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Classifying intentions for carbon neutrality participation through latent class analysis
Jae Eun Lee1,2, Seol A Kwon2, Hyun Soo Park2
1Department of Public Administration and Department of Crisisonomy, Chungbuk National University, Chungbuk, 28644, South Korea.
Heliyon
|December 25, 2024
Summary
Understanding public engagement in carbon neutrality is key for sustainability. This study identified three citizen groups—Active, Limited Daily Life, and Passive Participants—based on their willingness to join climate action efforts.
Area of Science:
- Environmental Science
- Sociology
- Climate Change Studies
Background:
- The climate crisis presents a significant threat to global sustainable development.
- Carbon neutrality is a critical objective for mitigating climate change impacts.
- Public engagement is essential for the successful implementation of carbon neutrality initiatives.
Purpose of the Study:
- To classify citizens' intentions and willingness to participate in carbon neutrality activities.
- To identify distinct segments of the public based on their engagement levels.
- To inform targeted strategies for enhancing public participation in climate action.
Main Methods:
- Latent Class Analysis (LCA) was employed to categorize participation.
- Data were collected from 800 residents in Cheongju, South Korea.
- Willingness to engage in 13 distinct carbon neutrality activities was assessed.
Main Results:
- Three distinct citizen groups were identified: 'Active Participation,' 'Limited Daily Life Participation,' and 'Passive Participation.'
- These groups represent varying degrees of awareness and engagement with carbon neutrality efforts.
- Individual awareness and peer behavior were found to be significant factors influencing participation.
Conclusions:
- Understanding citizen segmentation is crucial for designing effective climate action strategies.
- Targeted interventions can enhance public engagement in carbon neutrality.
- Policymakers and advocates can leverage these findings to promote a sustainable society.
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