Evidence map›Paper›PMID 35457481›Full record

ArticleInternational journal of environmental research and public health2022

Exploring an Efficient Evolutionary Game Model for the Government-Enterprise-Public during the Double Carbon Policy in China.

Bilin Zou, Chunhua Ju, Fuguang Bao, Ye Lai, Chonghuan Xu, Yiwen Zhu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Role of Enterprise Alliance in Carbon Emission Reduction Mechanism: An Evolutionary Game Analysis.International journal of environmental research and public health · 2022
    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

6 authors.

Bilin ZouSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Chunhua JuSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Fuguang BaoSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Ye LaiSchool of Electronic and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China.
Chonghuan XuAcademy of Zhejiang Culture Industry Innovation & Development, Zhejiang Gongshang University, Hangzhou 310018, China.ORCID 0000-0001-9757-1915
Yiwen ZhuSchool of Chinese Language and Literature, Zhengzhou University, Zhenzhou 450000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The realization of China's "double carbon" goal is of great significance to the world environment and China's economy and society. Through the establishment of the "government-enterprise-public" evolutionary game model, this paper explores the interaction between government policy guidance, low-carbon technology R&D behavior of enterprises, and public purchase of carbon label products, as well as the micro-driving path, aiming to provide suggestions for the implementation of the "double carbon" policy and carbon label system in China. The results show that the choice of government, enterprises, and public strategies is closely related to their own costs and benefits. Public sentiment can effectively urge the government to actively fulfill its responsibilities. Effective government policy guidance plays a key role in low-carbon technology R&D behavior of enterprises. There is an interaction between low-carbon technology R&D behavior of enterprises and public purchase of carbon label products.

Indexed as

CarbonGovernmentBiological EvolutionChinaPolicyCarbonact of governmentcarbon labelling systemCPAN goalsevolutionary gamelow-carbon technology R&D

Identifiers

PMID35457481
PMCPMC9033048

What Socratic 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 Socratic graph.