Tags: carbon dioxide emissions, carbon emissions, dabo, defra, dr john barrett, environment food, gov uk, guan, isa centre, lenzen, minx, output tables, previous project, project ref, randd, rural affairs, stockholm environment institute, sydney views, thomas wiedmann, university of sydney,
DEVELOPMENT OF AN
EMBEDDED CARBON
EMISSIONS INDICATOR
A research report to the Department for
Environment, Food and Rural Affairs by
the Stockholm Environment Institute and
the University of Sydney
Integrated Sustainability Analysis
DEVELOPMENT OF AN EMBEDDED CARBON EMISSIONS
INDICATOR
Producing a Time Series of Input-Output Tables and Embedded
Carbon Dioxide Emissions for the UK by Using a MRIO Data
Optimisation System
Final Report to the Department for Environment, Food and Rural Affairs
Project ref.: EV02033
Project website accessible via: http://randd.defra.gov.uk
June 2008
Suggested citation for this report:
Wiedmann, T., Wood, R., Lenzen, M., Minx, J., Guan, D. and Barrett, J. (2007)
Development of an Embedded Carbon Emissions Indicator Producing a Time
Series of Input-Output Tables and Embedded Carbon Dioxide Emissions for the UK
by Using a MRIO Data Optimisation System, Report to the UK Department for
Environment, Food and Rural Affairs by Stockholm Environment Institute at the
University of York and Centre for Integrated Sustainability Analysis at the University
of Sydney, June 2008. Defra, London, UK
Dr Thomas Wiedmann, Jan Minx, Dabo Guan, Dr John Barrett
Stockholm Environment Institute, University of York
Prof Manfred Lenzen, Richard Wood
ISA Centre for Integrated Sustainability Analysis, University of Sydney
Views expressed in this report are those of the authors and do not necessarily reflect those of Defra.
Executive Summary
1. This report describes work and results from the project `Development of an
Embedded Carbon Emissions Indicator', undertaken by the Stockholm
Environment Institute and the University of Sydney on behalf of Defra (Project
Ref.: EV02033). The work is a follow-up of a previous project where the most
appropriate approach to constructing a robust account of impacts of trade and
thus overall consumption in a headline indicator for Sustainable Development
was identified. The present work describes the implementation of such a model.
2. The project aim was to develop and implement an initial data and model
framework (called "UK-MRIO 1") for the flexible adaptation of national input-
output and environmental databases for use in a multi-region environmental
input-output model in the future, thus setting the basis for detailed multi-country
analyses of environmental impacts associated with UK trade flows. This aim
was not only achieved but actually exceeded in that a fully functional MRIO
model with four regions (UK + three world regions) was assembled and a time
series of balanced input-output data and embedded CO2 emissions was
produced on the full 123 sector level.
3. An updated review of recent literature on the estimation of emissions
embedded in international trade confirms the trend towards accounting for
'consumer emissions' ('carbon consumption') in various countries. In 2007
alone, a respectable number of models has been developed worldwide in order
to estimate emissions embedded in international trade of numerous countries
and regions. Almost all of the studies present input-output based approaches
and the use of multi-region input-output models is already well established.
4. As a tangible outcome of the current project we have constructed a time series
of input-output tables for the UK from 1992 to 2004 by using the novel matrix
balancing procedure CRAS, which is able to handle conflicting external data
and inconsistent constraints. These tables are similar to the "Analytical IO
Tables 1995" published by the Office for National Statistics (ONS) and include
symmetric input-output tables (SIOT) for domestic transactions and imports for
each year from 1992 to 2004. These tables represent an approximation of real
economic activity close and robust enough for modelling purposes. The full time
series of SIOTs also fills a gap in the public availability of symmetric tables
which is due to an ongoing modernisation programme of the National Accounts.
The ONS plays an important role in that it holds essential economic and
environmental data that could help to improve the accuracy and policy
relevance of the model.
5. We have also calculated a time series of direct and indirect carbon dioxide
emissions associated with UK economic activities was produced, in particular
emissions that are embedded in UK trade. Consumer emissions (CE) are
significantly higher than producer emissions (PE) or the UNFCCC national total
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(in 2004, CE are 132 Mt or 21% higher than PE and over 200 Mt or 37% higher
than the national total reported to the UNFCCC, including overseas territories.
6. CO2 emissions embedded in imports (EEI) are higher than emissions
embedded in exports (EEE) for all years and there is a clear trend towards
increasing EEI, which went up from 4.3% of producer emissions in 1997 to 21%
in 2004.
7. From the three world regions investigated in this project, the Rest of the World
region (which includes Asia) contributes most to EEI. This dominance has
increased sharply in the last couple of years while EEI from non-European
OECD countries have fallen significantly at the same time.
8. Another interesting result is that from all emissions embedded in UK exports
(EEE), 27% came from imports to the UK in 1992; this figure increased steadily
over the years ending up with 39% of EEE coming from import sources in 2004.
9. The results for embedded CO2 emissions from the UK-MRIO 1 model are in
line with findings from other researchers. Previous studies applying a range of
different methodologies (SRIO, MRIO, MFA) also suggest that more embedded
CO2 emissions are imported to the UK than exported.
10. Most time and resources of the project were devoted to compiling initial data,
estimating missing data and balancing conflicting data in the right way as this is
the most crucial part of a MRIO framework. This ensures consistency,
robustness and repeatability of the whole approach. A sensitivity analysis
based on Monte-Carlo simulation will be undertaken as a follow-up project in
order to quantify the uncertainty associated with the results.
11. The UK-MRIO system is based on a supply and use table (SUT) framework.
This has several advantages, such as better data availability for initial
estimates, flexibility of expansion, conservation of sector disaggregation and
the option of adopting different technology assumptions for the creation of
symmetric tables.
12. Availability of input-output data for both the UK and the Rest of the World
(ROW) was reviewed and assessed. Although SUTs are annually published by
ONS, these are not suitable for modelling purposes straight away and therefore
had to be supplemented with information from Eurostat and balanced before
they could be used. Crucial information such as imports and transition matrices
are only available from the UK Analytical Tables from 1995 and thus it had to
be assumed that the structure of these tables would not change over a period
of twelve years. It is hoped that the modernisation of UK National Accounts will
eventually provide more up-to-date information useful for (environmental) input-
output modelling.
13. For ROW data, several data sources were evaluated towards their suitability for
the UK-MRIO 1 model. Data for three major world regions from an earlier study
could be obtained from the Netherlands Environmental Assessment Agency
(MNP) for the years 1997 and 2001. These transaction matrices from the
Global Trade Analysis Project (GTAP) are at a 30-sector level, comprise
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OECD-Europe, other OECD and non-OECD countries and were deemed to be
best suited for the initial UK-MRIO 1 model as they cover two years and are
compatible with the scope of the project.
14. Trade data were taken from HM Revenue and Customs, but only the years
from 1995 onwards could be covered with this data source. Great care was
taken to obtain an accurate picture of imports to the UK from the three world
regions. Total imports were brought in line with totals in the official SUTs
provided by ONS.
15. A challenge is posed by detail and classification differences between the
economic and environmental (CO2) data for both the UK and the three world
regions. CO2 emission intensities can only be distinguished for 76 sectors in the
UK and 18 sectors abroad, although the model is set up with 123 and 30
sectors, respectively. This is a significant limitation of the current model which
needs to be addressed in future work.
16. The current model is a major step towards a fully fledged multi-region input-
output model featuring multidirectional trade of a substantial number of UK
trading partners. UK-MRIO 1 is already the most detailed and comprehensive
modelling approach for the estimation of CO2 emissions embedded in UK trade
with high relevance for national and international environmental policy-making.
The model can be used to produce a range of outputs, for example more
detailed results for industry sectors, foreign economies, or other pollutants.
17. We suggest that the results from the current UK-MRIO 1 model be published in
two ways. First, academic publications in peer-reviewed, scientific journals
should be sanctioned and supported in order to get critical feedback on the
methodology from the wider scientific community. Second, an 'embedded CO2
indicator' showing a time series of CO2 emissions from a consumption
perspective ("carbon consumption") should be considered for publication with
official UK statistics, alongside already existing greenhouse gas emission
trends. This would give a more complete picture of emissions induced by UK
economic activity. Even further revisions of method and data are not thought to
generally refute the clear and robust trend that has emerged for consumer
emissions.
18. Our recommendations for further research include general model expansions
and enhancements ("UK-MRIO 2"), improvement of CO2 and other
environmental data, inclusion of individual countries and multi-directional trade,
further sector disaggregation, and a comparison of currency conversion
options.
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