规划零净排放之路

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2023-12-07 DOI:10.1075/ijcl.22123.fuo
Matteo Fuoli, Annika Beelitz
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引用次数: 0

摘要

大公司是全球碳排放的主要贡献者,它们的投资决策对全球应对气候变化的能力有重大影响。本研究结合了语料库和话语方法,考察了主要排放企业如何回应《巴黎协定》,它们如何在日益增加的公众压力下使自己的做法合法化,以及在高收入和中等收入国家运营的企业在气候变化框架方面的差异。结果显示,碳巨头越来越关注气候问题,广泛支持《巴黎协定》的目标,并越来越多地做出净零排放的承诺。然而,仔细观察语言模式就会发现,在宣称的目标、倡导的解决方案和应对不断升级的气候危机所需的激进步骤之间,存在令人不安的脱节。中等收入国家的公司对气候变化的关注相对较少,这表明需要更好地协调全球努力来解决这一问题。
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Framing the path to net zero
Big corporations are a leading contributor to global carbon emissions and their investment decisions have a significant impact on the world’s ability to tackle climate change. This study combines corpus and discourse approaches to examine how major corporate emitters have responded to the Paris Agreement, how they legitimize their practices amid mounting public pressure, and how companies operating in high- and middle-income countries differ in their framing of climate change. The results show that carbon majors place increasing focus on climate issues, widely support the goals of the Paris Agreement, and are increasingly making net-zero pledges. However, close inspection of linguistic patterns reveals a troubling disconnect between proclaimed goals, the solutions advocated for, and the radical steps needed to address the escalating climate crisis. Companies from middle-income countries devote comparatively less attention to climate change, which points to the need for better coordinated global efforts to address this problem.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
期刊最新文献
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