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Output-based allocation of emissions permits for mitigating the leakage and competitiveness issues for the Japanese economy

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  • Shiro Takeda
  • Toshi Arimura
  • Hanae Tamechika
  • Carolyn Fischer
  • Alan Fox

Abstract

The adoption of domestic emissions trading schemes (ETS) can impose a heavy burden on energy-intensive industries. Particularly, energy-intensive industries competing with foreign competitors could lose their international edge. Although the abatement of CO 2 emissions in industrialized countries entails the reduction of their energy-intensive production, a corresponding increase in the production of energy-intensive goods in countries without CO 2 regulations may lead to carbon “leakage.” This paper examines the effects of various allocation methods of emissions permits in the Japanese ETS on the economy and CO 2 emissions using a multiregional and multisector computable general equilibrium model. Specifically, we apply the Fischer and Fox (Land Econ 83(4):575–599, 2007 ) model to the Japanese economy to address carbon leakage and competitiveness issues. We compare auction schemes, grandfathering schemes, and output-based allocation (OBA) schemes. We further extend the model by examining a combination of auctions and OBA. Though the auction scheme is found to be the best in terms of macroeconomic impacts, the leakage rate is high and the harm to energy-intensive sectors can be significant. OBA causes less leakage and damage to energy-intensive sectors, but the macroeconomic impact is undesirable. Considering all three effects—leakage, competitiveness, and macroeconomics—we find that combinations of auctions and OBA are desirable. Copyright Springer Japan 2014

Suggested Citation

  • Shiro Takeda & Toshi Arimura & Hanae Tamechika & Carolyn Fischer & Alan Fox, 2014. "Output-based allocation of emissions permits for mitigating the leakage and competitiveness issues for the Japanese economy," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 89-110, January.
  • Handle: RePEc:spr:envpol:v:16:y:2014:i:1:p:89-110
    DOI: 10.1007/s10018-013-0072-8
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    Cited by:

    1. Frédéric Branger & Misato Sato, 2017. "Solving the clinker dilemma with hybrid output-based allocation," Climatic Change, Springer, vol. 140(3), pages 483-501, February.
    2. Airebule, Palizha & Cheng, Haitao & Ishikawa, Jota, 2023. "Assessing carbon emissions embodied in international trade based on shared responsibility," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    3. Yong-Gun Kim & Jong-Soo Lim, 2021. "Treatment of indirect emissions from the power sector in Korean emissions trading system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(3), pages 581-592, July.
    4. Bin Ye & Jingjing Jiang & Lixin Miao & Ji Li & Yang Peng, 2015. "Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China," Sustainability, MDPI, vol. 8(1), pages 1-23, December.
    5. Jared C. Carbone & Nicholas Rivers, 2014. "Climate policy and competitiveness: Policy guidance and quantitative evidence," Working Papers 2014-05, Colorado School of Mines, Division of Economics and Business.
    6. Kato, Shinya & Takeuchi, Kenji, 2017. "A CGE analysis of a rate-based policy for climate change mitigation," Journal of the Japanese and International Economies, Elsevier, vol. 43(C), pages 88-95.
    7. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    8. Xin Liu & Yuan Li & Dayong Zhang & Lei Zhu, 2018. "On the Effectiveness of the Abatement Policy Mix: A Case Study of China’s Energy-Intensive Sectors," Energies, MDPI, vol. 11(3), pages 1-31, March.
    9. Jiasen Sun & Guo Li, 2020. "Designing a double auction mechanism for the re-allocation of emission permits," Annals of Operations Research, Springer, vol. 291(1), pages 847-874, August.
    10. Shiro Takeda & Horie Tetsuya & Toshi H. Arimura, 2012. "A Computable General Equilibrium Analysis Of Border Adjustments Under The Cap-And-Trade System: A Case Study Of The Japanese Economy," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-30.
    11. Zhu, Lei & Zhang, Xiao-Bing & Li, Yuan & Wang, Xu & Guo, Jianxin, 2017. "Can an emission trading scheme promote the withdrawal of outdated capacity in energy-intensive sectors? A case study on China's iron and steel industry," Energy Economics, Elsevier, vol. 63(C), pages 332-347.
    12. Di Zhou & Xiaoyu Liang & Ye Zhou & Kai Tang, 2020. "Does Emission Trading Boost Carbon Productivity? Evidence from China’s Pilot Emission Trading Scheme," IJERPH, MDPI, vol. 17(15), pages 1-16, July.
    13. Sadayuki, Taisuke & Arimura, Toshi H., 2021. "Do regional emission trading schemes lead to carbon leakage within firms? Evidence from Japan," Energy Economics, Elsevier, vol. 104(C).
    14. Shiro Takeda & Toshi H. Arimura & Makoto Sugino, 2019. "Labor Market Distortions and Welfare-Decreasing International Emissions Trading," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 271-293, September.
    15. Jiasen Sun & Yelin Fu & Xiang Ji & Ray Y. Zhong, 2017. "Allocation of emission permits using DEA-game-theoretic model," Operational Research, Springer, vol. 17(3), pages 867-884, October.
    16. Jie Wu & Qingyuan Zhu & Junfei Chu & Qingxian An & Liang Liang, 2016. "A DEA-based approach for allocation of emission reduction tasks," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5618-5633, September.
    17. Jie Wu & Jun-Fei Chu & Liang Liang, 2016. "Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 279-296, November.

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    More about this item

    Keywords

    Climate change; Emissions trading; Output-based allocation; International competitiveness; Carbon leakage; C68; D42;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly

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