Manufacture’s Optimal Pricing Policy and Retailer’s Optimal Ordering Policy Under Different Carbon Emission Policies

Yi ZHENG, Xue YANG, Zhimin WANG

Abstract


The implementation of carbon reduction policy is an important method for the firms to reduce carbon emissions. So it is of great significance to research on the firms’s trategies under different carbon reduction policies. In this paper, we study the manufacturer’s wholesale price strategy and the retailer’s ordering strategy, as well as carbon emissions policy’s impact on the production and profit, under mandatory carbon emissions capacity policy, carbon emissions tax policy and cap-and-trade policy respectively. In addition, the government’s decision-making about carbon emissions policy parameters is also discussed. The conclusion builds a microeconomic foundation for the carbon emissions policy’s design and development, and also verified the policy’s effectiveness and scientificity, at last achieved the “win-win” ofthe government and enterprises.


Keywords


Pricing; Ordering; Carbon emission policies

Full Text:

PDF

References


[1] Benjaafar, S., Li, Y., & Daskin, M. (2013). Carbon footprint and the management of supply chains: Insights from simple models. IEEE Transactions on Automation Science and Engineering, 10(1), 99-116.

[2] Du, S., Ma, F., Fu Z., Zhu L., & Zhang, J. (2011). Game-theoretic analysis for an emission-dependent supply Chain in a ‘cap-and-trade’ System. Annals of Operations Research. doi: 10.1007/s10479-011-0964-6

[3] Lin, Z. G., Anderson, T. D., & Cruz, J. M. (2012). Consumer environmental awareness and competiton in two-stage supply chains. European Journal of Operations Research, 218(3), 602-613.

[4] Song, J., & Leng, M. (2012). Analysis of the single-period problem under carbon emissions policies. Handbook of newsvendor problems: International series in operations research & management science (pp.297-313). New York: Springer.

[5] Vipul, A., & Sridha, R. S. (2000). Impact of uncertainty and risk aversion on price and order quantity in the nessvendor problem. Manufaturing & Service Operations Management, 2(4), 410-423.




DOI: http://dx.doi.org/10.3968/5165

DOI (PDF): http://dx.doi.org/10.3968/pdf_4

Refbacks

  • There are currently no refbacks.


Copyright (c)




Share us to:   


Reminder

If you have already registered in Journal A and plan to submit article(s) to Journal B, please click the "CATEGORIES", or "JOURNALS A-Z" on the right side of the "HOME".


We only use the follwoing mailboxes to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
pam@cscanada.org
pam@cscanada.net

 Articles published in Progress in Applied Mathematics are licensed under Creative Commons Attribution 4.0 (CC-BY).

 ROGRESS IN APPLIED MATHEMATICS Editorial Office

Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net
Http://www.cscanada.org
E-mail:office@cscanada.net office@cscanada.org caooc@hotmail.com

Copyright © 2010 Canadian Research & Development Center of Sciences and Cultures