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
- 연구보고서
- 저자정보
- 발행연도
- 2011.11
- 수록면
- 1 - 103 (103page)
이용수
초록· 키워드
오류제보하기
The main purposes of this study are to build a decision-making support system of local rural self-government by using a revised model of KREI-REMO 2010 and to link the REMO with Rural Development Support System (KREI-RDSS).
As the local self-government’s authority has expanded, they need a policy simulation model on rational decision-making to achieve their goals. To match their needs, KREI developed KREI-REMO in 2010. However, KREI-REMO 2010 was the first-stage project of the local self-government’s decision-making supporting system, and there were some limitations such as lack of important data and the difficulty of subdividing districts.
In KREI-REMO 2011, we first divided the local district into 6 sectors rather than 3 as in KREI-REMO 2010. Each sector is then classified by population, employment, industrial production and local government finance, and each one of them is estimated by panel analysis. We predicted the 10-year baseline of each local area with the model. By doing so, KREI-REMO can perform economic and policy simulation under various conditions. Especially in the prediction of population at the local area level, we developed migration functions based on various migration theories including the gravity theory through a cohort model.
We also tried to link KREI-REMO with Rural Development Support System (KREI-RDSS) to meet the purpose of this study, which is to build a decision-making support system of local rural self-government. Lastly, we illustrated the practical use of a user interface system as well.
As the local self-government’s authority has expanded, they need a policy simulation model on rational decision-making to achieve their goals. To match their needs, KREI developed KREI-REMO in 2010. However, KREI-REMO 2010 was the first-stage project of the local self-government’s decision-making supporting system, and there were some limitations such as lack of important data and the difficulty of subdividing districts.
In KREI-REMO 2011, we first divided the local district into 6 sectors rather than 3 as in KREI-REMO 2010. Each sector is then classified by population, employment, industrial production and local government finance, and each one of them is estimated by panel analysis. We predicted the 10-year baseline of each local area with the model. By doing so, KREI-REMO can perform economic and policy simulation under various conditions. Especially in the prediction of population at the local area level, we developed migration functions based on various migration theories including the gravity theory through a cohort model.
We also tried to link KREI-REMO with Rural Development Support System (KREI-RDSS) to meet the purpose of this study, which is to build a decision-making support system of local rural self-government. Lastly, we illustrated the practical use of a user interface system as well.
목차
[표지]
[머리말]
[요약]
[ABSTRACT]
[차례]
표차례
그림차례
[제1장 서론]
1. 연구 필요성
2. 연구 목적 및 내용
[제2장 지역경제모형 관련 이론 및 선행 사례]
1. 모형 관련 이론
2. 모형 관련 이론 및 선행 사례의 시사점
3. 인구이동 이론
[제3장 KREI-REMO의 구축]
1. 대상지역
2. 모형의 종류
3. 모형의 구조
4. 모형의 추정
[제4장 모형의 유용성과 발전 방안]
1. 모형의 유용성
2. KREI-RDSS에서의 KREI-REMO의 활용 및 향후 발전방향
[부록]
[참고문헌]
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2015-520-002536865