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A Decision-Making System for Low Carbon Manufacturing
Based on the stochastic market demand of products, this paper studies the low-carbon manufacturing decisions making of manufacturing enterprises considering downward substitution and green technology input under the carbon cap-and-trade policy. The results show that the government's carbon trad...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076112/ https://www.ncbi.nlm.nih.gov/pubmed/37034389 http://dx.doi.org/10.1155/2022/5791880 |
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author | Ma, Changsong Yuan, Tiantong Yao, Yuzhong Wang, Lixu Gao, Hanyao Zhang, Ming Liang zhou, Li, Jiaonan Guan, Lian |
author_facet | Ma, Changsong Yuan, Tiantong Yao, Yuzhong Wang, Lixu Gao, Hanyao Zhang, Ming Liang zhou, Li, Jiaonan Guan, Lian |
author_sort | Ma, Changsong |
collection | PubMed |
description | Based on the stochastic market demand of products, this paper studies the low-carbon manufacturing decisions making of manufacturing enterprises considering downward substitution and green technology input under the carbon cap-and-trade policy. The results show that the government's carbon trade policy will have a great impact on the production of manufacturing enterprises. Therefore, manufacturing enterprises must attach importance to the constraints of the government's carbon emission reduction policies. In terms of it, there are strategies for manufacturing enterprises such as adjusting the output, trading the carbon emission right, and so on. On this case, green technology input can increase the expected profit of manufacturing enterprises, especially in the case of downward substitution. |
format | Online Article Text |
id | pubmed-10076112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-100761122023-04-06 A Decision-Making System for Low Carbon Manufacturing Ma, Changsong Yuan, Tiantong Yao, Yuzhong Wang, Lixu Gao, Hanyao Zhang, Ming Liang zhou, Li, Jiaonan Guan, Lian Comput Intell Neurosci Research Article Based on the stochastic market demand of products, this paper studies the low-carbon manufacturing decisions making of manufacturing enterprises considering downward substitution and green technology input under the carbon cap-and-trade policy. The results show that the government's carbon trade policy will have a great impact on the production of manufacturing enterprises. Therefore, manufacturing enterprises must attach importance to the constraints of the government's carbon emission reduction policies. In terms of it, there are strategies for manufacturing enterprises such as adjusting the output, trading the carbon emission right, and so on. On this case, green technology input can increase the expected profit of manufacturing enterprises, especially in the case of downward substitution. Hindawi 2022-08-08 /pmc/articles/PMC10076112/ /pubmed/37034389 http://dx.doi.org/10.1155/2022/5791880 Text en Copyright © 2022 Changsong Ma et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ma, Changsong Yuan, Tiantong Yao, Yuzhong Wang, Lixu Gao, Hanyao Zhang, Ming Liang zhou, Li, Jiaonan Guan, Lian A Decision-Making System for Low Carbon Manufacturing |
title | A Decision-Making System for Low Carbon Manufacturing |
title_full | A Decision-Making System for Low Carbon Manufacturing |
title_fullStr | A Decision-Making System for Low Carbon Manufacturing |
title_full_unstemmed | A Decision-Making System for Low Carbon Manufacturing |
title_short | A Decision-Making System for Low Carbon Manufacturing |
title_sort | decision-making system for low carbon manufacturing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076112/ https://www.ncbi.nlm.nih.gov/pubmed/37034389 http://dx.doi.org/10.1155/2022/5791880 |
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