• Journal of Korea Water Resources Association
• /
• v.47 no.2
• /
• pp.95-106
• /
• 2014

This paper analyses the economic effects of the water industry on the Korean economy by using Social Accounting Matrix (SAM). The SAM is constructed based on the Input-Output table, National account and Family income and expenditure survey for Korea in 2009. Through the SAM multiplier analysis, I estimate the effects of water investment. As the results, this study has found the followings. i) output multiplier effects of water sector are 5.300~7.741, ii) value added multiplier effects of water sector are 0.685~1.158, iii) income multiplier effects of water sector are 0.511~0.984, iv) redistributed income multiplier effects of water sector are -0.096~0.247. The results indicate that a significant influence on the industrial production and the household income in Korea.

• Environmental and Resource Economics Review
• /
• v.5 no.1
• /
• pp.113-136
• /
• 1995

자원 및 환경이 경제에 미치는 영향이 큼에도 불구하고 경제-환경의 상관관계를 분석하는 방법은 아직 초보 단계에 있다. 본 연구에서는 UN, 세계은행, 멕시코 정부가 구축한 환경계정(環境計定)을 한 국가의 경제상태를 사회계정에 도입한 후, 환경(環境)-사회계정(社會計定)(ESAM) 행렬을 구축하고, Pyatt와 Round의 분할 행렬 방법에 의해서 직 간접 파급승수 효과를 측정하여, 환경관련 외생변수가 경제변수에 미치는 효과를 분석하였다. 분할 행렬 분석 결과, 농업관련 외생변수에 변화가 있으면 제조업 부문과 상업부문, 민간 서비스부문(금융, 보험, 부동산)이 가장 크게 영향을 받는 것으로 나타났다. 또한 레온티에프의 승수효과와 유사한 전이효과(轉移效果)는 순수한 간접효과인 순환효과의 상쇄로 인해 기존의 산업 연관분석에 의존한 분석은 경제와 환경의 관계를 과대추정할 수 도 있다는 것이다. 자본 투자가 5% 감소할 경우, 경제 전 부문에 상당한 영향을 준 것으로 나타났으며 생산부문에서는 임업, 건설업이 가장 영향을 받으며, 환경부문에서는 토양의 침식으로 인한 환경서비스의 감소가 가장 크게 영향을 받는 것으로 추정되었고 수산자원 또한 많은 영향을 받는 것으로 나타났다.

• Science & Technology Policy
• /
• v.16 no.1 s.157
• /
• pp.90-100
• /
• 2006

• Journal of Environmental Policy
• /
• v.12 no.1
• /
• pp.101-123
• /
• 2013

This research aims to find out the existence of considerable induced effect that the conventional I-O model cannot. First, we construct an environmental Social Accounting Matrix for Korea by combining statistics on the Korean GDP and I-O with physical data on the fossil energy consumption and $CO_2$ emissions. The impacts of productive activities on fossil energy consumption and $CO_2$ emissions are evaluated by calculating the e-SAM multipliers. By applying decomposition technique further, we get direct, indirect, and induced effects of production activities by industry. The result of decomposing the e-SAM shows that while the direct effect of the electricity industry is large, its indirect effect is very small. In the case of the primary metal industry, both the direct and the indirect influence of this industry were very large. On the contrary, in case of the service industry, the induced effect of fossil energy consumption was as high as 50% of the gross effect. These results suggest that different energy policies should be established for different industries. Also, the findings show the e-SAM model is better than I-O model in analyzing implications of policies on energy use in the economy.

• International Area Studies Review
• /
• v.22 no.2
• /
• pp.211-218
• /
• 2018

The evaluation of aid effectiveness at the national level has mostly focused on qualitative evaluation. This paper attempts to quantitatively evaluate EDCF 's support for Vietnam in 1995 ~ 2016 on the economy. First, we compare the strengths and weaknesses of various methodologies that can be used for quantitative assessment: panel analysis based on growth theory, input-output analysis, social account matrix analysis, CGE model, DSGE model, and time series analysis. Using the input-output analysis, we estimate that total output and value added have been generated about $5.9 billion and $1.7 billion in Vietnam, respectively. The increase in income per capita from the support was estimated to have contributed to a 0.21%p reduction in the poverty rate in Vietnam.