CONSTRUCTING AN ENVIRONMENTALLY-EXTENDED MULTI-REGIONAL INPUT–OUTPUT TABLE USING THE GTAP DATABASE
By G. P. Peters, Robbie M. Andrew, J. Lennox. 2011
368 citations recorded by the source corpus.
Subfields: Automotive Engineering, Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/01e4736363bc48828fe09d9c77a8464bae87f028
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- E. Dietzenbacher
- Manfred Lenzen
- Arnold Tukker
- K. Wiebe
- Richard Wood
- G. P. Peters
- Robbie M. Andrew
- D. Guan
In Economics and Econometrics
- Manfred Lenzen
- Richard Wood
- G. P. Peters
- D. Guan
- Edgar G. Hertwich
- E. Dietzenbacher
- Klaus Hubacek
- T. Wiedmann
In Environmental Engineering
- Manfred Lenzen
- Richard Wood
- Edgar G. Hertwich
- D. Guan
- G. P. Peters
- E. Dietzenbacher
- T. Wiedmann
- S. Giljum
Citations in the corpus
- GLOBAL MULTIREGIONAL INPUT–OUTPUT FRAMEWORKS: AN INTRODUCTION AND OUTLOOK (2013, methodology): “…did not exist and individual researchers have used existing databases with national IOTs and trade data for their studies (see, e.g. Ahmad and Wyckoff, 2003; Bruckner et al., 2012; Yamano, 2012, using the OECD database, or Peters and Hertwich, 2008; Peters et al., 2011a, using the GTAP database).”
- Poverty and distributional effects of carbon pricing in low- and middle-income countries – A global comparative analysis (2019, methodology): “We use a procedure described by Peters, Andrew, and Lennox (2011), which traces the interdependencies 3 Following the literature, we use consumption expenditure data as proxy for lifetime income to divide households into income groups.”
- Entropy-based Chinese city-level MRIO table framework (2021, methodology): “We utilise a similar approach that has been previously used to construct MRIOs (Feng et al., 2013; Peters et al., 2011).”
- Global carbon inequality (2017, background): “…land use (Weinzettel et al. 2013; Yu et al. 2013), biodiversity (Lenzen et al. 2012a), water consumption (Feng et al. 2011), pollutants such as SO2 (Prell et al. 2014) and frequently to CO2 and other greenhouse gas (GHG) emissions (e.g., Prell and Feng 2016; Davis et al. 2011; Peters et al. 2011).”
- THE CONSTRUCTION OF WORLD INPUT–OUTPUT TABLES IN THE WIOD PROJECT (2013, background): “(15) A major advantage of this procedure is that the imports of goods do not rely on the standard proportionality assumption that is popular in the literature and applied in various other databases, see, for example, Peters et al. (2011) and Johnson and Noguera (2012).”
- Affluence drives the global displacement of land use (2013, methodology): “The modeling is similar to the analysis of CO2 embodied in trade (Peters et al., 2011b), but the more detailed extensions allow us to trace traded agricultural commodities in the more detailed classification of the FAO database.”
- EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi‐Regional Input‐Output Tables (2018, background): “The single-region import table can then be disaggregated to point of origin assuming that each industry and final consumer purchase the same relative portion of goods from exporting countries (known as the “pro-portionality assumption” cf Peters et al. [2011]; Rodrigues et al. [2016]).”
- To RAS or not to RAS? What is the difference in outcomes in multi-regional input–output models? (2016, methodology): “Current state-of-the-art MRIO databases and corresponding models are, for example, Global Trade Analysis Project (Peters et al., 2011), Eora CONTACT Kirsten S. Wiebe wiebe@gws-os.com Supplemental data for this article can be accessed here. http://dx.doi.org/10.1080/09535314.2016.1192528 1…”
- Is Local Food More Environmentally Friendly? The GHG Emissions Impacts of Consuming Imported versus Domestically Produced Food (2014, background): “King et al. (2010), find that fuel use is more affected by 3 See Peters et al. (2011). supply chain structure (e.g. size and number of segments) than by the distance traveled by the food product itself.”