The DOI matches its Crossref record.
UNCERTAINTY ANALYSIS FOR MULTI-REGION INPUT–OUTPUT MODELS – A CASE STUDY OF THE UK'S CARBON FOOTPRINT
Abstract
This paper reviews and demonstrates methods available for estimating standard deviations for carbon multipliers in a multi-regional input–output (MRIO) framework. We attempt to capture all possible variations of underlying data and calculation procedures in a global MRIO model constructed with particular focus on the UK. We consider these variations to be random, and determine the stochastic variation of the whole MRIO system using Monte Carlo techniques. 5000 simulation runs were carried out to determine the standard deviations of multipliers. From these, the standard deviations of components of the UK's carbon footprint were estimated using error propagation. We estimate an 89% probability that the UK's carbon footprint has increased between 1994 and 2004.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Environmental and social footprints of international trade
Wiedmann, T., & Lenzen, M. (2018) · Nature Geoscience · doi:10.1038/s41561-018-0113-9 · Cited by 986
Self-citationMarques, A., Martins, I. S., Kastner, T., Plutzar, C., Theurl, M. C., Eisenmenger, N., Huijbregts, M. A. J., Wood, R., Stadler, K., Bruckner, M., et al. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-019-0824-3 · Cited by 517
Self-citationWiedmann, T., Wilting, H. C., Lenzen, M., Lutter, S., & Palm, V. (2011) · Ecological Economics · doi:10.1016/j.ecolecon.2011.06.014 · Cited by 405
Self-citationGlobal socio-economic losses and environmental gains from the Coronavirus pandemic
Lenzen, M., Li, M., Malik, A., Pomponi, F., Sun, Y.-Y., Wiedmann, T., Faturay, F., Fry, J., Gallego, B., Geschke, A., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0235654 · Cited by 363
Self-citationGlobal land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains
Chen, B., Han, M. Y., Peng, K., Zhou, S. L., Shao, L., Wu, X. F., Wei, W. D., Liu, S. Y., Li, Z., Li, J. S., et al. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.09.138 · Cited by 357
Metadata
- Authors
- Lenzen, M., Wood, R., & Wiedmann, T.
- Venue
- Economic Systems Research
- Publisher
- Informa UK Limited
- Published
- 2010-03
- Volume
- 22
- Issue
- 1
- Pages
- 43-63
- ISSN
- 0953-5314 (ISSN-L)
- 1469-5758
- OpenAlex
- W1995279433
- Cited by
- 304
- References
- 0
- FWCI
- 17.05
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: UNCERTAINTY ANALYSIS FOR MULTI-REGION INPUT–OUTPUT MODELS – A CASE STUDY OF THE UK'S CARBON FOOTPRINT. https://app.cochat.ai/papers/10.1080/09535311003661226
- The paper
- Lenzen, M., Wood, R., & Wiedmann, T. (2010). UNCERTAINTY ANALYSIS FOR MULTI-REGION INPUT–OUTPUT MODELS – A CASE STUDY OF THE UK'S CARBON FOOTPRINT. Economic Systems Research. https://doi.org/10.1080/09535311003661226
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
