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      주요 분해분석 방법론을 이용한 에너지유 소비 변화 분석 = Analyzing the Changes in Energy Oil Consumption Using 7 Major Decomposition Methods

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      https://www.riss.kr/link?id=A104635344

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      다국어 초록 (Multilingual 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.
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      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 ...

      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.

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      참고문헌 (Reference)

      1 최기홍, "경제학적 지수이론에 의한 디비지아적분지수의 재해석" 15 (15): 85-104, 2001

      2 Ang, B.W., "new energy decomposition method: perfect in decomposition and consistent in aggregation" 26 (26): 537-548, 2001

      3 Fisher, I., "The making of index numbers" Houghton Mifflin 1972

      4 Sun, J. W., "Some properties of an exact energy decomposition model" 25 : 1177-1188, 2000

      5 Boyd, G., "Separating the changing composition of US manufacturing production form energy efficiency improvements: a Divisia index approach" 8 (8): 77-96, 1987

      6 Hirst, E., "Recent changes in US energy consumption: what happened and why" 8 : 193-245, 1983

      7 Greening, L.A., "Modeling of industrial energy consumption: An introduction and context" 29 (29): 599-608, 2007

      8 Ang, B.W., "Handling zero values in the logarithmic mean Divisia index decomposition approach" 35 : 238-246, 2007

      9 Ang, B.W., "Energy decomposition analysis: IEA model versus other methods" 35 (35): 1426-1432, 2007

      10 Liu, F.L., "Eight methods for decomposing the aggregate energy-intensity of industry" 76 (76): 15-23, 2003

      1 최기홍, "경제학적 지수이론에 의한 디비지아적분지수의 재해석" 15 (15): 85-104, 2001

      2 Ang, B.W., "new energy decomposition method: perfect in decomposition and consistent in aggregation" 26 (26): 537-548, 2001

      3 Fisher, I., "The making of index numbers" Houghton Mifflin 1972

      4 Sun, J. W., "Some properties of an exact energy decomposition model" 25 : 1177-1188, 2000

      5 Boyd, G., "Separating the changing composition of US manufacturing production form energy efficiency improvements: a Divisia index approach" 8 (8): 77-96, 1987

      6 Hirst, E., "Recent changes in US energy consumption: what happened and why" 8 : 193-245, 1983

      7 Greening, L.A., "Modeling of industrial energy consumption: An introduction and context" 29 (29): 599-608, 2007

      8 Ang, B.W., "Handling zero values in the logarithmic mean Divisia index decomposition approach" 35 : 238-246, 2007

      9 Ang, B.W., "Energy decomposition analysis: IEA model versus other methods" 35 (35): 1426-1432, 2007

      10 Liu, F.L., "Eight methods for decomposing the aggregate energy-intensity of industry" 76 (76): 15-23, 2003

      11 Ang, B.W., "Decomposition of industrial energy consumption: Some methodological and application issues" 16 (16): 83-92, 1994

      12 Ang, B.W., "Decomposition of industrial energy consumption" 16 (16): 163-174, 1994

      13 Ang, B.W., "Decomposition of aggregate energy and gas emission intensities for industry: a refined Divisia index method" 18 (18): 59-73, 1997

      14 Ang, B.W., "Decomposition methodology in industrial energy demand analysis" 20 (20): 1081-1095, 1995

      15 Ang, B.W., "Decomposition analysis for policymaking in energy: which is the preferred method?" 32 (32): 1131-1139, 2004

      16 Doblin, C.P., "Declining energy intensity in the US manufacturing sector" 9 (9): 109-135, 1988

      17 Greening, L.A., "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries" 19 : 375-390, 1997

      18 Hoekstra, R., "Comparing structural and index decomposition analysis" 25 : 39-64, 2003

      19 Ang, B.W., "A survey of index decomposition analysis in energy and environmental studies" 25 (25): 1149-1176, 2000

      20 Ang, B.W., "A generalized Fisher index approach to energy decomposition analysis" 26 : 757-763, 2004

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-06-13 학술지명변경 한글명 : 한국지구시스템공학회지 -> 한국자원공학회지
      외국어명 : Journal of the Korean society for geosystem engineering -> Journal of the Korean Society of Mineral and Energy Resources Engineers
      KCI등재
      2013-06-13 학회명변경 한글명 : 한국지구시스템공학회 -> 한국자원공학회
      영문명 : The Korean Society For Geosystem Engineering -> The Korean Society of Mineral and Energy Resources Engineers
      KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.15
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.17 0.19 0.278 0.07
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