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How ecoefficient is European food consumption? A frontier‐based multiregional input–output analysis

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  • Muhammet Enis Bulak
  • Murat Kucukvar

Abstract

This paper presents an integrated approach combining the optimization‐based frontier model with a global multiregional input–output (MRIO) analysis for food consumption in Europe. The weighted and conventional data envelopment analysis models are coupled with production and consumption‐based environmental and economic footprint data obtained from the environmental footprint explorer database. Eco‐efficiency assessment is carried out using multiple undesirable environmental outputs such as carbon emission, total energy consumption, land use, material use, water use, and one desirable economic output, which is the gross value‐added (GVA). This assessment indicates an efficiency level of each economic activity associated with its environmental impacts and policies are made as a result of the efficiency level to propose an equilibrium between economic development and environmental impacts. Finally, a sensitivity analysis of each parameter, variability analysis between weighted and non‐weighted models, and performance improvement projections are presented. Based on the results, four countries become efficient when moving from production‐based accounting (PBA) to consumption‐based accounting (CBA). France, United Kingdom, Italy, and Sweden are efficient countries in both findings. Denmark caused the highest carbon emission from the production point of view. Germany is the largest importer in all environmental categories such as carbon emission, energy usage, material use, land use, and water use. Additionally, the weight‐restricted model indicated a noticeable difference concerning the eco‐efficiency scores under the PBA and CBA approach, where land use and material footprint categories were found to be the most sensitive parameters for eco‐efficiency scores. The authors believe that this integrated approach will aid in decision‐making and help build a composite eco‐efficiency score when comparing the performance of food consumption with multiple environmental and economic metrics.

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  • Muhammet Enis Bulak & Murat Kucukvar, 2022. "How ecoefficient is European food consumption? A frontier‐based multiregional input–output analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 817-832, October.
    • Handle: RePEc:wly:sustdv:v:30:y:2022:i:5:p:817-832
    DOI: 10.1002/sd.2282
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    1. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    2. Arnold Tukker & Stefan Giljum & Richard Wood, 2018. "Recent Progress in Assessment of Resource Efficiency and Environmental Impacts Embodied in Trade: An Introduction to this Special Issue," Journal of Industrial Ecology, Yale University, vol. 22(3), pages 489-501, June.
    3. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    4. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    5. Arnold Tukker & Arjan de Koning & Richard Wood & Troy Hawkins & Stephan Lutter & Jose Acosta & Jose M. Rueda Cantuche & Maaike Bouwmeester & Jan Oosterhaven & Thomas Drosdowski & Jeroen Kuenen, 2013. "Exiopol - Development And Illustrative Analyses Of A Detailed Global Mr Ee Sut/Iot," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 50-70, March.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Christos Papahristodoulou, 1997. "A DEA model to evaluate car efficiency," Applied Economics, Taylor & Francis Journals, vol. 29(11), pages 1493-1508.
    8. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    9. M. Lenzen & D. Moran & K. Kanemoto & B. Foran & L. Lobefaro & A. Geschke, 2012. "International trade drives biodiversity threats in developing nations," Nature, Nature, vol. 486(7401), pages 109-112, June.
    10. Arunima Malik & Jun Lan, 2016. "The role of outsourcing in driving global carbon emissions," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 168-182, June.
    11. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    12. Liu, C.H. & Lin, Sue J. & Lewis, Charles, 2010. "Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis," Energy Policy, Elsevier, vol. 38(2), pages 1049-1058, February.
    13. Doyle, JR & Green, RH, 1991. "Comparing products using data envelopment analysis," Omega, Elsevier, vol. 19(6), pages 631-638.
    14. Robbie M. Andrew & Glen P. Peters, 2013. "A Multi-Region Input-Output Table Based On The Global Trade Analysis Project Database (Gtap-Mrio)," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 99-121, March.
    15. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
    16. Lenzen, Manfred & Moran, Daniel & Bhaduri, Anik & Kanemoto, Keiichiro & Bekchanov, Maksud & Geschke, Arne & Foran, Barney, 2013. "International trade of scarce water," Ecological Economics, Elsevier, vol. 94(C), pages 78-85.
    17. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    18. Egilmez, Gokhan & Kucukvar, Murat & Tatari, Omer & Bhutta, M. Khurrum S., 2014. "Supply chain sustainability assessment of the U.S. food manufacturing sectors: A life cycle-based frontier approach," Resources, Conservation & Recycling, Elsevier, vol. 82(C), pages 8-20.
    19. Chung, Whan-Sam & Tohno, Susumu & Shim, Sang Yul, 2009. "An estimation of energy and GHG emission intensity caused by energy consumption in Korea: An energy IO approach," Applied Energy, Elsevier, vol. 86(10), pages 1902-1914, October.
    20. Kucukvar, Murat & Cansev, Bunyamin & Egilmez, Gokhan & Onat, Nuri C. & Samadi, Hamidreza, 2016. "Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries," Applied Energy, Elsevier, vol. 184(C), pages 889-904.
    21. Hughes, Andrew & Yaisawarng, Suthathip, 2004. "Sensitivity and dimensionality tests of DEA efficiency scores," European Journal of Operational Research, Elsevier, vol. 154(2), pages 410-422, April.
    22. Wiedmann, Thomas & Wilting, Harry C. & Lenzen, Manfred & Lutter, Stephan & Palm, Viveka, 2011. "Quo Vadis MRIO? Methodological, data and institutional requirements for multi-region input-output analysis," Ecological Economics, Elsevier, vol. 70(11), pages 1937-1945, September.
    23. Chia-Nan Wang & Thanh-Tuan Dang & Ngoc-Ai-Thy Nguyen & Thi-Thu-Hong Le, 2020. "Supporting Better Decision-Making: A Combined Grey Model and Data Envelopment Analysis for Efficiency Evaluation in E-Commerce Marketplaces," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    24. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    25. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    26. Edgar Hertwich, 2011. "The Life Cycle Environmental Impacts Of Consumption," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 27-47.
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