In the context of the transformation toward a "green economy," issues related to natural resource use have rapidly increased in importance in European and international policy debates. The large number of studies applying economy-wide material flow analysis so far mostly produced aggregated national indicators, making the results difficult to connect to policies, which are often designed for single sectors or consumption areas. This paper provides a detailed assessment of the composition of EU's material footprint in its global context, aiming at identifying the main product groups contributing to overall material consumption and specifying the geographical sources for the raw materials required to satisfy EU's final demand. Based on multi-regional input¿output (MRIO) modeling, we apply production layer decomposition to assess supply chains and their structural changes from 1995 to 2011. The global MRIO database used in this study is EXIOBASE 3, which disaggregates 200 products and 163 industries, of which 33 represent material extraction sectors. By that means, we increase the level of detail to a degree where policies can more easily connect to. We find that the generally growing material footprint of the EU was characterized by a dramatic shift regarding the origin of raw materials, with the share of materials extracted within the EU territory falling from 68 % in 1995 to 35 % in 2011. In 2011, raw materials extracted in China to produce exports to the EU already contributed an equal share to EU's material footprint as material extraction within the EU itself. Import dependency is most critical for the material group of metal ores, with only 13 % of all metals required as inputs to EU final demand stemming from within the EU. Regarding product composition, construction was confirmed as the most important sector contributing to the material footprint, followed by the group of manufacturing products based on biomass. Materials embodied in service sector activities together contributed a quarter to the total material footprint in 2011, making services an important, but currently disregarded area for European resource policies. We also find that supply chain structures became more complex over time, with a growing part located outside the EU territory. (authors' abstract)

Material flow-based indicators play an important role in indicator sets related to green and resource-efficient growth. This paper examines the global flows of materials and the amounts of materials directly and indirectly necessary to satisfy domestic final demand in different countries world-wide. We calculate the indicator Raw Material Consumption (RMC), also referred to as Material Footprint (MF), by applying a global, multi-regional input-output (MRIO) model based on the GTAP database and extended by material extraction data. We examine world-wide patterns of material extraction and materials embodied in trade and consumption, investigating changes between 1997 and 2007. We find that flows of materials related to international trade have increased by almost 60% between 1997 and 2007. We show that the differences in Material Footprints per capita are huge, ranging from up to 100 tonnes in the rich, oil-exporting countries to values as low as 1.5 to 2 tonnes in some developing countries. We also quantify the differences between the indicators Domestic Material Consumption (DMC) and RMC, illustrating that net material exporters generally have a DMC larger than RMC, while the reverse is observed for net importers. Finally, we confirm the fact that most countries with stable or declining DMCs actually show increasing RMCs, indicating the occurrence of leakage effects, which are not fully captured by DMC. This challenges the world-wide use of DMC as a headline indicator for national material consumption and calls for the consideration of upstream material requirements of international trade flows.

A new approach to allocate environmental responsibility, the "value added-based responsibility" allocation, is presented in this article. This metric allocates total environmental pressures occurring along an international supply chain to the participating sectors and countries according to the share of value added they generate within that specific supply chain. We show that - due to their position in global value chains - certain sectors (e.g. services) and countries (e.g. Germany) receive significantly greater responsibility compared to other allocation approaches. This adds a new perspective to the discussions concerning a fair distribution of mitigation costs among nations, companies and consumers.

Understanding the environmental implications of consumption and production depends on appropriate monitoring tools. Material flow accounting (MFA) is a method to monitor natural resource use by countries and has been widely used in research and policy. However, the increasing globalization requires the consideration of "embodied" material use of traded products. The indicator raw material consumption (RMC) represents the material use - no matter where in the world it occurs - associated with domestic final demand. It provides a consumption-based perspective complementary to the MFA indicators that have a territorial focus. Several studies on RMC have been presented recently but with diverging results; hence, a better understanding of the underlying differences is needed. This article presents a comparison of Austrian RMC for the year 2007 calculated by six different approaches (3 multi-regional input-output (MRIO) and 3 hybrid life-cycle analysis-IO approaches). Five approaches result in an RMC higher than the domestic material consumption (DMC). One hybrid LCA-IO approach calculates RMC to be lower than DMC. For specific material categories, results diverge by 50% or more. Due to the policy relevance of the RMC and DMC indicators it is paramount that their robustness is enhanced, which needs both data and method harmonization.

Effective implementation of resource policies requires consistent and robust indicators. An increasing number of national and international strategies focussing on resource efficiency as a means for reaching a green economy call for such indicators. As supply chains of goods and services are increasingly organised on the global level, comprehensive indica-tors taking into account upstream material flows associated with internationally traded products need to be compiled. Particularly in the last few years, the development of con-sumption-based indicators of material use also termed material footprints has made considerable progress. This paper presents a comprehensive review of existing methodol-ogies to calculate material footprint-type indicators. The three prevailing approaches, i.e. environmentally extended input-output analysis (EE-IOA), coefficient approaches based on process analysis data, and hybrid approaches combing elements of EE-IOA and process analysis are presented, existing models using the different approaches discussed, and advantages and disadvantages of each approach identified. We argue that there is still a strong need for improvement of the specific approaches as well as comparability of re-sults, in order to reduce uncertainties. The paper concludes with recommendations for further development covering methodological, data and institutional aspects.

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.

Abstract This thesis explored innovative ways to improve estimation of material footprint-type indicators in application of Input-Output (IO) analysis to Material Flow Accounting. The following six research questions were addressed: 1) What is the potential impact of sector aggregation in IO modelling of raw material flows? Modelling errors due to aggregation of industries with dissimilar material requirements and trade structures into a single sector in IO models when calculating the material footprint were empirically analysed relative to greenhouse gas emissions. Significant biases emerged for raw material flows, which suggests that care should be taken when aggregating extractive sectors in IO models. 2) Can bottom-up approaches, such as LCA (Life Cycle Assessment), improve estimation of the raw materials embodied in trade products? and 3) What are the implications of integration of country-specific information from high geographical coverage IO models into LCA approaches for calculation of raw material embodied in trade products? An approach for combining country-specific production blueprints with LCA based on regional averages was developed. This approach proved useful in refining estimates of upstream raw materials embodied in trade products, although care is needed during its application since new biases may arise. 4) Can further perspectives be gained with a new allocation method, the ‘value added-based material footprint’, which assigns supply chain-wide raw material extractions to each participating economic actor according to its added value generation, contributing to discussions on the distribution of mitigation costs? Certain countries and sectors were found to be more material-intensive with this new accounting approach than in other widely known allocation methods, e.g. consumer footprint. 5) Are there unequal exchanges between high-income economies and middle- and lower-income countries when measured in terms of raw material and value added flows? and 6) Could integration of local and global IO data provide useful insights to study presence/absence of unequal material exchange at sub-national level? A study of material flows at inter- and intra-national level demonstrated that a regional economy can play a twofold role, both as sink or source of raw materials and in value added, depending on its position in the global economic hierarchy. / Tiivistelmä Tässä työssä tutkittiin innovatiivisia tapoja, joilla voitaisiin parantaa materiaalijalanjälki -tyyppisten indikaattoreiden käytettävyyttä panos-tuotos (Input-Output, IO) -analyysissa, kun niitä sovelletaan Materiaalivirta-analyysi (Material Flow Accounting, MFA) -metodiin. Seuraaviin tutkimuskysymyksiin haettiin vastauksia: 1) Mikä on sektorien yhdistämisen potentiaalinen vaikutus raaka-ainevirtojen IO-mallintamisessa ja miten poikkeamia voidaan estää? Tämän puitteissa tarkasteltiin mallinnusvirheitä, jotka johtuvat erilaisten toimialojen yhdistämisistä yhdeksi sektoriksi. 2) Voivatko alhaalta ylöspäin suuntautuvat lähestymistavat, kuten elinkaariarviointi parantaa tuotteisiin sisältyvien raaka-ainevirtojen arviointia? ja 3) Mitä vaikutuksia on laajan maantieteellisen kattavuuden IO-malleihin sisältyvien maakohtaisten tietojen yhdistämisestä LCA-pohjaisiin lähestymistapoihin, kun tavoitteena on laskea tuotteisiin sisältyviä raaka-ainemääriä? Tämän tutkimista varten kehitettiin lähestymistapa, joka yhdisti maakohtaiset tuotantosuunnitelmat ja elinkaariarvioinnin. Tämä lähestymistapa osoittautui hyödylliseksi tarkentamalla arvioita tuotteissa olevista raaka-aineista, vaikkakin sen soveltaminen edellyttää varovaisuutta, koska uusia vääristymiä voi syntyä. 4) Voidaanko uusia näkökulmia löytää uudella arvonlisäykseen perustuvalla allokointimenetelmällä, joka jakaa raaka-aineen louhinnan kullekin toimintaketjun osallistuvalle taloudelliselle toimijalle lisäarvon tuotannon mukaan? Tämän uuden kirjanpitomenetelmän mukaan jotkut maat ja alat ovat materiaali-intensiivisempiä kuin niitä on pidetty kulutuksen jalanjälkiallokointimenetelmien perusteella. 5) Onko korkean tulotason talouksien ja keskitasoiselle ja alhaiselle tulotasolle asettuvien maiden välillä epätasaisia vaihtoja, kun raaka-ainekulutusta ja arvonlisäystä mitataan? ja 6) Voisiko paikallisten ja globaalien IO-tietojen integrointi antaa hyödyllisiä näkökulmia tutkimukseen, joka tarkastelee epätasaisen aineenvaihdon esiintymistä tai puuttumista alueellisella tasolla? Materiaalivirtojen tutkiminen kansainvälisellä ja kansallisella tasolla, jossa yhdistettiin IO-tietokannat erilaisella maantieteellisellä resoluutiolla osoitti, että alueellisella taloudella voi olla kaksoisrooli sekä raaka-aineiden että arvonlisäyksen lähteenä tai nieluna riippuen sen asemasta globaalissa taloushierarkiassa.