Abstract
Micro-level concerns about climate change can not only affect individual low-carbon behaviors but also exert intense pressure on carbon emission reduction strategies and policy design. However, whether public concern about climate change can affect per capita carbon emission is still unclear. Based on panel data from 30 provinces in China and 188,943 climate change-related blogs from 2012 to 2019, this research investigates the impact of public concern on per capita carbon emissions. Results show that, in general, public concern about climate change has a significant negative impact on per capita carbon emissions in China, indicating that climate crisis awareness has a supervisory effect on greenhouse gas emissions. Nevertheless, the effects of different public concerns on per capita carbon emissions are different, with the topics of “low-carbon appeal” and “concern for future” have significant positive impacts on per capita carbon emissions, while the topics of “carbon governance performance” and “climate change mitigation strategies” have significant negative impacts on per capita carbon emissions. The findings yield new opportunities to delve into the relationship between the externality of people's will and governmental behaviors and provide in-depth insights for decision-makers to develop tailor-made solutions towards carbon reduction and sustainable development. © 2023 Elsevier Ltd
| Original language | English |
|---|---|
| Article number | 139137 |
| Journal | Journal of Cleaner Production |
| Volume | 426 |
| Online published | 30 Sept 2023 |
| DOIs | |
| Publication status | Published - 10 Nov 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 13 Climate Action
-
SDG 17 Partnerships for the Goals
Research Keywords
- Carbon emission
- Climate change
- Panel data
- Public concern
- Social media
Fingerprint
Dive into the research topics of 'How does public concern about climate change affect carbon emissions? Evidence from large-scale online content and provincial-level data in China'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver