Classifying intentions for carbon neutrality participation through latent class analysis

通过潜在类别分析对碳中和参与意愿进行分类

阅读:1

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。