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Research Article

Appropriate carbon emission from large-scale breeding based on a binary analysis framework of external environmental costs and resource losses

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Article: 2275719 | Received 03 Dec 2022, Accepted 23 Oct 2023, Published online: 29 Nov 2023
 

ABSTRACT

The emission of greenhouse gases is one of the main reasons for climate change, which comes from partially the agricultural production activities, especially livestock and poultry-scale breeding. Massive breeding of livestock and poultry can ensure the safe supply of meat, but it leads to much carbon emission. On the one hand, it is difficult to get zero carbon emissions based on today’s technology level. On the other hand, the emission shouldn’t be too high. Therefore, it is very necessary to determine appropriate carbon emission criteria and then to ensure the sustainable development of scale breeding farms. In this paper, after modelling resource losses, external environmental costs and carbon emissions, the binary analysis framework of resource losses and external environmental costs of scale-breeding farms was built, and then the relationship between the carbon emission and binary analysis framework was analysed in detail. Then, the criteria for determining moderate carbon emissions have been established. Research studies show that carbon emission decreases with the control of external environmental costs and resource losses. And the appropriate carbon emission can be determined when two subsystems of internal resource usage and external environment are in dynamic equilibrium.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This paper is supported by the state scholarship fund of the China Scholarship Council (201808505088), the Social Science Planning Project of Chongqing city (2016BS031), Chongqing Educational Science Planning Project (2017GX266), the Social Science Project of Chongqing University of Posts and Telecommunications (2017KZD12) and Doctoral Research Initiation Project of Chongqing University of Posts and Telecommunications (2023).