This study aims to analyze the cost of climate change damages to laver and sea mustard aquaculture, which are considered to be highly vulnerable to climate change in Korea. For this purpose, the correlation between aquaculture production and climate factors such as water temperature, salinity, air temperature, and precipitation was estimated using a panel regression model. The SSP scenario was applied to predict the changes in production and damage costs due to changes in future climate factors. As a result of the analysis, laver production is predicted to decrease by 18.0-27.2% in 2050 and 20.6-61.6% in 2100, and damage costs are predicted to increase from 29.7-50.8 billion KRW in 2050 to 35.7-116.1 billion KRW in 2100. Sea mustard production is projected to decrease by 24.5-37.2% in 2050 and 24.0-34.5% in 2100, with similar damage costs of 41.1-61.8 billion KRW and 41.1-58.6 billion KRW, respectively. These damage costs are expected to occur in the short term as damage caused by fishery disasters such as high temperatures, and in the long term as a decrease in production due to changes in aquaculture sites. Therefore, measures such as strengthening the forecasting system to prevent high-temperature damage, developing high-temperature-resistant varieties, and relocating fishing grounds in response to changes in aquaculture sites will be necessary.

We gathered exposure data on indoor air pollution, and investigated the dose-response slope factor for indoor air pollutants, such as volatile organic compounds, aldehydes and radon. Population cancer risks (that is the theoretical cancer deaths) were estimated from exposure to the pollutants. In addition, the damage costs, due to their risks, were estimated using WTP (willingness to pay) and VSL (value of a statistical life), which were investigated by a dichotomous contingent valuation method (DCVM). As a priority for human health risks and damage costs, management strategies are required for both radon and formaldehyde as indoor air pollutants. When the numeric results of human risks and damage costs are applied for other purposes, some assumptions and uncertainties have to be considered to use the results as useful screening tools for the administration of practical risk-based priorities.