The following study has examined possible methodological approach and prospect of implementing storytelling in rural tourism field. It is aimed towards deducing principles of space composition behind securing placeness of rural tourism village through storytelling. The research had been conducted by archival research and case study on field of interest, and its findings are as follows: 1) Storytelling exhibits principles of narrative structure (exposition, complication, climax, and resolution) in various fields, and has shown tendency to structuralize a plot. 2) It can be said that storytelling is deeply related with people's associations of their inner mind. This can be a logical explanation of a certain sight or location, which is a physical environment itself being the actual narrator and distributor in storytelling. 3) In order to convey a story in a more convincing way, storytelling a naming strategy based on a rhetorical technique, which has been shown to positively influence creating unique placeness of a rural village. As indicated in our study, means of storytelling-"Continuity and tourist circulation of space composition with a narrative structure, spatial hierarchical order, concealment and revelation, cast, and naming based on rhetorical technique and facilities positioning"-is a viable solution that can bring recovery of the rural village's unique placeness, as well as spatial development for sustainable rural tourism.

본 연구에서는 ARIMA(Autoregressive Integrated Moving Average) 모델을 이용하여 농촌관광마을의 월별 관광객을 추정하였다. 단일 마을에 대한 시계열 자료를 경상북도 안동시에 위치한 하회마을을 대상으로 구축하였다. 월별 시계열 자료는 2000년부터 2010년까지 구성되었는데(2008년도 누락), 2000년에서 2007년까지 자료는 최적 모델의 도출에 나머지는 예측치의 검정에 사용되었다. 연구 결과 최적모델에 필요한 시계열 자료의 길이는 6년으로 나타났으며, 최적모델은 계절성을 고려한 SARIMA(2,1,1)(1,1,2)12로 나타났다. 최적 시계열 년수로 나타난 6년을 사용하여 2000-2005, 2001-2006, 그리고 2002-2007의 자료로부터 각각 SARIMA(2,1,1)(1,1,2)12를 도출하여, 차기년도들에 대한 예측결과를 비교한 결과, 높은 R2값을 보였다.

This study was performed with 239 dwellers who live in the city, visited rural tourism village. This study investigated the relationship of servicescape perception of rural tourism village and tourist satisfaction and behavior intention. The servicescape factors of rural tourism village consist of artificial factors and social factors. Social factors affect more total satisfaction, service satisfaction and environmental satisfaction more than artificial factors, but facilities satisfaction is more affected by artificial factors than Social factors. Total satisfaction and service satisfaction and environmental satisfaction influence behavior intention but facilities satisfaction does not. Total satisfaction has the biggest influence on behavior intention. This means that for successful rural tourism village development, social factors should be considered than artificial factors.

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%.

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.

The purpose of this study was to document a phenomenon of rural tourism in Korea by Investigating characteristics of 50 villages that had participated in a competition of 'stimulation of rural village' The results are as follows: 1) The degrees of activation of rural tourism varied according to marketing efforts made by individual provincial(local) government. The results of contest indicated that provinces such as Gangwon-do, Chungnam-do, and Gyunggi-do showed highest performance among other competing local governments; 2) The results revealed that the total profit generated from direct sale of farm products outnumbered profits gained from sales of lodging and foods. This indicated that there is a room for improvement with respect to boosting more sales on lodging and food; 3) The regression analysis indicated a significant relationship between profits earned from sales of experiential tourism product and those from direct sale of farm products(multi-correlation coefficient: 0.38); 4) It was identified that Gyunggi and Ganwon provinces were ranked first in sales of foods and those of lodging, respectively; 5) Finally, it was showed that among the 50 participating villages, only 16 ones hold festivals by means of attracting tourists from outside.

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.