Assessing regional and global environmental footprints and value added of the largest food producers in the world.
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| Title: | Assessing regional and global environmental footprints and value added of the largest food producers in the world. |
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| Authors: | Kucukvar, Murat1 (AUTHOR) mkucukvar@qu.equ.qa, Onat, Nuri C.2 (AUTHOR), Abdella, Galal M.1 (AUTHOR), Tatari, Omer3 (AUTHOR) |
| Source: | Resources, Conservation & Recycling. May2019, Vol. 144, p187-197. 11p. |
| Subject Terms: | *Food, *Food supply, *Ecological impact, Input-output analysis, K-means clustering, Economic databases |
| Geographic Terms: | China, United States, Russia |
| Abstract: | Highlights • Sustainability impacts of world's largest food producers are analyzed. • Multi region input-output analysis is extended with environmental and socioeconomic indicators. • Regional direct, regional supply chain, and global supply chain impacts are estimated. • Agriculture is the most dominant sector in food supply chains. • India, China and Russia have high energy use and carbon footprint per value added. Abstract This research aims to provide important insights regarding the environmental and socioeconomic impacts of the world's largest food producing countries based on four sustainability metrics: energy use, carbon footprint, value-added and compensation of employees by low, medium and high-skill groups. World Input-Output Database is used as a detailed and intercountry and sector economic database. To compare the results between global databases, Eora and EXIOBASE are also used for comparative analysis. Three statistical analysis techniques such as Mann-Kendal trend test, matching index and k-means clustering algorithm are applied to provide a further insight from the analysis. The results are presented for three categories: regional on-site, regional supply chain, and global supply chain. The agriculture industry has the largest environmental footprints in food supply chains. Based on the Mann-Kendall trend test, there is a statistically significant trend in carbon, energy, and employment indicators. The maximum value of the matching–index of the overall impact (0.92) is achieved between the EXIOBASE and WIOD databases. China and USA are positioned in different clusters based on total sustainability performance when using different MRIO databases. [ABSTRACT FROM AUTHOR] |
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| Database: | GreenFILE |
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