装配供应链决策:混合碳政策下制造商的减排策略

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Haodong Chen , Shuo Wang , Chenliang Zhu , Quanwei Ren , Zewei Long
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引用次数: 0

摘要

对环境可持续性的日益关注迫使组装供应链中的企业在成本效率与有效的碳减排之间取得平衡。本研究探讨在混合碳政策制度下,制造商为实现预期收益最大化所采取的最优减排策略。通过构建包括制造商、装配商和消费者在内的四种情景的决策模型,分析了消费者对低碳产品的需求、碳定价、税率和减排研发相关成本的影响。结果表明,在基线条件下,集中式决策比分散式决策产生更好的绩效。此外,这两种决策框架都表明,当联合研发的单位成本低于临界阈值时,合作减排努力的效果优于单独的举措。最后,虽然更高的碳交易价格和碳税率会激励更大的减排努力,但征收碳税可能会对经济绩效产生不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assembly supply chain decision-making: Manufacturers' emission reduction strategies under mixed carbon policies
The growing concerns over environmental sustainability have compelled, firms within assembly supply chains to balance cost efficiency with effective carbon emission mitigation. This study examines the optimal emission reduction strategies that manufacturers adopt under a mixed carbon policy regime to maximize their expected returns. By constructing a decision-making model encompassing four scenarios involving manufacturers, assemblers, and consumers, we analyze the influence of consumer demand for low-carbon products, carbon pricing, tax rates, and the costs associated with emission reduction R&D. The results indicate that centralized decision-making yields superior performance relative to decentralized approaches under baseline conditions. Moreover, both decision frameworks reveal that collaborative emission reduction efforts outperform isolated initiatives when the unit cost of joint R&D remains below a critical threshold. Finally, while higher carbon trading prices and carbon tax rates incentivize greater emission reduction efforts, the imposition of carbon taxes may adversely affect economic performance.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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