Evidence map›Paper›PMID 37349289›Full record

ArticleNature communications2023

Tracing metal footprints via global renewable power value chains.

Rao Fu, Kun Peng, Peng Wang, Honglin Zhong, Bin Chen, Pengfei Zhang, Yiyi Zhang, Dongyang Chen, Xi Liu, Kuishuang Feng and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Rao Fu *Institute of Blue and Green Development, Shandong University, Weihai, 264209, P. R. China.
Kun Peng *Institute of Blue and Green Development, Shandong University, Weihai, 264209, P. R. China.
Peng WangKey Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, P. R. China.
Honglin ZhongInstitute of Blue and Green Development, Shandong University, Weihai, 264209, P. R. China.
Bin ChenDepartment of Environmental Science and Engineering, Fudan University, Shanghai, 200082, P. R. China.
Pengfei ZhangInstitute of Blue and Green Development, Shandong University, Weihai, 264209, P. R. China.
Yiyi ZhangGuangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning, 530004, P. R. China.ORCID http://orcid.org/0000-0001-8785-126X
Dongyang ChenShandong Key Laboratory of Blockchain Finance, Shandong University of Finance and Economics, Jinan, 250014, P. R. China.
Xi LiuInstitute of Blue and Green Development, Shandong University, Weihai, 264209, P. R. China. liuxi@sdu.edu.cn.
Kuishuang FengDepartment of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA. kfeng@umd.edu.ORCID http://orcid.org/0000-0001-5139-444X
Jiashuo LiInstitute of Blue and Green Development, Shandong University, Weihai, 264209, P. R. China. lijiashuo@sdu.edu.cn.ORCID http://orcid.org/0000-0002-2915-4770

Funding

National Natural Science Foundation of China (National Science Foundation of China) 71834004National Natural Science Foundation of China (National Science Foundation of China) 72074138National Natural Science Foundation of China (National Science Foundation of China) 72222014National Natural Science Foundation of China (National Science Foundation of China) 72348001
6 · The paper itself

Abstract

The globally booming renewable power industry has stimulated an unprecedented interest in metals as key infrastructure components. Many economies with different endowments and levels of technology participate in various production stages and cultivate value in global renewable power industry production networks, known as global renewable power value chains (RPVCs), complicating the identification of metal supply for the subsequent low-carbon power generation and demand. Here, we use a multi-regional input-output model (MRIO) combined with a value chain decomposition model to trace the metal footprints (MFs) and value-added of major global economies' renewable power sectors. We find that the MFs of the global renewable power demand increased by 97% during 2005-2015. Developed economies occupy the high-end segments of RPVCs while allocating metal-intensive (but low value-added) production activities to developing economies. The fast-growing demand for renewable power in developed economies or developing economies with upper middle income, particularly China, is a major contributor to the embodied metal transfer increment within RPVCs, which is partly offset by the declining metal intensities in developing economies. Therefore, it is urgent to establish a metal-efficient and green supply chain for upstream suppliers as well as downstream renewable power installers for just transition in the power sector across the globe.

Indexed as

Carbon DioxideIndustryChinaEconomic DevelopmentRenewable EnergyCarbon Dioxide

Identifiers

PMID37349289
PMCPMC10287728

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.