Comparing the Gtap-Mrio and Wiod Databases for Carbon Footprint Analysis

Arto, Iñaki; Rueda‐Cantuche, José M.; Peters, Glen P.

doi:10.1080/09535314.2014.939949

Cited by 87 publications

(51 citation statements)

References 31 publications

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“…Although the majority of previous LCSA studies using IO analysis were case studies focusing on sustainability impacts of products or processes in a single country [95], a MRIO analysis is critical for taking into account the role of international trade [96,97]. This is important since the majority of countries are open economies and life-cycle sustainability impacts of products are found in the geographical boundary of multiple countries [98,99].…”

Section: Broadening the Object Of Analysis: Revealing Macro-level Impmentioning

confidence: 99%

“…Overall, the use of MRIO databases might result in significant uncertainties in LCSA results. To minimize such uncertainties, one suggested method is to make comparisons between different MRIO databases [96,150,154]. As an alternative method, the authors suggested an uncertainty analysis of economic input-output relationships and environmental intensity vectors that can improve the validity of the result presented in MRIO studies.…”

Section: Challenges and Future Directionsmentioning

confidence: 99%

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Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives

et al. 2017

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Abstract:Tracking the environmental impacts of production, use, and disposal of products (e.g., goods, and services) have been an important issue in the global economy. Although Life Cycle Assessment (LCA) is a widely applied method to track these environmental impacts and support policies, it has certain limitations and an isolated way of evaluating the environmental impacts with no consideration of social and economic impacts and mechanisms. To overcome the limits of current LCA, three mechanisms have been proposed in the literature: (1) broadening the indicators by including social and economic indicators in addition to the environmental impacts; (2) broadening the scope of analysis from product-level assessment to national and global levels; (3) deepening the assessment by inclusion of more mechanisms to account for interrelations among the system elements, uncertainty analysis, stakeholder involvement, etc. With these developments, LCA has been evolving into a new framework called Life Cycle Sustainability Assessment (LCSA). Practical application of LCSA requires integration of various methods, tools, and disciplines. In this study, a comprehensive literature review is conducted to investigate recent developments, current challenges, and future perspectives in the LCSA literature. According to the review, a high number (40%) of LCSA studies are from the environmental science discipline, while contributions from other disciplines such as economics (3%) and social sciences (9%) are very low. On broadening the scope of analysis, 58% of the studies are product-level works, while 37% quantified the impacts at national level and achieved an economy-wide analysis, and only 5% of the studies were able to quantify the global impacts of products using LCSA framework. Furthermore, current applications of LCSA have not considered the rebound effects, feedback mechanisms, and interrelations of the system of interest sufficiently. To address these challenges, we present a complete discussion about the overarching role of systems thinking to bring tools, methods and disciplines together, and provide practical examples from the earlier studies that have employed various system-based methods. We discuss the importance of integrated system-based methods for advancement of LCSA framework in the following directions: (1) regional and global level LCSA models using multi-region input-output analysis that is capable of quantitatively capturing macro-level social, environmental, and economic impacts; (2) dealing with uncertainties in LCSA during multi-criteria decision-making process and expert judgments in weighting of LCSA indicators; and (3) integration of system dynamics modeling to reveal complex interconnections, dependencies, and causal relationships between sustainability indicators.

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Section: Broadening the Object Of Analysis: Revealing Macro-level Impmentioning

confidence: 99%

Section: Challenges and Future Directionsmentioning

confidence: 99%

Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives

et al. 2017

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“…The factor energy (E) is further split up into 26 types of energy, from which CO 2 e emissions of production are derived, a part of which constitutes the domestic indirect CO 2 e emissions of households. The imported indirect CO 2 e emissions of households are taken from simulation results with a MRIO model (Arto et al, 2014). The labour market is specified via wage curves, where wage increases by industry depend on productivity, the consumer price and the distance to full employment.…”

Section: The Modelmentioning

confidence: 99%

The Carbon Footprint of European Households and Income Distribution

Sommer

Kratena

2017

Ecological Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This paper calculates the CO 2 e (CO 2 equivalents) footprint of private consumption in the EU27 by five groups of household income, using a fully fledged macroeconomic input-output model covering 59 industries and five groups of household income for the EU27. Due to macroeconomic feedback mechanisms, this methodology not only takes into account intermediate demand induced by the demand of a household group, but also: (i) private consumption induced in the other household groups, (ii) impacts on other endogenous final demand components, and (iii) negative feedback effects due to output price effects of household demand. Direct household emissions from household energy consumption are taken into account in a non-linear specification. Emissions embodied in imports are calculated using the results of a static MRIO (Multi-Regional Input-Output) model. The footprint is calculated separately for the consumption vector of each of the five income groups. The simulation results yield an income elasticity of direct and indirect emissions at each income level that takes all macroeconomic feedbacks of consumption into account and differs from the ceteris paribus emission elasticity in the literature. The results further reveal that a small structural 'Kuznet effect' exists. Terms of use: Documents in______________________________________________________________________

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“…Empirical assessments revealed the level of differences in carbon footprints calculated with the various MRIO models (Arto et al, 2014;Inomata and Owen, 2014;Owen et al, 2014aOwen et al, , 2014bWilting, 2012). However, in order to inform policy development, findings derived from different MRIO models should have similar overall messages.…”

Section: Introductionmentioning

confidence: 99%

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Wieland

Giljum

Brückner

et al. 2017

Economic Systems Research

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Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments ABSTRACTRecent empirical assessments revealed that footprint indicators calculated with various multi-regional input-output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains. ARTICLE HISTORY

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Comparing the Gtap-Mrio and Wiod Databases for Carbon Footprint Analysis

Cited by 87 publications

References 31 publications

Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives

Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives

The Carbon Footprint of European Households and Income Distribution

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

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