Raphael ThysFigures (7)
Extras (2)
Multimedia component 1Multimedia component 2, , , https://doi.org/10.1016/j.jclepro.2021.127698Get rights and content
Highlights
- We estimated used and unused resource extraction for a low-carbon transition in road transport and energy to 2050.
- An inverse relationship exists between carbon emissions and resource extraction.
- Growth in resource extraction will be concentrated in countries with weak, poor, and failing resource governance.
- Circular economy strategies can moderate resource extraction growth, but new mine development is inevitable.
- Responsible sourcing frameworks are required when supply cannot be met by circular resource flows.
Abstract
The global transition to fundamentally decarbonized electricity and transport systems will alter the existing resource flows of both fossil fuels and metals; however, such a transition may have unintended consequences. Here we show that the decarbonization of both the electricity and transport sectors will curtail fossil fuel production while paradoxically increasing resource extraction associated with metal production by more than a factor of 7 by 2050 relative to 2015 levels. Importantly, approximately 32–40% of this increase in resource extraction is expected to occur in countries with weak, poor, and failing resource governance, indicating that the impending mining boom may result in severe environmental degradation and unequal economic benefits in local communities. A suite of circular economy strategies, including lifetime extension, servitization, and recycling, can mitigate such risks, but they may not fully offset the growth in resource extraction. Our findings underscore the importance of institutional instruments that enhance the resource governance of entire low-carbon technology supply chains, along with circular economy practices. In the absence of such actions, the decarbonization of electricity and transport sectors may pose an ethical conundrum in which global carbon emissions are reduced at the expense of an increase in socio-environmental risks at local mining sites.
Graphical abstract
Keywords
Responsible sourcing
Climate change
Net zero
Carbon neutral
Mining
1. Introduction
Avoiding the catastrophic impacts of climate change will require, inter alia, the transformation of both the electricity supply and transport systems on an unprecedented scale in the coming decades (International Energy Agency (IEA), 2017). Such a transition will fundamentally alter the existing resource flows of metals and fossil fuels (Watari et al., 2019), which could in turn induce serious trade-offs, such as land degradation (Werner et al., 2020), biodiversity loss (Sonter et al., 2020), damage to human health (Banza Lubaba Nkulu et al., 2018), supply chain disruption of (de Koning et al., 2018), and the catastrophic collapse of tailings dams (Owen et al., 2020). A key challenge in mitigating these trade-offs is to elucidate the anticipated resource flows in the coming decades, and to design policies and strategies to mitigate against these issues based on scientific knowledge.
Reflecting the importance and urgency of this issue is the emergence of large-scale studies in this domain. However, based on an extensive review of 88 existing studies (Table S1 in the Supplementary Material), we identified several limitations that need to be addressed. First, although the quantities of resources used directly for low-carbon technologies is increasingly well understood, previous studies have generally failed to capture hidden resource extraction, such as waste rock and overburden. This deficit in our understanding will likely mask the full impact of resource extraction in response to the energy transition (Kosai et al, 2020, 2021), which will ultimately lead to insufficient attention being paid to potential trade-offs by government, industry, and the community. Another limitation of previous studies is that they largely lack the geographical resolution to identify which countries will support the global energy transition through resource extraction. Without this information, it is difficult to discuss areas of concern where policy interventions will be most needed (Lèbre et al., 2020). Lastly, the expectations of many studies regarding the circular economy strategies required for sustainable resource supply are very high (Stahel, 2016); however, despite the potential of the circular economy (Reuter et al., 2019), empirical analyses of its effect is heavily biased toward end-of-life (EoL) recycling. Consequently, a full range of other possibilities, such as reuse, repair, remanufacturing, and servitization (Dominish et al., 2018), are being overlooked. The omission of these other possibilities prevents decision makers from understanding the true potential and/or limitations of such strategies.
This study therefore addresses these knowledge gaps by linking global energy scenarios with a resource demand-supply models on a county-by-country basis. Our approach captures all used and unused resource extraction by using the total material requirement (TMR) indicator (Bringezu et al., 2004; Nakajima et al., 2019), which can be used to estimate the magnitude of resource extraction impacts in mining countries. We also link circular economy strategies (i.e., lifetime extension, servitization, and EoL recycling) to the models to obtain a quantitative understanding of the potential roles of such strategies in sustainable energy transition. Among the various sectors and related technologies in the decarbonization process, this study focuses on the electricity and automotive technologies, because of their large contribution to decarbonization (approximately 60% of the expected CO2 emissions reduction by 2060 is projected due to these two sectors (IEA, 2017)) and their high impact on resource extraction (Deetman et al, 2018, 2021; The World Bank, 2020; 2017).
2. Methods
2.2. Sensitivity and uncertainty analysis
μ of a normal (Gaussian) distribution with an uncertainty parameter . In each model run, input parameters are randomly drawn from a distribution
X~N(μ,σ2). Uncertainty ranges for each parameter were established based on a combination of multiple references and information about the reliability of the data sources. A detailed description of the methodology can be found in the Supplementary Material.
2.3. Circular economy scenarios
We examined the role of circular economy strategies related to solar PV and EVs (PHEVs and BEVs) and their important role in an energy transition. With reference to previous studies (Dominish et al., 2018; Geissdoerfer et al., 2017; Ghisellini et al., 2016; Kirchherr et al., 2017), we summarized the following main circular economy strategies associated with the two abovementioned technologies (i.e., solar PV and EVs) as they relate to reusing, repairing, refurbishing, remanufacturing, recycling, durable design, and servitization. These strategies are reflected in the model parameters of average lifetime, EoL recycling rate, and car ownership.
2.3.1. Lifetime extension (reusing, repairing, refurbishing, remanufacturing, and durable design)
The lifetime of a product can be extended by durable design or replacement of defective parts. In the case of PV panels, the average lifetime is estimated to be approximately 20 years for economic reasons, such as the duration of feed-in tariffs, rather than due to degradation (Ashby, 2012). Technically, a PV panel can be reused at a price that is approximately 70% of its original value after a quality check and/or refurbishment (IRENA and IEA-PVPS, 2016). Therefore, we assume that the average lifetime can be doubled linearly to 2050 by implementing policies that incentivize progress in the PV panel reuse business. For EVs, the International Resource Panel (IRP) indicates that a design that allows for easy replacement of parts that wear faster than structural parts can increase product lifetime by 20% (IRP, 2020). We therefore assume that, as with PV panels, extended use of EVs can be achieved by 2050.
2.3.2. Servitization (carsharing and ridesharing)
Focusing on “service provision” rather than “ownership” of products can reduce the need for product ownership while meeting human needs. Sharing cars or journeys is a typical example, and multiple business models have already emerged in this area. In terms of its effects, Martin et al. (2010) showed that per-capita car ownership of car-sharing subscriber households had decreased by half, based on online surveys in North America. Other scientific evidence indicates that ridesharing can reduce vehicle occupancy by 25–75% (Yin et al., 2018). We assume that car ownership can be reduced by 25% with the penetration of carsharing and ridesharing, which accounts for up to approximately 30% of mileage demand by 2050 (IRP, 2020).
2.3.3. End-of-life recycling
End-of-life recycling has been studied intensively in the scientific literature and in policy analyses (Watari et al, 2020, 2021). However, little statistical data have been published to date on the current EoL recycling rate of solar PV or EVs. Several studies (Dominish et al., 2019; Giurco et al., 2019; Ziemann et al., 2018) have shown that approximately 80% of the metals used in solar PV and EVs could potentially be recovered. We therefore assume that the current recycling rate is 0% and that this can be increased to 80% by 2050. This recycling rate implies a high level of efficiency in the entire recycling chain, consisting of collecting, dismantling, sorting, and concentrating of PV and EV components.
3. Results
3.1. Paradoxical relationship between carbon emissions and resource extraction
Future resource extraction patterns driven by the energy transition show a paradoxical relationship between carbon emissions and resource extraction (Fig. 1). Decarbonizing electricity and transport systems will reduce resource extraction caused by fossil fuel production by about 75% and 35%, respectively, from 2015 to 2050. On the other hand, resource extraction associated with metal production will increase sharply in both sectors, increasing by more than a factor of 7 by 2050. Such a substantial increase is primarily due to the increase in the extraction of iron, copper, nickel, silver, tellurium, cobalt, and lithium used for the production of solar PV and EVs. Combining fossil fuels and metals, we can confirm that the decarbonization of the electricity sector will curtail resource extraction by roughly 60% by 2050 relative to 2015 levels. Conversely, the decarbonization of the transport sector will double resource extraction by counteracting the decline in fossil fuel production with a surge in metal production. These findings suggest that the energy transition may, paradoxically, result in a reduction of carbon emissions while increasing substantially resource extraction.
Fig. 1. Total material requirements induced by the global energy transition, 2015–2050. The scenario is based on the pathway toward keeping the rise in global temperatures well below 2 °C by 2100 compared to preindustrial levels (IEA, 2017). The concept of total material requirement captures all of the resource extraction in both used and unused extraction. Used extraction refers to materials that are extracted from the environment and subsequently used in production processes, whereas unused extraction refers to material flows that arise during the course of extraction, but that do not directly enter the economic system (e.g., waste rock and overburden). For a comparison of these values, see Fig. S2 in the Supplementary Material.
Such observations are heavily dependent on several important parameters including material intensity, TMR factor, and average lifetime of the product (see Fig. S4 in the Supplementary Material). However, the Monte Carlo simulations suggest that the upward trend in resource extraction associated with metal production through 2050 is relatively robust, even after accounting for the uncertainty inherent in the multiple parameters (Fig. 2). Obviously, there is still a great deal of uncertainty about the actual level of extraction, but our analysis in this domain confirms the existence of an inverse relationship between carbon emissions and resource extraction associated with metal production.
Fig. 2. Uncertainty in the results obtained for total material requirements associated with metal production, 2015–2050. The 95% and 99% confidence intervals are derived from Monte Carlo simulations with a sample size of 1000.
3.2. Countries with poor resource governance will underpin the energy transition
This paradoxical relationship between carbon emissions and resource extraction raises the question of which countries will support the energy transition through mining activities. We find that a substantial amount of resource extraction will occur in countries with weak, poor, and failing resource governance, and that this extraction will underpin the energy transition (Fig. 3). Over the scenario period, around 32% of resource extraction associated with metal production in the electricity sector will take place in countries with weak, poor, and failing governance. The situation is worse in the transport sector, where extraction in countries with weak, poor, and failing resource governance accounts for around 40% of the total. A closer look at the country-level breakdown shows that while Chile and Australia, which have good and satisfactory resource governance, respectively, are the dominant players in resource extraction, countries with weak and poor resource governance are also high on the list (Fig. 4).
Fig. 3. Share of cumulative total material requirements associated with metal production from 2015 to 2050 in regions with different levels of resource governance. The quality of resource governance is evaluated as good, satisfactory, weak, poor, or failing, which are determined by value realization, revenue management, and enabling environment (Natural Resource Governance Institute, 2017).
Fig. 4. Cumulative total material requirements associated with metal production from 2015 to 2050 in different countries. The top 20 countries with the largest cumulative extraction volume in each sector have been selected. The color of the circle to the right of the country name reflects the quality of resource governance. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
The relative change reflects a more problematic picture (Fig. 5). Decarbonization of both the electricity and transport sectors will lead to the largest increase in resource extraction in countries with poor governance, increasing by factors of 13 and 17, respectively, from 2015 to 2050. This category includes the DR Congo, a major producer of cobalt and copper; Madagascar and Cuba, which are nickel-rich countries; and Guatemala, which is rich in silver. This suggests that, if current trends continue, the rapid increase in mining activities that will be induced by the energy transition is likely to have negative consequences, such as environmental degradation and misappropriation of funds, rather than benefiting local communities.
Fig. 5. Relative changes in total material requirements associated with metal production in each region with different levels of resource governance, 2015–2050.
3.3. Circular economy strategies may not fully offset resource extraction growth
The analysis described above indicates that the energy transition will induce a sharp increase in resource extraction in countries with insufficient resource governance. An emerging question is to what extent the circular economy strategy can complement the growth of resource extraction. We find that a suite of circular economy strategies can reduce resource extraction associated with metal production in the electricity sector by 23% in 2050, compared to the case where no such strategies are implemented (Fig. 6). Specifically, a 13% reduction could come from lifetime extension and the other 10% reduction from recycling. Looking at the transport sector, a 60% reduction can be achieved by 2050, reflecting the more diverse strategies considered. Closer examination of the effects of each strategy reveals that lifetime extension, through measures such as reuse and repair, could decrease resource extraction by 8% in 2050. Combining car- and ride-sharing activities could provide an additional 27% reduction. Further, the addition of EoL recycling could achieve a 25% reduction, resulting in a total reduction of 60%. This finding clearly underscores the importance of implementing circular economy strategies along with the energy transition.
Fig. 6. Effects of circular economy strategies on total material requirements associated with metal production, 2015–2050. The circular economy strategies include lifetime extension, servitization (car and ride sharing), and end-of-life recycling.
However, another key perspective in this domain is that the series of the circular economy strategies considered in this paper may not completely offset the increase in resource extraction. Namely, at least a seven-fold increase in resource extraction is inevitable in countries with poor resource governance, even if circular economy strategies are fully implemented (Fig. S3 in the Supplementary Material). This simply means that the set of circular economy strategies alone may not completely eliminate the paradox in which energy transition leads to a substantial increase in resource extraction in countries with insufficient resource governance. A truly sustainable energy transition will require the implementation of complementary measures to enhance resource governance.
4. Discussion
Our analysis showed that decarbonizing the electricity and road transport systems will reduce fossil fuel production while rapidly increasing resource extraction associated with metal production. More importantly, such an increase in resource extraction could be heavily concentrated in countries with weak, poor, and failing resource governance. This means that the impending mining boom driven by the energy transition could result in severe environmental damage and lower economic growth rather than benefitting local communities. Such outcomes should be carefully considered by energy policymakers, particularly with detailed knowledge of local contexts and using deliberative approaches, to navigate potentially deleterious trade-offs in this complex area. Accordingly, in the absence of effective mitigation measures, the energy transition may present policymakers and shareholders with an ethical conundrum in which a reduction in global carbon emissions is associated with a variety of socio-environmental risks at the local mining site. This can ultimately lead to a worsening of the spatial disparities between “resource-consuming” and “resource-producing” countries (Prior et al., 2013).
Our analysis highlights the considerable potential of circular economy strategies regarding such issues. In particular, a set of strategies comprising lifetime extension, sharing and recycling of EVs can reduce resource extraction by more than half compared to not implementing these strategies by 2050. In this context, while previous studies have indicated that EoL recycling has the greatest potential for reducing the primary demand for metals (Dominish et al., 2019; Watari et al., 2019), our analysis adds another perspective that needs to be considered. That is, other strategies, including lifetime extension and sharing practices, have the same or even greater potential to reduce resource extraction as EoL recycling. This clearly emphasizes the importance of exploring a cross-cutting strategy that spans the entire life-cycle of low-carbon technologies, not just the waste management stage.
In this regard, another important perspective obtained from our analysis is that a suite of circular economy strategies alone will not entirely offset the concomitant increase in resource extraction in countries with weak, poor, and failing resource governance. Responsible sourcing will be required where supply cannot be met by circular resource flows. In this context, initiatives related to responsible sourcing or ethical minerals schemes, such as the Responsible Sourcing Initiative, the IRMA Standard for Responsible Mining, CERA (certification of raw materials), and the Responsible Cobalt Initiative could play a significant role (Ali et al., 2017; Brink et al., 2021). For these approaches, independent third-party auditing augments credibility. Given the characteristics of low-carbon technologies that utilize a diversity of metals and which have a high reliance on mining countries with weak, poor, and failing governance, these initiatives need to be adapted widely and immediately to achieve truly sustainable energy transition. Clearly, improving resource governance is not a trivial task, and improvements will require a variety of approaches, not just certification schemes (Ali et al., 2017). Our analysis does not directly identify the best way in which resource governance can be improved, but it does identify the main areas of concern, including technologies, metals, and countries, that require attention.
Overall, our message is clear. First, a set of circular economy strategies spanning the entire life-cycle of low-carbon technologies, not just EoL recycling, needs to be implemented to effectively mitigate the rapid increase in resource extraction in countries with weak, poor, and failing resource governance. Second, there is a need for widespread adaptation of responsible sourcing frameworks, such as verified certification schemes, to compensate for supplies that cannot be met by circular resource flows. If such instruments can be optimized, then increased mining demand could be an important source of economic growth and adverse socio-environmental impacts could be avoided (IRP, 2019; Sovacool et al., 2020). Furthermore, the UN Environment Assembly resolution on mineral resource governance higlights the importance of improved resource governance globally (UNEP, 2019). Delivering an energy transition with enhanced resource governance therefore presents important opportunities, not only for mitigating climate change, but also for achieving a broader set of sustainable development goals (United Nations, 2015), such as SDGs1 (no poverty) and SDGs8 (decent work and economic growth).
5. Conclusion
The transition to a 1.5–2 °C world will fundamentally change existing the resource flows of both metals and fossil fuels. However, assessment of the potential impacts of such an energy system transition for mining countries is largely missing from existing studies. This study addresses this knowledge gap by linking global energy scenarios with a resource demand-supply models on a county-by-country basis. Our approach captures all used and unused resource extraction by using the total material requirement indicator, as well as the characteristics of each country in terms of the quality of their resource governance policies. The main findings of the study were as follows: (1) An inverse relationship exists between carbon emissions and resource extraction; (2) growth in resource extraction will be concentrated in countries with weak, poor, and failing resource governance; and (3) circular economy strategies, including lifetime extension, servitization and recycling, can moderate resource extraction growth, but mine development is inevitable. Our findings underscore the importance of institutional instruments governing the global supply chains of low-carbon technologies, such as product based certification and effective labelling schemes. If such responses are implemented properly, the energy transition could be a catalyst for achieving broader sets of sustainable development goals, not solely for mitigating climate change.
CRediT authorship contribution statement
Takuma Watari: Conceptualization, Formal analysis, Methodology, Visualization, Writing – original draft. Keisuke Nansai: Conceptualization, Methodology, Writing – review & editing. Kenichi Nakajima: Conceptualization, Writing – review & editing. Damien Giurco: Conceptualization, Visualization, Writing – review & editing.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
This research was supported in part by Grants-in-Aid for Research (Nos. 21K12344 and 19K24391) from the Japanese Ministry of Education, Culture, Sports, Science and Technology, from the Environment Research and Technology Development Fund (SII-6-2(JPMEERF20S20620)) of the Environmental Restoration and Conservation Agency of Japan, and from the Japan Society for the Promotion of Science (PE19729). We thank Mr. Wataru Takayanagi for providing helpful comments on graph visualization, and Dr. Stephen Northey and Dr. Steve Mohr for sharing data from their work.
Appendix A. Supplementary data
What’s this?
The following are the Supplementary data to this article:
Download : Download Acrobat PDF file (804KB)
Multimedia component 1.
Download : Download spreadsheet (38KB)
Multimedia component 2.
References
S.H. Ali, D. Giurco, N. Arndt, E. Nickless, G. Brown, A. Demetriades, R. Durrheim, M.A. Enriquez, J. Kinnaird, A. Littleboy, L.D. Meinert, R. Oberhänsli, J. Salem, R. Schodde, G. Schneider, O. Vidal, N. Yakovleva
Mineral supply for sustainable development requires resource governance
Nature, 543 (2017), pp. 367-372, 10.1038/nature21359View in ScopusGoogle ScholarAshby, 2012
M.F. Ashby
Materials for low-carbon power
Mater. Environ. (2012), pp. 349-413, 10.1016/b978-0-12-385971-6.00012-9Google ScholarBanza Lubaba Nkulu et al., 2018
C. Banza Lubaba Nkulu, L. Casas, V. Haufroid, T. De Putter, N.D. Saenen, T. Kayembe-Kitenge, P. Musa Obadia, D. Kyanika Wa Mukoma, J.M. Lunda Ilunga, T.S. Nawrot, O. Luboya Numbi, E. Smolders, B. Nemery
Sustainability of artisanal mining of cobalt in DR Congo
Nat. Sustain., 1 (2018), pp. 495-504, 10.1038/s41893-018-0139-4View in ScopusGoogle ScholarBGS Minerals UK, 2018
BGS Minerals UK
World Mineral Statistics Data
(2018)
[WWW Document]
Google ScholarBringezu et al., 2004
S. Bringezu, H. Schütz, S. Steger, J. Baudisch
International comparison of resource use and its relation to economic growth: the development of total material requirement, direct material inputs and hidden flows and the structure of TMR
Ecol. Econ., 51 (2004), pp. 97-124, 10.1016/j.ecolecon.2004.04.010View PDFView articleView in ScopusGoogle ScholarBrink et al., 2021
S. Van Den Brink, R. Kleijn, A. Tukker, J. Huisman
Approaches to responsible sourcing in mineral supply chains
Resour. Conserv. Recycl., 145 (2021), pp. 389-398, 10.1016/j.resconrec.2019.02.040Google Scholarde Koning et al., 2018
A. de Koning, R. Kleijn, G. Huppes, B. Sprecher, G. van Engelen, A. Tukker
Metal supply constraints for a low-carbon economy?
Resour. Conserv. Recycl., 129 (2018), pp. 202-208, 10.1016/j.resconrec.2017.10.040View PDFView articleView in ScopusGoogle ScholarDeetman et al., 2021
S. Deetman, H.S. de Boer, M. Van Engelenburg, E. van der Voet, D.P. van Vuuren
Projected material requirements for the global electricity infrastructure – generation, transmission and storage
Resour. Conserv. Recycl., 164 (2021), p. 105200, 10.1016/j.resconrec.2020.105200View PDFView articleView in ScopusGoogle ScholarDeetman et al., 2018
S. Deetman, S. Pauliuk, D.P. Van Vuuren, E. Van Der Voet, A. Tukker
Scenarios for demand growth of metals in electricity generation technologies, cars, and electronic appliances
Environ. Sci. Technol., 52 (2018), pp. 4950-4959, 10.1021/acs.est.7b05549View in ScopusGoogle ScholarDominish et al., 2018
E. Dominish, M. Retamal, S. Sharpe, R. Lane, M.A. Rhamdhani, G. Corder, D. Giurco, N. Florin
“Slowing” and “narrowing” the flow of metals for consumer goods: evaluating opportunities and barriers
Sustain, 10 (2018), 10.3390/su10041096Google ScholarDominish et al., 2019
E. Dominish, S. Teske, N. Florin
Responsible Minerals Sourcing for Renewable Energy
(2019)
Google ScholarGeissdoerfer et al., 2017
M. Geissdoerfer, P. Savaget, N.M.P. Bocken, E.J. Hultink
The Circular Economy – a new sustainability paradigm?
J. Clean. Prod., 143 (2017), pp. 757-768, 10.1016/j.jclepro.2016.12.048View PDFView articleView in ScopusGoogle ScholarGhisellini et al., 2016
P. Ghisellini, C. Cialani, S. Ulgiati
A review on circular economy: the expected transition to a balanced interplay of environmental and economic systems
J. Clean. Prod., 114 (2016), pp. 11-32, 10.1016/j.jclepro.2015.09.007View PDFView articleView in ScopusGoogle ScholarGiurco et al., 2019
D. Giurco, E. Dominish, N. Florin, T. Watari, B. McLellan
Requirements for minerals and metals for 100% Renewable scenarios
Achieving the Paris Climate Agreement Goals: Global and Regional 100% Renewable Energy Scenarios with Non-energy GHG Pathways for +1.5C and +2C (2019), 10.1007/978-3-030-05843-2_11Google ScholarHalada et al., 2001
K. Halada, K. Ijima, N. Katagiri, T. Okura
An approximate estimation of total materials requirement of metals
Nippon Kinzoku Gakkaishi/J. Japan Inst. Met., 65 (2001), pp. 564-570, 10.2320/jinstmet1952.65.7_564View in ScopusGoogle ScholarIEA, 2018
IEA
Global EV Outlook 2018. Towards Cross-Model Electrification, Electric Vehicles Initiative
(2018)
2016
Google ScholarIEA, 2017
IEA
Energy Technology Perspectives 2017: Catalysing Energy Technology Transformations Together Secure Sustainable
Paris, France
(2017), 10.1787/energy_tech-2017-enGoogle ScholarIEA, 2010
IEA
Energy Technology Systems Analysis Programme
France, Paris (2010), 10.1007/978-3-319-18639-9Google ScholarIRENA and IEA-PVPS, 2016
IRENA, IEA-PVPS
End-of-Life Management : Solar Photovoltaic Panels
(2016)
Google ScholarIRP, 2020
IRP
Resource Efficiency and Climate Change: Material Efficiency Strategies for a Low-Carbon Future
Nairobi, Kenya
(2020), 10.5281/zenodo.3542680Google ScholarIRP, 2019
IRP
Mineral Resource Governance in the 21st Century: Gearing Extractive Industries towards Sustainable Development
United Nations Environment Programme, Nairobi, Kenya (2019)
Google ScholarKirchherr et al., 2017
J. Kirchherr, D. Reike, M. Hekkert
Conceptualizing the circular economy: an analysis of 114 definitions
Resour. Conserv. Recycl., 127 (2017), pp. 221-232, 10.1016/j.resconrec.2017.09.005View PDFView articleView in ScopusGoogle ScholarKosai et al., 2020
S. Kosai, K. Matsui, K. Matsubae, E. Yamasue, T. Nagasaka
Natural resource use of gasoline, hybrid, electric and fuel cell vehicles considering land disturbances
Resour. Conserv. Recycl., 166 (2020), p. 105256, 10.1016/j.resconrec.2020.105256Google ScholarKosai et al., 2021
S. Kosai, U. Takata, E. Yamasue
Natural resource use of a traction lithium-ion battery production based on land disturbances through mining activities
J. Clean. Prod., 280 (2021), p. 124871, 10.1016/j.jclepro.2020.124871View PDFView articleView in ScopusGoogle ScholarLèbre et al., 2020
É. Lèbre, M. Stringer, K. Svobodova, J.R. Owen, D. Kemp, C. Côte, A. Arratia-Solar, R.K. Valenta
The social and environmental complexities of extracting energy transition metals
Nat. Commun., 11 (2020), p. 4823, 10.1038/s41467-020-18661-9View in ScopusGoogle ScholarMartin et al., 2010
E. Martin, S. Shaheen, J. Lidicker
Impact of carsharing on household vehicle holdings
Transport. Res. Rec. (2010), pp. 150-158, 10.3141/2143-19View in ScopusGoogle ScholarMohr, 2010
S. Mohr
Projection of World Fossil Fuel Production with Supply and Demand Interactions
Univ. Newcastle. University of Newcastle (2010)
Google ScholarMohr et al., 2018
S. Mohr, D. Giurco, M. Retamal, L. Mason, G. Mudd
Global projection of lead-zinc supply from known resources
Resources, 7 (2018), p. 17, 10.3390/resources7010017View in ScopusGoogle ScholarMohr et al., 2015
S. Mohr, D. Giurco, M. Yellishetty, J. Ward, G. Mudd
Projection of iron ore production
Nat. Resour. Res., 24 (2015), pp. 317-327, 10.1007/s11053-014-9256-6View in ScopusGoogle ScholarMohr et al., 2012
S.H. Mohr, G.M. Mudd, D. Giurco
Lithium resources and production: critical assessment and global projections
Minerals, 2 (2012), pp. 65-84, 10.3390/min2010065View in ScopusGoogle ScholarMudd, 2010
G.M. Mudd
The Environmental sustainability of mining in Australia: key mega-trends and looming constraints
Res. Pol., 35 (2010), pp. 98-115, 10.1016/j.resourpol.2009.12.001View PDFView articleView in ScopusGoogle ScholarNakajima et al., 2006
K. Nakajima, K. Ijima, K. Halada
Estimation of Total Material Requirement: Energy Resources and Industrial Materials
Tsukuba, Japan (2006)
Google ScholarNakajima et al., 2019
K. Nakajima, S. Noda, K. Nansai, K. Matsubae, W. Takayanagi, M. Tomita
Global distribution of used and unused extracted materials induced by consumption of iron, copper, and nickel
Environ. Sci. Technol., 53 (2019), pp. 1555-1563, 10.1021/acs.est.8b04575View in ScopusGoogle ScholarNatural Resource Governance Institute, 2017
Natural Resource Governance Institute
Natural Resource Governance Index
(2017)
Google ScholarNorthey et al., 2013
S. Northey, N. Haque, G. Mudd
Using sustainability reporting to assess the environmental footprint of copper mining
J. Clean. Prod., 40 (2013), pp. 118-128, 10.1016/j.jclepro.2012.09.027View PDFView articleView in ScopusGoogle ScholarNorthey et al., 2014
S. Northey, S. Mohr, G.M. Mudd, Z. Weng, D. Giurco
Modelling future copper ore grade decline based on a detailed assessment of copper resources and mining
Resour. Conserv. Recycl., 83 (2014), pp. 190-201, 10.1016/j.resconrec.2013.10.005View PDFView articleView in ScopusGoogle ScholarOwen et al., 2020
J.R. Owen, D. Kemp, Lèbre, K. Svobodova, G. Pérez Murillo
Catastrophic tailings dam failures and disaster risk disclosure
Int. J. Disaster Risk Reduct., 42 (2020), 10.1016/j.ijdrr.2019.101361Google ScholarPauliuk and Heeren, 2019
S. Pauliuk, N. Heeren
ODYM — an open software framework for studying dynamic material systems Principles , implementation , and data structures
J. Ind. Ecol. (2019), pp. 1-13, 10.1111/jiec.12952Google ScholarPauliuk et al., 2013
S. Pauliuk, T. Wang, D.B. Müller
Steel all over the world: estimating in-use stocks of iron for 200 countries
Resour. Conserv. Recycl., 71 (2013), pp. 22-30, 10.1016/j.resconrec.2012.11.008View PDFView articleView in ScopusGoogle ScholarPrior et al., 2013
T. Prior, P.A. Wäger, A. Stamp, R. Widmer, D. Giurco
Sustainable governance of scarce metals: the case of lithium
Sci. Total Environ., 461–462 (2013), pp. 785-791, 10.1016/j.scitotenv.2013.05.042View PDFView articleView in ScopusGoogle ScholarReuter et al., 2019
Markus Reuter, Antoinette van Schaik, Jens Gutzmer, Neill Bartie, Alejandro Abadías-Llamas
Challenges of the Circular Economy: A Material, Metallurgical, and Product Design Perspective
Annu. Rev. Mater. Res., 49 (2019), pp. 253-274, 10.1146/annurev-matsci-070218-010057View in ScopusGoogle ScholarSonter et al., 2020
L.J. Sonter, M.C. Dade, J.E.M. Watson, R.K. Valenta
Renewable energy production will exacerbate mining threats to biodiversity
Nat. Commun., 11 (2020), pp. 6-11, 10.1038/s41467-020-17928-5Google ScholarSovacool et al., 2020
B.B.K. Sovacool, S.H. Ali, M. Bazilian, B. Radley
Sustainable minerals and metals for a low-carbon future
Science, 80 (2020), p. 367
Google ScholarStahel, 2016
W.R. Stahel
Circular economy
Nature, 531 (2016), pp. 435-438, 10.1038/531435aView in ScopusGoogle ScholarThe World Bank, 2020
The World Bank
Minerals for Climate Action : the Mineral Intensity of the Clean Energy Transition
(2020)
Google ScholarThe World Bank, 2017
The World Bank
The Growing Role of Minerals and Metals for a Low Carbon Future
Washington, DC
(2017), 10.1596/28312Google ScholarU.S. Geological Survey, 2020
U.S. Geological Survey
Commodity Statistics and Information
(2020)
[WWW Document]. URL
https://minerals.usgs.gov/minerals/pubs/mcs/Google ScholarUnited Nations, 2015
United Nations
UN Sustainable Development Goals: 17 Goals to Transform Our World
(2015), 10.1038/505587aGoogle ScholarWatari et al., 2019
T. Watari, B.C. McLellan, D. Giurco, E. Dominish, E. Yamasue, K. Nansai
Total material requirement for the global energy transition to 2050: a focus on transport and electricity
Resour. Conserv. Recycl., 148 (2019), pp. 91-103, 10.1016/j.resconrec.2019.05.015View PDFView articleView in ScopusGoogle ScholarWatari et al., 2021
T. Watari, K. Nansai, K. Nakajima
Major metals demand, supply, and environmental impacts to 2100: a critical review
Resour. Conserv. Recycl. (2021), 10.1016/j.resconrec.2020.105107Google ScholarWatari et al., 2020
T. Watari, K. Nansai, K. Nakajima
Review of critical metal dynamics to 2050 for 48 elements
Resour. Conserv. Recycl., 155 (2020), p. 104669, 10.1016/j.resconrec.2019.104669View PDFView articleView in ScopusGoogle ScholarWerner et al., 2020
T.T. Werner, G.M. Mudd, A.M. Schipper, M.A.J. Huijbregts, L. Taneja, S.A. Northey
Global-scale remote sensing of mine areas and analysis of factors explaining their extent
Global Environ. Change, 60 (2020), p. 102007, 10.1016/j.gloenvcha.2019.102007View PDFView articleView in ScopusGoogle ScholarWiedenhofer et al., 2019
D. Wiedenhofer, T. Fishman, C. Lauk, W. Haas, F. Krausmann
Integrating material stock dynamics into economy-wide material flow accounting: concepts, modelling, and global application for 1900–2050
Ecol. Econ., 156 (2019), pp. 121-133, 10.1016/j.ecolecon.2018.09.010View PDFView articleView in ScopusGoogle ScholarWuppertal Institute, 2014
Wuppertal Institute
Material intensity of materials, fuels, transport services
Food (2014)
Google ScholarYamasue et al., 2010
E. Yamasue, R. Minamino, T. Numata, K. Nakajima, S. Murakami, I. Daigo, S. Hashimoto, H. Okumura, K.N. Ishihara
Novel evaluation method of elemental recyclability from urban mine - concept of urban ore TMR
Nippon Kinzoku Gakkaishi/J. Japan Inst. Met., 74 (2010), pp. 718-723, 10.2320/jinstmet.74.718View in ScopusGoogle ScholarYin et al., 2018
B. Yin, L. Liu, N. Coulombel, V. Viguié
Appraising the environmental benefits of ride-sharing: the Paris region case study
J. Clean. Prod., 177 (2018), pp. 888-898, 10.1016/j.jclepro.2017.12.186View PDFView articleView in ScopusGoogle ScholarZiemann et al., 2018
S. Ziemann, D.B. Müller, L. Schebek, M. Weil
Modeling the potential impact of lithium recycling from EV batteries on lithium demand: a dynamic MFA approach
Resour. Conserv. Recycl., 133 (2018), pp. 76-85, 10.1016/j.resconrec.2018.01.031View PDFView articleView in ScopusGoogle ScholarUNEP, 2019https://wedocs.unep.org/bitstream/handle/20.500.11822/28501/English.pdf?sequence=3&isAllowed=y (2019)Google Scholar
Cited by (25)
Mining the in-use stock of energy-transition materials for closed-loop e-mobility
2023, Resources Policy
Material Requirements, Circularity Potential and Embodied Emissions Associated with Wind Energy
2023, Sustainable Production and Consumption
Promoting sustainable fossil fuels resources in BRICS countries: Evaluating green policies and driving renewable energy development
2023, Resources Policy
Study on grid price mechanism of new energy power stations considering market environment
2023, Renewable Energy
Responsible sourcing for energy transitions: Discussing academic narratives of responsible sourcing through the lens of natural resources justice
2023, Journal of Environmental Management
Citation Excerpt :
To tackle these challenges and strive for a just (re-)distribution of access to and benefits of natural resources, advances in global resource governance (Ali et al., 2017) and earth stewardship (Chapin et al., 2022) are needed. These concepts play a progressively important role in transition research (e.g., Christmann, 2021; Watari et al., 2021) which draw substantial attention to aspects like natural resource justice (NRJ). Accepting the finiteness of natural resources and the constraints on how these resources can be used, NRJ conceptualizes (i) the distribution of resource rights; (ii) the distribution of benefits and burdens derived from resource use; (iii) the distribution of decision-making power regarding resource use, and (iv) the potential use and protection of resources (Armstrong, 2017).
View all citing articles on Scopus