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Impacts of carbon motivated border tax adjustments on competitiveness across regions in China

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  • Lin, Boqiang
  • Li, Aijun

Abstract

China is a large developing country with high carbon intensity. It is likely that China will have to face the challenge of CBTA (carbon motivated border tax adjustments) in future. Meanwhile, CBTA would create price gap between CBTA users and target countries, and change the competitiveness of different producers. Under such circumstances, this paper seeks to contribute to the debate on CBTA by focusing on the potential impacts of CBTA on different regions of China from a perspective of competitiveness. We adopt two geographical divides in China (eastern–central–western zones, high-trade-openness to low-trade-openness regions), and simulate the potential impacts across regions through a general equilibrium model. Our simulation results show that CBTA would affect competitiveness of different producers, their comparative advantages, relative trade shares, outputs and emissions. CBTA would induce structure change of the economy, and result in a shift of industrial output toward non-industrial output. There are significant differences in the effects of CBTA among different regions in China. CBTA would result in a relocation of outputs across regions in China. Therefore, CBTA would also have impact on China’s regional development policy.

Suggested Citation

  • Lin, Boqiang & Li, Aijun, 2011. "Impacts of carbon motivated border tax adjustments on competitiveness across regions in China," Energy, Elsevier, vol. 36(8), pages 5111-5118.
  • Handle: RePEc:eee:energy:v:36:y:2011:i:8:p:5111-5118
    DOI: 10.1016/j.energy.2011.06.008
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    5. Paola Rocchi & Iñaki Arto & Jordi Roca & Mònica Serrano, 2015. "Carbon-motivated border tax adjustment: a proposal for the EU," UB School of Economics Working Papers 2015/327, University of Barcelona School of Economics.
    6. Li, Aijun & Lin, Boqiang, 2013. "Comparing climate policies to reduce carbon emissions in China," Energy Policy, Elsevier, vol. 60(C), pages 667-674.
    7. Valentine, Scott Victor, 2014. "The socio-political economy of electricity generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 416-429.
    8. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    9. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    10. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    11. Lin, Boqiang & Li, Aijun, 2012. "Impacts of removing fossil fuel subsidies on China: How large and how to mitigate?," Energy, Elsevier, vol. 44(1), pages 741-749.
    12. Li, Aijun & Zhang, Aizhen & Cai, Hongbo & Li, Xingfeng & Peng, Shishen, 2013. "How large are the impacts of carbon-motivated border tax adjustments on China and how to mitigate them?," Energy Policy, Elsevier, vol. 63(C), pages 927-934.
    13. Mao Xianqiang & Yang Shuqian & Liu Qin, 2013. "The Way to CO2 Emission Reduction and the Co-benefits of Local Air Pollution Control in China's Transportation Sector: A Policy and Economic Analysis," EEPSEA Research Report rr2013036, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2013.
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