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Decarbonization pathways to subregional carbon neutrality in China based on the top-down multi-regional CGE model: A study of Guangxi

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Listed:
  • He, Ling
  • Li, Xiaofan
  • Cui, Qi
  • Guan, Bing
  • Li, Meng
  • Chen, Hao

Abstract

Deep decarbonization efforts are necessary in subregions to achieve China's dual carbon goals. However, existing studies on subregional decarbonization pathways have neglected the constraints of national decarbonization schemes, resulting in incompatibility between national and subregional decarbonization pathways. In this study, we employed a top-down multi-regional computable general equilibrium (CGE) model using Guangxi as an example to assess the decarbonization pathways of the subregion under two typical national decarbonization pathways. Under a conservative decarbonization scenario, Guangxi's carbon emissions will peak at 325 Mt CO2 by 2032, with residual carbon emissions of 111 Mt CO2 by 2060. Under a proactive decarbonization scenario, Guangxi's carbon emissions will be significantly reduced, peaking at 294 Mt CO2 by 2030 and retaining residual carbon emissions of 63 Mt CO2 by 2060. The service, light industry, metallurgy, building materials, and electricity sectors were the major carbon emitters. Decarbonization plans can potentially transform Guangxi's energy structure into a low-carbon system and narrow the supply-demand gap for fossil fuels. However, the supply demand gap for electric power will increase unless energy efficiency is largely improved. Realizing dual carbon goals can cause some damage to Guangxi's macroeconomy and energy-intensive industries.

Suggested Citation

  • He, Ling & Li, Xiaofan & Cui, Qi & Guan, Bing & Li, Meng & Chen, Hao, 2024. "Decarbonization pathways to subregional carbon neutrality in China based on the top-down multi-regional CGE model: A study of Guangxi," Energy, Elsevier, vol. 294(C).
  • Handle: RePEc:eee:energy:v:294:y:2024:i:c:s0360544224006182
    DOI: 10.1016/j.energy.2024.130846
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    References listed on IDEAS

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    1. Yang, Xi & Pang, Jun & Teng, Fei & Gong, Ruixin & Springer, Cecilia, 2021. "The environmental co-benefit and economic impact of China's low-carbon pathways: Evidence from linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    2. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    3. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Guo, Zhengquan & Su, Shuai, 2021. "Segmented carbon tax may significantly affect the regional and national economy and environment-a CGE-based analysis for Guangdong Province," Energy, Elsevier, vol. 231(C).
    4. Timilsina, Govind R. & Pang, Jun & Xi, Yang, 2021. "Enhancing the quality of climate policy analysis in China: Linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    5. Li, Zhaoling & Dai, Hancheng & Sun, Lu & Xie, Yang & Liu, Zhu & Wang, Peng & Yabar, Helmut, 2018. "Exploring the impacts of regional unbalanced carbon tax on CO2 emissions and industrial competitiveness in Liaoning province of China," Energy Policy, Elsevier, vol. 113(C), pages 9-19.
    6. Horridge, Mark & Wittwer, Glyn, 2008. "SinoTERM, a multi-regional CGE model of China," China Economic Review, Elsevier, vol. 19(4), pages 628-634, December.
    7. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    8. Guo, Jian-Xin & Huang, Chen, 2020. "Feasible roadmap for CCS retrofit of coal-based power plants to reduce Chinese carbon emissions by 2050," Applied Energy, Elsevier, vol. 259(C).
    9. Wu, Wei & Zhang, Tingting & Xie, Xiaomin & Huang, Zhen, 2021. "Regional low carbon development pathways for the Yangtze River Delta region in China," Energy Policy, Elsevier, vol. 151(C).
    10. Yinhua Mai & Peter B. Dixon & Maureen Rimmer, 2010. "CHINAGEM: A Monash-Styled Dynamic CGE Model of China," Centre of Policy Studies/IMPACT Centre Working Papers g-201, Victoria University, Centre of Policy Studies/IMPACT Centre.
    11. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    12. Guokui Wang & Xiaojia Guo & Jinxiu Fu & Qingyue Wei & Linlin Zhang, 2022. "Alternative pathways to CO2 reduction in Gansu province, China," Energy & Environment, , vol. 33(4), pages 809-825, June.
    13. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    14. Xu, Guangyue & Dong, Haoyun & Xu, Zhenci & Bhattarai, Nishan, 2022. "China can reach carbon neutrality before 2050 by improving economic development quality," Energy, Elsevier, vol. 243(C).
    15. Huang, Ren & Zhang, Sufang & Wang, Peng, 2022. "Key areas and pathways for carbon emissions reduction in Beijing for the “Dual Carbon” targets," Energy Policy, Elsevier, vol. 164(C).
    16. Wang, G.Y. & Li, Y.P. & Liu, J. & Huang, G.H. & Chen, L.R. & Yang, Y.J. & Gao, P.P., 2022. "A two-phase factorial input-output model for analyzing CO2-emission reduction pathway and strategy from multiple perspectives – A case study of Fujian province," Energy, Elsevier, vol. 248(C).
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