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作者:

Zhou, Wenwen (Zhou, Wenwen.) | Cao, Ximeng (Cao, Ximeng.) | Dong, Xuefan (Dong, Xuefan.) | Zhen, Xuan (Zhen, Xuan.)

收录:

EI Scopus SCIE

摘要:

Climate change poses an enormous challenge to countries across the world. News is a crucial channel to draw society's attention to this issue and strengthen climate governance initiatives, such as carbon emission reduction. The aim of this research was to investigate the effects of carbon-related news on carbon emissions and carbon transfer. First, we analyzed the topics of carbon-related news from media outlets such as ABC, CNN, and The Guardian from 2009 to 2019. Then, we calculated the carbon emissions from both production-and consumption based perspectives and constructed the carbon transfer network of major countries around the world. Finally, we examined the direct and lag effects of carbon-related news attention and contents on carbon emissions and carbon transfer by using the extended population, affluence, and technology (STIRPAT) model as the analytical framework. The results showed the following. First, countries are paying increasing attention to carbon-related issues with the rise of global carbon emissions, and they mainly focus on the social aspects of carbon emissions. Second, there are differences in production-and consumption-based carbon emissions by country. The amount of embodied carbon transfer between countries has increased over time and the carbon transfer network has become tighter. Finally, carbon-related news has a positive impact on improving carbon emissions and carbon transfer worldwide. Different news topics have also shown varying effects on carbon emissions and carbon transfer. In summary, this study further revealed the impacts of carbon-related news on carbon emissions and transfer and accordingly provided policy implications in carbon emission reduction for the government.

关键词:

Carbon emissions Network science Carbon transfer Topic model Carbon-related news STIRPAT model

作者机构:

  • [ 1 ] [Zhou, Wenwen]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Cao, Ximeng]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Dong, Xuefan]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Zhen, Xuan]Int Engn Consulting Corp CIECC, Chegongzhuang Xilu, Beijing 100048, Peoples R China

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来源 :

JOURNAL OF CLEANER PRODUCTION

ISSN: 0959-6526

年份: 2023

卷: 425

1 1 . 1 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:19

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