IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i20p8483-d428113.html
   My bibliography  Save this article

Sectoral Decomposition of Korea’s Energy Consumption by Global Value Chain Dimensions

Author

Listed:
  • Taeyoung Jin

    (Division of Climate Technology Cooperation, Green Technology Center, Seoul 04554, Korea)

  • Bongseok Choi

    (Department of Commerce and Finance, Kookmin University, Seoul 02707, Korea)

Abstract

This paper analyzed the annual trends in energy consumption of 14 industries in Korea from 2000 to 2014 using an extended log mean Divisia index (LMDI) method that embedded global value chain (GVC) divisions in the standard LMDI decomposition. Using a world input–output table, we calculated foreign value-added share in the GVC activities for each industry. Based on a Cobb–Douglas production technology, we embedded GVC divisions in the ordinary LMDI factor decomposition. The key findings indicate that the production effect mainly drives energy consumption, while energy consumption has decreased by both the foreign-structure effects and the foreign-intensity effects. Together with a decline in the domestic energy intensity effects, both of the GVC effects have improved energy efficiency. Energy-intensive industries have consumed more energy than other industries, while they have more incentive to save energy costs because these costs are a large proportion of total import costs. The opposite pattern occurred in other industry groups. Industries that do not naturally depend on energy tend to consume more energy and became more energy-intensive.

Suggested Citation

  • Taeyoung Jin & Bongseok Choi, 2020. "Sectoral Decomposition of Korea’s Energy Consumption by Global Value Chain Dimensions," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8483-:d:428113
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/20/8483/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/20/8483/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2014. "Tracing Value-Added and Double Counting in Gross Exports," American Economic Review, American Economic Association, vol. 104(2), pages 459-494, February.
    2. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    3. Marcel P. Timmer & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2013. "Fragmentation, incomes and jobs: an analysis of European competitiveness [Who captures value in global supply chains?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 28(76), pages 613-661.
    4. Ang, BW, 1994. "Decomposition of industrial energy consumption : The energy intensity approach," Energy Economics, Elsevier, vol. 16(3), pages 163-174, July.
    5. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    6. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    7. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    8. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    9. Xu, Jin-Hua & Fleiter, Tobias & Eichhammer, Wolfgang & Fan, Ying, 2012. "Energy consumption and CO2 emissions in China's cement industry: A perspective from LMDI decomposition analysis," Energy Policy, Elsevier, vol. 50(C), pages 821-832.
    10. Suyi Kim, 2017. "LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    11. Hummels, David & Ishii, Jun & Yi, Kei-Mu, 2001. "The nature and growth of vertical specialization in world trade," Journal of International Economics, Elsevier, vol. 54(1), pages 75-96, June.
    12. Marcel P. Timmer & Abdul Azeez Erumban & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2014. "Slicing Up Global Value Chains," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 99-118, Spring.
    13. Choi, Bongseok, 2020. "Productivity and misallocation of energy resources: Evidence from Korea’s manufacturing Sector," Resource and Energy Economics, Elsevier, vol. 61(C).
    14. Bart Los & Marcel P. Timmer & Gaaitzen J. Vries, 2015. "How Global Are Global Value Chains? A New Approach To Measure International Fragmentation," Journal of Regional Science, Wiley Blackwell, vol. 55(1), pages 66-92, January.
    15. Ang, B. W. & Lee, S. Y., 1994. "Decomposition of industrial energy consumption : Some methodological and application issues," Energy Economics, Elsevier, vol. 16(2), pages 83-92, April.
    16. Johnson, Robert C. & Noguera, Guillermo, 2012. "Accounting for intermediates: Production sharing and trade in value added," Journal of International Economics, Elsevier, vol. 86(2), pages 224-236.
    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. Jiyong Park & Taeyoung Jin & Sungin Lee & Jongroul Woo, 2021. "Industrial Electrification and Efficiency: Decomposition Evidence from the Korean Industrial Sector," Energies, MDPI, vol. 14(16), pages 1-18, August.
    2. Changjian Wang & Fei Wang & Gengzhi Huang & Yang Wang & Xinlin Zhang & Yuyao Ye & Xiaojie Lin & Zhongwu Zhang, 2021. "Examining the Dynamics and Determinants of Energy Consumption in China’s Megacity Based on Industrial and Residential Perspectives," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    3. Jincai Zhao & Qianqian Liu, 2021. "Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities," IJERPH, MDPI, vol. 18(8), pages 1-18, April.

    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. Jiyong Park & Taeyoung Jin & Sungin Lee & Jongroul Woo, 2021. "Industrial Electrification and Efficiency: Decomposition Evidence from the Korean Industrial Sector," Energies, MDPI, vol. 14(16), pages 1-18, August.
    2. Chen, Quanrun & Chen, Xikang & Pei, Jiansuo & Yang, Cuihong & Zhu, Kunfu, 2020. "Estimating domestic content in China’s exports: Accounting for a dual-trade regime," Economic Modelling, Elsevier, vol. 89(C), pages 43-54.
    3. Nenci, Silvia & Fusacchia, Ilaria & Giunta, Anna & Montalbano, Pierluigi & Pietrobelli, Carlo, 2022. "Mapping global value chain participation and positioning in agriculture and food: stylised facts, empirical evidence and critical issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 11(2), July.
    4. Michael Peneder & Gerhard Streicher, 2016. "De- versus Re-industrialisation: Is Structural Change Reversible?," WIFO Working Papers 506, WIFO.
    5. Jona-Lasinio, Cecilia & Manzocchi, Stefano & Meliciani, Valentina, 2019. "Knowledge based capital and value creation in global supply chains," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    6. Yan, Bingqian & Xia, Yan & Jiang, Xuemei, 2023. "Carbon productivity and value-added generations: Regional heterogeneity along global value chain," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 111-125.
    7. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    8. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    9. Araújo, Inácio Fernandes de & Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues, 2021. "Regional and global patterns of participation in value chains: Evidence from Brazil," International Economics, Elsevier, vol. 165(C), pages 154-171.
    10. Inaki Arto & Erik Dietzenbacher & Jose Manuel Rueda-Cantuche, 2019. "Measuring bilateral trade in terms of value added," JRC Research Reports JRC116694, Joint Research Centre.
    11. Victor Kummritz, 2015. "Global Value Chains: Benefiting the Domestic Economy?," IHEID Working Papers 02-2015, Economics Section, The Graduate Institute of International Studies.
    12. Pleticha, Petr, 2021. "Who Benefits from Global Value Chain Participation? Does Functional Specialization Matter?," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 291-299.
    13. João Amador & Sónia Cabral, 2017. "Networks of Value-added Trade," The World Economy, Wiley Blackwell, vol. 40(7), pages 1291-1313, July.
    14. João Amador & Sónia Cabral & Rossana Mastrandrea & Franco Ruzzenenti, 2018. "Who’s Who in Global Value Chains? A Weighted Network Approach," Open Economies Review, Springer, vol. 29(5), pages 1039-1059, November.
    15. Marilia Marcato & Carolina Baltar & Fernando Sarti, 2019. "International competitiveness in a vertically fragmented production structure: empirical challenges and evidence," Economics Bulletin, AccessEcon, vol. 39(2), pages 876-893.
    16. Amat Adarov & Robert Stehrer, 2021. "Implications of foreign direct investment, capital formation and its structure for global value chains," The World Economy, Wiley Blackwell, vol. 44(11), pages 3246-3299, November.
    17. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    18. 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.
    19. João Lopes & Ana Santos, 2015. "Vertical Specialization, Global Value Chains and the changing Geography of Trade: the Portuguese Rubber and Plastics Industry Case," Proceedings of Business and Management Conferences 3105028, International Institute of Social and Economic Sciences.
    20. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.

    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:gam:jsusta:v:12:y:2020:i:20:p:8483-:d:428113. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.