Evidence map›Paper›PMID 34686962›Full record

ArticleEnvironmental science and pollution research international2022

Spatiotemporal dynamics and influencing factors of the global material footprint.

Heming Wang, Yao Wei, Yueming Wu, Xinzhe Wang, Yao Wang, Guoqiang Wang, Qiang Yue

Abstract read
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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Heming WangState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China. wangheming2006@gmail.com.ORCID http://orcid.org/0000-0003-3487-0912
Yao WeiState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China.
Yueming WuState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China.
Xinzhe WangState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China.
Yao WangState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China.
Guoqiang WangState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China.
Qiang YueState Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, No.11, Lane 3, Wen Hua Road, He Ping District, Shenyang, Liaoning, 110819, People's Republic of China.

Funding

national natural science foundation of china 41871204national natural science foundation of china 52070034
6 · The paper itself

Abstract

Environmental pressures have rapidly increased in various regions worldwide due to globalization. Thus, sustainable consumption and production are crucial for sustainable resource development. The material footprint (MF) of 180 countries was calculated from 1995 to 2015, and spatial autocorrelation analysis was conducted to investigate the spatiotemporal trend of the global MF. The results show that the global MF presented an upward trend from 1995 to 2015, increasing by 83%, and we find that the global per capita MF exhibits clustering, with an increasing trend during the study period. The findings indicate that resource consumption is similar in neighboring areas, especially in countries with a high MF surrounded by countries with a high MF (high-high clustering) and countries with low-low clustering. In addition, the number of countries with high clustering increased during the study period. We should take advantage of clustering, improve resource utilization, increase the technical carrying capacity, and develop energy-saving technologies. In African regions with low-low clustering, the economy of the surrounding areas should be stimulated to strengthen economic and technological clustering. In addition, advanced technology should be incorporated to improve the efficiency of using natural resources. This study can provide a reference for the spatial distribution of sustainable resource development.

Indexed as

Conservation of Natural ResourcesNatural ResourcesChinaEconomic DevelopmentSustainable DevelopmentTechnologyMaterial flow analysisMaterial footprintSpatiotemporal dynamicsSustainable development

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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.