2018
DOI: 10.3390/su10051596
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A Multi-Risk Approach to Climate Change Adaptation, Based on an Analysis of South Korean Newspaper Articles

Abstract: Abstract:The risks caused by climate change are worsening worldwide, and it is recognized that national and regional responses to climate change are essential. This study therefore explores climate change risks that have been recognized as fatal to people and the environment by analyzing multi-influence factors that appear in multiple risk indicators. The climate change risks in this study are based on 73 existing risk indicators; the frame data for multi-influence risk factors are based on 3098 newspaper arti… Show more

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Cited by 8 publications
(5 citation statements)
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“…A quote from the sustainability manager includes: “electricity supply is from coal which is dirty and contributes to our carbon footprint (mining and industry sector).” This reflects that climate change and natural resource constraints trigger sustainability concerns amongst the sectors at difference points and scales mainly depending on the association or dependencies of the organisation on natural resources. This is consistent with recent survey finding identifying climate change as an increasing priority for business (Ernst and Young, 2010; WEF, 2011; Kang and Park, 2018). It was interesting to note that neither of the respondents from the food and beverage sector noted climate change and natural resource constraints as drivers of sustainability, especially considering that this sector is heavily influenced by climate change.…”
Section: Resultssupporting
confidence: 92%
See 2 more Smart Citations
“…A quote from the sustainability manager includes: “electricity supply is from coal which is dirty and contributes to our carbon footprint (mining and industry sector).” This reflects that climate change and natural resource constraints trigger sustainability concerns amongst the sectors at difference points and scales mainly depending on the association or dependencies of the organisation on natural resources. This is consistent with recent survey finding identifying climate change as an increasing priority for business (Ernst and Young, 2010; WEF, 2011; Kang and Park, 2018). It was interesting to note that neither of the respondents from the food and beverage sector noted climate change and natural resource constraints as drivers of sustainability, especially considering that this sector is heavily influenced by climate change.…”
Section: Resultssupporting
confidence: 92%
“…This changed significantly from 2011 onwards with environmental risks including that of biodiversity loss, rising greenhouse gas emissions and climatological catastrophes emerged within the top 5 global risks in terms of their likelihood and impact (WEF, 2014). The physical effects of climate change – changes in temperature and weather, water availability and other changes – have the ability to significantly affect business processes, fixed assets such as buildings and resource availability (Sussman and Freed, 2008; Kang and Park, 2018). However, recent research emphasis that business has repeatedly been criticised for its lack of engagement with environmental risks relating to climate change as a pressing issue and adaptation to the physical impacts of climate change in particular (Linnenluecke et al , 2013).…”
Section: Resultsmentioning
confidence: 99%
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“…Common methods include text mining [141], natural language processing (NLP), reinforcement learning and classification. Their application to newspaper archives and information in the context of climatic issues is demonstrated by Yzaguirre, Smit and Warren [142] with their impressive analysis of over two million articles, and Kang and Park [143] using Korean newspapers.…”
Section: A Global Picture: the Help Of The Webmentioning
confidence: 99%
“…Common methods from the field of machine learning include classification, thematic clustering, Natural Language Processing (NLP), vectorization and neural networks or even reinforcement learning (LeCuan et al 1998, Kohonen 2001, Mahdisoltani et al 2013, Schmidhuber 2015, Mikolov et al 2013. Their application to newspaper archives and information in the context of climatic issues has for example been demonstrated by Yzaguirre et al (2016) with their impressive analysis of over 2 million articles, and Kang and Park (2018) using Korean newspapers. Kim and Kang (2018) exemplified keyword generation via word vectorization.…”
Section: Introductionmentioning
confidence: 99%