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首页> 外文期刊>Asia-Pacific Journal of Operational Research >Contracting Emissions Reduction Supply Chain Based on Market Low-Carbon Preference and Carbon Intensity Constraint
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Contracting Emissions Reduction Supply Chain Based on Market Low-Carbon Preference and Carbon Intensity Constraint

机译:基于市场低碳偏好和碳强制约束的基于市场的减排供应链

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摘要

Carbon emissions reduction has become a frequently discussed topic in industry and academia. However, how can reduction effects be enhanced with dominant brand and downstream manufacturer? This paper incorporates emissions reduction into a green supply chain which considers consumers' low-carbon preference behavior and government intensity regulations, in order to discuss the impacts of consumers' environmental awareness and government constraints on optimal emissions reduction and profit, respectively. The paper first constructs three reduction models on the basis of reality: independent reduction by manufacturer, contractual reduction by brand and collaborative reduction by both. Then it concludes the optimal decisions and compare the models. The results show that both the profits and emissions reduction will be decreased with the strengthened carbon intensity constraint, but the cost-sharing contract can mitigate this negative effect on dominant brand and society. Meanwhile, the acceptable range of cost-sharing ratio will be smaller with a lower cost coefficient of emissions reduction and a higher consumers' preference. Furthermore, government should design the incentive method or regulate the carbon market to improve the social welfare level. Lastly, a numerical study is conducted, the impact of several key factors on supply chain performance and model selection are presented for management decisions.
机译:碳排放减少已成为工业和学术界的经常讨论的话题。但是,如何通过主导品牌和下游制造商加强减少效果?本文将排放融入了一种绿色供应链,以消费者的低碳偏好行为和政府强度法规,以分别讨论消费者环境意识和政府限制分别对最佳排放和利润的影响。本文首先在现实的基础上构建三种减少模型:制造商独立减少,品牌的合同减少以及两者的合作减少。然后它结束了最佳决策并比较模型。结果表明,随着加强的碳强制约束,利润和排放都将减少,但成本分摊合同可以减轻这种对主导品牌和社会的负面影响。同时,可接受的成本共享比范围将较低,成本减少成本较低,消费者偏好更高。此外,政府应设计激励方法或规范碳市场以改善社会福利水平。最后,进行了数值研究,介绍了若干关键因素对供应链绩效和模型选择的影响,以获得管理决策。

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