Research on Willingness to Pay for Cascade Utilization of New Energy Vehicle Battery Products under the “Double Carbon” Goal

With the growing global concern about climate change, China, as the world's largest carbon emitter, faces the great challenge of achieving the carbon peak and carbon neutral goals. This paper explores the factors affecting consumers' willingness to pay for secondary utilization of battery products and, based on the Theory of Planned Behavior (TPB), adds three variables, namely incentive policy, knowledge and perceived risk, and applies interpretative structural modeling (ISM) to analyze how these factors affect consumers' willingness to pay. It was found that knowledge and incentive policy are deep-level factors that affect willingness to pay, while consumers' perceived risk, perceived behavioral control, and subjective norms are mid-level influences that directly affect attitude and willingness to pay. Attitude, as a superficial factor, is a direct determinant of consumers' willingness to pay. Through ISM analysis, the study reveals the interactions and the dynamic circular system between these factors, emphasizing the importance of policy and knowledge dissemination in promoting consumer acceptance of new products, as well as the importance of reducing perceived risk and increasing self-efficacy in forming positive attitudes. Finally, the theoretical and practical implications of the findings are discussed and relevant policy recommendations are made.

Authors

Publication Details

Journal
Highlights in Business Economics and Management
Published
2025-09-21
DOI
https://doi.org/10.54097/7vzbk729
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Willingness to Pay for Cascade Utilization of New Energy Vehicle Battery Products under the “Double Carbon” Goal

Huaming Song, Qian Xu, Pengyu Dai
Highlights in Business Economics and Management
Electric Vehicles and Infrastructure
article

Research on Willingness to Pay for Cascade Utilization of New Energy Vehicle Battery Products under the “Double Carbon” Goal

Huaming Song, Qian Xu, Pengyu Dai
article en

Abstract

With the growing global concern about climate change, China, as the world's largest carbon emitter, faces the great challenge of achieving the carbon peak and carbon neutral goals. This paper explores the factors affecting consumers' willingness to pay for secondary utilization of battery products and, based on the Theory of Planned Behavior (TPB), adds three variables, namely incentive policy, knowledge and perceived risk, and applies interpretative structural modeling (ISM) to analyze how these factors affect consumers' willingness to pay. It was found that knowledge and incentive policy are deep-level factors that affect willingness to pay, while consumers' perceived risk, perceived behavioral control, and subjective norms are mid-level influences that directly affect attitude and willingness to pay. Attitude, as a superficial factor, is a direct determinant of consumers' willingness to pay. Through ISM analysis, the study reveals the interactions and the dynamic circular system between these factors, emphasizing the importance of policy and knowledge dissemination in promoting consumer acceptance of new products, as well as the importance of reducing perceived risk and increasing self-efficacy in forming positive attitudes. Finally, the theoretical and practical implications of the findings are discussed and relevant policy recommendations are made.

Highlights in Business Economics and ManagementVol. 63
Openalex Percentile: Top 71%
Electric Vehicles and Infrastructure
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.