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논문 기본 정보

자료유형
학술저널
저자정보
윤진우 (농촌진흥청) 채용우 (농촌진흥청 농산업경영과)
저널정보
한국식품유통학회 식품유통연구 식품유통연구 제35권 제3호
발행연도
2018.1
수록면
47 - 64 (18page)

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The necessity of economic analysis has been increasing in agricultural R&D to make the connection high between R&D and farm incomes as the opening of the agricultural market continues to accelerate such as FTA. The purpose of this study is to derive the priorities of Request for proposals(RFP) are scheduled to be implemented by the Rural Development Administration in 2018 and to suggest implications. For this purpose, Analytic Hierarchy Process(AHP) was used as an analysis method. We organized Internal and external evaluation committees for the AHP analysis of a total of 84 projects on applied and developmental researches:30 in fundamental field, 10 in crop field, 26 in horticultural field, and 18 in livestock field. We set 3 upper evaluation criteria as Marketability, productivity, and ripple effect. 3 lower-criteria of each as for marketability ①ease of market entry, ②possibility of commercialization, ③potential growth of the market;for productivity ①quantity increase, ②quality improvement, ③cost reduction;and for ripple effect ①possibility of technology expansion, ②sustainability of technology life, ③ease of skill acquisition. We found the following projects are given priority. first, it is focused on the eco-friendly agriculture, the labor reduction by mechanization, and the smart agricultural technology in the fundamental R&D. second, focused on the development of alternative crops facing the oversupply of rice and domestic supply expansion of crops which are highly dependent on imports in the crop R&D. third, focused on responding to the latest trends in consumption and on pioneering new markets such as export market in horticultural R&D. fourth, focused on feeding management to reduce production costs, technology of high quality meat production for consumers preferences, recycling of livestock excretions into resources, and responding livestock diseases in the livestock R&D. Therefore, these results might more contribute to improving the connection between R&D and farm income if the projects driven from our analysis are invested and managed by priority.

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