Abstract
The issue of low carbon emission reduction is getting more and more attention. This paper focuses on analyzing the equilibriums and digging deep into the impacts of cap-and-trade regulation, joint emission abatement scheme, and online direct channel on the performances of supply chain. By constructing two decentralized models in the single/joint emission abatement schemes under cap-and-trade regulation in a dual-channel supply chain, we find that consumer’s environmental preference effectually motivates both the manufacturer and retailer to reduce emissions with joint emission abatement scheme. The analysis results show that introducing an online channel is always good for improving enterprises’ profits, as well as protecting the environment in the joint emission abatement. Besides, the retailer should provide consumers with better service in the retail channel, which can further promote purchase power and drive the sustainable development of the supply chain. The manufacturer, when consumers have strong environmental preferences, should actively participate in cap-and-trade mechanism no matter single or joint emission abatement scheme is enforced.
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References
Alireza G, Reza D (2018) Coordination policy for production and delivery scheduling in the closed loop supply chain[J]. Prod Eng 1–11
Aslani A, Heydari J (2019) Transshipment contract for coordination of a green dual-channel supply chain under channel disruption. J Clean Prod 223:596–609
Cachon GP (2014) Retail store density and the cost of greenhouse gas emissions. Manage Sci 60(8):1907–1925
Chen J, Liang L, Dong QY, Sun S (2016) Price and quality decisions in dual-channel supply chains. Eur J Oper Res 259(1–2):29–32
Chen TH (2015) Effects of the pricing and cooperative advertising policies in a two-echelon dual-channel supply chain. Comput Ind Eng 87(sep):250–259
Dan B, Liu C, Xu G, Zhang X (2014) Pareto improvement strategy for service-based free-riding in a dual-channel supply chain. Asia-Pacific J Oper Res 31(6):339–340
Du S, Ma F, Fu Z, Zhu L, Zhang J (2015) Game-theoretic analysis for an emission-dependent supply chain in a “cap-and-trade” system. Ann Oper Res 228(1):135–149
Dumrongsiri A, Fan M, Jain A, Moinzadeh K (2008) A supply chain model with direct and retail channels. Eur J Oper Res 187(3):691–718
Fathollahi-Fard AM, Dulebenets MA, Hajiaghaei-Keshteli M, Tavakkoli-Moghaddam R, Safaeian M, Mirzahosseinian H (2021) Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty. Adv Eng Inform 50:101418
Gong XM, Yang M, Du PL (2021) Renewable energy accommodation potential evaluation of distribution network: a hybrid decision-making framework under interval type-2 fuzzy environment. J Clean Prod 286. https://doi.org/10.1016/j.jclepro.2020.124918
Govindan K, Sivakumar R (2016) Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Ann Oper Res 238:243–276
Haque M, Paul SK, Sarker R, Essam D (2021) A combined approach for modeling multi-echelon multi-period decentralized supply chain. Ann Oper Res. https://doi.org/10.1007/s10479-021-04121-0
He R, Xiong Y, Lin Z (2016) Carbon emissions in a dual channel closed loop supply chain: the impact of consumer free riding behavior. J Clean Prod 134:384–394
Heydari J, Govindan K, Aslani A (2019) Pricing and greening decisions in a three-tier dual channel supply chain. Int J Prod Econ 217(Nov.):185–196
Jessica Y (2019) U.S. e-commerce sales grow 14.9% in 2019. From https://www.digitalcommerce360.com/article/us-ecommerce-sales/, 19 Feb, 2020.
Jing C, Hui Z, Ying S (2012) Implementing coordination contracts in a manufacturer Stackelberg dual-channel supply chain. Omega 40(5):571–583
Kannan D (2017) Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. Int J Prod Econ 195(Jan.):391–418
Li B, Hou PW, Chen P, Li QH (2016) Pricing strategy and coordination in a dual channel supply chain with a risk-averse retailer. Int J Prod Econ 178(Aug.):154–168
Li QH, Li B (2016) Dual-channel supply chain equilibrium problems regarding retail services and fairness concerns. Appl Math Model 40:7349–7367
Liu ZG, Anderson TD, Cruz JM (2012) Consumer environmental awareness and competition in two-stage supply chains. Eur J Oper Res 218:602–613
Matsui K (2017) When should a manufacturer set its direct price and wholesale price in dual-channel supply chains? Eur J Oper Res 258(2):501–511
Modak NM, Kelle P (2019) Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand. Eur J Oper Res 272(1)
Rafigh P, Akbari AA, Bidhandi HM, Kashan AH (2021) A fuzzy rule-based multi-criterion approach for a cooperative green supplier selection problem. Environ Sci Pollut Res 28:14115
Ranjan A, Jha JK (2019) Pricing and coordination strategies of a dual-channel supply chain considering green quality and sales effort. J Clean Prod 218:409–424
Rezaee A, Dehghanian F, Fahimnia B, Beamon B (2017) Green supply chain network design with stochastic demand and carbon price. Ann Oper Res 250(2):463–485
Rodriguez B, Aydin G (2015) Pricing and assortment decisions for a manufacturer selling through dual channels. Eur J Oper Res 242:901–909
Salehi-Amiri A, Zahedi A, Gholian-Jouybari F, Calvo EZR, Hajiaghaei-Keshteli M (2022) Designing a closed-loop supply chain network considering social factors; a case study on avocado industry. Appl Math Model 101:600–631
Su Z, Xu Q, Fei M, Dong M (2016) Game theoretic resource allocation in media cloud with mobile social users. IEEE Trans Multimedia 18:1650–1660
Toptal A, Cetinkaya B (2017) How supply chain coordination affects the environment: a carbon footprint perspective. Ann Oper Res 250(2):487–519
Toptal A, Ozlu H, Konur D (2014) Joint decisions on inventory replenishment and emission reduction investment under different emission regulations. Int J Prod Res 52:243–269
Wang J, Yan YC, Du HB, Zhao RQ (2020) The optimal sales format for green products considering downstream investment. Int J Prod Res 58(4):1107–1126
Wu ZP, Wu JH (2015) Price discount and capacity planning under demand postponement with opaque selling. Decis Support Syst 76:24–34
Xia L, Guo T, Qin J, Yue X, Ning Z (2018) Carbon emission reduction and pricing policies of a supply chain considering reciprocal preferences in cap-and-trade system. Ann Oper Res 268(1):149–175
Xiao Q, Chen L, Xie M, Wang C (2020) Optimal contract design in sustainable supply chain: interactive impacts of fairness concern and overconfidence. J Oper Res Soc
Xiao T, Shi J (2016) Pricing and supply priority in a dual-channel supply chain. Eur J Oper Res 254:813–823
Xing D, Liu T (2012) Sales effort free riding and coordination with price match and channel rebate. Eur J Oper Res 219(2):264–271
Xu J, Chen Y, Bai Q (2016) A two-echelon sustainable supply chain coordination under cap-and-trade regulation. J Clean Prod 135:42–56
Xu L, Wang CX, Zhao JJ (2018) Decision and coordination in the dual-channel supply chain considering cap-and-trade regulation. J Clean Prod 197:551–561
Xu XP, Zhang W, He P, Xu XY (2017) Production and pricing problems in make-to-order supply chain with cap-and-trade regulation. Omega-Int J Manag Sci 66:248–257
Yan B, Chen X, Cai C, Guan S (2020) Supply chain coordination of fresh agricultural products based on consumer behavior. Comput Oper Res 123:105038
Yan B, Wang T, Liu YP, Liu Y (2016) Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting. Int J Prod Econ 178:34–41
Yang JQ, Zhang XM, Fu HY, Liu C (2017) Inventory competition in a dual-channel supply chain with delivery lead time consideration. Appl Math Model 42:675–692
Yang M, Gong XM (2021) Optimal decisions and Pareto improvement for green supply chain considering reciprocity and cost-sharing contract. Environ Sci Pollut Res 28(23):29859–29874
Yang M, Zhang T, Wang CX (2021) The optimal e-commerce sales mode selection and information sharing strategy under demand uncertainty. Comput Ind Eng 162:107718. https://doi.org/10.1016/j.cie.2021.107718
Yu YG, Sun LB, Guo XL (2020) Dual-channel decision in a shopping complex when considering consumer channel preference. J Oper Res Soc 71:1638–1656
Zhou J, Zhao R, Wang W (2019) Pricing decision of a manufacturer in a dual-channel supply chain with asymmetric information. Eur J Oper Res 278:809–820
Zhou YW, Guo J, Zhou W (2018) Pricing/service strategies for a dual-channel supply chain with free riding and service-cost sharing. Int J Prod Econ 196:198–210
Acknowledgements
Here, we give sincere appreciation to the anonymous editors as well as reviewers for the suggestions and comments.
Funding
This work is supported by the National Natural Science Fund of China under Grant No. 61976057; the Natural Science Fund of Shanghai under Grant No. 19ZR1417200; the Shanghai Municipal R&D Foundation under Grant No. 20511101403, No. 20511101203, No. 20511102702, No. 19DZ2205700, and No. 2021SHZDZX0103; and the Humanities and Social Sciences Planning Fund of Ministry of Education of China under Grant No. 19YJA630116. Tao Zhang is the corresponding author. Man Yang is the first author. We would like to thank anonymous referees for their valuable comments and suggestions.
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Man Yang: Conceptualization, methodology, formal analysis, software, validation, writing — original draft, visualization, writing — review and editing, funding acquisition. Tao Zhang: Conceptualization, methodology, formal analysis, validation, data curation, writing — review and editing, project administration. Yuhao Zhang: Conceptualization, data curation, resources, investigation, writing — review and editing, supervision.
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Appendices
Appendix 1
Firstly, we derive the best response retail price for the retailer in Step-2. Then, the manufacturer makes the optimal decisions based on this retail price. With Eq. (4), \({\Pi }_{R}^{COD}\) is concave in \({p}_{r}^{COD}\) given that \(\frac{{\partial }^{2}{\Pi }_{R}^{COD}}{{\partial {p}_{r}^{COD}}^{2}}=-2<0\). Let \(\frac{\partial {\Pi }_{R}^{COD}}{\partial {p}_{r}^{COD}}=0\), we can obtain the best response retail price:
Substituting Eq. (A-1) to Eq. (3) and express manufacturer’s profit by \({p}_{d}^{COD},{ w}^{COD}\), and \({\theta }^{COD}\). Assuming \(e<\frac{2\sqrt{k(3-2\gamma -{\gamma }^{2})}}{3+\gamma }+(\gamma -1){p}_{e}\) to ensure the equilibrium solutions in single emission abatement strategy are positive, we can derive the Hessian matrix of \({\Pi }_{M}^{COD}\) with respect \({p}_{d}^{COD},{ w}^{COD},\) and \({\theta }^{COD}\) is negative definite. Thus, a unique optimal solution for Eq. (3) exists. Then the optimal solution of the manufacturer can be derived by the Karush–Kuhn–Tucker (KKT) conditions. The Lagrangian function is:
where \({\omega }_{1}\), \({\omega }_{2}\),\({\omega }_{3}\), and \({\omega }_{4}\) are Lagrangian multipliers. The KKT conditions are:
We derive that when \({\omega }_{1}={\omega }_{2}={\omega }_{3}= {\omega }_{4 }=0\), the optimal solution exists in case A. The optimal solution is illustrated in Theorem 1.
Appendix 2
Proof of Proposition 1
According to Theorem 1, we can derive the following first-order conditions:
Based on the above assumption \(e<\frac{2\sqrt{k(3-2\gamma -{\gamma }^{2})}}{3+\gamma }+(\gamma -1){p}_{e}\), we can derive \(\partial {\theta }^{{COD}^{*}}/\partial e>0\), \(\partial {D}_{r}^{{COD}^{*}}/\partial e>0\), \(\partial {D}_{d}^{{COD}^{*}}/\partial e>0\), \(\partial {\Pi }_{M}^{{COD}^{*}}/\partial e>0\),\(\partial {\Pi }_{R}^{{COD}^{*}}/\partial e>0\).
Proof of Proposition 2
The proof process is similar to that of Proposition 1, thus substituting \({p}_{e}=0\) into the relevant first-order conditional expressions of Proposition 1.
Appendix 3
On the one hand, we have concluded that the wholesale price equals to direct price in the “Case A: single emission abatement strategy in the green dual-channel supply chain” section. To be consistent with previous conclusions, we are going to solve the model in case B based on \({p}_{d}^{CTD}={w}^{CTD}\). One the other hand, a rational retailer will compare wholesale price and direct price, and then, choose the lower one to wholesale the products. Thus, prices in a dual-channel supply chain must meet the conditions \({p}_{d}^{CTD}\ge {w}^{CTD}\). Therefore, the equality \({p}_{d}^{CTD}={w}^{CTD}\) is realistic. Firstly, we derive best response retail price and service level. With Eq. (8), given that \({\partial }^{2}{\Pi }_{R}^{CTD}/{\partial {p}_{r}^{CTD}}^{2}=-2<0\) and \(Det\left(\left\{\frac{{\partial }^{2}{\Pi }_{R}^{CTD}}{{\partial {p}_{r}^{CTD}}^{2}},\frac{{\partial }^{2}{\Pi }_{R}^{CTD}}{\partial {p}_{r}^{CTD}\partial {s}^{CTD}}\right\},\left\{\frac{{\partial }^{2}{\Pi }_{R}^{CTD}}{\partial {p}_{r}^{CTD}\partial {s}^{CTD}},\frac{{\partial }^{2}{\Pi }_{R}^{CTD}}{{\partial {s}^{CTD}}^{2}}\right\}\right)= Det(\left\{-2,\beta \right\},\left\{\beta ,-\eta \right\})=2\eta -{\beta }^{2}>0\), we can derive that \({\Pi }_{R}^{CTD}\) is jointly concave in \({p}_{r}^{CTD}\) and \({s}^{CTD}\). Therefore, let \(\frac{\partial {\Pi }_{R}^{CTD}}{\partial {p}_{r}^{CTD}}= \frac{\partial {\Pi }_{R}^{CTD}}{\partial {s}^{CTD}}=0\), we obtain the retailer’s best response function:
We substitute Eq. (C-1) and Eq. (C-2) to Eq. (7) and get a new simplified manufacturer’s profit expressed by \({p}_{d}^{CTD},{ w}^{CTD}\), and \({\theta }^{CTD}\). Assuming \({\beta }^{2}<2\eta\) and \(({\beta }^{2}-(3+\gamma )\eta ){\left(e+\left(\gamma -1\right){p}_{e}\right)}^{2}+2(\gamma -1)(k({\beta }^{2}-2\eta )+2e(-{\beta }^{2}+(3+\gamma )\eta ){p}_{e})>0\) to ensure the equilibrium solutions in joint emission abatement strategy are positive, we can derive the Hessian matrix of \({\Pi }_{M}^{CTD}\) with respect \({w}^{CTD}\) and \({\theta }^{CTD}\) is negative definite. Thus, the unique optimal solutions for Eq. (7) exist. Then, the optimal solutions of the manufacturer can be derived by KKT conditions. We show the equilibrium solutions of case B in Theorem 2.
Appendix 4
Proof of Proposition 3
According to Theorem 2, we have the following first-order conditions:
According to \({\beta }^{2}<2\eta\) and \(({\beta }^{2}-(3+\gamma )\eta ){\left(e+\left(\gamma -1\right){p}_{e}\right)}^{2}+2(\gamma -1)(k({\beta }^{2}-2\eta )+2e(-{\beta }^{2}+(3+\gamma )\eta ){p}_{e})>0\), we can derive \(\partial {\theta }^{{CTD}^{*}}/\partial e>0\), \(\partial {s}^{{CTD}^{*}}/\partial e>0\), \(\partial {D}_{r}^{{CTD}^{*}}/\partial e>0\), \(\partial {D}_{d}^{{CTD}^{*}}/\partial e>0\), \(\partial {\Pi }_{M}^{{CTD}^{*}}/\partial e>0\),\(\partial {\Pi }_{R}^{{CTD}^{*}}/\partial e>0\).
Proof of Proposition 4
The proof process is similar to that of Proposition 3, thus substituting \({p}_{e}=0\) into the relevant first-order conditional expressions of Proposition 3.
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Yang, M., Zhang, T. & Zhang, Y. Optimal pricing and green decisions in a dual-channel supply chain with cap-and-trade regulation. Environ Sci Pollut Res 29, 28208–28225 (2022). https://doi.org/10.1007/s11356-021-18097-8
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DOI: https://doi.org/10.1007/s11356-021-18097-8