주요 분해분석 방법론을 이용한 에너지유 소비 변화 분석
Analyzing the Changes in Energy Oil Consumption Using 7 Major Decomposition Methods
0
조회
0
다운로드
9
인용
0
참고문헌
키워드
초록
This study analyzed what factors most affected the changes in South Korean industries' energy oil consumption rate and determined the most applicable decomposition methodology. LMDI I, LMDI II, AMDI, Laspeyres, Paasche, Fisher, and Marshall-Edgeworth analysis methods were tested for the study. Multiplicative method, based on the energy intensity approach, was also tested. The results between the different analytic methods showed only minor differences and these differences did not have any significant effect on the interpretation of the results. The analysis showed that the energy intensity and the structural changes in the industries are the factors that most affected the energy oil consumption rate change in the South Korean industries. The only exception was during the International Monetary Fund (IMF) crisis period these factors only had minute affect. Among all the South Korean industries, the manufacturing industry has the most influence in the energy oil consumption rate. The decomposition analysis of the entire South Korean industries reflect that since 1997 the energy oil consumption rate for the manufacturing industry decreased due to diversification in energy source and increase in energy efficiency while the production rate for the industry increased.
Abstract
This study analyzed what factors most affected the changes in South Korean industries' energy oil consumption rate and determined the most applicable decomposition methodology. LMDI I, LMDI II, AMDI, Laspeyres, Paasche, Fisher, and Marshall-Edgeworth analysis methods were tested for the study. Multiplicative method, based on the energy intensity approach, was also tested. The results between the different analytic methods showed only minor differences and these differences did not have any significant effect on the interpretation of the results. The analysis showed that the energy intensity and the structural changes in the industries are the factors that most affected the energy oil consumption rate change in the South Korean industries. The only exception was during the International Monetary Fund (IMF) crisis period these factors only had minute affect. Among all the South Korean industries, the manufacturing industry has the most influence in the energy oil consumption rate. The decomposition analysis of the entire South Korean industries reflect that since 1997 the energy oil consumption rate for the manufacturing industry decreased due to diversification in energy source and increase in energy efficiency while the production rate for the industry increased.
참고문헌 (20)
- 최기홍, "경제학적 지수이론에 의한 디비지아적분지수의 재해석", 계량경제학보, 15(1), pp.85~104 (2001)
- Ang, B.W., "Decomposition of industrial energy consumption: Some methodological and application issues", Energy Economics, 16(2), pp.83~92 (1994)
- Ang, B.W., "Decomposition of industrial energy consumption", Energy Economics, 16(3), pp.163~174 (1994)
- Ang, B.W., "Decomposition methodology in industrial energy demand analysis", Energy, 20(11), pp.1081~1095 (1995)
- Ang, B.W., "Decomposition of aggregate energy and gas emission intensities for industry: a refined Divisia index method", Energy Journal, 18(3), pp.59~73 (1997)
- Ang, B.W., "A survey of index decomposition analysis in energy and environmental studies", Energy, 25(12), pp.1149~1176 (2000)
- Ang, B.W., "new energy decomposition method: perfect in decomposition and consistent in aggregation", Energy, 26(6), pp.537~548 (2001)
- Ang, B.W., "Decomposition analysis for policymaking in energy: which is the preferred method?", Energy Policy, 32(9), pp.1131~1139 (2004)
- Ang, B.W., "A generalized Fisher index approach to energy decomposition analysis", Energy Economics, 26, pp.757~763 (2004)
- Ang, B.W., "Energy decomposition analysis: IEA model versus other methods", Energy Policy, 35(3), pp.1426~1432 (2007)
- Ang, B.W., "Handling zero values in the logarithmic mean Divisia index decomposition approach", Energy Policy, 35, pp.238~246 (2007)
- Boyd, G., "Separating the changing composition of US manufacturing production form energy efficiency improvements: a Divisia index approach", Energy Journal, 8(2), pp.77~96 (1987)
- Doblin, C.P., "Declining energy intensity in the US manufacturing sector", Energy Journal, 9(2), pp.109~135 (1988)
- Fisher, I., "The making of index numbers" (1972), Houghton Mifflin
- Greening, L.A., "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries", Energy Economics, 19, pp.375~390 (1997)
- Greening, L.A., "Modeling of industrial energy consumption: An introduction and context", Energy Economics, 29(4), pp.599~608 (2007)
- Hoekstra, R., "Comparing structural and index decomposition analysis", Energy Economics, 25, pp.39~64 (2003)
- Hirst, E., "Recent changes in US energy consumption: what happened and why", Annual Review of Energy, 8, pp.193~245 (1983)
- Liu, F.L., "Eight methods for decomposing the aggregate energy-intensity of industry", Applied Energy, 76(1-3), pp.15~23 (2003)
- Sun, J. W., "Some properties of an exact energy decomposition model", Energy, 25, pp.1177~1188 (2000)
