IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v159y2015icp274-284.html
   My bibliography  Save this article

A newsvendor approach to compliance and production under cap and trade emissions regulation

Author

Listed:
  • Manikas, Andrew S.
  • Kroes, James R.

Abstract

Since the 1990s, governmental agencies have increasingly turned to market based cap and trade programs to control the emission of pollutants. Firms subject to cap and trade regulation are typically required to acquire emissions allowances via open auction markets. The cost to acquire allowances may impose a substantial financial burden on a firm. While emissions reduction efforts may eliminate some firm’s need to acquire additional allowances, there are still numerous firms that need to purchase additional allowances on the open market. This study presents a new forward buying heuristic, designed for those firms that need to purchase emissions allowances via auctions, which reduces the impact of emissions allowance acquisitions on the firms’ financial performance. The heuristic, designated as the Newsvendor Production Planning with Emissions Allowance Forward Buying (NPPAFB) method, applies a forward buying algorithm to determine the number of periods for which to forward buy allowances, the current production order up to level, and the current and future emissions allowance requirements (which serves as the order up to level for allowance purchases). Additionally, NPPAFB also authorizes unused emissions allowances to be sold when market conditions are favorable. Compared against three existing production planning and allowance procurement strategies, a simulation exercise finds that the NPPAFB method significantly reduces a firm’s emissions allowance expenditures. These results indicate that heuristic can be readily adopted by any firm that is required to procure emissions allowances via open markets in an effort to improve the firm’s profitability.

Suggested Citation

  • Manikas, Andrew S. & Kroes, James R., 2015. "A newsvendor approach to compliance and production under cap and trade emissions regulation," International Journal of Production Economics, Elsevier, vol. 159(C), pages 274-284.
  • Handle: RePEc:eee:proeco:v:159:y:2015:i:c:p:274-284
    DOI: 10.1016/j.ijpe.2014.09.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527314002886
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2014.09.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Matthew Ranson & Robert N. Stavins, 2012. "Post-Durban Climate Policy Architecture Based on Linkage of Cap-and-Trade Systems," NBER Working Papers 18140, National Bureau of Economic Research, Inc.
    2. Magirou, Vangelis F., 1982. "Stockpiling under price uncertainty and storage capacity constraints," European Journal of Operational Research, Elsevier, vol. 11(3), pages 233-246, November.
    3. Shenle Pan & Eric Ballot & Frédéric Fontane, 2013. "The reduction of greenhouse gas emissions from freight transport by pooling supply chains," Post-Print hal-00733678, HAL.
    4. Rosič, Heidrun & Jammernegg, Werner, 2013. "The economic and environmental performance of dual sourcing: A newsvendor approach," International Journal of Production Economics, Elsevier, vol. 143(1), pages 109-119.
    5. Kamal Golabi, 1985. "Optimal Inventory Policies When Ordering Prices are Random," Operations Research, INFORMS, vol. 33(3), pages 575-588, June.
    6. Gunasekaran, Angappa & Spalanzani, Alain, 2012. "Sustainability of manufacturing and services: Investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 140(1), pages 35-47.
    7. Gavirneni, Srinagesh & Morton, Thomas E., 1999. "Inventory control under speculation: Myopic heuristics and exact procedures," European Journal of Operational Research, Elsevier, vol. 117(2), pages 211-221, September.
    8. Zhang, Bin & Xu, Liang, 2013. "Multi-item production planning with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 144(1), pages 118-127.
    9. James Kroes & Ravi Subramanian & Ramanath Subramanyam, 2012. "Operational Compliance Levers, Environmental Performance, and Firm Performance Under Cap and Trade Regulation," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 186-201, April.
    10. Pan, Shenle & Ballot, Eric & Fontane, Frédéric, 2013. "The reduction of greenhouse gas emissions from freight transport by pooling supply chains," International Journal of Production Economics, Elsevier, vol. 143(1), pages 86-94.
    11. Chaabane, A. & Ramudhin, A. & Paquet, M., 2012. "Design of sustainable supply chains under the emission trading scheme," International Journal of Production Economics, Elsevier, vol. 135(1), pages 37-49.
    12. Manikas, Andrew & Chang, Yih-Long & Ferguson, Mark, 2009. "BlueLinx can benefit from innovative inventory management methods for commodity forward buys," Omega, Elsevier, vol. 37(3), pages 545-554, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Song, Shuang & Govindan, Kannan & Xu, Lei & Du, Peng & Qiao, Xiaojiao, 2017. "Capacity and production planning with carbon emission constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 132-150.
    2. Yenny Naranjo Tuesta & Cristina Crespo Soler & Vicente Ripoll Feliu, 2021. "Carbon management accounting and financial performance: Evidence from the European Union emission trading system," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1270-1282, February.
    3. Jung, Jihyeok & Moon, Saedaseul & Yeo, Sangmin & Lee, Deok-Joo, 2023. "How would the carbon market affect the choice of input factors for production? A duopolistic model," Energy, Elsevier, vol. 282(C).
    4. Yang, Lei & Hu, Yijuan & Huang, Lijuan, 2020. "Collecting mode selection in a remanufacturing supply chain under cap-and-trade regulation," European Journal of Operational Research, Elsevier, vol. 287(2), pages 480-496.
    5. Tajbakhsh, Alireza & Hassini, Elkafi, 2022. "A game-theoretic approach for pollution control initiatives," International Journal of Production Economics, Elsevier, vol. 254(C).
    6. Hong, Zhaofu & Chu, Chengbin & Zhang, Linda L. & Yu, Yugang, 2017. "Optimizing an emission trading scheme for local governments: A Stackelberg game model and hybrid algorithm," International Journal of Production Economics, Elsevier, vol. 193(C), pages 172-182.
    7. Yanfen Mu & Feng Niu, 2022. "To Be or Not to Be? Strategic Analysis of Carbon Tax Guiding Manufacturers to Choose Low-Carbon Technology," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    8. Faqi Xie & Yushuang Deng & Huiru Chen, 2023. "Pricing and Quantity Decisions under Asymmetric Carbon Emission Reduction Information and Cap-and-Trade Mechanism," IJERPH, MDPI, vol. 20(3), pages 1-27, January.
    9. Yumihito Otsubo & Andrew J. Chapman, 2023. "Assessing Corporate Vendor Selection in the Oil and Gas Industry: A Review of Green Strategies and Carbon Reduction Options," Sustainability, MDPI, vol. 15(23), pages 1-18, November.
    10. Bai, Qingguo & Xu, Jianteng & Gong, Yeming & Chauhan, Satyaveer S., 2022. "Robust decisions for regulated sustainable manufacturing with partial demand information: Mandatory emission capacity versus emission tax," European Journal of Operational Research, Elsevier, vol. 298(3), pages 874-893.
    11. Qingguo Bai & Jianteng Xu & Yuzhong Zhang, 2022. "The distributionally robust optimization model for a remanufacturing system under cap-and-trade policy: a newsvendor approach," Annals of Operations Research, Springer, vol. 309(2), pages 731-760, February.
    12. Liangjie Xia & Tingting Guo & Juanjuan Qin & Xiaohang Yue & Ning Zhu, 2018. "Carbon emission reduction and pricing policies of a supply chain considering reciprocal preferences in cap-and-trade system," Annals of Operations Research, Springer, vol. 268(1), pages 149-175, September.
    13. Chai, Qiangfei & Xiao, Zhongdong & Lai, Kee-hung & Zhou, Guanghui, 2018. "Can carbon cap and trade mechanism be beneficial for remanufacturing?," International Journal of Production Economics, Elsevier, vol. 203(C), pages 311-321.
    14. Pazoki, Mostafa & Samarghandi, Hamed, 2020. "Take-back regulation: Remanufacturing or Eco-design?," International Journal of Production Economics, Elsevier, vol. 227(C).
    15. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Palak, Gökçe & Ekşioğlu, Sandra Duni & Geunes, Joseph, 2014. "Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 198-216.
    2. Meng, Xiaoge & Yao, Zhong & Nie, Jiajia & Zhao, Yingxue & Li, Zenglu, 2018. "Low-carbon product selection with carbon tax and competition: Effects of the power structure," International Journal of Production Economics, Elsevier, vol. 200(C), pages 224-230.
    3. Yi Zheng & Huchang Liao & Xue Yang, 2016. "Stochastic Pricing and Order Model with Transportation Mode Selection for Low-Carbon Retailers," Sustainability, MDPI, vol. 8(1), pages 1-19, January.
    4. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
    5. Bouchery, Yann & Ghaffari, Asma & Jemai, Zied & Tan, Tarkan, 2017. "Impact of coordination on costs and carbon emissions for a two-echelon serial economic order quantity problem," European Journal of Operational Research, Elsevier, vol. 260(2), pages 520-533.
    6. Fahimnia, Behnam & Sarkis, Joseph & Eshragh, Ali, 2015. "A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis," Omega, Elsevier, vol. 54(C), pages 173-190.
    7. Manikas, Andrew & Chang, Yih-Long & Ferguson, Mark, 2009. "BlueLinx can benefit from innovative inventory management methods for commodity forward buys," Omega, Elsevier, vol. 37(3), pages 545-554, June.
    8. Yann Bouchery & Asma Ghaffari & Zied Jemai & Jan Fransoo, 2016. "Sustainable transportation and order quantity: insights from multiobjective optimization," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 367-396, September.
    9. Shaojian Qu & Guoqing Jiang & Ying Ji & Guangming Zhang & Nabe Mohamed, 2021. "Newsvendor’s optimal decisions under stochastic demand and cap-and-trade regulation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17764-17787, December.
    10. Jaehyung An & Jinho Lee, 2018. "A Newsvendor Non-Cooperative Game for Efficient Allocation of Carbon Emissions," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    11. Y Bouchery & Asma Ghaffari & Zied Jemai & Jan C Fransoo, 2016. "Sustainable transportation and order quantity: insights from multiobjective optimization," Post-Print hal-01954465, HAL.
    12. Thomas Hacardiaux & Jean-Sébastien Tancrez, 2020. "Assessing the environmental benefits of horizontal cooperation using a location-inventory model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1363-1387, December.
    13. Bozorgi, Ali & Pazour, Jennifer & Nazzal, Dima, 2014. "A new inventory model for cold items that considers costs and emissions," International Journal of Production Economics, Elsevier, vol. 155(C), pages 114-125.
    14. Shuihua Han & Yue Jiang & Ling Zhao & Stephen C. H. Leung & Zongwei Luo, 2020. "Weight reduction technology and supply chain network design under carbon emission restriction," Annals of Operations Research, Springer, vol. 290(1), pages 567-590, July.
    15. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    16. Bozorgi, Ali, 2016. "Multi-product inventory model for cold items with cost and emission consideration," International Journal of Production Economics, Elsevier, vol. 176(C), pages 123-142.
    17. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    18. Magirou, Evangelos F. & Psaraftis, Harilaos N. & Bouritas, Theodore, 2015. "The economic speed of an oceangoing vessel in a dynamic setting," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 48-67.
    19. Ji, Guojun & Gunasekaran, Angappa & Yang, Guangyong, 2014. "Constructing sustainable supply chain under double environmental medium regulations," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 211-219.
    20. Cao, Erbao & Du, Lingxia & Ruan, Junhu, 2019. "Financing preferences and performance for an emission-dependent supply chain: Supplier vs. bank," International Journal of Production Economics, Elsevier, vol. 208(C), pages 383-399.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:159:y:2015:i:c:p:274-284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.