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Achieving Chinaʼs carbon neutrality goal by economic growth rate adjustment and low-carbon energy structure

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  • Xu, Guangyue
  • Zang, Lanmei
  • Schwarz, Peter
  • Yang, Hualiu

Abstract

To effectively address global warming, all countries need to achieve carbon neutral targets as soon as possible, and it is of great importance when China, as the world's largest emitter, achieves its carbon peak and subsequently its carbon neutral target. To examine these twin goals of achieving a carbon peak and carbon neutrality, we comprehensively apply the component data method, the cointegration analysis method and the scenario analysis method. By presenting 27 scenarios of achieving carbon neutrality on the basis of first achieving a carbon peak through economic growth rate adjustment and energy consumption structure, the results show that under low economic growth and low-carbon energy consumption scenarios, China's carbon emissions will peak in 2026, and will achieve the carbon neutrality target in 2056. However, under other scenarios, the carbon peak is only reached in 2030, and China cannot achieve carbon neutrality by 2060. Therefore, China needs to accept slower economic growth and achieve a cleaner net-zero energy consumption structure.

Suggested Citation

  • Xu, Guangyue & Zang, Lanmei & Schwarz, Peter & Yang, Hualiu, 2023. "Achieving Chinaʼs carbon neutrality goal by economic growth rate adjustment and low-carbon energy structure," Energy Policy, Elsevier, vol. 183(C).
    • Handle: RePEc:eee:enepol:v:183:y:2023:i:c:s0301421523004020
    DOI: 10.1016/j.enpol.2023.113817
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    References listed on IDEAS

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    1. Chen, Hao & Qi, Shaozhou & Zhang, Jihong, 2022. "Towards carbon neutrality with Chinese characteristics: From an integrated perspective of economic growth-equity-environment," Applied Energy, Elsevier, vol. 324(C).
    2. Xu, Guangyue & Schwarz, Peter & Yang, Hualiu, 2019. "Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis," Energy Policy, Elsevier, vol. 128(C), pages 752-762.
    3. Chen, Yi & Long, Xingle & Salman, Muhammad, 2021. "Did the 2014 Nanjing Youth Olympic Games enhance environmental efficiency? New evidence from a quasi-natural experiment," Energy Policy, Elsevier, vol. 159(C).
    4. Luo, Yusen & Lu, Zhengnan & Long, Xingle, 2020. "Heterogeneous effects of endogenous and foreign innovation on CO2 emissions stochastic convergence across China," Energy Economics, Elsevier, vol. 91(C).
    5. Florence Appiah-Twum & Xingle Long, 2023. "Human Capital, Trade Competitiveness and Environmental Efficiency Convergence Across Asia Pacific Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 109-132, May.
    6. Yusen Luo & Qinglin Wang & Xingle Long & Zheming Yan & Muhammad Salman & Chao Wu, 2023. "Green innovation and SO2 emissions: Dynamic threshold effect of human capital," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 499-515, January.
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