This study aims to identify factors affecting the acceptance intention of cultivating a new Italian ryegrass(IRG) variety using partial least square structural equation modeling(PLS-SEM) and find priority to maximize the acceptance intention of new IRG variety using importance-performance matrix analysis(IPMA). The data were collected on a seven-point Likert-type from 188 farm households located in Korea central region for two months. As a major result of PLS-SEM, expected effect significantly affected acceptance intention. The IPMA also showed expected effect should be considered as the most important factor to improve the acceptance intention. This study suggested the new technology distributors should scientifically prove and actively promote the effects such as increase in farm income, productivity improvement, labor saving and management efficiency caused by planting new IRG variety.

This study attempted to classify the residents of rural area into some groups according to the level of their community satisfaction by decision tree model. The variable that has the greatest influence on grouping rural residents according to community satisfaction is income. However, it appears that the variable of participating in the community activities can weaken their influences. The second most satisfying group is the group of people who are lower-income and active in community activities. On the other hand, the group of people who are high-income and inactive in community activities are included to unsatisfying groups. These findings suggest that community participation can be a major factor in enhancing the quality of life of residents in the rural communities. What is noteworthy is that marital status is used as a major variable to classify the rural residents into some groups according to the level of community satisfaction. This suggests that the issue of marriage is still a major problem in rural communities.

This is a case study on "the Project for Production Facility and Technical Support of Processed Seed-Potato (2008-2010)" based on the Value Chain Analysis (VCA) used to create and plan International development cooperation projects. The project is the earliest model of Creating Shared Value (CSV) in the agricultural sector. For the case analysis, a framework was established to assess the effectiveness and impact of the CSV project based on the main factors of the VCA. As a result of the assessment, project participation by OSI was able to increase the overall utility by developing the Vietnamese potato processing industry and meeting consumer demand. Furthermore, it formed a business model to promote win-win cooperation and upgraded the value chain of the potato industry. In addition, it contributed to the improvement of incomes and the quality of life of farmers and communities by providing technical guidance and purchase of contracts, as well as labor division and cooperation with other activity supporters.

This study analyzed the selection factors for cultivation practices in paddy rice farming. For the study, conjoint model with part-worth utility was adopted, where model profiles included three attributes of yield, production cost, and cultivation difficulties and two levels for each attribute. The value of each level was set up with experimental data obtained from National Institute of Crop Science. Ninety three rice farmers, who joined Korea Rural Economic Institute as farmer correspondences, were surveyed through internet with the profiles selected by factorial design. Result showed that rice farmers considered cultivation difficulties as the most important selection factor to adopt new cultivation practices followed by production cost and yield in consecutive order. This results were robust in spite of past experiences with new practices, willingness to adopt new practices in the future, imitative nature and government interventions.