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中国管理科学 ›› 2017, Vol. 25 ›› Issue (9): 178-187.doi: 10.16381/j.cnki.issn1003-207x.2017.09.020

• 论文 • 上一篇    下一篇

碳排放政策不同和碳敏感度差异对于供应链的影响研究

刘超, 慕静   

  1. 天津科技大学经济与管理学院, 天津 300222
  • 收稿日期:2015-10-04 修回日期:2017-03-08 出版日期:2017-09-20 发布日期:2017-11-24
  • 作者简介:刘超(1971-),男(汉族),天津市人,天津科技大学经济与管理学院副教授,研究方向:供应链管理,E-mail:liuchao@tust.edu.cn.
  • 基金资助:

    国家自然科学基金资助项目(71071111);教育部人文社会科学研究青年基金项目(14YJC630193);天津市科技发展战略计划项目(16ZLZDZF00160)

The Research of Influence of Different Carbon Abatement Policies and Carbon Sensitivity Over the Supply Chain

LIU Chao, MU Jing   

  1. School of Economics and Management, Tianjin University of Science and Technology, Tianjin 300222, China
  • Received:2015-10-04 Revised:2017-03-08 Online:2017-09-20 Published:2017-11-24

摘要: 为了研究历史法和标杆法两种碳排放政策对于供应链决策的影响,根据政策作用节点的差异性,以及市场需求的碳敏感度的差异性,分别建立了四种不同类型的低碳供应链模型。研究发现:当满足一定条件时,采用标杆法求解得到的订货量和减排量均大于采用历史法时的最优值。在这些条件中,主要的影响因素是:技术改进成本系数、需求的碳减排敏感系数、单位碳交易价格和市场随机因素。并且当政策的作用节点不同时,需要满足的条件亦不同。最后,通过数值模拟分析,进一步印证了文章中的结论。

关键词: 低碳供应链, 报童模型, 需求的碳敏感性, 碳排放政策

Abstract: In recent years, the carbon emission coupled with production systems has been gaining more attention from both industrial practitioners and academic scholars. To curb carbon emission, cap-and-trade scheme is often utilized by government as a cost effective mechanism to reduce carbon emission without sacrificing economic robustness. In order to calculate free carbon permits, two types of historical-based methods are often adopted, i.e. grand-fathering and benchmarking. The grand-fathering approach is used to allocate the free carbon allowance (cap) according to historical total emission volume on a yearly basis. In contrast, the benchmarking approach cap is calculated on the basis of industrial best-practice carbon emission per production unit. In this paper, a two-echelon supply chain consisting of a dominant supplier and a manufacturer where they run a Stackelburg game is investigated. Then the impact of the two approaches upon production decisions such as optimal order and production quantity, per unit volume of carbon emission abatement (PCEA) and wholesale price is analyzed. Taking carbon conscious factor of market demand into consideration, news vendor models in four scenarios in which the cap-and-trade policy affects the upstream or downstream players respectively are solved. The results show that the benchmarking approach, although is intuitively viewed as a more rigorous method in terms of environmental constraint, encourages the downstream player to improve order quantity, i.e. the optimal order quantity is bigger by the constraint of benchmarking method. Meanwhile, the PCEA is higher under benchmarking approach than it is under grand-fathering method, therefore the total volume of carbon emission abatement is higher under benchmarking scheme. In addition, it is suggested that the downstream player will increase order quantity under benchmarking scheme regardless of the supply chain's node being affected by the cap-and-trade policy. When the market demand is carbon conscious, i.e. linearly related to PCEA, the downstream player's order quantity will depend on PCEA even without the constraint of cap-and-trade. Finally, managerial insights are obtained, which include (1) the government use benchmarking approach to allocate cap is a better choice in terms of improving the total carbon emission abatement volume; (2) the benchmarking approach is not always effective under some circumstances where it is affected by carbon trade price, carbon technical coefficient and stochastic factors etc.

Key words: low-carbon supply chain, news-vendor model, market demand of carbon sensitivity, carbon control policy

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