THE ROLE OF INPUT–OUTPUT ANALYSIS FOR THE SCREENING OF CORPORATE CARBON FOOTPRINTS

By Y. A. Huang, Manfred Lenzen, C. Weber, Joy Murray, S. Matthews. 2009

177 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/c6b4e1d36c79430fbc4f9085f04119a47fb9f211

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. T. Wiedmann
2. Manfred Lenzen
3. G. P. Peters
4. J. Barrett
5. K. Scott
6. Edgar G. Hertwich
7. Robbie M. Andrew
8. Justin Kitzes

In Environmental Engineering

1. T. Wiedmann
2. G. P. Peters
3. J. Barrett
4. Manfred Lenzen
5. K. Scott
6. Edgar G. Hertwich
7. Robbie M. Andrew
8. D. Guan

In Strategy and Management

1. T. Wiedmann
2. G. P. Peters
3. Manfred Lenzen
4. J. Barrett
5. Stefan Lewandowski
6. K. Scott
7. Mark S. Daskin
8. S. Benjaafar

Citations in the corpus

• Corporate Carbon and Financial Performance: A Meta‐analysis (2018, background): “For some sectors, “the largest sources of emissions may be buried further upstream than many companies may have previously perceived” (Huang et al. 2009, 217).”
• Consumption-based GHG emission accounting: a UK case study (2013, background): “(2011); University of Leeds with the Centre for Sustainability Accounting; Kanemoto et al. (2011). 6 Barrett et al.”
• Carbon Footprint and the Management of Supply Chains: Insights From Simple Models (2013, background): “An important stream in this literature also uses economic input–output (EIO) modeling to account for carbon emissions at a sector level in the economy and to study the impact of one sector on the carbon emissions of other sectors [31]–[34].”
• INPUT–OUTPUT ANALYSIS AND CARBON FOOTPRINTING: AN OVERVIEW OF APPLICATIONS (2009, unknown): “Moreover, by undertaking analyses within such a consistent accounting framework, better comparability can be achieved, relative to other bottom-up resource flow methodologies (Wiedmann et al, 2006 ; see also the article of Huang et al, 2009 ).”