IDEAS home Printed from https://ideas.repec.org/a/spr/masfgc/v5y2000i3p221-238.html
   My bibliography  Save this article

Structural Change of the Manufacturing Sector in Korea: Measurement of Real Energy Intensity and CO2 Emissions

Author

Listed:
  • Tae Jung
  • Tae Park

Abstract

No abstract is available for this item.

Suggested Citation

  • Tae Jung & Tae Park, 2000. "Structural Change of the Manufacturing Sector in Korea: Measurement of Real Energy Intensity and CO2 Emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 5(3), pages 221-238, September.
  • Handle: RePEc:spr:masfgc:v:5:y:2000:i:3:p:221-238
    DOI: 10.1023/A:1009661000859
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1009661000859
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1009661000859?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. G. Boyd & J. F. McDonald & M. Ross & D. A. Hansont, 1987. "Separating the Changing Composition of U.S. Manufacturing Production from Energy Efficiency Improvements: A Divisia Index Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-96.
    2. Ang, BW, 1994. "Decomposition of industrial energy consumption : The energy intensity approach," Energy Economics, Elsevier, vol. 16(3), pages 163-174, July.
    3. Jenne, C. A. & Cattell, R. K., 1983. "Structural change and energy efficiency in industry," Energy Economics, Elsevier, vol. 5(2), pages 114-123, April.
    4. Boyd, Gale A. & Hanson, Donald A. & Sterner, Thomas, 1988. "Decomposition of changes in energy intensity : A comparison of the Divisia index and other methods," Energy Economics, Elsevier, vol. 10(4), pages 309-312, October.
    5. Howarth, Richard B. & Schipper, Lee & Duerr, Peter A. & Strøm, Steinar, 1991. "Manufacturing energy use in eight OECD countries : Decomposing the impacts of changes in output, industry structure and energy intensity," Energy Economics, Elsevier, vol. 13(2), pages 135-142, April.
    6. Ang, B.W., 1993. "Sector disaggregation, structural effect and industrial energy use: An approach to analyze the interrelationships," Energy, Elsevier, vol. 18(10), pages 1033-1044.
    7. Huang, Jin-ping, 1993. "Industry energy use and structural change : A case study of The People's Republic of China," Energy Economics, Elsevier, vol. 15(2), pages 131-136, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    2. Josef Slaboch & Pavlína Hálová & Adriana Laputková, 2021. "Development and Structural Changes of Carbon Footprint in EU28," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    3. Gandhi, Oktoviano & Oshiro, Andre H. & Medeiros Costa, Hirdan Katarina de & Santos, Edmilson M., 2017. "Energy intensity trend explained for Sao Paulo state," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1046-1054.
    4. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    5. Zhen Wu & Su-Han Woo & Jin-Ho Oh & Po-Lin Lai, 2024. "Temporal and spatial effects of manufacturing agglomeration on CO2 emissions: evidence from South Korea," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    2. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2016. "Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case," Energy Policy, Elsevier, vol. 89(C), pages 114-124.
    3. Greening, Lorna A. & Davis, William B. & Schipper, Lee & Khrushch, Marta, 1997. "Comparison of six decomposition methods: application to aggregate energy intensity for manufacturing in 10 OECD countries," Energy Economics, Elsevier, vol. 19(3), pages 375-390, July.
    4. Zhang, Zhong Xiang, 2001. "Why has the energy intensity fallen in China's industrial sector in the 1990s? : the relative importance of structural change and intensity change," CCSO Working Papers 200105, University of Groningen, CCSO Centre for Economic Research.
    5. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.
    6. Nag, Barnali & Parikh, Jyoti, 2000. "Indicators of carbon emission intensity from commercial energy use in India," Energy Economics, Elsevier, vol. 22(4), pages 441-461, August.
    7. Zhang, ZhongXiang, 2003. "Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change," Energy Economics, Elsevier, vol. 25(6), pages 625-638, November.
    8. Shaista Alam & Mohammad Sabihuddin Butt, 2001. "Assessing Energy Consumption and Energy Intensity Changes in Pakistan: An Application of Complete Decomposition Model," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(2), pages 135-147.
    9. repec:dgr:rugcds:200111 is not listed on IDEAS
    10. Xu, X.Y. & Ang, B.W., 2014. "Multilevel index decomposition analysis: Approaches and application," Energy Economics, Elsevier, vol. 44(C), pages 375-382.
    11. repec:dgr:rugccs:200105 is not listed on IDEAS
    12. Md. Afzal Hossain & Jean Engo & Songsheng Chen, 2021. "The main factors behind Cameroon’s CO2 emissions before, during and after the economic crisis of the 1980s," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4500-4520, March.
    13. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    14. Santosh Kumar SAHU & K NARAYANAN, 2010. "Decomposition Of Industrial Energy Consumption In Indian Manufacturing The Energy Intensity Approach," Journal of Advanced Research in Management, ASERS Publishing, vol. 1(1), pages 22-38.
    15. Wang, Wenwen & Liu, Xiao & Zhang, Ming & Song, Xuefeng, 2014. "Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China's energy consumption," Energy, Elsevier, vol. 67(C), pages 617-622.
    16. Farla, Jacco C.M & Blok, Kornelis, 2000. "The use of physical indicators for the monitoring of energy intensity developments in the Netherlands, 1980–1995," Energy, Elsevier, vol. 25(7), pages 609-638.
    17. Shrestha, Ram M. & Timilsina, Govinda R., 1996. "Factors affecting CO2 intensities of power sector in Asia: A Divisia decomposition analysis," Energy Economics, Elsevier, vol. 18(4), pages 283-293, October.
    18. Andreoni, V. & Galmarini, S., 2012. "Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption," Energy, Elsevier, vol. 44(1), pages 682-691.
    19. Arto, Iñaki & Ansuategui Cobo, José Alberto, 2003. "La evolución de la intensidad energética de la industria vasca entre 1982-2001: Un análisis de descomposición," IKERLANAK 2003-07, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    20. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    21. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    22. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:masfgc:v:5:y:2000:i:3:p:221-238. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.