- 영문명
- Decomposition of Supply Variability into Yield Effects and Cultivation Area Effects Using a Coefficient of Variation Approach
- 발행기관
- 한국농업경제학회
- 저자명
- 하용현(Yong hyun Ha) 김관수(Kwansoo Kim)
- 간행물 정보
- 『농업경제연구』57권 3호, 37~53쪽, 전체 17쪽
- 주제분류
- 경제경영 > 경제학
- 파일형태
- 발행일자
- 2016.09.30

국문 초록
영문 초록
In this paper, we develop a conceptual model capable of decomposing supply variations into yield effects and cultivation area effects. The dataset includes supply, yield and cultivation area information on Chinese cabbage, highland Chinese cabbage, pepper, garlic, green onion, onion and radish, collected in a Farm Product Survey from the year of 2009 to the year of 2013 by the National Statistical Office. Applying this model to vegetable production data, we found that culti-vation area effects are dominant in explaining vegetable production variations except the case of highland Chinese cabbage. This implies that the production variability of vegetables is mostly af-fected by the cultivated area variability: the size of yield variability in explaining production varia-bility of vegetables is smaller than that of cultivation variability. Moreover, we found that yield effects decreased over time; comparing decomposition results before and after the year of 2000 showed that yield effects in explaining production variation of vegetables decreased for all vegeta-ble products considered except green onion. This implies that the major source of production vari-ability of vegetables has shifted from yield variability to cultivation area variability. However, in recent 5 years (2009-2013), yield effects are found to be getting stronger reflecting climate change (i.e., extreme weather events) effects. This generates important policy implications on taylor-made interventions for production stability of each vegetable given its decomposition results.
목차
Ⅰ. 서론
II. 개념적 분석의 틀
III. 분석자료 및 분석결과
IV. 요약 및 결론
해당간행물 수록 논문
참고문헌
최근 이용한 논문
교보eBook 첫 방문을 환영 합니다!
신규가입 혜택 지급이 완료 되었습니다.
바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!
