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Scenario Analysis of Energy-Related CO 2 Emissions from Current Policies: A Case Study of Guangdong Province

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  • Junyao Wang

    (School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

  • Anqi Liu

    (School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China)

Abstract

Regional carbon management is essential for China to achieve the carbon reduction target. Studying the emission peak time and volume for Guangdong Province, which is the largest economic province with rapid carbon growth, is important for developing regions to formulate low-carbon policies. In this study, an end-use energy-based emission model integrating the guidelines for provincial CO 2 emission peaking action plans and updated policies was developed to study the regional energy-related peaking time and emission scale. Taking Guangdong as a case, multiple scenarios were designed and analyzed considering factors of economic development, energy intensity, and structure. The results show that the energy-related CO 2 cannot reach its peak by 2030 without control, even under low economic growth scenarios. Specifically, under high economic growth scenarios, the carbon peak can only be addressed by 2030 at around 0.65 Gt in the context of a strong transformation in energy structure as well as improvement in energy efficiency. Under medium and low economic scenarios, energy-related CO 2 emissions will reach a plateau before 2030 between 0.61 and 0.64 Gt by implementing the medium and strengthening optimization of energy structure. Thus, effective measures are necessary for Guangdong’s peak target in both energy efficiency improvement and energy structure optimization. At last, this study puts forward policy recommendations for the low-carbon pathway of Guangdong Province, which can provide an experience for other regions in understanding their carbon emission trajectories and help policymakers enact appropriate actions.

Suggested Citation

  • Junyao Wang & Anqi Liu, 2022. "Scenario Analysis of Energy-Related CO 2 Emissions from Current Policies: A Case Study of Guangdong Province," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8903-:d:867463
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    1. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    2. Michael Grubb & Fu Sha & Thomas Spencer & Nick Hughes & Zhongxiang Zhang & Paolo Agnolucci, 2015. "A review of Chinese CO 2 emission projections to 2030: the role of economic structure and policy," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 7-39, December.
    3. Lei Tian & Zhe Ding & Yongxuan Wang & Haiyan Duan & Shuo Wang & Jie Tang & Xian’en Wang, 2016. "Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP," Sustainability, MDPI, vol. 8(6), pages 1-17, May.
    4. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    5. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    6. Zhou, Ya & Shan, Yuli & Liu, Guosheng & Guan, Dabo, 2018. "Emissions and low-carbon development in Guangdong-Hong Kong-Macao Greater Bay Area cities and their surroundings," Applied Energy, Elsevier, vol. 228(C), pages 1683-1692.
    7. Zhou, Nan & Price, Lynn & Yande, Dai & Creyts, Jon & Khanna, Nina & Fridley, David & Lu, Hongyou & Feng, Wei & Liu, Xu & Hasanbeigi, Ali & Tian, Zhiyu & Yang, Hongwei & Bai, Quan & Zhu, Yuezhong & Xio, 2019. "A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030," Applied Energy, Elsevier, vol. 239(C), pages 793-819.
    8. Wang, Ping & Wu, Wanshui & Zhu, Bangzhu & Wei, Yiming, 2013. "Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China," Applied Energy, Elsevier, vol. 106(C), pages 65-71.
    9. Zhu Liu & Dabo Guan & Scott Moore & Henry Lee & Jun Su & Qiang Zhang, 2015. "Climate policy: Steps to China's carbon peak," Nature, Nature, vol. 522(7556), pages 279-281, June.
    10. Huang, Yophy & Bor, Yunchang Jeffrey & Peng, Chieh-Yu, 2011. "The long-term forecast of Taiwan’s energy supply and demand: LEAP model application," Energy Policy, Elsevier, vol. 39(11), pages 6790-6803.
    11. Jiancheng Qin & Hui Tao & Minjin Zhan & Qamar Munir & Karthikeyan Brindha & Guijin Mu, 2019. "Scenario Analysis of Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    12. Lin, Jiang & Kahrl, Fredrich & Yuan, Jiahai & Chen, Qixin & Liu, Xu, 2019. "Economic and carbon emission impacts of electricity market transition in China: A case study of Guangdong Province," Applied Energy, Elsevier, vol. 238(C), pages 1093-1107.
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