Research Background
Recently various criticisms have been raised on the current system and tools of agriculture policies, and agricultural and rural policies should be established in line with changes in internal and external conditions. From the policy planning and process controlled by the central government, it is necessary to strengthen rationalization according to the characteristics of the region, to promote the data-based policy. There is a need to develop policy support that can cope with these problems and to build an information support system for them.
This research on the construction of the information support system for the agricultural and rural areas provides basic statistics about the changes in the structure of agriculture and provides periodic statistical analysis such as comprehensive analysis and in-depth analysis. These are beyond the scope of how to provide statistics and to publish various kinds of information. The purpose of this study was to promote the utilization of objective information in the process of establishment, promotion and evaluation of agricultural policies.

Methods
In order to analyze the statistics of the agricultural sector, we reviewed the literature and conducted surveys for local government officials. In the literature review, the approved statistics and unapproved statistics in the agricultural sector, the utilization status of statistics, the survey items of statistics, the publication cycle, and the problems in utilization were derived. The survey was conducted for statistical utilization and demand analysis. The result shows the demand for systemization was identified.
We conducted a case study of Japan and Canada that operated information support systems using agricultural statistics, and used it as information for establishing the direction of an information system and setting system components.
In order to analyze the use case of agricultural statistics information, the economic structure of the farm household and indices of the analysis of the local agricultural structure were suggested. As for the farm household economy, the income, consumption and financial structure by farm type were analyzed. On the regional agriculture, comparative analysis of production indices, management indices, production base, environmental indices, and budget structure was conducted.

Research Results and Implications
First, policy decision should secure practical rationality and procedural rationality. Second, policy-making rationality should be guaranteed by establishing data-based scientific policies. Third, it is now necessary to approach the central agricultural policy system considering decentralization in terms of improving the decision-making capacity of local governments.
In order to improve the reliability of local statistics, it is necessary to increase the approved statistics related to agriculture along with reorganization of the classification method to enhance the use of agricultural statistics.
Five basic directions of information systematization for agricultural policy decision making are presented. First, to ensure the logical consistency of policy, the information system needs organic linkage from the viewpoint of planning (plan) - execution (do) - evaluation (see). Second, regional analysis and benchmarking should be possible. Third, statistical techniques and analytical tools should be used to ensure mutual connectivity between data. Fourth, it is necessary to standardize data which is the core of the information system. Finally, it should be a system considering users' convenience.
This study presents a yearly research roadmap for the five-year study. The roadmap proposed in this study needs to be revised and supplemented in consideration of the following points. First, local government officials' demand for the information support system needs to be considered, and the general public should also be able to use this system. Second, the system developers should have the capacity to integrate, analyze and operate related information. Third, it is needed to build the system by closely identifying demand through the establishment and evaluation of the agricultural policies using the statistical information in cooperation with local governments.

Researchers: Park Joonkee, Kim Meebok, Kim Taehun, Lee Douyoung, Park Jiyeon
Research period: 2018. 1. ~ 2018. 12.
Email address: jkpark@krei.re.kr