Evidence map›Paper›PMID 39720056›Full record

ArticleHeliyon2024

Classifying intentions for carbon neutrality participation through latent class analysis.

Jae Eun Lee, Seol A Kwon, Hyun Soo Park, Ke Zhang, Wei Lu, Lin Dong

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. 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

6 authors.

Jae Eun LeeDepartment of Public Administration and Department of Crisisonomy, Chungbuk National University, Chungbuk, 28644, South Korea.
Seol A KwonNational Crisisonomy Institute, Chungbuk National University, Chungbuk, 28644, South Korea.
Hyun Soo ParkNational Crisisonomy Institute, Chungbuk National University, Chungbuk, 28644, South Korea.
Ke ZhangDepartment of Public Administration, Law School & Intellectual Property School, Sichuan University of Science & Engineering, Sichuan Province, 643000, China.
Wei LuDepartment of Crisisonomy, Chungbuk National University, Chungbuk, 28644, South Korea.
Lin DongDepartment of Public Administration, Chungbuk National University, Chungbuk, 28644, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to classify citizens' intentions to participate in carbon neutrality activities, emphasizing the crucial role of public engagement in achieving sustainability goals amid the climate crisis. The climate crisis has rapidly become one of the most pressing challenges to global sustainable development, with carbon neutrality as a key objective. To understand variations in citizens' willingness to engage in carbon neutrality efforts, we conducted a Latent Class Analysis (LCA) on responses from 800 residents of Cheongju, South Korea, categorizing their willingness to participate in 13 different carbon neutrality activities. The analysis identified three distinct groups: 'Active Participation,' 'Limited Daily Life Participation,' and 'Passive Participation,' each reflecting different levels of awareness and practice in response to the climate crisis. The findings highlight that both individual awareness and peer behavior are significant factors influencing participation in carbon neutrality activities. The practical implications of this study involve creating targeted strategies to enhance public engagement in carbon neutrality, offering valuable insights for policymakers and climate advocates in developing effective interventions to promote a more sustainable society.

Indexed as

Carbon neutralityClimate crisisClimate crisis awarenessLatent class analysis (LCA)Public participation

Identifiers

PMID39720056
PMCPMC11667602

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.