This study aimed to apply a methodological approach, 'social network analysis' to a case study for the understanding of relational structure among stakeholders related to green tourism development. By doing so, this study argued that it is important to identify stakeholder's network structure to help green tourism planners develop collaborative relationship among stakeholders. This study identified the stakeholders regarding a community-based festival development in the southern area of Korea, and investigated two types of networks among them: decision-making power relational and intimate network. Interviewer-administrated survey and in-depth interview were employed for data collection. The data was analyzed by SPSS (version 10.0) and Net-MinerII (version 2.5.0), and by constant comparison method. The result revealed that low different groups of the stakeholders were separated in the intimate networt and that the festival organizational body was not connected with other stakeholders in the decision-making power relational network. The existence of separated groups and weak relationship among the stakeholders appeared to relate to age-group differences, and different views on the festival between the stakeholders.

The objectives of the study are to improve techniques for social impact assessment and to suggest their measuring methods to apply in small scale rural development projects. Population, residence, industries, and traffic volumes were selected to measure the social and economic impact assessment of Seongeup agricultural water development project in Jeju Province. Existing data gathering methods were used to estimate the changes of population and traffic volumes. Interview schedule for villagers was applied to estimate the residents' satisfaction to living environments. Interview schedule for experts was applied to estimate agricultural productivity and land price. The results of social and economic impact assessment show that there will be considerable changes in living environments, agricultural productivity, and land price. On the contrary, the project will make little impacts on the changes of population, em-ployment, and traffic volumes.