원문정보
A Study of Mathematical Analysis for Social Overhead Capital Improvement Program
초록
영어
This study uses DEA (Data Envelopment Analysis) to calculate the comparative efficiency of SOC (Social Overhead Capital) improvement program in regional development policy. Generally, regional development policy is charged of a large proportion of supply on public investment capitals. Data envelopment analysis is widely used to evaluate how efficiently regional development policy supply the social overhead capital for the regional economics. In this study, the efficiency of social overhead capital is calculated by the linear function of input and output factors. Especially, this study used time series data for input factors from annual reports of social overhead capital.In this study, the existing mathematical analysis methods which are DEA (Data Envelopment Analysis), PFP (Partial Factor Productivity), TFP (Total Factor Productivity), are reviewed and DEA is selected to calculate the efficiency for SOC. Among the regional social overhead capital, trade ports are selected and reviewed for regional development policy, because trade ports are major factor on the SOC of regional development policy. Also, an analysis of slack variables is accomplished as a one of linear program method. The results of this study suggested the input and output factors of slack variable needs to be adjusted to the efficiency between regional development policy and suggested to the investment program for social overhead capital.
목차
1. 서론
2. 사회간접자본의 효율성
2.1 사회간접자본의 효율성
2.2 총요소 생산성 분석과 요소별 생산성 분석
2.3 자료포락 분석
3. 분석 모형
3.1 기본모형
3.2 CCR 모형의 쌍대문제
3.3 BCC 모형
4. 항만의 효율성
4.1 항만 배후단지 건설
4.2 물동량 추이 및 변수 선정
5. 실증분석 결과
5.1 CCR 모형의 분석결과
5.2 BCC 모형의 분석결과
6. 결론
참고문헌