Evidence map›Paper›PMID 40617840›Full record

ArticleScientific data2025

China's future food demand forecast based on provincial diets and shared socio-economic pathways.

Mulin Chen, Linsheng Yang, Hairong Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

3 authors.

Mulin Chen *Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Linsheng Yang *Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Hairong LiKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. lihr@igsnrr.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Building on the vast heterogeneity in dietary practices and population size across China, which has contributed to profound regional disparities in food demand, this study incorporated provincial-level dietary preferences and energy needs across different age groups, genders, and residential statuses to project future regional dietary patterns and food demand in China across the five shared socio-economic pathway (SSP) scenarios. The projected diets were proven to be consistent with Chinese dietary practices and fulfilled macronutritrient requirements, compared to dietary guidelines from the EAT-Lancet Commission, the Chinese Nutrition Society, and major peer studies. The dataset covers raw grain demand for 13 major food categories-including rice, wheat, maize, highland barley, tubers, beans, pork, beef, mutton, poultry, aquatic products, eggs, and dairy products-at the provincial level, spanning 2020 to 2100. Diet directly relates to food security, human health, and environmental sustainability. The developed dataset provides detailed demand information at both spatial and food-specific levels, offering valuable insights for conducting food management strategies tailored to regional needs and optimizing resource allocation strategies.

Indexed as

DietFood SupplyChinaForecastingHumansSocioeconomic Factors

Identifiers

PMID40617840
PMCPMC12228782

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.