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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. Takeda, Shiro & Arimura, Toshi H., 2024. "A computable general equilibrium analysis of the EU CBAM for the Japanese economy," Japan and the World Economy, Elsevier, vol. 70(C).
    5. 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).
    6. Julien Lefevre, 2018. "Modeling the Socioeconomic Impacts of the Adoption of a Carbon Pricing Instrument – Literature review," CIRED Working Papers hal-03128619, HAL.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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.
    18. 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.
    19. 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.

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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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