Research on low-carbon supply chain emission reduction strategies based on blockchain technology

The difficulty of regulating carbon trading due to information asymmetry and low consumer trust in low-carbon products are key factors hindering companies from reducing emissions. This paper examines a manufacturer-led secondary low-carbon supply chain consisting of a single supplier and a retailer, focusing on the impact of blockchain technology on carbon transaction costs and consumers’ low-carbon preferences. Utilizing Stackelberg game theory, the paper constructs a supply chain decision model for emission reduction, determining the payment matrix and analyzing the stable strategy for blockchain adoption through evolutionary game theory. The findings indicate that retailers’ adoption of blockchain technology significantly promotes emission reduction within the supply chain, whereas manufacturers’ adoption has minimal impact. Additionally, the study reveals that variations in blockchain adoption costs and carbon quotas result in multiple evolutionary stable strategies. Specifically, when blockchain adoption costs and carbon quotas are below certain thresholds, the system reaches a unique equilibrium where both parties adopt blockchain technology.

Authors

Institutions

Publication Details

Journal
RAIRO. Operations research
Published
2024-09-01
DOI
https://doi.org/10.1051/ro/2024185
Citations
6
Primary Topic
Recycling and Waste Management Techniques
Type
article
Field-Weighted Citation Impact
1.76

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on low-carbon supply chain emission reduction strategies based on blockchain technology

lingrong zhang, Feng Wang
6 citations
RAIRO. Operations research
Recycling and Waste Management Techniques
1.76
article

Research on low-carbon supply chain emission reduction strategies based on blockchain technology

lingrong zhang, Feng Wang
article en
6 citations

Abstract

The difficulty of regulating carbon trading due to information asymmetry and low consumer trust in low-carbon products are key factors hindering companies from reducing emissions. This paper examines a manufacturer-led secondary low-carbon supply chain consisting of a single supplier and a retailer, focusing on the impact of blockchain technology on carbon transaction costs and consumers’ low-carbon preferences. Utilizing Stackelberg game theory, the paper constructs a supply chain decision model for emission reduction, determining the payment matrix and analyzing the stable strategy for blockchain adoption through evolutionary game theory. The findings indicate that retailers’ adoption of blockchain technology significantly promotes emission reduction within the supply chain, whereas manufacturers’ adoption has minimal impact. Additionally, the study reveals that variations in blockchain adoption costs and carbon quotas result in multiple evolutionary stable strategies. Specifically, when blockchain adoption costs and carbon quotas are below certain thresholds, the system reaches a unique equilibrium where both parties adopt blockchain technology.

RAIRO. Operations researchVol. 58(5)
Dalian University of Technology (CN), Dalian University (CN)
National Social Science Fund of China
Openalex Percentile: Top 17%
Recycling and Waste Management Techniques
1.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.