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Measuring pollutant emissions of cattle breeding and its spatial-temporal variation in China

Yang, Tianle; Li, Fangmin; Du, Min; Wang, Yinxin; Sun, Zhennan


Tianle Yang

Fangmin Li

Yinxin Wang

Zhennan Sun


The rapid development of animal husbandry has resulted in serious pollution issues in the livestock and poultry breeding industry, increasing the cost of environmental management. This issue is particularly prominent in China due to its rapid economic development, significant domestic consumption, and aggressive carbon neutrality targets. This study analyses pollution emissions and spatial-temporal variation in China's cattle breeding industry. Using an emission coefficient method and panel data of 31 Chinese provinces/municipalities between 2002 and 2017, we measure the total volume of pollutant emissions from China's cattle breeding industry and five major pollutants: chemical oxygen demand, total nitrogen, total phosphorus, copper, and zinc. We also analyse the dynamic variation of the spatial distribution. The results show that both the total emissions volume and emissions of the five major pollutants have decreased to different extents, among which chemical oxygen demand has decreased the fastest. Spatial divergence is strengthened as the heavy pollution areas have moved from the southeast to the northwest of the country. This study contributes to current research by its focus on the cattle breading industry and by our improvements to the pollutant emission measurement method.

Journal Article Type Article
Acceptance Date Aug 23, 2021
Online Publication Date Sep 3, 2021
Publication Date 2021-12
Deposit Date Nov 18, 2021
Publicly Available Date Sep 4, 2022
Journal Journal of Environmental Management
Print ISSN 0301-4797
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 299
Article Number 113615
Keywords Cattle breeding, Pollutant emission, Spatial distribution, Emission factors
Public URL


Measuring Pollutant Emissions Of Cattle Breeding And Its Spatial-temporal Variation In China (accepted version) (974 Kb)


Copyright Statement
Accepted version licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.

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