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Exploring the Spatial Distribution of Occupations Vulnerable to Climate Change in Korea

doi: 10.3390/su8010034
This article aims to identify occupations at risk of climate change, and explore their spatial distribution by investigating their spatial concentration and cluster patterns in Korea. In order to identify professions vulnerable to climate change, we used three criteria: (1) exposure to the risks of job activities; (2) sensitivity to work environments; and (3) adaptive capacities based on the socioeconomic conditions of a person’s occupation. We identified 26 vocations as vulnerable, which corresponds to 16.5% of the total number of careers. Then, we used exploratory spatial data analysis (ESDA) techniques to examine the spatial distribution of jobs at risk of climate change effects. Endangered occupations show the extremely uneven spatial distributions across regions, indicating that there is a wide range of values for the proportion of endangered occupations across regions. The regions with high proportions of professions in jeopardy show clear spatial clustering based on the large geographic belt from the southwest to the northeast. Our results suggest that policymakers should consider the specific geographies of vulnerable occupations. The current work provides helpful hints on regional policy coordination to promote a virtuous circle of sustainable regional development.
- Korea Environment Institute Korea (Republic of)
- Georgia Institute of Technology United States
- Yonsei University Korea (Republic of)
- Yonsei University Korea (Republic of)
- Georgia Institute of Technology United States
climate change; vulnerable occupations; exploratory spatial data analysis (ESDA), Environmental effects of industries and plants, vulnerable occupations, TJ807-830, TD194-195, exploratory spatial data analysis (ESDA), Renewable energy sources, Environmental sciences, climate change, GE1-350, climate change; vulnerable occupations; exploratory spatial dataanalysis (ESDA)
climate change; vulnerable occupations; exploratory spatial data analysis (ESDA), Environmental effects of industries and plants, vulnerable occupations, TJ807-830, TD194-195, exploratory spatial data analysis (ESDA), Renewable energy sources, Environmental sciences, climate change, GE1-350, climate change; vulnerable occupations; exploratory spatial dataanalysis (ESDA)
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