Evidence map›Paper›PMID 36942056›Full record

ArticleJournal of cleaner production2023

Driving forces and variation in water footprint before and after the COVID-19 lockdown in Fujian Province of China.

Fan Yu, Yuan Wang, Xin Liu, Jinru Yu, Dandan Zhao, Haijun Deng, Bin Guo, Rui Shi, Bowei Wu, Huayang Chen

Abstract read
In one paragraph

Article in Journal of cleaner production, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Fan YuInstitute of Geography, Fujian Normal University, Fuzhou, 350007, China.
Yuan WangInstitute of Geography, Fujian Normal University, Fuzhou, 350007, China.
Xin LiuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
Jinru YuInstitute of Geography, Fujian Normal University, Fuzhou, 350007, China.
Dandan ZhaoWater & Development Research Group, Department of Built Environment, Aalto University, PO Box 15200, 00076, Espoo, Finland.
Haijun DengInstitute of Geography, Fujian Normal University, Fuzhou, 350007, China.
Bin GuoKey Laboratory of Geomatics and Digital Technology of Shandong Province, Shandong University of Science and Technology, Qingdao, 266590, China.
Rui ShiDepartment of Environmental Health and Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Bowei WuInstitute of Geography, Fujian Normal University, Fuzhou, 350007, China.
Huayang ChenInstitute of Geography, Fujian Normal University, Fuzhou, 350007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak has injured the global industrial supply chain, especially China as the world's largest manufacturing base. Since 2020, China has implemented a rigorous lockdown policy, which has sternly damaged sectoral trade in export-oriented coastal areas. Fujian Province, which mainly processes imported materials, has a more profound influence. Although the COVID-19 lockdown has had some detrimental consequences on the world economy, it also had some favorable benefits on the global ecology. Previous studies have shown that the lockdown has altered the physical water quantity and quality, but the lack of total, virtual, and physical water research that combines water quantity and water quality simultaneously to pinpoint the subject and responsibility of water resources consumption and pollution. This research quantified the physical, virtual, and total water consumption and water pollution among 30 sectors in Fujian Province based on the theory of water footprint and the Economic Input-Output Life Cycle Assessment model. SDA model was then used to investigate the socioeconomic elements that underpin variations in the water footprint. The results show that after the lockdown, the physical water quantity and the physical grey WF in Fujian Province decreased by 2.6 Gm

Indexed as

COVID-19Driving forcesPhysical water footprintVirtual waterWater footprint

Identifiers

PMID36942056
PMCPMC9995357

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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.