Exploring the optimal reverse supply chain for e-waste treatment under Chinese government subsidy.

This study aims to analyze the influence of Chinese government subsidy on e-waste treatment formal and informal reverse supply chains (RSC) and to explore the optimal formal channel structure. Under the formal recycler-Stackelberg game, we establish three game theory models respectively under the conditions of price insensitive and price sensitive overall collection quantity. In each model, a dual-channel RSC, the green technology investment decision of formal recycler and a subsidy for formal recycler are modelled. Besides, the three models are different in collectors and collection effort implementers of the formal channel. Through mathematical modelling and comparison analysis, the study concludes that the best choice for the formal recycling enterprises is to establish its own collection channel or centralize other independent collection channels. Under the condition of price insensitive overall collection quantity, the suboptimal choice is to implement collection effort positively. Under the condition of price sensitive overall collection quantity, the suboptimal choice is to outsource the collection effort when formal recycling enterprises benefit more from the collection effort. And the phenomenon is more outstanding when the overall collection quantity can be greatly improved by the collection price. For governments, they are recommended to prudently implement the subsidy and determine the amount of subsidy because the subsidy may benefit informal channels and the effectiveness of the subsidy varies along with formal channel structures. This study is beneficial for the promotion of formal RSC by providing the optimal channel structure for formal recycling enterprises and indicating the optimal subsidy for governments. Copyright © 2021 Elsevier Ltd. All rights reserved.

Citation

Juntao Wang, Wenhua Li, Nozomu Mishima, Tsuyoshi Adachi. Exploring the optimal reverse supply chain for e-waste treatment under Chinese government subsidy. Waste management (New York, N.Y.). 2022 Jan 01;137:128-138

Mesh Tags

PMID: 34752946

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