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The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach

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  • Choi, Yongrok
  • Liu, Yu
  • Lee, Hyoungseok

Abstract

South Korea initiated an emissions trading scheme (ETS) on January 1, 2015. Based on this environmental policy, at the 21st Conference of Parties (COP) meeting, the Korean government announced that it would decrease carbon emissions 37% from business as usual (BAU) levels by 2030. Since this target is too ambitious for the Korean economy, a number of studies have analyzed the economic impacts of emissions trading in Korea, but few have distinguished between industries covered and not covered by the ETS, notwithstanding the lack of industry-level data on quotas and emissions. This study overcomes such shortcomings by converting a dataset of 525 firms covered by the South Korea ETS (SK-ETS) into a 28-sector database consistent with the Global Trade Analysis Project (GTAP) classifications. We implement a simulation of the SK-ETS with a computational general equilibrium (CGE) model. Simulation results suggest that while SK-ETS has significant abatement effects (−2.56% from the base case), it only has mild negative impacts on GDP (0.41%) and household consumption (0.11%). Industry output on average falls by 0.54%, with the gas and air transport sectors most adversely affected. The most noticeable price changes are from the electricity sector, whose output price goes up by 3.75%. It is noteworthy that because of the export-oriented economy, many global business leaders and politicians have argued that the ETS will disadvantage exporting companies, while the simulation results showed a higher trade surplus based on enhanced competitiveness.

Suggested Citation

  • Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    • Handle: RePEc:eee:enepol:v:109:y:2017:i:c:p:835-844
    DOI: 10.1016/j.enpol.2017.06.039
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    References listed on IDEAS

    as
    1. de Perthuis, Christian & Trotignon, Raphael, 2014. "Governance of CO2 markets: Lessons from the EU ETS," Energy Policy, Elsevier, vol. 75(C), pages 100-106.
    2. Zhao, Jinhua, 2003. "Irreversible abatement investment under cost uncertainties: tradable emission permits and emissions charges," Journal of Public Economics, Elsevier, vol. 87(12), pages 2765-2789, December.
    3. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    4. Riccardi, R. & Oggioni, G. & Toninelli, R., 2012. "Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function," Energy Policy, Elsevier, vol. 44(C), pages 140-152.
    5. Lee, Cheng F. & Lin, Sue J. & Lewis, Charles, 2008. "Analysis of the impacts of combining carbon taxation and emission trading on different industry sectors," Energy Policy, Elsevier, vol. 36(2), pages 722-729, February.
    6. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    7. repec:dau:papers:123456789/13539 is not listed on IDEAS
    8. Claudia Kemfert & Michael Kohlhaas & Truong Truong & Artem Protsenko, 2006. "The environmental and economic effects of European emissions trading," Climate Policy, Taylor & Francis Journals, vol. 6(4), pages 441-455, July.
    9. Richard G. Newell & William A. Pizer & Daniel Raimi, 2013. "Carbon Markets 15 Years after Kyoto: Lessons Learned, New Challenges," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 123-146, Winter.
    10. Song, Tae-Ho & Lim, Kyoung-Min & Yoo, Seung-Hoon, 2015. "Estimating the public’s value of implementing the CO2 emissions trading scheme in Korea," Energy Policy, Elsevier, vol. 83(C), pages 82-86.
    11. Myunghun, Lee, 2011. "Potential cost savings from internal/external CO2 emissions trading in the Korean electric power industry," Energy Policy, Elsevier, vol. 39(10), pages 6162-6167, October.
    12. Nijkamp, Peter & Wang, Shunli & Kremers, Hans, 2005. "Modeling the impacts of international climate change policies in a CGE context: The use of the GTAP-E model," Economic Modelling, Elsevier, vol. 22(6), pages 955-974, December.
    13. Christoph Böhringer & Andreas Lange, 2005. "Mission Impossible !? On the Harmonization of National Allocation Plans under the EU Emissions Trading Directive," Journal of Regulatory Economics, Springer, vol. 27(1), pages 81-94, September.
    14. Park, Hojeong & Hong, Won Kyung, 2014. "Korea׳s emission trading scheme and policy design issues to achieve market-efficiency and abatement targets," Energy Policy, Elsevier, vol. 75(C), pages 73-83.
    15. Nathaniel O. Keohane, 2009. "Cap and Trade, Rehabilitated: Using Tradable Permits to Control U.S. Greenhouse Gases," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 3(1), pages 42-62, Winter.
    16. Lim, Jaekyu, 2011. "Impacts and implications of implementing voluntary greenhouse gas emission reduction targets in major countries and Korea," Energy Policy, Elsevier, vol. 39(9), pages 5086-5095, September.
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