emission Accounts Ole Gravgård SEEA Training Seminar for the ECA Addis Ababa 2-5 February 2015.
International Society for Ecological Economics ISEE Conference June 2012, Rio de Janeiro ECOLOGICAL ECONOMICS AND RIO+20: CONTRIBUTIONS AND CHALLENGES.
MFA Training Workshop Eurostat / EEA / ETC-WMF Topic 3: Unused Domestic Extraction (UDE) and Indirect Flows of Imports and Exports MFA Training Workshop,
SEEA-Energy Alessandra Alfieri Expert Group Meeting on Energy Statistics.
WG Environmental Accounts / Environmental Expenditure Statistics Introducing NACE Rev. 2 in the environmental accounts Luxembourg, March 2011.
ESTAT/A/1 29/02/ :16 Slide: 1 European Commission - Eurostat Discussion on methodological problems and solutions Practical approaches of the Members.
Eurostat Environmental accounts - the European perspective Pedro Díaz Muñoz Eurostat Director of sectoral and regional statistics The Accounts of Society.
Climate Action Climate and Energy: EU perspective Madrid, Universidad Pontificia Comillas 18 May 2015 Jos DELBEKE Director General for Climate Action European.
Drivers and Emissions workgroup
Considerations for calculation of Eurostat MFA Task Force
Calculation of material flow indicators with the use of combined IOT-LCA model: a Eurostat approach Karl Schoer1, Jan Kovanda3, Jürgen Giegrich2, Christoph.
Global data structure definitions
Towards a Physical Supply Table
Energy Flow Accounts in Denmark - the whys and hows
Cross-validation of waste statistics data
Working Group ”Environmental Accounts”
Europe 2020, Resource Efficiency, Environmental Indicators + Accounts
Table A: Domestic Extraction
SUTs – data sources and bridge tables
PEFA Physical Energy Flow Accounts
WiFi in Ampere Choose a wireless network: EC_Hotspot Start web browser
Economy-wide Material Flow Accounts (EW-MFA) (point 4 of the agenda)
Inventory first method
PEFA Physical Energy Flow Accounts
Classification of physical flows
Supply and Use Tables THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Italy’s project on exhastiveness of domestic extraction estimates
03 Air Emissions Accounts (AEA)
Agenda item 4 EW-MFA Part 2 Early estimates for EW-MFA RMC estimates
Classification of Material Flows
Domestic extraction of mineral raw materials
Differences/advantages to air emission inventory; added value
Eurostat – Unit E2 Frédéric NAUROY
A SUMMARY NOTE ON REVISED GDP ESTIMATES
EW-MFA Training Workshop –
Environmental Accounts Working Group March 2011
PEFA Physical Energy Flow Accounts
Calculation of Raw material Equivalents (RME) for EU-27
EW-MFA Training Workshop –
Introduction to the System of Environmental-Economic Accounts Central Framework (SEEA-CF 2012) European Statistical Training Programme (ESTP): Environmental.
PEFA Physical Energy Flow Accounts
Eurostat – Unit E2 Maaike Bouwmeester
Activity report (point 3 of the agenda)
The structure of the SEEA-MFA manual
Italian traded products RME,
Extensions to the core system
Physical Energy Flow Accounts (PEFA) - Delegated act 2016/172 on energy products for PEFA European Statistical Training Programme (ESTP) Jasmin Guelden.
SUTs – data sources and bridge tables
Sacha Baud, Jasmin Guelden Sterzl, Eva Milota – Statistics Austria
7 agenda item Transport related compilation issues in Physical Environmental Accounts: conclusions from NAMEA Task Force meeting Meeting of the Working.
Regional Accounts THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
PROVIDING NEW EVIDENCE ON TOURISM TRADE IN VALUE-ADDED
Dutch RMC estimated using EU27 RME coefficients
Supply and Use Tables THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION.
Physical Environmental Accounts - Communication and dissemination Using environmental accounts for policy needs European Statistical Training Programme.
Imports and Exports Tables B, C, D, and E
Jasmin Guelden Sterzl Statistics Austria Vienna, 28 – 30 Mai 2018
Water Accounts ESTP Water Statistics Vienna 2016 Arnulf Schönbauer
Physical Energy Flow Accounts - Example Austria
Water Accounts ESTP Water Statistics Paris 2018 Arnulf Schönbauer
from energy balances to energy accounts
2019 Eurostat grants (point 8 of the agenda)
Waste NAMEAs NAMEA Task Force Meeting 2-3 December 2008
Olav Ljones London group. September 30 , 2008
Presentation transcript:

Physical Environmental Accounts - Common elements and compilation challenges European Statistical Training Programme (ESTP) Sacha Baud, Jasmin Gülden Sterzl, – Statistics Austria Vienna, 28 – 30 Mai 2018 THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION

Greenhouse gas emission statistics - carbon footprints Material flow accounts statistics - material footprints Carbon footprints are one particular analytical application of air emissions accounts (AEA). They can be compiled e.g. by using a modelling approach, based on economic information and air emissions accounts. Using this approach Eurostat estimates the EU-28’s carbon footprint at 7.1 tonnes per person in 2016. Material footprints quantify the worldwide demand for material extractions (biomass, metal ores, non-metallic minerals and fossil energy materials/carriers) triggered by consumption and investment by households, governments and businesses in the EU. Material footprints are compiled with a model, using data from national accounts and material flow accounts. The mainly used indicator for resource use is the domestic material consumption (DMC). But this indicator do not provide an entirely accurate picture of global material footprints because EW-MFA record imports and exports in the actual weight of the traded goods when they cross country borders instead of the weight of materials extracted to produce them. As the former are lower than the latter, EW-MFA and the derived DMC underestimate the material footprint. To adjust for this, the weight of processed goods traded internationally is converted into the corresponding raw material extractions they induce. So import and export flows can be expressed in their raw material equivalents (RME). According to these estimates, EU imports in 2015 were 2.4 times higher when expressed in RME than imports recorded in EW-MFA. Exports were 4.1 times higher. The derived global material footprint, also referred to as raw material consumption (RMC), was 13.9 tonnes per capita in the EU in 2015 and 5.6 % higher than DMC.

Accounting of international flows Residence principle vs. territory principle in AEA and PEFA International bunkers and air transport as specific issues from national emission inventories Imports/exports of materials in MFA For these issues reference is made to the relevant environmental account. Carbon footprints are one particular analytical application of air emissions accounts (AEA). They can be compiled e.g. by using a modelling approach, based on economic information and air emissions accounts. Using this approach Eurostat estimates the EU-28’s carbon footprint at 7.1 tonnes per person in 2016. Material footprints quantify the worldwide demand for material extractions (biomass, metal ores, non-metallic minerals and fossil energy materials/carriers) triggered by consumption and investment by households, governments and businesses in the EU. Material footprints are compiled with a model, using data from national accounts and material flow accounts. The mainly used indicator for resource use is the domestic material consumption (DMC). But this indicator do not provide an entirely accurate picture of global material footprints because EW-MFA record imports and exports in the actual weight of the traded goods when they cross country borders instead of the weight of materials extracted to produce them. As the former are lower than the latter, EW-MFA and the derived DMC underestimate the material footprint. To adjust for this, the weight of processed goods traded internationally is converted into the corresponding raw material extractions they induce. So import and export flows can be expressed in their raw material equivalents (RME). According to these estimates, EU imports in 2015 were 2.4 times higher when expressed in RME than imports recorded in EW-MFA. Exports were 4.1 times higher. The derived global material footprint, also referred to as raw material consumption (RMC), was 13.9 tonnes per capita in the EU in 2015 and 5.6 % higher than DMC.

Allocation of Emissions and Energy to NACE/HH Austrian Example: Energy: Surveys, that provide information on final energy consumption on NACE 2 digit level and households Emissions: three way of allocation to NACE/HH Direct allocation of model-based emissions Based on use energy analysis In transport: based on PEFA Carbon footprints are one particular analytical application of air emissions accounts (AEA). They can be compiled e.g. by using a modelling approach, based on economic information and air emissions accounts. Using this approach Eurostat estimates the EU-28’s carbon footprint at 7.1 tonnes per person in 2016. Material footprints quantify the worldwide demand for material extractions (biomass, metal ores, non-metallic minerals and fossil energy materials/carriers) triggered by consumption and investment by households, governments and businesses in the EU. Material footprints are compiled with a model, using data from national accounts and material flow accounts. The mainly used indicator for resource use is the domestic material consumption (DMC). But this indicator do not provide an entirely accurate picture of global material footprints because EW-MFA record imports and exports in the actual weight of the traded goods when they cross country borders instead of the weight of materials extracted to produce them. As the former are lower than the latter, EW-MFA and the derived DMC underestimate the material footprint. To adjust for this, the weight of processed goods traded internationally is converted into the corresponding raw material extractions they induce. So import and export flows can be expressed in their raw material equivalents (RME). According to these estimates, EU imports in 2015 were 2.4 times higher when expressed in RME than imports recorded in EW-MFA. Exports were 4.1 times higher. The derived global material footprint, also referred to as raw material consumption (RMC), was 13.9 tonnes per capita in the EU in 2015 and 5.6 % higher than DMC.

Allocation of Emissions and Energy to NACE/HH Emissions are not directly related to energy consumption for all use purposes or for all NACE industries. However: If there is a final energy consumption in a NACE industry, there has to be some sort of emission (used by Eurostat as check of the PEFA-Questionnaire) Carbon footprints are one particular analytical application of air emissions accounts (AEA). They can be compiled e.g. by using a modelling approach, based on economic information and air emissions accounts. Using this approach Eurostat estimates the EU-28’s carbon footprint at 7.1 tonnes per person in 2016. Material footprints quantify the worldwide demand for material extractions (biomass, metal ores, non-metallic minerals and fossil energy materials/carriers) triggered by consumption and investment by households, governments and businesses in the EU. Material footprints are compiled with a model, using data from national accounts and material flow accounts. The mainly used indicator for resource use is the domestic material consumption (DMC). But this indicator do not provide an entirely accurate picture of global material footprints because EW-MFA record imports and exports in the actual weight of the traded goods when they cross country borders instead of the weight of materials extracted to produce them. As the former are lower than the latter, EW-MFA and the derived DMC underestimate the material footprint. To adjust for this, the weight of processed goods traded internationally is converted into the corresponding raw material extractions they induce. So import and export flows can be expressed in their raw material equivalents (RME). According to these estimates, EU imports in 2015 were 2.4 times higher when expressed in RME than imports recorded in EW-MFA. Exports were 4.1 times higher. The derived global material footprint, also referred to as raw material consumption (RMC), was 13.9 tonnes per capita in the EU in 2015 and 5.6 % higher than DMC.

Questions?