Optimal Incentive Strategy of Technology Information Sharing in Power Battery Recycling Supply Chain

With the rapid development of the new energy vehicle industry, the efficiency of information sharing in the power battery recycling supply chain greatly affects resource utilization and sustainability. This paper examines battery manufacturers and third-party recyclers as game participants. We analyze incentive mechanisms for sharing technical information, considering both information quality and leakage risks. This study constructs three types of Stackelberg game models: contract mechanisms, profit-sharing mechanisms, and cost-sharing mechanisms. We analyze the impact of technical information quality and leakage costs on supply chain decisions. Results show that manufacturer profits increase with growing leakage costs, following optimal transitions through profit-sharing, contract, and cost-sharing mechanisms. Recycler profits are influenced by both the quality of technical information and leakage costs. Overall supply chain profits trend toward cost-sharing mechanisms when technical information quality is low and favor profit-sharing mechanisms when quality is high. Under low leakage risk, cost-sharing mechanisms dominate at the technological level and in terms of recycling quantity. Under high leakage risk, profit-sharing mechanisms share leakage costs and lead in technology investment and recycling quantity. Contract mechanisms consistently have the lowest levels and volumes because they lack cost sharing and profit compensation. This study provides a theoretical foundation and practical guidance for information-sharing strategies in power battery recycling supply chains.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-12-22
DOI
https://doi.org/10.3390/su18010144
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Optimal Incentive Strategy of Technology Information Sharing in Power Battery Recycling Supply Chain

Jiumei Chen, Jiale Jiang
Sustainability
Sustainable Supply Chain Management
article

Optimal Incentive Strategy of Technology Information Sharing in Power Battery Recycling Supply Chain

Jiumei Chen, Jiale Jiang
article en

Abstract

With the rapid development of the new energy vehicle industry, the efficiency of information sharing in the power battery recycling supply chain greatly affects resource utilization and sustainability. This paper examines battery manufacturers and third-party recyclers as game participants. We analyze incentive mechanisms for sharing technical information, considering both information quality and leakage risks. This study constructs three types of Stackelberg game models: contract mechanisms, profit-sharing mechanisms, and cost-sharing mechanisms. We analyze the impact of technical information quality and leakage costs on supply chain decisions. Results show that manufacturer profits increase with growing leakage costs, following optimal transitions through profit-sharing, contract, and cost-sharing mechanisms. Recycler profits are influenced by both the quality of technical information and leakage costs. Overall supply chain profits trend toward cost-sharing mechanisms when technical information quality is low and favor profit-sharing mechanisms when quality is high. Under low leakage risk, cost-sharing mechanisms dominate at the technological level and in terms of recycling quantity. Under high leakage risk, profit-sharing mechanisms share leakage costs and lead in technology investment and recycling quantity. Contract mechanisms consistently have the lowest levels and volumes because they lack cost sharing and profit compensation. This study provides a theoretical foundation and practical guidance for information-sharing strategies in power battery recycling supply chains.

SustainabilityVol. 18(1)
Anhui Polytechnic University (CN)
Jilin Office of Philosophy and Social Science
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Sustainable Supply Chain Management
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.