The purpose of this study is to develop promotion strategies for revitalizing mountain eco-villages through social economic support. In order to fulfill this purpose, this study analyzed operation conditions, income creation structures of 240 mountain eco-villages formed by Korea Forest Service, and reviewed systems for social economic support. As summarized in research outputs, this study confirmed that the activities of organizations for joint projects had not been properly implemented due to the absence of supporting systems following the construction of mountain eco-villages. In addition, 159 villages formed as experience villages could not be qualified for enterprise systems due to aging population and absence of network systems. As for income creation, as indicated by comparing net incomes for joint projects calculated based on the classification of village management evaluation, the average net income of 51 highly-rated villages was 22 million Won and that of 128 moderately-rated villages was 3.5 million Won. Experience-based projects and the sales of processed forestry products made by young adult associations or women's societies were major sources of income, and the absence of inner economic bases or villages' jobs caused young adults and returned farmers to focus on working for outside economic activities. Finally, this study developed strategies for mountain eco-village's social economic promotion and suggested four stages of social economic revitalization provisions.

This study analyzed settlement motivation, life satisfaction factors, policy requirement targeting return farmers on mountain village. 8 target villages where return farmers live at least 10 people were selected according as cooperation of the local governments through literature by considering the area of the whole country. The return farmers in target villages were conducted a face to face survey with village headman's pre-coordination from February to September 2013. A total of 94 surveys were performed and 87 copies were used in the analysis. According to the results, the most important factor influenced the decision to be a return farmer was "my family health(3.97)". The correlation analysis was performed to examine factors related with satisfaction of "return farmer life in general". The result showed that "change of physical health" was the most important correlativity with 0.544 correlation coefficient and 0.05 significant level and "family relationship" was followed with 0.424 correlation coefficient and 0.05 significant level. According to the "important factor for the successful return-farmer life", 42.7% of respondents chose "harmonious relationships with local residents" and "stable source of income" was chosen by 29.3% of residents. A questionnaire for the analysis of policy requirements showed that "education system related Forestry(Agriculture)" was the highest demand with 4.oo points. The result can be used as a basis for establishing policies with activation of mountain villages to attract to constantly increasing population of return farmers.