Evidence map›Paper›PMID 40163541›Full record

ArticlePloS one2025

Recycling and remanufacturing or technology upgrading? emission reduction decisions of supply chain under carbon cap-and-trade mechanism.

Xiaoyuan Wu, Wenqing Miao, Xingxian Zhang, Wenjin Zuo, Bingliang Shen

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Xiaoyuan WuSchool of Foreign Studies, Yiwu Industrial and Commercial College, Yiwu, Zhejiang, China.
Wenqing MiaoDigital Intelligence Management Research Institute, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China.ORCID 0000-0003-3511-7316
Xingxian ZhangSchool of Architecture and Engineering, Tongling University, Tongling, Anhui, China.
Wenjin ZuoDigital Intelligence Management Research Institute, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China.
Bingliang ShenDepartment of Public Foundations, Shanghai University of Finance and Economics Zhejiang College, Jinhua, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cap-and-trade mechanism can efficiently reduce carbon emissions, which makes it widely used around the world. This paper builds a Stackelberg game model for a manufacturer-led secondary supply chain and analyzes the best pricing, carbon reduction strategies, and the impacts of each variable on equilibrium results when using two emission reduction methods, recycling & remanufacturing, and technology upgrading under the cap-and-trade mechanism. The relationship between the variables was verified through case studies, and the economic benefits and emission reduction effects of the two emission reduction methods were compared. It is found that manufacturers' profit in the recycling and remanufacturing mode is higher compared to that of the technology upgrading mode when consumer price sensitivity coefficient is low, but its emission reduction effect is less effective; raising the price of carbon trading can effectively increase the carbon reduction per unit low-carbon products and reduce total carbon emissions under the two modes. The government should boost the price of carbon to promote enterprises to reduce emissions, and it can also guide manufacturers to choose the technology upgrading emission reduction mode through other ways to minimize the total carbon emissions.

Indexed as

CarbonCommerceRecyclingCarbon

Identifiers

PMID40163541
PMCPMC11957341

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.