Evidence map›Paper›PMID 34212331›Full record

ArticleEnvironmental science and pollution research international2021

Disparities and drivers of the water footprint of food consumption in China.

Zhengqi Pang, Dan Yan, Tongyao Wang, Ying Kong

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zhengqi PangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
Dan YanSchool of Public Administration, Zhejiang University of Technology, Hangzhou, 310023, China. yandan1718@163.com.ORCID http://orcid.org/0000-0003-1219-9646
Tongyao WangTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
Ying KongTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.

Funding

National Natural Science Foundation of China No. 71803182
6 · The paper itself

Abstract

Food production requires a large amount of water. As a country facing a serious scarcity of per capita water resources and severe water pollution, China must explore the spatial distribution characteristics of its dietary water footprint. China is the world's largest developing country, and water consumption inevitably has increased with its economic development. It is essential to explore the factors influencing the water footprint and water conservation mechanisms. Based on China Health and Nutrition Survey (CHNS) data, individual-level data of dietary water footprint and residents' socio-economic characteristics were obtained. The decision tree was applied to classify the dietary water footprint based on socio-economic factors, and multinomial logistic regression was then performed to investigate the influence of each factor. The results showed that all six selected socio-economic factors had a statistically significant impact on the dietary water footprint. Income and education level were positively related to the dietary water footprint; urban residents, males, and residents with a higher body mass index (BMI) consumed more dietary water than rural residents, females, and those with a lower BMI, respectively. Age exhibited an inverted U-shaped influence. Understanding the drivers and disparities of the water footprint of food consumption can support the development of policy for energy conservation, which can ultimately help achieve the goal of reducing water waste.

Indexed as

WaterWater ResourcesChinaEconomic DevelopmentHumansNutrition SurveysWaterChinaDecision treeFood consumptionHouseholdMachine learningWater footprint

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.