Evidence map›Paper›PMID 42302021›Full record

ArticlePloS one2026

Strategies for carbon reduction and advertising investments in partially centralized supply chains.

Weisi Zhang, Jiahao Kong, Wei Zhao, Juanjuan Liu

Abstract read
In one paragraph

Article in PloS one, 2026. 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

4 authors.

Weisi ZhangInstitute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.
Jiahao KongInstitute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.
Wei ZhaoInstitute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.
Juanjuan LiuSchool of Economics & Management, Shanghai Maritime University, Shanghai, China.ORCID https://orcid.org/0009-0009-8424-7142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rising concerns about climate change and growing consumer awareness of environmental sustainability have accelerated the adoption of cap-and-trade policies worldwide. This study investigates how different supply chain operation models influence manufacturers' carbon reduction decisions and retailers' green advertising strategies. Our analysis reveals that higher carbon trading prices generally stimulate greater emission reduction efforts. However, when both the carbon price and the cost of emission reduction are sufficiently high, further increases in carbon prices may instead weaken firms' incentives to reduce emissions. We further find that increasing cost-sharing ratios alone does not necessarily improve coordination outcomes. Instead, the effectiveness of coordination depends critically on the structure of cost-sharing. The effectiveness of supply chain coordination hinges on strategic allocation of cost-sharing ratios, specifically, the RC model performs better when carbon reduction cost-sharing is low and advertising cost-sharing is high. When carbon reduction cost-sharing is high, the MC model is preferred under low advertising cost-sharing, whereas the DC model becomes more effective when advertising cost-sharing is high.

Indexed as

AdvertisingCarbonCommerceClimate ChangeEnvironmental PollutionInvestmentsModels, StatisticalCarbon

Identifiers

PMID42302021
PMCPMC13271493

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.