Settlement problems in rural area are gradually becoming more intense due to decreasing agricultural income led by market globalization. Rural tourism is considered as one of alternatives for complementing agricultural income. In this study, we analyzed the relation of rural development project and the influx of population on green tourism villages. Results show that the influx of population in rural area is related with project cost, tourism income, visiting numbers, and ratio of labor population. With these results, we modified rural population model for estimating future rural population. Adapted result to Buraemi village by modified model showed that estimation error can be decreased from 7.23% to 0.95%.

The purpose of this study is to analyze the problems of operating the Direct Payment Program for Rural Landscape Preservation and to derive the way of improvement based on case study for three areas in Bonghwa-gun, Cheongwon-gun, Hongseong-gun. The most important factor for the program is farmer's consciousness and positive participation of the farmer who are the subject of this project. Even if farmers are not satisfied with the amount of direct payment income, they try to create income by utilizing landscape preservation crops. Particularly current unit payment dose not surpass the for the crops farm operating costs and payment time is not appropriate for the farming cycle. Hence, it needs to be considered increasing unit payment and rearranging the payment time. Also, we need to introduce incentive system based the degree of fulfillment of the Direct Payment Program in each areas. In general the Direct Payment Program for Rural Landscape Preservation has potentiality to contribute farmer's income stability and the vitalization of region with three revisions.

In this study, We developed an evaluation system for the interim check of Integrated Rural Village Development Project and analyzed its applicability to an actual evaluation process through a pilot evaluation on regions selected. The evaluation system consists of documentary assessments(30%) and field inspections(70%). The documentary assessments are quantitative assessments on check-lists reports by self-evaluation prepared by local governments. The field inspections are qualitative assessments by evaluation teams. Sixteen evaluation indices were developed for documentary assessments and seven criteria were designed for field inspections. For a pilot evaluation, one region in each province excluding Jeju Do, eight regions was selected and the field inspections due to circumstances was proceeded in two regions. The results of documentary assessments indicate that most of regions are evaluated low in project performance attributable to the delay in security for sites. In the field inspections, it appears that most of the regions evaluated high at the documentary assessments got a high point from them. They also show that coordination of action plans, rather than quantitative achievements, is a base determining success of the projects.

Recently, Owing to booming of leisure activities and national enforcement of 5-day workweek system, Korean government has been promoting rural tourism policy of which operating project's title is Green Rural Experience Village, Rural Traditional Theme Village, etc. In this study, ken investigation result on Green Rural Experience Village sites, an estimation model of returns by green-tourism activities was developed. The model was constructed through factor analysis and regression analysis method. Regression model developed can estimate green-tourism revenue by investment budget, homepage preengagement sales, homepage visitors, capacity of eating and drinking facilities, capacity of lodging facilities. The model developed was applied in sample villages. With these results, estimation revenue was recorded average 138.3% of survey revenue, and statistical significance was good(correlation coefficient R2 = 0.8255, level of significance : 0.000), and the range of relative error was recorded largely from -7.1% to 158.6%, and average relative error was 38.3% and good. And, the model developed in this study have the critical point in aspects of insufficient data, but the results will be used in green-tourism policies and projects, and revenue estimation about each village in the present and future is limited, but in province or the whole country the application is good.

Recently, increases of leisure activities and 5-day workweek system enforce government employ rural tourism policy and projects. Operating projects are Green Rural Experience Village, Rural Tradition Theme Village, etc. In this study under investigation of Green Rural Experience Village site, Green-Tourism performance indicators were developed. Green-Tourism performance indicators of rural village were developed by BSC(balanced scorecard) and AHP(Analytic hierarchy process). Four perspective of BSC are divided into financial perspective, customer, internal-business process, and teaming and growth perspectives. To develop green-tourism performance indicators of rural village, low perspectives of BSC are converted into investment effect, visitor, internal process, and village inhabitants perspectives. By these perspectives, green-tourism performance indicators of rural village were developed. Weighting values on importance were calculated by AHP. Performance indicators developed in this study applied in 12 villages. With the result, generally well-known villages gained high score, and in accord with survey content.

The study was performed to establish a criteria which can be served as a reference in preparing upland direct payment program in Korea, by analyzing WTO agreement content and by studying about direct payment program in EU and Japan and by slope analysis using GIS. Slope analysis using GIS was operated by 1/5000 digital map, and a field survey was put in practice, and merits and demerits were deduced. We can propose a criteria to select the disadvantaged areas in aspects of physical condition, farming condition. and economical and social condition is important to regionally classify "less-favored area(LFA)" and LFA division by economical and social condition is needed to identify legally. Therefore, we would propose a criteria which can select "less-favored area" by analyzing WTO agreement content and by studying about direct payment program in EU and Japan and slope analysis using GIS and a field survey.