The Global Cropland Footprint of the Non-Food Bioeconomy

Brückner, Martin; Giljum, Stefan; Fischer, G.; Tramberend, Sylvia; Börner, Jan

doi:10.2139/ssrn.3160547

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…However, due to truncation, biophysical accounting models are unable to trace non-food use of biomass to final consumers, constituting a severe drawback in assessing footprints of crops that are primarily for industrial and energy purposes such as vegetable oil. In order to exploit the advantages of both frameworks some authors link biophysical flows into non-food industries with a monetary EEMRIO (Weinzettel et al 2013, Bruckner et al 2018. However, highly processed food which embodies a large share of global vegetable oil production still cannot be traced sufficiently, as FAO supply-utilization accounts do not account for trade of oils embodied in these foods (FAO Statistics Division 1972).…”

Section: Introductionmentioning

confidence: 99%

A novel maximum entropy approach to hybrid monetary-physical supply-chain modelling and its application to biodiversity impacts of palm oil embodied in consumption

Többen

Wiebe

Verones

et al. 2018

Environ. Res. Lett.

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The environmental and social consequences of clearing tropical forests for palm oil and soybean monoculture have been analyzed in a number of studies and are widely recognized. Some initiatives and studies have examined portions of the supply chain from the perspective of individual companies and stages in the supply chain. We complement this work by providing a consistent, detailed, global trade-linked analysis of the four major vegetable oils, connecting land use for production and its biodiversity impact, through global supply chains, to final consumers. To this end, we develop a global model by fully integrating FAO's physical supply-utilization accounts into the environmentally extended multiregional input-output model EXIOBASE. Global supply chains are linked with the life-cycle impact assessment model LC-Impact to assess biodiversity impact of land use via global maps of oil crop cultivation. For the period 2000-2010, we find significant substitution of domestically produced oils with relatively low biodiversity impacts with Indonesian palm oil and Brazilian soybean oil for the major consuming countries, China, Europe and the US. Whereas soybean oil remains the vegetable oil with the largest impact on biodiversity at a global scale, biodiversity footprints of palm oil have grown substantially larger in the period 2000-2010, driven by demand from Europe and China. Our results suggest that demand-side policies focused on specific oils, such as palm oil, might lead to switching oils and unintended shifts of environmental impacts.

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Section: Introductionmentioning

confidence: 99%

A novel maximum entropy approach to hybrid monetary-physical supply-chain modelling and its application to biodiversity impacts of palm oil embodied in consumption

Többen

Wiebe

Verones

et al. 2018

Environ. Res. Lett.

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“…For further research on MFs, we conclude that the material‐intensive sectors and supply chains should be a priority in the further development of GMRIO models and databases that calculate MF indicators. In addition to further aligning construction procedures in monetary MRIO modeling, one future option is to exploit the growing body of global data sets in physical units, which allow tracing flows of primary materials in physical units (Bruckner, Giljum, Fischer, Tramberend, & Börner, ; Ewing et al., ). Future work could test whether detailed and reliable physical accounts for the first stages of processing can be established on the global level, allowing circumventing those sectors in the GMRIO databases that were identified as causing the highest deviations in MFs.…”

Section: Discussionmentioning

confidence: 99%

The impacts of data deviations between MRIO models on material footprints: A comparison of EXIOBASE, Eora, and ICIO

Giljum

Wieland

Lutter

et al. 2019

J of Industrial Ecology

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In various international policy processes such as the UN Sustainable Development Goals, an urgent demand for robust consumption‐based indicators of material flows, or material footprints (MFs), has emerged over the past years. Yet, MFs for national economies diverge when calculated with different Global Multiregional Input–Output (GMRIO) databases, constituting a significant barrier to a broad policy uptake of these indicators. The objective of this paper is to quantify the impact of data deviations between GMRIO databases on the resulting MF. We use two methods, structural decomposition analysis and structural production layer decomposition, and apply them for a pairwise assessment of three GMRIO databases, EXIOBASE, Eora, and the OECD Inter‐Country Input–Output (ICIO) database, using an identical set of material extensions. Although all three GMRIO databases accord for the directionality of footprint results, that is, whether a countries’ final demand depends on net imports of raw materials from abroad or is a net exporter, they sometimes show significant differences in level and composition of material flows. Decomposing the effects from the Leontief matrices (economic structures), we observe that a few sectors at the very first stages of the supply chain, that is, raw material extraction and basic processing, explain 60% of the total deviations stemming from the technology matrices. We conclude that further development of methods to align results from GMRIOs, in particular for material‐intensive sectors and supply chains, should be an important research priority. This will be vital to strengthen the uptake of demand‐based material flow indicators in the resource policy context.

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Bioeconomy and Food Security SDG 2: Case Study of Nigeria

Akinbobola

Ajayi

2023

SDGs in Africa and the Middle East Region

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The Global Cropland Footprint of the Non-Food Bioeconomy

Cited by 5 publications

References 33 publications

A novel maximum entropy approach to hybrid monetary-physical supply-chain modelling and its application to biodiversity impacts of palm oil embodied in consumption

A novel maximum entropy approach to hybrid monetary-physical supply-chain modelling and its application to biodiversity impacts of palm oil embodied in consumption

The impacts of data deviations between MRIO models on material footprints: A comparison of EXIOBASE, Eora, and ICIO

Bioeconomy and Food Security SDG 2: Case Study of Nigeria

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