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Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target

Under pressure from the environment and resources, emission peak and carbon neutrality have rapidly become a global issue. The optimization of the ecological goal should be in line with the energy target. In most instances, however, the economic and the ecological goals cannot be unified. This paper...

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Detalles Bibliográficos
Autores principales: Shi, Qibao, Xu, Weina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049558/
https://www.ncbi.nlm.nih.gov/pubmed/36982076
http://dx.doi.org/10.3390/ijerph20065167
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author Shi, Qibao
Xu, Weina
author_facet Shi, Qibao
Xu, Weina
author_sort Shi, Qibao
collection PubMed
description Under pressure from the environment and resources, emission peak and carbon neutrality have rapidly become a global issue. The optimization of the ecological goal should be in line with the energy target. In most instances, however, the economic and the ecological goals cannot be unified. This paper establishes a multi-objective optimization model that maximizes the economic benefit of enterprises and the ecosystem activity of the government in the meantime. The idea point method is used in solving this multi-objective optimization problem in the form of a single-objective optimization problem. The numerical experiment documents four types of Chinese enterprises, which are primary resources, industrial manufacturing, public services and commercial consumption. Some management insights are summarized at the end, such as the cores of achieving high-quality and low-carbon development are industrial manufacturing and public services in China.
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spelling pubmed-100495582023-03-29 Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target Shi, Qibao Xu, Weina Int J Environ Res Public Health Article Under pressure from the environment and resources, emission peak and carbon neutrality have rapidly become a global issue. The optimization of the ecological goal should be in line with the energy target. In most instances, however, the economic and the ecological goals cannot be unified. This paper establishes a multi-objective optimization model that maximizes the economic benefit of enterprises and the ecosystem activity of the government in the meantime. The idea point method is used in solving this multi-objective optimization problem in the form of a single-objective optimization problem. The numerical experiment documents four types of Chinese enterprises, which are primary resources, industrial manufacturing, public services and commercial consumption. Some management insights are summarized at the end, such as the cores of achieving high-quality and low-carbon development are industrial manufacturing and public services in China. MDPI 2023-03-15 /pmc/articles/PMC10049558/ /pubmed/36982076 http://dx.doi.org/10.3390/ijerph20065167 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shi, Qibao
Xu, Weina
Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target
title Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target
title_full Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target
title_fullStr Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target
title_full_unstemmed Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target
title_short Low-Carbon Path Transformation for Different Types of Enterprises under the Dual-Carbon Target
title_sort low-carbon path transformation for different types of enterprises under the dual-carbon target
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10049558/
https://www.ncbi.nlm.nih.gov/pubmed/36982076
http://dx.doi.org/10.3390/ijerph20065167
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