A low-carbon supply chain pricing mechanism considering CSR under carbon cap-and-trade policy.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 04 03 2024
accepted: 26 09 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 25 10 2024
Statut: epublish

Résumé

In the context of environmental deterioration and people's growing environmental protection awareness, governments or regions have put forward corresponding carbon emission reduction policies. Among them, the carbon trading mechanism, as an effective means to promote enterprises to implement emission reduction measures, plays a crucial role in regulating enterprise behavior and promoting social sustainable development. Since various industries and sectors support each other in social and economic development, it is more reasonable to study the carbon emission reduction optimization decisions of society and enterprises from the perspective of the supply chain. To achieve the carbon reduction target of the supply chain system, manufacturing enterprises usually need to incur additional costs to invest in emission reduction technologies, and retail enterprises also need to conduct low-carbon publicity to increase product market share. On one hand, considering the impact of the government's emission reduction constraints and consumers' low-carbon preferences, manufacturers will take corporate social responsibility (CSR) into consideration to enhance product competitiveness. On the other hand, smaller retailers are more concerned about being treated fairly than about their own profits due to the extra cost of low-carbon advertising. In this paper, considering the background of carbon trading, the manufacturer's CSR and retailer's fairness concern behavior are introduced into the decision-making process of the low-carbon supply chain (LCSC), and the relevant emission reduction decision-making model is constructed by using Stackelberg game theory and backward derivation method. Through comparative analysis of relevant parameters, members' profits and utilities, this paper focuses on the influence of CSR and fairness concerns on system decision-making. The results show that the optimal way for LCSC decision-making is to cooperate with fair-concerned retailers and manufacturers with CSR. When manufacturers consider social responsibility within a certain range and retailers bear part of the cost of social responsibility as followers, it can not only effectively improve the emission reduction level of the supply chain and the profits of each entity, but also help to increase the enthusiasm of each entity for carbon emission reduction and the overall social welfare.

Identifiants

pubmed: 39453972
doi: 10.1371/journal.pone.0311913
pii: PONE-D-24-08839
doi:

Substances chimiques

Carbon 7440-44-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0311913

Informations de copyright

Copyright: © 2024 Zou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Hao Zou (H)

School of Business Administration, Hunan University of Finance and Economics, Changsha, China.

Jin Xiao (J)

School of Business Administration, Hunan University of Finance and Economics, Changsha, China.

Yuanyuan Lou (Y)

School of Business Administration, Hunan University of Finance and Economics, Changsha, China.

Dan Liao (D)

School of Business Administration, Hunan University of Finance and Economics, Changsha, China.

Huwei Deng (H)

School of Business Administration, Hunan University of Finance and Economics, Changsha, China.

Jiehui Jiang (J)

School of Business Administration, Hunan University of Finance and Economics, Changsha, China.

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