UNCERTAINTY ANALYSIS FOR MULTI-REGION INPUT–OUTPUT MODELS – A CASE STUDY OF THE UK'S CARBON FOOTPRINT

By Manfred Lenzen, Richard Wood, T. Wiedmann. 2010

301 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/c3ba23392e59121728f64711e1fb5688487473bc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Manfred Lenzen
2. T. Wiedmann
3. G. P. Peters
4. Richard Wood
5. D. Guan
6. Edgar G. Hertwich
7. Klaus Hubacek
8. Robbie M. Andrew

In Environmental Engineering

1. Manfred Lenzen
2. T. Wiedmann
3. Richard Wood
4. G. P. Peters
5. Edgar G. Hertwich
6. D. Guan
7. S. Giljum
8. Klaus Hubacek

In Renewable Energy, Sustainability and the Environment

1. Manfred Lenzen
2. T. Wiedmann
3. Edgar G. Hertwich
4. G. P. Peters
5. Richard Wood
6. D. Guan
7. Klaus Hubacek
8. J. Barrett

Citations in the corpus

• Identifying critical supply chains and final products: An input-output approach to exploring the energy-water-food nexus (2018, background): “National level CBAs use the sum of the entire table and have shown have a low uncertainty in the final figure [52].”
• Carbon footprints and embodied carbon at multiple scales (2010, methodology): “Uncertainty analysis has been poorly treated in many studies, but recent progress has been made [9 ,63 ].”
• INPUT–OUTPUT ANALYSIS AND CARBON FOOTPRINTING: AN OVERVIEW OF APPLICATIONS (2009, unknown): “A Monte Carlo analysis of our UK MRIO model (Wiedmann et al., 2008; Lenzen et al., 2010) showed that, whilst CF estimates for the whole of the economy analysis were quite robust, the uncertainty for some individual sectors can be high, meaning that results at the sectoral level cannot always be…”
• The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis (2018, background): “For a summary, see for example Wiedmann (2009), Lenzen et al. (2010), Daniels et al. (2011), and Wiedmann et al. (2011).”
• Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives (2017, methodology): “The findings of recent studies also showed that disaggregation of IO data are superior to aggregating environmental data in determining IO multipliers and minimize uncertainties [149,150].”
• A CARBON FOOTPRINT TIME SERIES OF THE UK – RESULTS FROM A MULTI-REGION INPUT–OUTPUT MODEL (2010, methodology): “The methodology and results of this analysis have been presented in a parallel paper in Economic Systems Research (Lenzen et al, 2010 , this issue).”
• BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION (2013, methodology): “For further details on the method, see Wiedmann et al. (2008) and Lenzen et al. (2010).”
• Mapping the carbon footprint of EU regions (2017, background): “…(CES data had no uncertainty estimates associated with it), national level studies point to uncertainty ranges of about 5%–10% for carbon footprints (Lenzen et al 2010, Karstensen et al 2015, Moran and Wood 2014), with relatively higher uncertainty for smaller economies, or in the context of this…”
• Carbon footprints of cities and other human settlements in the UK (2013, methodology): “For our multi-regional input–output model, an explicit formal uncertainty analysis has been carried out (Lenzen et al 2010).”
• Growth in Environmental Footprints and Environmental Impacts Embodied in Trade: Resource Efficiency Indicators from EXIOBASE3 (2018, background): “Much less work has been done on stochastic uncertainty, although some authors (Lenzen 2011; Lenzen et al. 2010, 2013a; Moran and Wood 2014; Karstensen et al. 2015) address the issue, finding significant cancellation of stochastic errors (assuming no correlation) at the country level, resulting in…”