The purpose of this study is to define destination social responsibility as a multidimensional construct and examine the relationships between destination social responsibility, tourists’ emotions and their satisfaction, through the lens of corporate social responsibility. A model is empirically tested with a sample of 359 random foreign tourists visiting Hoi An, Vietnam. The results indicate that all destination social responsibility dimensions, including economic, environmental, legal–ethical, and philanthropic responsibilities significantly enhance tourists’ emotions, while only legal–ethical and philanthropic responsibilities directly affect tourists’ satisfaction. The findings also confirm the mediating effect of emotions between destination social responsibility and tourists’ overall satisfaction.

The purpose of this study is to define destination social responsibility as a multidimensional construct and examine the relationships among DSR, tourists’ emotions, and their satisfaction through the lens of corporate social responsibility. A model was empirically tested with a sample of 359 random foreign tourists caught in Hoi An, Vietnam. The results indicate that all DSR dimensions, including economic, environmental, legal-ethical, and philanthropic responsibilities significantly enhance tourists’ emotions while only legal-ethical and philanthropic responsibilities directly affect tourists’ satisfaction. The findings also confirm the mediating effect of emotions between destination social responsibility and tourists’ overall satisfaction.

When predicting the health impacts of PM_2.5 from future air quality changes, it is crucial to consider both air quality improvements and population aging. This study divided future emission scenarios into a base and control scenario to project air quality from 2015 to 2030 and assess health outcomes. The GUIDE model, an Integrated Assessment Model (IAM), was used to estimate future emissions, while the CMAQ (Chemical Transport Model) and BenMAP (Health Impact Model) evaluated health impacts resulting from changes in air quality in Korea. The study focused on the impact of population aging on future health outcomes. Both scenarios showed improved PM_2.5 concentrations, with the control scenario showing more substantial improvements due to stronger policy measures. When applying current age patterns, health impacts decreased as PM_2.5 concentrations decreased. However, when considering future population aging, health impacts increased despite improved air quality. The results excluding aging show that the number of premature deaths due to cardiovascular disease and all other causes caused by PM_2.5 is 18,413 in the base year, while in the future control scenario, the number decreases to 11,729. In contrast, when aging is taken into account, the number of premature deaths increases to 23,037. This finding suggests that, although PM_2.5 concentrations are expected to decline, the increasing proportion of elderly individuals will exacerbate health risks. Therefore, accounting for aging population trends is essential when studying the health impacts of future air quality changes.

This paper estimates the Republic of Korea’s marginal abatement cost (MAC) of GHGs emissions for industry, buildings and agriculture sectors by implementing a three-stage linear-logit framework that links disaggregated petroleum-product choices to economy-wide factor substitution (Labor, Capital, Energy). Using annual national data (1991–2020) and an iterative nonlinear SUR estimator, we derive own- and cross-price elasticities and simulate incremental carbon-price scenarios to construct MAC curves. Our results indicate that a carbon price of approximately 50,000 KRW per tCO₂eq (about $36) induces a 19.9% emissions reduction, closely aligning with the sectoral 2030 Nationally Determined Contribution (NDC) target of 20.8%. The findings provide an empirically grounded benchmark for the Republic of Korea’s carbon-pricing policy and highlight areas where complementary measures are required.