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Decision models of emission reduction considering CSR under reward-penalty policy

For the two emission reduction technologies of clean process (CT Mode) and end-of-pipe pollution control technology (ET Mode), this paper constructs production and low-carbon R&D decision-making models considering consumers’ green preference, and discusses the impact of social responsibility on...

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Detalles Bibliográficos
Autores principales: Wang, Yang, Chen, Xiuling, Zhou, Xideng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335686/
https://www.ncbi.nlm.nih.gov/pubmed/37432959
http://dx.doi.org/10.1371/journal.pone.0285895
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author Wang, Yang
Chen, Xiuling
Zhou, Xideng
author_facet Wang, Yang
Chen, Xiuling
Zhou, Xideng
author_sort Wang, Yang
collection PubMed
description For the two emission reduction technologies of clean process (CT Mode) and end-of-pipe pollution control technology (ET Mode), this paper constructs production and low-carbon R&D decision-making models considering consumers’ green preference, and discusses the impact of social responsibility on firm’s decision-making, profit and social welfare. Then, the difference of optimal decision, profit and social welfare is analyzed when the firm adopt two emission reduction technologies with or without reward-penalty policy. The main conclusions of this paper are as follows: (1) Whether using clean process technology or end-of-pipe pollution control technology, consumers’ green preference behavior can increase corporate profit. When consumers’ green preference is small, consumers’ green preference is negatively correlated with social welfare. When consumers’ green preference is large, consumers’ green preference is positively correlated with social welfare. (2) Corporate social responsibility is conducive to improving the level of social welfare, not conducive to the increase of corporate profits. (3) When the reward and punishment intensity is small, the reward-penalty policy cannot effectively motivate the firm to assume social responsibility. Only when the reward and punishment reaches a certain level, the mechanism can have an incentive effect on the firm, and the government can actively implement the mechanism. (4) When the market scale is small, the adoption of end-of-pipe pollution control technology is more beneficial to the firm; When the market scale is large, it is beneficial for the firm to adopt clean technology. (5) If the efficiency of end-of-pipe pollution control and emission reduction is much higher than that of clean process, the firm should choose end-of-pipe pollution control technology, otherwise choose clean process.
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spelling pubmed-103356862023-07-12 Decision models of emission reduction considering CSR under reward-penalty policy Wang, Yang Chen, Xiuling Zhou, Xideng PLoS One Research Article For the two emission reduction technologies of clean process (CT Mode) and end-of-pipe pollution control technology (ET Mode), this paper constructs production and low-carbon R&D decision-making models considering consumers’ green preference, and discusses the impact of social responsibility on firm’s decision-making, profit and social welfare. Then, the difference of optimal decision, profit and social welfare is analyzed when the firm adopt two emission reduction technologies with or without reward-penalty policy. The main conclusions of this paper are as follows: (1) Whether using clean process technology or end-of-pipe pollution control technology, consumers’ green preference behavior can increase corporate profit. When consumers’ green preference is small, consumers’ green preference is negatively correlated with social welfare. When consumers’ green preference is large, consumers’ green preference is positively correlated with social welfare. (2) Corporate social responsibility is conducive to improving the level of social welfare, not conducive to the increase of corporate profits. (3) When the reward and punishment intensity is small, the reward-penalty policy cannot effectively motivate the firm to assume social responsibility. Only when the reward and punishment reaches a certain level, the mechanism can have an incentive effect on the firm, and the government can actively implement the mechanism. (4) When the market scale is small, the adoption of end-of-pipe pollution control technology is more beneficial to the firm; When the market scale is large, it is beneficial for the firm to adopt clean technology. (5) If the efficiency of end-of-pipe pollution control and emission reduction is much higher than that of clean process, the firm should choose end-of-pipe pollution control technology, otherwise choose clean process. Public Library of Science 2023-07-11 /pmc/articles/PMC10335686/ /pubmed/37432959 http://dx.doi.org/10.1371/journal.pone.0285895 Text en © 2023 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Yang
Chen, Xiuling
Zhou, Xideng
Decision models of emission reduction considering CSR under reward-penalty policy
title Decision models of emission reduction considering CSR under reward-penalty policy
title_full Decision models of emission reduction considering CSR under reward-penalty policy
title_fullStr Decision models of emission reduction considering CSR under reward-penalty policy
title_full_unstemmed Decision models of emission reduction considering CSR under reward-penalty policy
title_short Decision models of emission reduction considering CSR under reward-penalty policy
title_sort decision models of emission reduction considering csr under reward-penalty policy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335686/
https://www.ncbi.nlm.nih.gov/pubmed/37432959
http://dx.doi.org/10.1371/journal.pone.0285895
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