Towards accepted procedures for calculating international consumption-based carbon accounts

References

• Andrew, R., Peters, G., & Lennox, J. (2009). Approximation and regional aggregation in multi-regional input-output analysis for national carbon footprint accounting. Economic Systems Research, 21, 311–335.
   Web of Science ®Google Scholar
• Arto, I., Rueda-Cantuche, J. M., & Peters, G. P. (2014). Comparing the GTAP-MRIO and WIOD databases for carbon footprint analysis. Economic Systems Research, 26, 327–353.
   Web of Science ®Google Scholar
• Bouwmeester, M. C., & Oosterhaven, J. (2013). Specification and aggregation errors in Environmentally extended input-Output models. Environmental and Resource Economics, 56(3), 307–335.
   Web of Science ®Google Scholar
• Chen, Q., Zhu, K., Liu, P., Chen, X., Tian, K., Yang, L., & Yang, C. (2019). Distinguishing China's processing trade in the world input-output table and quantifying its effects. Economic Systems Research, 31, 361–381.
   Web of Science ®Google Scholar
• Dalgaard, E., & Gysting, C. (2004). An algorithm for balancing commodity-flow systems. Economic Systems Research, 16, 169–190.
   Google Scholar
• Dawkins, E., Moran, D., Palm, V., Wood, R., & Björk, I. (2019). The Swedish footprint: A multi-model comparison. Journal of Cleaner Production, 209, 1578–1592.
   Web of Science ®Google Scholar
• de Koning, A., Bruckner, M., Lutter, S., Wood, R., Stadler, K., & Tukker, A. (2015). Effect of aggregation and disaggregation on embodied material use of products in input-output analysis. Ecological Economics, 116, 289–299.
   Web of Science ®Google Scholar
• Dietzenbacher, E., Los, B., Stehrer, R., Timmer, M., & de Vries, G. (2013). The construction of world input–output tables in the WIOD project. Economic Systems Research, 25, 71–98.
   Web of Science ®Google Scholar
• Edens, B., Hoekstra, R., Zult, D., Lemmers, O., Wilting, H., & Wu, R. (2015). A method to create carbon footprint estimates consistent with national accounts. Economic Systems Research, 27(4), 440–457.
   Web of Science ®Google Scholar
• Genty, A., Arto, I., & Neuwahl, F. (2012). Final database of environmental satellite accounts: Technical report on their compilation.
   Google Scholar
• Geschke, A., Wood, R., Kanemoto, K., Lenzen, M., & Moran, D. (2014). Investigating alternative approaches to harmonise multi-regional input–output data. Economic Systems Research, 26, 354–385.
   Web of Science ®Google Scholar
• Grubb, M., Crawford-Brown, D., Neuhoff, K., Schanes, K., Hawkins, S., & Poncia, A. (2020). Consumption-oriented policy instruments for fostering greenhouse gas mitigation. Climate Policy, 20(S1), S58–S73. doi: 10.1080/14693062.2020.1730151
   Google Scholar
• Hambÿe, C., Hertveldt, B., & Michel, B. (2018). Does consistency with detailed national data matter for calculating carbon footprints with global multi-regional input–output tables? A comparative analysis for Belgium based on a structural decomposition. Journal of Economic Structures, 7(1), art. no. 11.
   Google Scholar
• Heijungs, R., & Lenzen, M. (2014). Error propagation methods for LCA—a comparison. The International Journal of Life Cycle Assessment, 19, 1445–1461.
   Web of Science ®Google Scholar
• Holzman, M. (1953). Problems of classification and aggregation. In W. Leontief, H. B. Chenery, P. G. Clark, J. S. Duesenberry, A. R. Ferguson, A. P. Grosse, R. N. Grosse, M. Holzman, W. Isard, & H. Kistin (Eds.), Studies in the structure of the American economy (pp. 326–359). New York, NY, USA: Oxford University Press.
   Google Scholar
• Hu, J., Wood, R., Tukker, A., Boonman, H., & de Boer, B. (2019). Global transport emissions in the Swedish carbon footprint. Journal of Cleaner Production, 226, 210–220.
   Web of Science ®Google Scholar
• IEA. (2011a). Energy balances of non-OECD countries (2010 ed.). Paris: International Energy Agency.
   Google Scholar
• IEA. (2011b). Energy balances of OECD countries (2010 ed.). Paris: International Energy Agency.
   Google Scholar
• IEA. (2015a). CO2 Emissions from Fuel Combustion. For download at Retrieved from http://www.iea.org/bookshop/669-CO2_Emissions_from_Fuel_Combustion
   Google Scholar
• IEA. (2015b). World Energy Balances: Database Documentation – 2015 For download at Retrieved from http://wds.iea.org/WDS/tableviewer/document.aspx?FileId=1496
   Google Scholar
• Imbeault-Tétreault, H., Jolliet, O., Deschênes, L., & Rosenbaum, R. K. (2013). Analytical propagation of uncertainty in life cycle assessment using matrix formulation. Journal of Industrial Ecology, 17, 485–492.
   Web of Science ®Google Scholar
• IPCC. (2006). 2006 IPCC Guidelines for national greenhouse Gas inventories. Geneva: National Greenhouse Gas Inventories Programme.
   Google Scholar
• Kanemoto, K., Lenzen, M., Peters, G. P., Moran, D. D., & Geschke, A. (2012). Frameworks for comparing emissions associated with production, consumption and international trade. Environmental Science and Technology, 46, 172–179.
   PubMed Web of Science ®Google Scholar
• Karstensen, J., Peters, G. P., & Andrew, R. M. (2015). Uncertainty in temperature response of current consumption-based emissions estimates. Earth System Dynamics, 6, 287–309.
   Web of Science ®Google Scholar
• Lenzen, M. (2001). Errors in conventional and input-output-based life-cycle inventories. Journal of Industrial Ecology, 4, 127–148.
   Google Scholar
• Lenzen, M. (2011). Aggregation versus disaggregation in input-output analysis of the environment. Economic Systems Research, 23, 73–89.
   Web of Science ®Google Scholar
• Lenzen, M., Gallego, B., & Wood, R. (2009). Matrix balancing under conflicting information. Economic Systems Research, 21, 23–44.
   Web of Science ®Google Scholar
• Lenzen, M., Kanemoto, K., Moran, D., & Geschke, A. (2012). Mapping the structure of the world economy. Environmental Science & Technology, 46, 8374–8381.
   PubMed Web of Science ®Google Scholar
• Lenzen, M., Moran, D., Kanemoto, K., & Geschke, A. (2013). Building Eora: A global multi-region input–output database at high country and sector resolution. Economic Systems Research, 25(1), 20–49.
   Web of Science ®Google Scholar
• Lenzen, M., Pade, L., & Munksgaard, J. (2004). CO2 multipliers in multi-regional input output models. Economic Systems Research, 16(4), 391–412.
   Google Scholar
• Lenzen, M., Wood, R., & Wiedmann, T. (2010). Uncertainty analysis for multi-region input – output models – a case study of the UK'S carbon footprint. Economic Systems Research, 22, 43–63.
   Web of Science ®Google Scholar
• Le Quéré, C., Moriarty, R., Andrew, R. M., Canadell, J. G., Sitch, S., Korsbakken, J. I., … Zeng, N. (2015). Global carbon budget 2015. Earth System Science Data, 7, 349–396.
   Web of Science ®Google Scholar
• Moran, D., & Wood, R. (2014). Convergence between the Eora, WIOD, EXIOBASE, and OpenEU’s consumption-based carbon accounts. Economic Systems Research, 26, 245–261.
   Web of Science ®Google Scholar
• Munksgaard, J., Pedersen, K. A., & Wier, M. (2000). Impact of household consumption on CO2 emissions. Energy Economics, 22, 423–440.
   Web of Science ®Google Scholar
• Nagurney, A., & Robinson, A. G. (1992). Algorithms for quadratic constrained matrix problems. Mathematical and Computer Modelling, 16, 53–65.
   Google Scholar
• Narayanan, G., Badri, A. A., & McDougall, R. (2015). Global trade, assistance, and production: The GTAP 9 data base. West Lafayette: Center for Global Trade Analysis, Purdue University.
   Google Scholar
• OECD. (2013a). Interconnected economies: Benefiting from global value chains. Paris: OECD Publishing.
   Google Scholar
• OECD. (2013b). OECD science, technology and industry scoreboard 2013 – Innovation for: Chapter 1 knowledge economies: Trends and features & Chapter 7 participating in the global economy. Paris: OECD Publishing.
   Google Scholar
• OECD. (2015). OECD science, technology and industry scoreboard 2015. Paris: OECD Publishing.
   Google Scholar
• OECD ICIO. (2015). Inter-Country Input-Output (ICIO) Tables, edition 2015. Retrevied from http://oe.cd/icio
   Google Scholar
• OECD-WTO. (2012). Trade in value-added: concepts, methodologies and challenges.
   Google Scholar
• Owen, A. (2017). Techniques for evaluating the differences in multiregional input-output databases: A comparative evaluation of CO₂ consumption-based accounts calculated using Eora, GTAP and WIOD. Berlin: Springer.
   Google Scholar
• Owen, A., Steen-Olsen, K., Barrett, J., Wiedmann, T., & Lenzen, M. (2014). A structural decomposition approach to comparing MRIO databases. Economic Systems Research, 26, 262–283.
   Web of Science ®Google Scholar
• Owen, A., Wood, R., Barrett, J., & Evans, A. (2016). Explaining value chain differences in MRIO databases through structural path decomposition. Economic Systems Research, 28, 243–272.
   Web of Science ®Google Scholar
• Peters, G. P. (2008). From production-based to consumption-based national emission inventories. Ecological Economics, 65, 13–23.
   Web of Science ®Google Scholar
• Peters, G. P., Davis, S. J., & Andrew, R. (2012a). A synthesis of carbon in international trade. Biogeosciences (Online), 9, 3247–3276.
   Web of Science ®Google Scholar
• Peters, G. P., Marland, G., Le Quéré, C., Boden, T., Canadell, J. G., & Raupach, M. R. (2012b). Rapid growth in CO2 emissions after the 2008–2009 global financial crisis. Nature Climate Change, 2, 2–4.
   Web of Science ®Google Scholar
• Peters, G. P., & Solli, C. (2010). Global carbon footprints: Methods and import/export corrected results from the Nordic countries in global carbon footprint studies. Copenhagen: Nordic Council of Ministers.
   Google Scholar
• Pomponi, F., & Lenzen, M. (2018). Hybrid life cycle assessment (LCA) will likely yield more accurate results than process-based LCA. Journal of Cleaner Production, 176, 210–215.
   Web of Science ®Google Scholar
• Remond Tiedrez, I., & Rueda-Cantuche, J. M. (2019). EU inter-country supply, use and input-output tables — Full international and global accounts for research in input-output analysis (FIGARO). Eurostat Working Papers. Luxembourg: Eurostat.
   Google Scholar
• Rodrigues, J. F. D., Moran, D., Wood, R., & Behrens, P. (2018). Uncertainty of consumption-based carbon accounts. Environmental Science & Technology, 52, 7577–7586.
   PubMed Web of Science ®Google Scholar
• Stadler, K., Steen-Olsen, K., & Wood, R. (2014). The ‘rest of the world’ – Estimating the economic structure of missing regions in global multi-regional input–output tables. Economic Systems Research, 26, 303–326.
   Web of Science ®Google Scholar
• Stadler, K., Wood, R., Bulavskaya, T., Södersten, C.-J., Simas, M., Schmidt, S., … Tukker, A. (2018). EXIOBASE 3: Developing a time series of detailed environmentally extended multi-regional input-output tables. Journal of Industrial Ecology, 22(3), 502–515.
   Web of Science ®Google Scholar
• Steen-Olsen, K., Owen, A., Hertwich, E. G., & Lenzen, M. (2014). Effects of sectoral aggregation on CO2 multipliers in MRIO analyses. Economic Systems Research, 26, 284–302.
   Web of Science ®Google Scholar
• Su, B., & Ang, B. W. (2010). Input–output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation. Ecological Economics, 70, 10–18.
   Web of Science ®Google Scholar
• Su, B., Ang, B. W., & Low, M. (2013). Input-output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports. Ecological Economics, 88, 119–125.
   Web of Science ®Google Scholar
• Suh, S., Lenzen, M., Treloar, G. J., Hondo, H., Horvath, A., Huppes, G., … Norris, G. (2004). System boundary selection in life-cycle inventories. Environmental Science & Technology, 38, 657–664.
   PubMed Web of Science ®Google Scholar
• Timmer, M., Erumban, A. A., Gouma, R., Los, B., Temurshoev, U., de Vries, G. J., … Francois, J. (2012). The world input-output database (WIOD): Contents, sources and methods. Groningen: Institute for International and Development Economics.
   Google Scholar
• Tukker, A., de Koning, A., Owen, A., Lutter, S., Bruckner, M., Giljum, S., … Hoekstra, R. (2018a). Towards robust, Authoritative assessments of environmental impacts embodied in trade: Current state and recommendations. Journal of Industrial Ecology, 22, 585–598.
   Web of Science ®Google Scholar
• Tukker, A., & Dietzenbacher, E. (2013). Global multiregional input–output frameworks: An introduction and outlook. Economic Systems Research, 25, 1–19.
   Web of Science ®Google Scholar
• Tukker, A., Giljum, S., & Wood, R. (2018b). Recent progress in assessment of resource efficiency and environmental impacts embodied in trade: An introduction to this special issue. Journal of Industrial Ecology, 22(3).
   Web of Science ®Google Scholar
• Tukker, A., Poliakov, E., Heijungs, R., Hawkins, T., Neuwahl, F., Rueda-Cantuche, J. M., … Bouwmeester, M. (2009). Towards a global multi-regional environmentally extended input-output database. Ecological Economics, 68(7), 1928–1937.
   Web of Science ®Google Scholar
• Tukker, A., Pollitt, H., & Henskemans, M. (2020). Consumption-based carbon accounting: sense and sensibility. Climate Policy, 20(S1), S1–S13. doi:10.1080/14693062.2020.1728208.
   Google Scholar
• Usubiaga, A., & Acosta-Fernández, J. (2015). Carbon emission accounting in MRIO models: The territory vs. The residence principle. Economic Systems Research, 27, 458–477.
   Web of Science ®Google Scholar
• van der Ploeg, F. (1982). Reliability and the adjustment of sequences of large economic accounting matrices. Journal of the Royal Statistical Society A, 145, 169–194.
   Web of Science ®Google Scholar
• van der Ploeg, F. (1984). Generalized least Squares methods for balancing large systems and tables of national accounts. Review of Public Data Use, 12, 17–33.
   Google Scholar
• van der Ploeg, F. (1988). Balancing large systems of national accounts. Computer Science in Economics and Management, 1, 31–39.
   Google Scholar
• Walmsley, T., Narayanan, B., Aguiar, A., & McDougall, R. (2018). Building a global database: Consequences for the national I–O data. Economic Systems Research, 30, 478–496.
   Web of Science ®Google Scholar
• Wieland, H., Giljum, S., Bruckner, M., Owen, A., & Wood, R. (2018). Structural production layer decomposition: A new method to measure differences between MRIO databases for footprint assessments. Economic Systems Research, 30, 61–84.
   Web of Science ®Google Scholar
• Wilting, H. C. (2012). Sensitivity and uncertainty analysis in MRIO modelling; some empirical results with regard to the Dutch carbon footprint. Economic Systems Research, 24(2), 141–171.
   Web of Science ®Google Scholar
• Wood, R., Grubb, M., Anger-Kraavi, A., Pollitt, H., Rizzo, B., Alexandri, E., … Tukker, A. (2020). Beyond peak emission transfers: Historical impacts of globalization and future impacts of climate policies on international emission transfers. Climate Policy, 20(S1), S14–S27. doi:10.1080/14693062.2019.1619507.
   Google Scholar
• Wood, R., Hawkins, T. R., Hertwich, E. G., & Tukker, A. (2014). Harmonising national input—output tables for consumption-based accounting — Experiences from EXIOPOL. Economic Systems Research, 26, 387–409.
   Web of Science ®Google Scholar
• Wood, R., Moran, D. D., Rodrigues, J. F. D., & Stadler, K. (2019). Variation in trends of consumption based carbon accounts. Scientific Data, 6, 99.
   PubMed Web of Science ®Google Scholar
• Wood, R., Neuhoff, K., Moran, D., Simas, M., Grubb, M., & Stadler, K. (2020). The structure, drivers and policy implications of the European carbon footprint. Climate Policy, 20(S1), S39–S57. doi:10.1080/14693062.2019.1639489.
   Google Scholar
• Wood, R., Stadler, K., Bulavskaya, T., Lutter, S., Giljum, S., de Koning, A., … Tukker, A. (2015). Global sustainability accounting-developing EXIOBASE for multi-regional footprint analysis. Sustainability (Switzerland), 7(1), 138–163.
   Web of Science ®Google Scholar
• Wyckoff, A. W., & Roop, J. M. (1994). The Embodiment of carbon in imports of manufactured products: Implications for international agreements on greenhouse gas emissions. Energy Policy, 22, 187–194.
   Web of Science ®Google Scholar
• Yang, C., Dietzenbacher, E., Pei, J., Chen, X., Zhu, K., & Tang, Z. (2015). Processing trade biases the measurement of vertical specialization in China. Economic Systems Research, 27, 60–76.
   Web of Science ®Google Scholar