Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

References

• Ang, B.W. (2004) Decomposition Analysis for Policymaking in Energy: Which is the Preferred Method? Energy Policy, 32, 1131–1139. doi: 10.1016/S0301-4215(03)00076-4
   Web of Science ®Google Scholar
• Arto, I., J.M. Rueda-Cantuche, and G.P. Peters (2014) Comparing the GTAP-MRIO and WIOD Databases for Carbon Footprint Analysis. Economic Systems Research, 26, 327–353. doi: 10.1080/09535314.2014.939949
   Web of Science ®Google Scholar
• Dietzenbacher, E. and B. Los (1998) Structural Decomposition Techniques: Sense and Sensitivity. Economic Systems Research, 10, 307–324. doi: 10.1080/09535319800000023
   Google Scholar
• Dietzenbacher, E. and B. Los (2000) Structural Decomposition Analyses with Dependent Determinants. Economic Systems Research, 12, 497–514. doi: 10.1080/09535310020003793
   Google Scholar
• Dietzenbacher, E., B. Los, R. Stehrer, M. Timmer, and G. de Vries (2013). The Construction of World Input–Output Tables in the WIOD Project. Economic Systems Research, 25, 71–98. doi: 10.1080/09535314.2012.761180
   Web of Science ®Google Scholar
• Giljum, S., H. Wieland, S. Lutter, M. Bruckner, R. Wood, A. Tukker, and K. Stadler (2016) Identifying Priority Areas for European Resource Policies: A MRIO-Based Material Footprint Assessment. Journal of Economic Structures, 5, 1–24. doi: 10.1186/s40008-016-0048-5
   Google Scholar
• Hoekstra, R. and J. van den Bergh (2002) Structural Decomposition Analysis of Physical Flows in the Economy. Environmental and Resource Economics, 23, 357–378. doi: 10.1023/A:1021234216845
   Web of Science ®Google Scholar
• Inomata, S. and A. Owen (2014). Comparative Evaluation of MRIO Databases. Economic Systems Research, 26, 239–244. doi: 10.1080/09535314.2014.940856
   Web of Science ®Google Scholar
• Kagawa, S. and H. Inamura (2001) A Structural Decomposition of Energy Consumption Based on a Hybrid Rectangular Input–Output Framework: Japan's Case. Economic Systems Research, 13, 339–363. doi: 10.1080/09535310120089752
   Google Scholar
• Lenzen, M. (2016) Structural Analyses of Energy Use and Carbon Emissions – An Overview. Economic Systems Research, 28, 119–132. doi: 10.1080/09535314.2016.1170991
   Web of Science ®Google Scholar
• Lenzen, M. and R.H. Crawford (2009) The Path Exchange Method for Hybrid LCA. Environmental Science & Technology, 43, 8251–8256. doi: 10.1021/es902090z
   PubMed Web of Science ®Google Scholar
• Lenzen, M., D. Moran, K. Kanemoto, and A. Geschke (2013) Building EORA: A Global Multi-Region Input–Output Database at High Country and Sector Resolution. Economic Systems Research, 25, 20–49. doi: 10.1080/09535314.2013.769938
   Web of Science ®Google Scholar
• Llop, M. and X. Ponce-Alifonso (2015) Identifying the Role of Final Consumption in Structural Path Analysis: An Application to Water Uses. Ecological Economics, 109, 203–210. doi: 10.1016/j.ecolecon.2014.11.011
   Web of Science ®Google Scholar
• Minx, J.C., G. Baiocchi, G.P. Peters, C.L. Weber, D. Guan, and K. Hubacek (2011) A “Carbonizing Dragon”: China’s Fast Growing CO2 Emissions Revisited. Environmental Science & Technology, 45, 9144–9153. doi: 10.1021/es201497m
   PubMed Web of Science ®Google Scholar
• Moran, D. and R. Wood (2014) Convergence Between the Eora, WIOD, EXIOBASE, and OpenEU's Consumption-Based Carbon Accounts. Economic Systems Research, 26, 245–261. doi: 10.1080/09535314.2014.935298
   Web of Science ®Google Scholar
• OECD (2015). OECD Inter-Country Input–Output (ICIO) Tables, Edition 2015. Paris, Organisation for Economic Co-operation and Development.
   Google Scholar
• Owen, A., K. Steen-Olsen, J. Barrett, and A. Evans (2014a) Matrix Difference Statistics and Their Use in Comparing Input–Output Databases (Paper presented at the International Input–Output Conference 2014, Lisbon, Portugal).
   Google Scholar
• Owen, A., K. Steen-Olsen, J. Barrett, T. Wiedmann, and M. Lenzen (2014b). A Structural Decomposition Approach to Comparing MRIO Databases. Economic Systems Research, 26, 262–283. doi: 10.1080/09535314.2014.935299
   Web of Science ®Google Scholar
• Owen, A., R. Wood, J. Barrett, and A. Evans (2016) Explaining Value Chain Differences in MRIO Databases Through Structural Path Decomposition. Economic Systems Research, 28, 243–272. doi: 10.1080/09535314.2015.1135309
   Web of Science ®Google Scholar
• Peters, G.P. and E.G. Hertwich (2008) CO2 Embodied in International Trade with Implications for Global Climate Policy. Environmental Science & Technology, 42, 1401–1407. doi: 10.1021/es072023k
   PubMed Web of Science ®Google Scholar
• Peters, G.P., R. Andrew, and J. Lennox (2011a) Constructing an Environmentally-Extended Multi-Regional Input–Output Table Using the GTAP Database. Economic Systems Research, 23, 131–152. doi: 10.1080/09535314.2011.563234
   Web of Science ®Google Scholar
• Peters, G.P., J.C. Minx, C.L. Weber, and O. Edenhofer (2011b) Growth in Emission Transfers Via International Trade from 1990 to 2008. Proceedings of the National Academy of Sciences, 108, 8903–8908.
   Google Scholar
• Steen-Olsen, K., A. Owen, J. Barrett, D. Guan, E.G. Hertwich, M. Lenzen, and T. Wiedmann (2016) Accounting for Value Added Embodied in Trade and Consumption: An Intercomparison of Global Multiregional Input–Output Databases. Economic Systems Research, 28, 78–94. doi: 10.1080/09535314.2016.1141751
   Web of Science ®Google Scholar
• Steen-Olsen, K., A. Owen, E.G. Hertwich, and M. Lenzen (2014) Effects of Sector Aggregation on CO2 Multipliers in Multiregional Input–Output Analyses. Economic Systems Research, 26, 284–302. doi: 10.1080/09535314.2014.934325
   Web of Science ®Google Scholar
• Sun, J. (1998) Changes in Energy Consumption and Energy Intensity: A Complete Decomposition Model. Energy Economics, 20, 85–100. doi: 10.1016/S0140-9883(97)00012-1
   Web of Science ®Google Scholar
• Tukker, A., T. Bulavskaya, S. Giljum, A. de Koning, S. Lutter, M. Simas, K. Stadler, and R. Wood (2016) Environmental and Resource Footprints in a Global Context: Europe’s Structural Deficit in Resource Endowments. Global Environmental Change, 40, 171–181. doi: 10.1016/j.gloenvcha.2016.07.002
   Web of Science ®Google Scholar
• Tukker, A., A. de Koning, R. Wood, T. Hawkins, S. Lutter, J. Acosta, J.M. Rueda Cantuche, M. Bouwmeester, J. Oosterhaven, T. Drosdowski, and J. Kuenen (2013) Exiopol–Development and Illustrative Analyses of a Detailed Global MR EE SUT/IOT. Economic Systems Research, 25, 50–70. doi: 10.1080/09535314.2012.761952
   Web of Science ®Google Scholar
• Wiedmann, T. and J. Barrett (2013) Policy-Relevant Applications of Environmentally Extended Mrio Databases–Experiences from the UK. Economic Systems Research, 25, 143–156. doi: 10.1080/09535314.2012.761596
   Web of Science ®Google Scholar
• Wiedmann, T.O., M. Lenzen, and J.R. Barrett (2009) Companies on the Scale. Journal of Industrial Ecology, 13, 361–383. doi: 10.1111/j.1530-9290.2009.00125.x
   Web of Science ®Google Scholar
• Wiedmann, T., H.C. Wilting, M. Lenzen, S. Lutter, and V. Palm (2011) Quo Vadis Mrio? Methodological, Data and Institutional Requirements for Multi-Region Input–Output Analysis. Ecological Economics, 70, 1937–1945. doi: 10.1016/j.ecolecon.2011.06.014
   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, 141–171. doi: 10.1080/09535314.2011.628302
   Web of Science ®Google Scholar
• Wood, R. and M. Lenzen (2009) Structural Path Decomposition. Energy Economics, 31, 335–341. doi: 10.1016/j.eneco.2008.11.003
   Web of Science ®Google Scholar
• Wood, R., 2009. Structural Decomposition Analysis of Australia's Greenhouse Gas Emissions. Energy Policy, 37, 4943–4948. doi: 10.1016/j.enpol.2009.06.060
   Web of Science ®Google Scholar
• Wood, R., K. Stadler, T. Bulavskaya, S. Lutter, S. Giljum, A. de Koning, J. Kuenen, H. Schütz, J. Acosta-Fernández, A. Usubiaga, M. Simas, O. Ivanova, J. Weinzettel, J. Schmidt, S. Merciai, and A. Tukker (2015) Global Sustainability Accounting – Developing Exiobase for Multi-Regional Footprint Analysis. Sustainability, 7, 138–163. doi: 10.3390/su7010138
   Web of Science ®Google Scholar