In 2013, the Chinese government formulated the "Action Plan for Green Building ", which focuses on the task clearly should actively promote the construction of rural housing. In this paper, for the question about how to promote the cold region of China rural house green, put forward to improve the quality of residential priority, to save energy resources as the most important,and to use pervasive technology-based applications as the main content,which is basic principles.The paper also proposed four technical strategies for a new house on the village is to use local natural resources, to optimize the design to improve the quality of living,to reduce shape coefficient to adjust the layout,to improve the insulation properties of architecture maintenance in structure increases.And with the above principles and technology strategies,I design a green rural house which reflect on the characteristics of cold region.

With the rapid development of the rural economy and vigorous promotion of energy-saving technologies, it is found through a field investigation that the new rural housing in the northeast of China shows new changes on green, energy-efficiency, health, comfort and beauty. The new rural housing mainly applied the technologies of composite energy-saving wall, double or three layers of glass energy saving windows and the roof benzene board insulation, heated in winter by Kang with the fuel of straw, corn stalks and other bio energy, which brings prominent energy-saving effect and the improved indoor environment significantly. The only or main function of the Kang is no longer the heating facilities in winter, but to play its unique benefits of comfort and health for sleep as a bed. the highlights of cultural traditions and customs in Cold rural area, the changes of the Kang are smaller and more exquisite. In the future, northeast rural housing should integrate the technolgies of residential structures, materials and kang further to promote rural sustainable development of society, economy.

With the rapid development of the rural economy and vigorous promotion of energy-saving technologies, it is found through a field investigation that the new rural housing in the northeast of China shows new changes on green, energy-efficiency, health, comfort and beauty. The new rural housing mainly applied the technologies of composite energy-saving wall, double or three layers of glass energy saving windows and the roof benzene board insulation，heated in winter by Kang with the fuel of straw, corn stalks and other bio energy, which brings prominent energy-saving effect and the improved indoor environment significantly. The only or main function of the Kang is no longer the heating facilities in winter, but to play its unique benefits of comfort and health for sleep as a bed. the highlights of cultural traditions and customs in Cold rural area, the changes of the Kang are smaller and more exquisite. In the future, northeast rural housing should integrate the technolgies of residential structures, materials and kang further to promote rural sustainable development of society, economy.

As government and local governments are working on the various project about rural experience tourism village in these days, many rural villages are planned and developed, and try to come up to visitor’s demand. Not only quantitative growth by village development but also importance of programs operated by the rural villages are emphasized, therefore it needs to compare and analyze the activity programs about rural experience tourism village in rural community building business by season, characteristics of villages, and overall. Moreover, it has to try to suggest a basic direction of improvement about rural community building business. The site of researches are 15 villages that include 5 green rural tourism villages, 5 rural traditional theme villages, and 5 unique villages that are recent project. The result of research is that similar projects are operated and hard to find characteristic of seasonal programs in existing management business. On the other hand, the programs of recent management business operates not only the former program but also big and activity program using the village’s resources and characteristic.

This study aims to assess Green-Tourism accessibility of Rural Experience Village and then prepare improvement methods. To do this study, we surveyed 25 operators of Rural Experience Village in Chungbuk. We used 21 issues in all for analysis and the following shows a summary of major results. Rural Experience Village has a generally hard time conducting facility maintenance. Countermeasures for maintenance are required to run smoothly. Since Rural Experience Village has difficulty attracting visitors to the village, countermeasures are needed to attract visitors through business promotion. The results of assessing Green- Tourism accessibility showed us that some villages are a lot more accessible than others. Therefore, it is necessary that there should be improvements of Green -Tourism accessibility by attracting visitors and increasing operating days so that Green-tourism accessibility can be enhanced. In spite of its high level of accessibility since Rural Experience Village belonging to Goesan has low profitability, it is especially imperative that we establish more positive project promotion to cover it.

The composition of rural Green Village requires higher utilization of renewable energy in those selected rural villages. The purpose of this study is to select the best results of rural green villages when using photovoltaic power system(PV system). 10 different rural villages in Chubumyeon, Keumsan, Chungnam province, were selected as study villages. This study shows measured solar radiation data, a 20-year time series data, and GIS spatial analysis; and whose were used to predict the photovoltaic power generation. PV system is used as a form with capacity of 3kWp to use for personal and public houses. Generation data was calculated by the town, where the economics of the Green Village location analysis was performed; and the solar radiation's correction factor was calculated by the 20-year time series data and measured data by study villages. By applying to the data of DEM, slope and aspect of the study villages were found, therefore performed. Spatial analysis tools were performed by using solar radiation map's tools. Those data found were used to calculate the average needed energy every months. When used the properly calculated data, towns performed economical energy consumption in rural Green Village. Every study villages have showed very high potential for PV system. Sungdangri ranked at the first (7,401kWp/year), Jangdaeri follows behind to the second (7,203kWp/year) and Yogwangri at third (7,89kWp/year) which shows higher developed energy than other study villages. The areas covered of these three towns are as follows: Sungdangri at 33,300㎡, Jangdaeri covers 18,000㎡ and Yogwangri shows 46,800㎡. With these results, analyzing the potentials using GIS spatial analysis before installation of PV system was possible. Also different villages and topography in study villages have showed various results by the area. For convenience and to shorten research time, it is possible and enough to use solar radiation tools when studying spatial analysis of solar radiation.

Since 2010, RDA has discovered 30 Green-Road as the way of developing rural area. However, results from conference with expert and village leaders of Green-Road concluded that there were problems such as little financial benefits due to mismanagement and needs of improving the efficiency of management. In order to respond to these issues, this research has conducted empirical investigation about the status, management of Green-Road and its influences on local area. Main purposes of this investigation was to reveal the various obstacles in road management, and to find better ways of road management. To accomplish the goal of research, this study conducted survey and interviews with leaders in villages. Particularly, the investigation had focused on the specific management issues suggested by village leaders. Based on the results, this research suggested establishing a committee for creating leaders network and developing effective management method in order to improve road management and its consequences.

This study aims to perform the economic analysis to the use of solar power facilities in rural villages considering the climate change scenario. IPCC climate change scenarios in the recently adopted the RCP scenarios (RCP8.5, RCP6.5, RCP4.5, RCP2.6) was used. By RCP scenarios, solar radiation, depending on the scenario in 2100, respectively, 3.6%, 2.5%, 1.9%, 1.1% was assumed to increase. From the economic analysis(payback period is 25 year) on 8 points of each province, in all cases of normal data and four RCP scenarios, at all points analyzed were NPV indicate a negative, BC ratio less than 1.0, respectively. In the case of Mokpo, Chunnam RCP8.5, BC ratio were found to be up to a 0.92, followed by 0.89 in the case of RCP8.5 in Jinju, Kyungnam shows, while the minimum was in Jeju. BC ratio is 1.0 or bigger, in order for the normal solar radiation data in Mokpo, Chonnam was the minimum that it takes 37 years. Similarly, in the case of RCP scenarios, 30 years in Mokpo, Chonnam RCP8.5 and 31 years in the cases of Jinju, Kyungnam and Jeonju, Cheonbuk RCP8.5 were analyzed. It was analyzed that RCP8.5 has the highest value. BC analysis models for each of the factors, the results of the sensitivity analysis, the initial installation costs, electricity sales price, discount rate in the order of economy showed higher sensitivity, and the rest factors showed lower changes. Although there are some differences of solar radiation by region, but in Korea most facilities in rural areas, the use of solar power was considered to be economical enough, considering change of several factors with high sensitivity, such as increasing of government subsidies for the solar power installation of the facility, rising oil prices due to a rise in electricity sales price, and a change in discount rate. In particular, when considering climate change scenarios, the use of solar energy for rural areas of the judgment that there was more economical.

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.

Wind energy, which is one of renewable energy, would be useful resources that can be applied to making energy recycling villages without using fossil fuels. This study analyzed energy potential on wind power considering weather condition in three rural villages and compared with energy consumption surveyed. A wind turbine system in the 5kW class can generate 26.1%, 73.9% and 39.5% of the yearly mean consumption of electric power per house in Makhyun, Boojang and Soso respectively. A 750kW wind turbine system can generate 1.7%, 30.3% and 22.1% of the total amount of electric power consumption in three study villages respectively. Wind power energy density was too low in Makhyun and Soso, so it is determined that the application of wind turbine system is almost impossible. Wind energy potential was generally low in Boojang either, but it is evaluated that there is a little possibility of wind power generation relatively. For practical application of renewable energy to rural green-village planning, assessment of energy potential for the local area should be preceded.

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.