Decision-Making in Dual-Channel Green Supply Chain Considering Market Structure
- 1 School of Management, Jinan University, Guangzhou, China
- 2 School of Management, Jinan University, Guangzhou, China
Abstract
With the increasing awareness of environmental protection among consumers, green products are increasingly favored by the general public. The rapid development of e-commerce has increased the channels for consumers to contact and purchase green products. In this paper, consumers’ perceived differences in product greenness among different channels are considered and three models of manufacturer-dominated Stackelberg game, retailer-dominated Stackelberg game and Nash equilibrium with equal power are constructed based on the difference pricing between online and offline channels. Also, the results of dual-channel structure are compared with those of single-channel respectively. The results show that when the green R & D costs are relatively high, manufacturers and retailers are motivated to compete as channel leaders, but for the entire supply chain, Nash’s decision-making can improve product greenness and profitability of the supply chain. When green R & D costs are low, manufacturers’ profits are higher under asymmetric power supply chains and lowest under vertical Nash decisions. Under the three kinds of power structure, product greenness and manufacturer’s profit are higher than single channel under dual-channel structure. The comparison of retailer’s profit in dual channel and single channel depends on green R & D costs.
- Navinchandra, D. (1990) Steps toward Environmentally Compatible Product and Process Design: A Case for Green Engineering. The Robotics Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA.
- Dangelico, R.M. and Pontrandolfo, P. (2010) From Green Product Definitions and Classifications to the Green Option Matrix. Journal of Cleaner Production, 18, 1608-1628. https://doi.org/10.1016/j.jclepro.2010.07.007
- Xiang, D., Duan, G.H., Wang, J.S., et al. (2001) Integrated Assessment of Product Green Degree Based on Product System. Computer Integrated Manufacturing Systems, 8, 12-16.
- Tao, J.H., Wang, J.F. and Zhang, R. (2005) Evaluation Method and Application of Product’s Green Degree Based on LCIA. Soft Science, 3, 10-13.
- Zhang, Q.S., Xu, W., Qiao, F.L., et al. (2008) Manufacturers’ Green Product Choice Optimization Based on Entropy Method Industry. Management Review, 10, 45-50.
- Ghosh, D. and Shah, J. (2012) A Comparative Analysis of Greening Policies across Supply Chain Structures. International Journal of Production Economics, 135, 568-583. https://doi.org/10.1016/j.ijpe.2011.05.027
- Ghosh, D. and Shah, J. (2014) Supply Chain Analysis under Green Sensitive Consumer Demand and Cost Sharing Contract. International Journal of Production Economics, 164, 319-329. https://doi.org/10.1016/j.ijpe.2014.11.005
- Jiang, S.Y. and Li, S.C. (2015) Green Supply Chain Game Models and Revenue Sharing Contract with product Green Degree. Chinese Journal of Management Science, 23, 169-176.
- Yu, Y., Han, X. and Hu, G. (2016) Optimal Production for Manufacturers Considering Consumer Environmental Awareness and Green Subsidies. International Journal of Production Economics, 182, 397-408. https://doi.org/10.1016/j.ijpe.2016.09.014
- Li, B., Zhu, M., Jiang, Y., et al. (2016) Pricing Policies of a Competitive Dual-Channel Green Supply Chain. Journal of Cleaner Production, 112, 2029-2042. https://doi.org/10.1016/j.jclepro.2015.05.017
- Jamali, M.B. and Rasti-Barzoki, M. (2017) A Game Theoretic Approach for Green and Non-Green Product Pricing in Chain-To-Chain Competitive Sustainable and Regular Dual-Channel Supply Chains. Journal of Cleaner Production, 170, 1029-1043.
- Zhang, R., Liu, B. and Wang, W. (2012) Pricing Decisions in a Dual Channels System with Different Power Structures. Economic Modelling, 29, 523-533. https://doi.org/10.1016/j.econmod.2011.08.024