Abstract

Given the different fairness preferences of online retailers and their investment in emission reduction and revenue sharing with manufacturers, an e-commerce low-carbon supply chain decision model was established using Stackelberg game theory under three circumstances: no fairness preference, symmetric fairness preferences, and asymmetric fairness preferences. Results reveal that the asymmetric fairness preference behaviors of online retailers weaken the manufacturers’ profits, where the online retailer’s utility is negatively correlated with its asymmetric fairness preference coefficient. The real fairness preference coefficient of the online retailer estimated by the manufacturer is negatively correlated with the manufacturer’s wholesale price and carbon emission reduction. The revenue sharing proportion of the manufacturer presents a positive correlation with its wholesale price but shows no correlation with the retail price, the green degree, or the supply chain profit. Within a feasible region, the proportion of the online retailer’s investment in emission reduction is positively correlated with the manufacturer’s profit, the online retailer’s utility, the total utility of the supply chain, the carbon emission reduction, the product’s retail price, and the product’s wholesale price.

Highlights

  • With the sustainable economic development, resources have been consumed at an ever-increasing speed, triggering problems, such as the surge of CO2 emission and the continuous aggravation of the surrounding environment [1].erefore, many governments have enacted relevant laws and regulations to restrict and reduce carbon emissions [2–4]

  • To make the model closer to reality and further enhance the ability of the research conclusions to provide guidance, this paper considers the asymmetric fairness preference of online retailers

  • Literature Review is study is related to three research streams in the literature: the influences of the subjects’ behavioral preferences on the decisions in the low-carbon supply chain, the cost sharing of carbon emission reduction among supply chain enterprises, and the fairness preferences on the decisions in the supply chain

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Summary

Introduction

With the sustainable economic development, resources have been consumed at an ever-increasing speed, triggering problems, such as the surge of CO2 emission and the continuous aggravation of the surrounding environment [1]. Us, this paper builds an e-commerce low-carbon supply chain model under fairness preference and considers the investment of online retailers in emissions reduction and the revenue sharing of manufacturers. (3) Considering the asymmetric fairness preference of online retailers, how does the revenue sharing of manufacturers affect the utility, price decision, and carbon emission reduction of the e-commerce lowcarbon supply chain?. (1) Compared with the existing literature, this paper constructs an e-commerce low-carbon supply chain model considering the investment of online retailers in emissions reduction and the revenue sharing of manufacturers under the fairness preference, making the e-commerce low-carbon supply chain pricing decision model closer to reality. Literature Review is study is related to three research streams in the literature: the influences of the subjects’ behavioral preferences on the decisions in the low-carbon supply chain, the cost sharing of carbon emission reduction among supply chain enterprises, and the fairness preferences on the decisions in the supply chain

Influences of Subjects’ Behavioral Preferences on the Decisions in the Low-Carbon
Cost Sharing of Carbon Emission Reduction among Supply Chain Enterprises
Influence of Subjects’ Fairness Preferences on Supply Chain Decisions
Model Description and Symbol Explanation
Considering the No Fairness Preference Behaviors of the Online Retailer
Considering the Symmetric Fairness Preference Behaviors of the Online Retailer
Considering the Asymmetric Fairness Preference Behaviors of the Online Retailer
Conclusions
Research Expectations
Theorems Proof
Findings
Deduction 1 Proof
Full Text
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