CALCULATING ENERGY-RELATED CO2 EMISSIONS EMBODIED IN INTERNATIONAL TRADE USING A GLOBAL INPUT–OUTPUT MODEL

By K. Wiebe, M. Bruckner, S. Giljum, Christian M. Lutz. 2012

163 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/f3f35bfdc0e5fe4ceee9c374e626788932c7fc24

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Citations in the corpus

To RAS or not to RAS? What is the difference in outcomes in multi-regional input–output models? (2016, methodology): “This, however, results in output and valueadded data that diverge from the original data, see Appendix B in Wiebe et al. (2012).”
Tracing CO2 emissions in global value chains (2018, unknown): “…collectively have higher consumption-based emissions than territory-based emissions, meaning that they are net importers of emissions and thereby benefit from environmentally intensive production abroad (Davis and Caldeira 2010; Peters et al. 2011; Wiebe et al. 2012; Arto and Dietzenbacher 2014).”
What drives carbon dioxide emissions in the long-run? Evidence from selected South Asian Countries (2016, methodology): “Wiebe et al. (2012) using consumption-based approach to emission found that the net imports of OECD (developed) countries increased by 80% between 1995 and 2005 while the net exports of BRICSA and non-OECD countries increased for the same period of time therefore supporting the Pollution Haven…”
EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi‐Regional Input‐Output Tables (2018, background): “A similar drawback of limited sector detail exists for Organization for Economic Cooperation and Development (OECD) InterCountry Input-Output Database (ICIO) (Wiebe and Yamano 2016) and the related Global Resource Accounting Model (GRAM) global EE MRIO model (Wiebe et al. 2012).”
How economic growth, renewable electricity and natural resources contribute to CO2 emissions? (2018, background): “…effects on environmental degradation for individual countries varies by income, possibly due to policy differences, economic structure, level of economic openness, and country-specific variations (Baek et al., 2009; Wiebe et al., 2012; Mudakkar et al., 2013; Ozturk, 2015; Khan et al., 2016).”
BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION (2013, background): “This means that in a real MRIO table, either balancing conditions must be violated or raw data misrepresented (compare with Wiebe et al., 2012).”
THE CONSTRUCTION OF WORLD INPUT–OUTPUT TABLES IN THE WIOD PROJECT (2013, background): “See also Oosterhaven et al. (2008) on the Asian International IOTs project, Wang et al. (2010) on a project at the US International Trade Commission and Wiebe et al. (2012) on the Global Resource Accounting Model project.”
GLOBAL MULTIREGIONAL INPUT–OUTPUT FRAMEWORKS: AN INTRODUCTION AND OUTLOOK (2013, methodology): “…researchers started to use existing collections of national IOTs and aggregated trade data to estimate GMRIO tables (see Ahmad and Wyckoff, 2003; Wiebe et al., 2012a; 2012b, which are based on the OECD database, and Peters and Hertwich, 2008; Hertwich and Peters, 2009; Wilting and Vringer,…”
Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels (2016, background): “…degradation from individual countries varies according to their income levels, and this may be due to differences in policy, economic structure, level of economic openness and country-specific variables (Baek et al., 2009; Naranpanawa, 2011; Wiebe et al., 2012; Forslid and Okubo, 2014).”
Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives (2017, background): “For example, some studies include carbon, water, and ecological land footprints of households [107,108], consumption and production [85,109], international trade [110], transportation [111], and nations [112,113].”