본문바로가기 푸터바로가기

한국농촌경제연구원 로고

  1. ENG
  3. 사이트맵 열기

    한국농촌경제연구원 로고

    ENG
    사이트맵 끄기
  4. 메뉴열기
메인으로 이동

농촌경제

농산물 조기예보지수 개발을 위한 위기구간 추정 : 양파를 중심으로

2010.10.01 17170
연구보고서 표지
  • 저자
    김관수, 김정호; 안동환
  • 등록일
    2010.10.01
원문보기
목차

1. 서론
2. 조기예보지수 추정 방법론
3. 조기예보지수의 산출-양파의 사례
4. 요약 및 결론

요약문

The purpose of this paper was to construct an early warning system for major Korean agricultural products given a clear understanding of the patterns of agricultural product prices. An introduction of an early warning system in Korean agriculture is expected to help producers, consumers and policy makers as well in that it will increase the efficiency of a supply-demand stabilization policy of agricultural product prices.
The literature on early warning system usually focuses on the mean of probability distribution and its deviation from the mean in order to identify critical points for constructing relevant stages of early warning: normal, attention, care, warning, and seriousness. In contrast, this paper utilizes the “median” of probability distribution and associated probability density in constructing such a stage. This turns out to be quite appropriate given the asymmetric nature of probability distribution of agricultural product prices. For a case study, this paper uses daily price data for onion for identifying critical points. Specifically, daily prices of 5 recent years are considered. The analysis is done in a monthly base to incorporate seasonality issues in green onion prices.

The purpose of this paper was to construct an early warning system for major Korean agricultural products given a clear understanding of the patterns of agricultural product prices. An introduction of an early warning system in Korean agriculture is expected to help producers, consumers and policy makers as well in that it will increase the efficiency of a supply-demand stabilization policy of agricultural product prices.
The literature on early warning system usually focuses on the mean of probability distribution and its deviation from the mean in order to identify critical points for constructing relevant stages of early warning: normal, attention, care, warning, and seriousness. In contrast, this paper utilizes the “median” of probability distribution and associated probability density in constructing such a stage. This turns out to be quite appropriate given the asymmetric nature of probability distribution of agricultural product prices. For a case study, this paper uses daily price data for onion for identifying critical points. Specifically, daily prices of 5 recent years are considered. The analysis is done in a monthly base to incorporate seasonality issues in green onion prices.

저자정보
김관수Kim, Kwansoo
저자의 다른 보고서
저자에게 문의
김관수Kim, Kwansoo
저자에게 문의

※ 퇴사하신 분이지만 아래의 내용을 입력해 주시면 관리자가 전달해 드리겠습니다.

구매안내

KREI의 출판물은 판매 대행사 (정부간행물판매센터)와 아래 서점에서 구입 하실 수 있습니다.

판매대행사
(주)정부간행물판매센터 http://www.gpcbooks.co.kr
서울특별시 중구태평로 1가 25번지
TEL02)394-0337, 734-6818 FAX 02) 394-0339
판매서점
농촌경제연구원 cctv 설치현황
교보문고 http://www.kyobobook.co.kr
영풍문고 http://www.ypbooks.co.kr
알라딘 http://www.aladin.co.kr
  • 상세정보 조회
    17170
  • 다운로드
    13

같은 분야 보고서

같은 분야 보고서가 없습니다.

목록으로
다음글
한국 산림의 공익적 가치추정 : 선택실험법을 이용하여
이전글
신규 취농 진입장애요인과 영농 성과의 구조적 관계: 창업농과 승계농의 비교