인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 522 - 544 (23page)
이용수
초록· 키워드
This study selected financial indices from manufacturing industry and agricultural industry and produced their values that could be applied to agricultural accounting data in Korea. In addition, we classified farming types of rice farm based on the financial indices to suggest farm specific consulting. For the study, data from farm economy survey and agricultural production cost were used. Factor analysis and cluster analysis were applied to classify farming types. Results showed that thirteen financial indices were available within liquidity, solvency, profitability, efficiency and growth and their values specific to rice farming were calculated. Thirteen financial indices were condensed to three factors with high profitability, low return on assets/or equity and low rate of growth, and high return on asset/or equity and low liquidity and solvency. Four farming types were derived from three factors. The characteristics of four farming types with financial indices and socioeconomic data were described and some consulting suggestions for farm improvement in each farming type were suggested.
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