Optimization analysis of grain self-production and import structure based on carbon footprint

PurposeThe purpose of this paper is to reduce the carbon footprint of food by adjusting the international trade and planting structure and to provide possible ideas for the improvement of the world's food green production and green trade.Design/methodology/approachUsing the literature analysis...

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Bibliographic Details
Published in:China agricultural economic review 2022-10, Vol.14 (4), p.741-757
Main Authors: Zhang, Hua, Zhao, Fang, Han, Kexuan
Format: Article
Language:English
Subjects:
Agricultural economics
Agricultural production
Animal husbandry
Autoregressive models
Barley
Carbon
Carbon content
Carbon footprint
Cereals
Climate change
Emissions
Emissions control
Emissions trading
Empirical analysis
Energy consumption
Environmental impact
Environmental policy
Environmental protection
Food
Food security
Footprint analysis
Grain
Greenhouse effect
Greenhouse gases
Imports
International trade
Land surveys
Life cycle analysis
Life cycle assessment
Life cycles
Milk
Optimization
Optimization models
Per capita
Planting
Prediction models
Respiration
Seafood
Self sufficiency
Sorghum
Soybeans
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Summary:PurposeThe purpose of this paper is to reduce the carbon footprint of food by adjusting the international trade and planting structure and to provide possible ideas for the improvement of the world's food green production and green trade.Design/methodology/approachUsing the literature analysis method to collect carbon footprint data calculated based on the life cycle assessment (LCA) method, and establishing an optimization model and an ARIMA prediction model for empirical analysis, this paper explores the possibility to reduce carbon emissions by adjusting import structure and self-production structure.FindingsThe results show that only through the adjustment of the import structure, carbon emissions can be reduced by 3.29 million tons at the source of imports. When domestic self-production is included, a total of 4.51 million tons of carbon emissions can be reduced, this provides ideas for low-carbon emission reduction in agriculture and animal husbandry.Originality/valueThis article is the first to use the carbon footprint data obtained by other scholars using LCA to optimize and analyze the grain trade structure and planting structure from a low-carbon perspective, and obtain specific emission reductions.
ISSN:1756-137X
1756-1388
DOI:10.1108/CAER-02-2022-0036