Dual-Channel Pricing Decisions for Product Recycling in Green Supply Chain Operations: Considering the Impact of Consumer Loss Aversion

Int J Environ Res Public Health. 2023 Jan 18;20(3):1792. doi: 10.3390/ijerph20031792.

Abstract

With the vigorous rise of online third-party recycling platforms, dual-channel recycling has become the primary recycling mode in the reverse supply chain (RSC). However, as the main body of recycling, consumers have a significant impact on the recycling process, and their behavioral preferences are rarely considered in the pricing decision of the reverse recycling supply chain. Based on the dual-channel RSC, this paper considers the competition among channels. It introduces the loss aversion behavior preference of consumers to establish a dual-channel RSC composed of remanufacturers and online and offline recyclers. This study aims to analyze the impact of consumers' loss aversion behavior on the recycling pricing and profit of each node in the green RSC and discuss the decision of recyclers under consumers' loss aversion behavior. The results show that the deeper consumers' aversion to the loss of recycling price, the lower the recycling price of dual-channel recyclers will be, which will be more conducive to the increase in the profit of online recyclers. However, the profit of remanufacturers will be reduced, and the total amount of recycling will decline. This paper considers the impact of consumer loss aversion behavior on dual-channel reverse supply chain pricing decisions based on prospect theory. It provides references for chain members to set recycling prices to increase people's enthusiasm for recycling and the amount of recycled scrap, contributes to the cause of resource conservation and environmental protection, and improves the economic efficiency of recycling enterprises.

Keywords: dual-channel pricing; green supply chain (GSC); loss aversion; product recycling.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Commerce*
  • Conservation of Natural Resources
  • Consumer Behavior
  • Costs and Cost Analysis
  • Equipment Reuse*
  • Humans
  • Recycling / methods

Grants and funding

This work was supported by the National Natural Science Foundation of China (Nos. 72071096, 71971100) and the Philosophy and Social Sciences Excellent Innovation Team Construction Foundation of Jiangsu province (SJSZ2020-20).