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Decomposition Analysis of Greenhouse Gas Emissions in Korea’s Transportation Sector

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  • Suyi Kim

    (College of Business Management, Hongik University, 2639 Sejong-ro, Sejong-si 30016, Korea)

Abstract

This study analyzed the greenhouse gas (GHG) emissions from the transportation sector in Korea from 1990 to 2013 using Logarithmic Mean Divisia Index (LMDI) factor decomposition methods. We decomposed these emissions into six factors: The population effect, the economic growth effect due to changes in the gross domestic product per capita, the energy intensity effect due to changes in energy consumption per gross domestic product, the transportation mode effect, the energy mix effect, and the emission factor effect. The results show that some factors can cause an increase in GHG emissions predominantly influenced by the economic growth effect, followed by the population growth effect. By contrast, others can cause a decrease in GHG emissions, predominantly via the energy intensity effect. Even though the transportation mode effect has contributed to a reduction of GHG emissions, it remains relatively small compared to other factors. The energy mix and emission factor effects contributed to the reduction of GHG emissions in the early 2000s, however the effects have led to an increase of GHG emissions since the mid-2000s. Altogether, based on these results, this study suggests some GHG mitigation policies aimed at achieving the national target for this sector.

Suggested Citation

  • Suyi Kim, 2019. "Decomposition Analysis of Greenhouse Gas Emissions in Korea’s Transportation Sector," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1986-:d:219615
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    References listed on IDEAS

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    Cited by:

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    2. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    3. Yuhao Yang & Ruixi Dong & Xiaoyan Ren & Mengze Fu, 2024. "Exploring Sustainable Planning Strategies for Carbon Emission Reduction in Beijing’s Transportation Sector: A Multi-Scenario Carbon Peak Analysis Using the Extended STIRPAT Model," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
    4. Ming Meng & Manyu Li, 2020. "Decomposition Analysis and Trend Prediction of CO 2 Emissions in China’s Transportation Industry," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    5. Changzheng Zhu & Sha Yang & Pengbo Liu, 2022. "Study on the Factors Influencing on the Carbon Emissions of Shaanxi Province’s Transportation Industry in China," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    6. Bo Peng & Xiaoying Tong & Shijiang Cao & Wenying Li & Gui Xu, 2020. "Carbon Emission Calculation Method and Low-Carbon Technology for Use in Expressway Construction," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    7. Zhu, Lichao, 2023. "Comparative evaluation of CO2 emissions from transportation in countries around the world," Journal of Transport Geography, Elsevier, vol. 110(C).

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