Evidence map›Paper›PMID 38726134›Full record

ArticleHeliyon2024

Research on the evolution game of low-carbon operations in cold chain logistics considering environmental regulations and green credit.

Rong Wu, Lin Zhu, Man Jiang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Review
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.

Rong WuSchool of Management, Harbin University of Commerce, Harbin, 150028, China.
Lin ZhuSchool of Management, Harbin University of Commerce, Harbin, 150028, China.
Man JiangSchool of Management, Harbin University of Commerce, Harbin, 150028, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To solve the problem of insufficient low-carbon operational motivation among cold chain logistics enterprises due to the high investment costs of low-carbon assets and considering the promotional effect of environmental regulatory policies and green credit, an evolutionary game model was constructed for the government, cold chain logistics enterprises, and financial institutions. The stability strategies of each participating entity and the stability of the system equilibrium point were analyzed, and the relevant conclusions were verified through numerical simulations. The research results indicated the following: (1) the initial willingness of the three parties to participate increased, the low-carbon operation of cold chain logistics enterprises and the speed of green credit services provided by financial institutions accelerated, and the rate of strict government regulation slowed down. (2) Moderate subsidies and taxes were conducive to the joint participation of the three parties. (3) Increasing the subsidy for green credit provided positive incentives for financial institutions to provide green credit services, while reducing credit interest rates accelerated the low-carbon operation rate of cold chain logistics enterprises.

Indexed as

Cold chain logisticsEnvironmental regulationsGreen creditLow-carbon operation

Identifiers

PMID38726134
PMCPMC11079247

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.