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Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model

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  • Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan

Abstract

The intention of this paper is to (i) introduce a multi-regional dynamic emissions trading model and (ii) examine the potential impact of an emissions trading scheme (ETS) on the long-term evolution of energy technologies from national and regional perspectives in China. The establishment of this model is a salutary attempt to Sinicize the global integrated assessment model that combines economy, energy, and environment systems. The simulation results indicate that: (1) for majority of regions, ETS is more effective in cutting CO2 emissions than a harmonized carbon tax (HCT), but this might not be true for the entire country, which means that these two options have little difference in overall carbon reduction; (2) carbon tax policy is a more cost-effective option in curbing CO2 with respect to ETS in the long run; (3) neither ETS nor pure carbon tax provide enough incentives for the breakthrough of carbon-free energy technologies, which illustrates that matching with some other support policies, such as subsidies and R&D investment, is essential to extend the niche market; and (4) In the context of ETS, the diffusion of non-fossil technologies in regions that act as sellers performs much better than this diffusion in the buyer regions.

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  • Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan, 2016. "Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
  • Handle: RePEc:aen:journl:ej37-si1-lei
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    2. Hongbo Duan & Gupeng Zhang & Shouyang Wang & Ying Fan, 2018. "Balancing China’s climate damage risk against emission control costs," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(3), pages 387-403, March.
    3. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    4. Lin, Boqiang & Zhang, Qianxiang, 2023. "The transfer of energy-intensive projects under carbon constraints: Does energy structure matter?," Energy, Elsevier, vol. 284(C).
    5. Zhang, Qianxiang & Lin, Boqiang, 2024. "What does clean energy attract? Evidence from the transfer structure of energy-intensive projects in China," Renewable Energy, Elsevier, vol. 228(C).
    6. Geng, Wenxin & Fan, Ying, 2022. "An imperfectly competitive permit market under a rate-based scheme," Energy Economics, Elsevier, vol. 105(C).

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