This study addresses the limited nationwide examination of Mountain Villages as strategic targets for regional revitalization amid rapid depopulation and population aging. Focusing on Mountain Villages located within Depopulation Regions in the Republic of Korea, this study quantitatively assessed workation suitability at the Eup-Myeon-Dong level and identified priority areas and differentiated policy directions. A workation suitability index was calculated using the CRITIC (Criteria Importance Through Intercriteria Correlation) method, and spatial clustering and potential–demand characteristics were examined through LISA (Local Indicators of Spatial Association) and quadrant analysis. The results showed that transportation accessibility indicators, including travel time to expressway interchanges and railway stations, had high information content in differentiating workation suitability among Mountain Villages. Suitability was high in the border areas between Gyeonggi-do and Gangwon State and parts of the central inland region, whereas low suitability was observed in northern Gangwon State and northern Gyeongsangbuk-do. High–High clusters tended to overlap with high-potential and high-demand areas, while Low–Low clusters were mainly associated with low-potential areas. By integrating suitability, spatial clustering, and demand conditions, this study provides an empirical framework for spatial decision-making. The findings suggest that workation policies for Mountain Villages should distinguish priority implementation areas from foundation-building areas according to accessibility, infrastructure, and demand levels.

Following successful national forest restoration projects, South Korea has designated and operates Leading Forest Management Zones (LFMZs) to improve forest quality and promote sustainable use. The objective of this study is to comparatively evaluate the operational characteristics of 26 LFMZs (5 national and 21 private forests) based on complete long-term data from 2013 to 2024 and to identify ownership-based structural differences in integrated forest management performance. Five core indicators representing the forest management cycle (afforestation, timber harvest, forest products, forest roads, and forest tending) were analyzed using multivariate statistical methods. Permutational Multivariate Analysis of Variance (PERMANOVA) results revealed statistically significant structural differences between national and private forest management systems (F = 13.22, p = 0.001, R² = 0.47). Non-metric multidimensional scaling (NMDS) identified forest road development and timber harvest intensity as the primary drivers of these differences. National forest LFMZs exhibited consistently higher and more balanced management intensity across all indicators, supported by stable institutional frameworks and professional management capacity. In contrast, private forest LFMZs showed substantial variability in performance, reflecting differences in ownership structure and regional conditions. Correlation analysis further demonstrated strong positive relationships among afforestation, forest tending, forest road development, and timber harvest, underscoring the importance of integrated forest management. These findings provide empirical evidence to support differentiated, ownership-sensitive forest management strategies and contribute to strengthening sustainable forest governance in South Korea under climate change and socio-economic transitions.