In Korea, the developmental gap is deep between rural and urban areas in spacial aspect and, or between agricultural and industrial side. So there are much room for improvement in agri. development in national standpoint as well as in individual farmer's level. In this respect, agricultural financing is requisitive to speed up the pace of agricultural development and in result, to contribute to improvement of farm income. By the way, farmers' credit demands are always in excess-demand status and they rely on private money-lenders in the burden of high interest rate. In agricultural financing market, there are two kinds of credit ; institutional credit and non-institutional credit market, that is private money-lending. In institutional credit, there are mutual credit system operating by the primary coops and policy credit system by NACF financed by Government in part. Here, in this paper, I venture to study on the improvements of the policy credit system to increase and activate the supply function of agri. policy credit into farmers to enhance their socio-economic status.

Degree of difficulty in policy problems depends on a gap between present situation and desiriable situation. It is a international common sense that Agricultural policy is performed on the basis of protectionism, but yet it seems to be a hot issue in Korea, and there are many difficult problems in agricultural policies. Natural of these problems is interdependent. and a more efficient approach to these is to be systematic one. Therefore, in this paper, as a basic study to make more desirable agricultural policy, a basic structure for the systemization of goals or targets of Agricultural policy is studied. Because value judgement is much difficult matter in normative approach, basic goals of agricultural policy used in this study are selected among collective preference indicators which "are being required" or "should be required" clearly in our society (Korea), and the context of recent agricultural policies history in OCED countries is referenced to gain this goals in Agricultural policies.

Main aims of environment-friendly agriculture (EFA) are increasing functions for environmental conservation of agriculture and building consumer confidence for agricultural products safety. The low-pesticide certification will be abolished in 2016, and this will give rise to much confusion to low-pesticide certification producers. The non-pesticide agriculture doesn’t mean organic farming, and the EFA standards of Korea don’t match up to international standards to organic agriculture. The system improvement directions for EFA are to devide into two types of organic farming and EFA, and EFA includes non-pesticide and low-pesticide farming both. These types must have legal grounds respectively.

The present study construct a new technique that can evaluate diverse rural policies, which have been applied to the rural development programs at the village level. The method incorporates spatial econometrics models with a decomposition method that has little been utilized before. We applies the technique to evaluate the rural development programs that have been carried out by the Korea Forest Service and. Korea Rural Development Agency. The technique proved to be quite useful in that the technique efficiently separate the direct effect caused by the government policy from the effect explained by the endowment effect such as regional or area characteristics, and residual effect that cannot be identified by the models. The present study concludes with suggesting more quantitative methods need to be developed to evaluate diverse government policy programs, which enables us to discern correct policy effects.

This study designs an integrated data architecture to systematically manage the agricultural statistics database. Managing the agricultural statistics is important since it provides data for policies and decision making for agribusinesses. Ministry of Agriculture and the National Statistical Office collect the basic agricultural statistic data which provides the basis of logical decision making and agricultural policies. However, the agricultural statistic data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent agricultural statistics system to increase the relevance, accessibility, and efficiency of data for various users. There are massive amount of data accumulated over a long time period. Introducing the new system and reorganizing the data will bear large risks. A systematic method is required to reduce the risks in planing, building, and maintaining the database without hindering administration. This study provides a design of the agricultural statistics system architecture based on the user requirement analysis (URA) and similar systems abroad. We have also build a prototype to check the implementability of the system design.

This study focus on the revitalization of green tourism by the agricultural landscape conservation policy. Today, agricultural landuse for food production is restricted by agricultural products import. In this context, agricultural land use policy should be paradigm shift to the consumers needs which accelerates the green tourism in the rural areas. This research screen the agricultural landscape conservation policy of Japan' system and construct the new policy implementation for agricultural landscape conservation in Korea. For this purpose, agricultural landscape guideline and support system should be established in line with the revitalization of green tourism and agricultural income diversification in the rural areas.

In this study, a model was developed to analyze the capacity and the total price of the agricultural products marketing between nations through the estimation of the production and consumption amount of the agricultural products in each nation and the analysis of the price and transport cost to each nation. The method which can contribute to the agricultural policy decision support was devised. The main concept of the method is to compute the potential import-export amount and total cost among the nations. In the application, wheat was selected to evaluate the model. The application results showed that the model could analyzed the unit consumption and storage amount per capital of each nation and the price and transport cost per unit weight from each export nation, provided the policy decision maker with the basic data analyzed by GIS.