Evidence map›Paper›PMID 40346060›Full record

ArticleScientific reports2025

NEV battery recycling innovation strategy considering pro-social behavior from the game theory perspective.

Yaoqun Xu, Yi Zheng, Nan Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yaoqun XuSchool of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China. xuyq@hrbcu.edu.cn.
Yi ZhengSchool of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China.
Nan XuSchool of Management, Harbin University of Commerce, Harbin, 150028, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological innovation serves as the core driving force for achieving sustainable and circular transportation systems. However, during the recycling process, consumers' pro-social behavior such as willingness to return used batteries and support green initiatives, directly influences recycling rates and incentivizes recyclers to adopt advanced technologies. To explore this dynamic, this paper constructs a closed-loop supply chain (CLSC) decision-making game model involving new energy vehicle (NEV) manufacturers, recyclers, and consumers, with a focus on power battery recycling. The study aims to investigate the impact of technological innovation subsidy and the level of consumers' pro-social behavior on the innovation decisions of recycling agents. The findings reveal that: (1) Pro-social behavior significantly enhances the power battery recycling rate by increasing consumers' willingness to participate in waste battery recycling and support green initiatives, thereby incentivizing recyclers to actively adopt technological innovations. (2) Both NEV manufacturers and power battery recyclers have a free-rider scenario in their technological innovations, and higher free-rider revenues will discourage both parties from technological innovations. (3) Greater subsidies can effectively promote the technological innovation of NEV manufacturers and recyclers, and manufacturers are more sensitive to government subsidies for technological innovation.

Indexed as

Evolutionary gamePower battery recycleProsocial behaviorTechnological innovation

Identifiers

PMID40346060
PMCPMC12064703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.