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Specification and Aggregation Errors in Environmentally Extended Input–Output Models

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  • Maaike Bouwmeester
  • Jan Oosterhaven

Abstract

This article considers the specification and aggregation errors that arise from estimating embodied $$\text{ CO }_{2}$$ emissions and embodied water use with environmentally extended national input–output (IO) models, instead of with an environmentally extended international IO model. Model specification errors result from the use of domestic environmental and domestic technology coefficients to estimate emissions or resources that are embodied in international trade. For $$\text{ CO }_{2}$$ footprints, unacceptably large overestimations arise from using domestic emission coefficients, which are only partly canceled out by using domestic technology coefficients. For water use footprints both specification errors are smaller, but hardly cancel out. Sectoral aggregation errors occur when combining the 129 EXIOPOL industries to 59 EU industries and 10 broad sectors. The latter aggregation creates the largest errors. Spatial aggregation errors arise from combining 43 individual EXIOPOL countries in four broad regions and “the rest of the world”. Substantial, unacceptable errors occur again, now especially in relation to water use. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Maaike Bouwmeester & Jan Oosterhaven, 2013. "Specification and Aggregation Errors in Environmentally Extended Input–Output Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 307-335, November.
  • Handle: RePEc:kap:enreec:v:56:y:2013:i:3:p:307-335
    DOI: 10.1007/s10640-013-9649-8
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    2. Bouwmeester, Maaike & Scholtens, Bert, 2014. "Cross-border spillovers from European gas infrastructure investment," Research Report 14028-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
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    9. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.
    10. Ali, Tariq & Xie, Wei & Zhu, Anfeng, 2020. "A Global Value Chain Analysis of Chinas Virtual Water Footprint Through Agricultural Trade," Conference papers 333175, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Manrique-de-Lara-Peñate, Casiano & Santana Gallego, María & Valle, Elisabeth Valle, 2022. "The economic impact of global uncertainty and security threats on international tourism," Economic Modelling, Elsevier, vol. 113(C).
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    13. Guevara, Zeus & Sebastian, Antonio & Carranza Dumon, Fabian, 2022. "Economy-wide impact of conventional development policies in oil-exporting developing countries: The case of Mexico," Energy Policy, Elsevier, vol. 161(C).
    14. Viktoras Kulionis, 2018. "Constructing energy accounts for WIOD 2016 release," Papers 1810.07112, arXiv.org.
    15. Kjartan Steen-Olsen & Anne Owen & Edgar G. Hertwich & Manfred Lenzen, 2014. "Effects Of Sector Aggregation On Co 2 Multipliers In Multiregional Input-Output Analyses," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 284-302, September.
    16. Xu, Duo & Liu, Gengyuan & Meng, Fanxin & Yan, Ningyu & Li, Hui & Agostinho, Feni & Almeida, Cecilia MVB & Giannetti, Biagio F, 2023. "Sector aggregation effect on embodied carbon emission based on city-centric global multi-region input-output (CCG-MRIO) model," Ecological Modelling, Elsevier, vol. 484(C).
    17. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Xiliang, 2014. "Will economic restructuring in China reduce trade-embodied CO2 emissions?," Energy Economics, Elsevier, vol. 42(C), pages 204-212.
    18. Tatsuki Ueda, 2022. "Structural Decomposition Analysis of Japan’s Energy Transitions and Related CO2 Emissions in 2005–2015 Using a Hybrid Input-Output Table," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 763-786, April.
    19. Isaksen, Elisabeth T. & Narbel, Patrick A., 2017. "A carbon footprint proportional to expenditure - A case for Norway?," Ecological Economics, Elsevier, vol. 131(C), pages 152-165.
    20. Eisenmenger, Nina & Wiedenhofer, Dominik & Schaffartzik, Anke & Giljum, Stefan & Bruckner, Martin & Schandl, Heinz & Wiedmann, Thomas O. & Lenzen, Manfred & Tukker, Arnold & Koning, Arjan, 2016. "Consumption-based material flow indicators — Comparing six ways of calculating the Austrian raw material consumption providing six results," Ecological Economics, Elsevier, vol. 128(C), pages 177-186.
    21. Wu, Sanmang & Li, Shantong & Lei, Yalin & Li, Li, 2020. "Temporal changes in China's production and consumption-based CO2 emissions and the factors contributing to changes," Energy Economics, Elsevier, vol. 89(C).
    22. Jonas Bunsen & Matthias Finkbeiner, 2022. "An Introductory Review of Input-Output Analysis in Sustainability Sciences Including Potential Implications of Aggregation," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    23. Anke Schaffartzik & Dominik Wiedenhofer & Nina Eisenmenger, 2015. "Raw Material Equivalents: The Challenges of Accounting for Sustainability in a Globalized World," Sustainability, MDPI, vol. 7(5), pages 1-26, April.
    24. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.

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