利益相关者行为对供应链碳减排的影响

J. Su, Y. Pan
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Among them, the carbon cap-and-trade policy, as a market-based policy, has the most significant effect[1]. Many scholars have studied supply chain operation under a carbon cap-and-trade policy. Drake et al. (2016) investigated the influence of government behavior on supply chain operation problems where the firm makes the decision regarding the technology and production capacity. They found that, under the cap-and-trade policy, the expected profits of enterprise are greater, and the expected emissions of product are lower[2]. On this basis, Lin et al. (2018) studied production and technology choices under government emission regulation. They found that firms may produce more even though they do not use more green technology under a more stringent regulation (fewer allowances)[3]. Kartick et al. (2018) discussed the joint impact of manufacturer’s behavior and retailer’s behavior in two-period supply chain frameworks. They found that procurement decision of retailer is a key factor in green supply chain[4]. Chen et al. (2017) used a random auction experiment and a questionnaire to examine consumers behavior. They found that how consumers’ willingness to pay is influenced by carbon labels[5]. Going step further, Wang et al. (2016) focused on dyadic supply chain carbon emission reduction issues in an environment where consumers were assumed to be environmentally aware. They found that the cost-sharing contract can achieve the goal of reducing carbon emissions[6]. In the existing literature, the study of the carbon emission reduction decision in the supply chain often involves the behavior of two or three players. In reality, the enterprises in supply chain, as well as the external government and consumers, influence the carbon emission reduction decision. In this paper, we consider the behavior of four players at the same time, which makes the model more similar to the actual situation, and the conclusion is more valuable. Model Description, Assumptions and Notations The manufacturer sells products through an independent retailer in a ‘low-carbon’ sensitive market. The manufacturer is subjected to carbon cap-and-trade policy. The manufacturer should buy carbon allowances to offset the quota gap from the carbon market if their emission volume is larger than the allowance allocated by the government. In contrast, the manufacturer can sell its surplus quotas. In supply chain, any player can influence the total carbon emission reduction level (TCRL) of the supply chain by affecting the level of carbon emission reduction of the unit product and product quantity. The manufacturer’s low-carbon behavior is mainly reflected in investment in carbon R&D. 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Among them, the carbon cap-and-trade policy, as a market-based policy, has the most significant effect[1]. Many scholars have studied supply chain operation under a carbon cap-and-trade policy. Drake et al. (2016) investigated the influence of government behavior on supply chain operation problems where the firm makes the decision regarding the technology and production capacity. They found that, under the cap-and-trade policy, the expected profits of enterprise are greater, and the expected emissions of product are lower[2]. On this basis, Lin et al. (2018) studied production and technology choices under government emission regulation. They found that firms may produce more even though they do not use more green technology under a more stringent regulation (fewer allowances)[3]. Kartick et al. (2018) discussed the joint impact of manufacturer’s behavior and retailer’s behavior in two-period supply chain frameworks. They found that procurement decision of retailer is a key factor in green supply chain[4]. Chen et al. (2017) used a random auction experiment and a questionnaire to examine consumers behavior. They found that how consumers’ willingness to pay is influenced by carbon labels[5]. Going step further, Wang et al. (2016) focused on dyadic supply chain carbon emission reduction issues in an environment where consumers were assumed to be environmentally aware. They found that the cost-sharing contract can achieve the goal of reducing carbon emissions[6]. In the existing literature, the study of the carbon emission reduction decision in the supply chain often involves the behavior of two or three players. In reality, the enterprises in supply chain, as well as the external government and consumers, influence the carbon emission reduction decision. In this paper, we consider the behavior of four players at the same time, which makes the model more similar to the actual situation, and the conclusion is more valuable. Model Description, Assumptions and Notations The manufacturer sells products through an independent retailer in a ‘low-carbon’ sensitive market. The manufacturer is subjected to carbon cap-and-trade policy. The manufacturer should buy carbon allowances to offset the quota gap from the carbon market if their emission volume is larger than the allowance allocated by the government. In contrast, the manufacturer can sell its surplus quotas. In supply chain, any player can influence the total carbon emission reduction level (TCRL) of the supply chain by affecting the level of carbon emission reduction of the unit product and product quantity. The manufacturer’s low-carbon behavior is mainly reflected in investment in carbon R&D. 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引用次数: 3

摘要

在由制造商和零售商组成的两级供应链中,建立了制造商投入研发进行碳减排、零售商分担研发成本、政府实施碳限额与交易政策、消费者具有低碳偏好的情景下的碳减排模型。本研究比较了最优利润、供应链总碳减排水平(TCRL)和产品销量,探讨了利益相关者行为对供应链碳减排的影响。在21世纪,一系列的环境问题日益突出。为了控制经济活动对气候和环境的负面影响,世界各国政府正在探索有效的科学政策、法规和措施。其中,碳限额与交易政策作为一项市场化政策,效果最为显著[1]。许多学者研究了碳排放限额与交易政策下的供应链运作。Drake et al.(2016)研究了政府行为对供应链运营问题的影响,其中企业对技术和生产能力做出决策。他们发现,在限额与交易政策下,企业的预期利润更大,产品的预期排放量更低[2]。在此基础上,Lin et al.(2018)研究了政府排放监管下的生产和技术选择。他们发现,即使在更严格的监管(更少的配额)下,企业不使用更多的绿色技术,也可能生产更多的产品[3]。Kartick等人(2018)讨论了两期供应链框架下制造商行为和零售商行为的共同影响。他们发现零售商的采购决策是绿色供应链中的关键因素[4]。Chen et al.(2017)采用随机拍卖实验和问卷调查来检验消费者行为。他们发现消费者的支付意愿受到碳标签的影响[5]。Wang等人(2016)进一步研究了假设消费者具有环保意识的环境下二元供应链碳减排问题。他们发现成本分担契约可以达到减少碳排放的目标[6]。在现有文献中,对供应链碳减排决策的研究往往涉及两个或三个参与者的行为。在现实中,供应链上的企业以及外部政府和消费者都会影响碳减排决策。在本文中,我们同时考虑了四个参与者的行为,使得模型更接近实际情况,结论也更有价值。模型描述、假设和注释制造商在“低碳”敏感市场中通过独立零售商销售产品。制造商受制于碳排放限额与交易政策。如果制造商的排放量大于政府分配的配额,则应购买碳配额,以弥补碳市场上的配额缺口。相比之下,制造商可以出售其剩余配额。在供应链中,任何参与者都可以通过影响单位产品的碳减排水平和产品数量来影响供应链的总碳减排水平(TCRL)。制造商的低碳行为主要体现在碳研发的投入上。这家零售商的低碳行为主要体现在向制造商承诺分享一场国际高级教育、管理与人文会议(AEMH 2019)版权所有©2019,作者。亚特兰蒂斯出版社出版。这是一篇基于CC BY-NC许可(http://creativecommons.org/licenses/by-nc/4.0/)的开放获取文章。社会科学、教育和人文研究进展,第352卷
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Stakeholder Behavior on the Carbon Emission Reduction in Supply Chain
In a two-echelon supply chain consisting of a manufacturer and a retailer, the carbon emission reduction model is established for the scenario where manufacturer invests R&D for carbon emission reduction, retailer shares R&D cost, government implements carbon cap-and-trade policy, and consumers have a low-carbon-preference. This research compares the optimal profits, the total carbon emission reduction level (TCRL) in supply chain and product sales volume, and discusses the impact of stakeholder behavior on carbon emission reduction in supply chain. Introduction In the 21st century, a series of environmental problems have become increasingly prominent. To control the negative impact of economic activity on the climate and environment, governments around the world are exploring effective scientific policies, regulations and measures. Among them, the carbon cap-and-trade policy, as a market-based policy, has the most significant effect[1]. Many scholars have studied supply chain operation under a carbon cap-and-trade policy. Drake et al. (2016) investigated the influence of government behavior on supply chain operation problems where the firm makes the decision regarding the technology and production capacity. They found that, under the cap-and-trade policy, the expected profits of enterprise are greater, and the expected emissions of product are lower[2]. On this basis, Lin et al. (2018) studied production and technology choices under government emission regulation. They found that firms may produce more even though they do not use more green technology under a more stringent regulation (fewer allowances)[3]. Kartick et al. (2018) discussed the joint impact of manufacturer’s behavior and retailer’s behavior in two-period supply chain frameworks. They found that procurement decision of retailer is a key factor in green supply chain[4]. Chen et al. (2017) used a random auction experiment and a questionnaire to examine consumers behavior. They found that how consumers’ willingness to pay is influenced by carbon labels[5]. Going step further, Wang et al. (2016) focused on dyadic supply chain carbon emission reduction issues in an environment where consumers were assumed to be environmentally aware. They found that the cost-sharing contract can achieve the goal of reducing carbon emissions[6]. In the existing literature, the study of the carbon emission reduction decision in the supply chain often involves the behavior of two or three players. In reality, the enterprises in supply chain, as well as the external government and consumers, influence the carbon emission reduction decision. In this paper, we consider the behavior of four players at the same time, which makes the model more similar to the actual situation, and the conclusion is more valuable. Model Description, Assumptions and Notations The manufacturer sells products through an independent retailer in a ‘low-carbon’ sensitive market. The manufacturer is subjected to carbon cap-and-trade policy. The manufacturer should buy carbon allowances to offset the quota gap from the carbon market if their emission volume is larger than the allowance allocated by the government. In contrast, the manufacturer can sell its surplus quotas. In supply chain, any player can influence the total carbon emission reduction level (TCRL) of the supply chain by affecting the level of carbon emission reduction of the unit product and product quantity. The manufacturer’s low-carbon behavior is mainly reflected in investment in carbon R&D. The retailer’s low-carbon behavior is mainly reflected in a promise to the manufacturer to share a International Conference on Advanced Education, Management and Humanities (AEMH 2019) Copyright © 2019, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Social Science, Education and Humanities Research, volume 352
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