A review of recent multi-region input–output models used for consumption-based emission and resource accounting

By T. Wiedmann. 2009

1,198 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/67e6d642ae005acb9db1daab63e65e5a786e4929

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. D. Guan
3. T. Wiedmann
4. G. P. Peters
5. E. Dietzenbacher
6. Edgar G. Hertwich
7. Richard Wood
8. Klaus Hubacek

In Environmental Engineering

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

In Renewable Energy, Sustainability and the Environment

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

Citations in the corpus

• Assessment of China's virtual air pollution transport embodied in trade by using a consumption-based emission inventory (2014, background): “It should be noted that our consumption-based accounting procedure should not be interpreted as assigning all economic or ethical responsibility for pollution to consumers (Wiedmann, 2009; Davis and Caldeira, 2010; Guan et al., 2014a); it represents a critical source of information for consideration”
• BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION (2013, background): “One of the better known concepts that utilise these frameworks are carbon footprints (Minx et al., 2009; Wiedmann, 2009a).”
• Determinants of global CO2 emissions growth (2016, neutral): “The GMRIO framework has been widely accepted to analyze the global energy consumption and CO2 emissions growth (see, Wiedmann, 2009; Arto and Dietzenbacher, 2015; Mundaca et al., 2015; Zhang et al., 2015; Brizga et al., 2016; Lan et al., 2016).”
• A synthesis of carbon in international trade (2012, methodology): “We restrict our comparisons to global studies using MRIO approaches, despite the existence of many country-specific studies (see the review articles; Wiedmann, 2009; Wiedmann et al., 2007).”
• 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).”
• Identifying primary energy requirements in structural path analysis: A case study of China 2012 (2017, background): “Since input-output models considering both intermediate and final use 19 can capture the economic relationships among industrial sectors [21], a series of studies 20 have carried out input–output analyses for energy, water and emission embodiments in 21 the economic activities at different scales [2”
• Labor Embodied in Trade (2015, background): “Based on the concept of allocation of life cycle and upstream supply-chain impacts to final goods and services consumed, it is used to evaluate the total impacts of lifestyles (Peters and Hertwich 2006; Wiedmann 2009).”
• GLOBAL MULTIREGIONAL INPUT–OUTPUT FRAMEWORKS: AN INTRODUCTION AND OUTLOOK (2013, background): “Countless practitioners have done case studies using (national) IO databases (see, e.g. Wiedmann, 2009; Hoekstra, 2010, for detailed overviews of environmental applications).”
• APPROXIMATION AND REGIONAL AGGREGATION IN MULTI-REGIONAL INPUT–OUTPUT ANALYSIS FOR NATIONAL CARBON FOOTPRINT ACCOUNTING (2009, background): “(2007) and Wiedmann (in press) for a comprehensive review), and many have made significant approximations.”
• Measuring telecouplings in the global land system: A review and comparative evaluation of land footprint accounting methods (2015, positive): “Multi-regional input–output (MRIO) models link IOTs of several countries or regions via bilateral trade flows and are capable of tracking global supply chains using country specific information on production technologies and economic structures (Wiedmann, 2009; Wiedmann et al., 2011).”