Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Relocate 10 billion livestock to reduce harmful nitrogen pollution exposure for 90% of China’s population

Zhaohai Bai, Xiangwen Fan, Xinpeng Jin, Zhanqing Zhao, Yan Wu, O. Oenema, G.L. Velthof, Chunsheng Hu, Lin Ma

Nature Food · 2022

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Summary

This 2022 modelling study in Nature Food proposes that large-scale relocation of China's livestock production away from population centres could substantially reduce exposure to harmful nitrogen pollution for the majority of the Chinese population. The authors analyse current livestock distribution patterns and model exposure scenarios under alternative production geographies. The work bridges agricultural policy, environmental contamination, and public health outcomes in a major agricultural economy.

UK applicability

The UK has significantly lower livestock density and more distributed production systems than China, with established environmental regulations on intensive livestock operations. However, the methodology and spatial-exposure modelling approach may be relevant to UK policy discussions on intensive poultry and pig production clustering in regions such as the Midlands and East Anglia.

Key measures

Nitrogen pollution exposure prevalence across Chinese population; livestock distribution patterns; exposure reduction under alternative geographic scenarios

Outcomes reported

The study modelled the spatial distribution of China's livestock production and estimated nitrogen pollution exposure under alternative relocation scenarios. It assessed the potential public health benefit (exposure reduction for ~90% of the population) achievable through geographic redistribution of approximately 10 billion livestock units.

Theme
Policy, governance & rights
Subject
Food & agricultural policy
Study type
Research
Study design
Modelling study
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Intensive livestock
DOI
10.1038/s43016-021-00453-z
Catalogue ID
SNmoht1szh-rjn2k7

Topic tags

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