Carbon emission calculation and control of agricultural product supply chain under the background of energy conservation and emission reduction
Jing Xue and
Jina Cui
International Journal of Environmental Technology and Management, 2025, vol. 28, issue 1/2/3, 91-110
Abstract:
To overcome the problems of low accuracy, long calculation time, and minimal carbon emission reduction in traditional carbon emission calculation and control methods, a new carbon emission calculation and control method of agricultural product supply chain under the background of energy conservation and emission reduction is proposed. The grey relational analysis and extended STIRPAT model are used to select the influencing factors of carbon emissions in the agricultural product supply chain, and the AOA-LSTM model is used to calculate the carbon emissions. The carbon emissions of the agricultural product supply chain under the background of energy conservation and emission reduction are controlled based on allocation adjustment factors, carbon emissions increment distribution ratios, and allocation quotas. The experimental results show that the accuracy of the proposed method varies between 94.9% and 97.9%, with a maximum calculation time of 1.03 s. The carbon emission reduction after nine months 1.238 × 106t.
Keywords: energy conservation and emission reduction; agricultural product; supply chain; carbon emission calculation; control; AOA-LSTM model. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=144500 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetma:v:28:y:2025:i:1/2/3:p:91-110
Access Statistics for this article
More articles in International Journal of Environmental Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().