IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v135y2024ics026499932400083x.html
   My bibliography  Save this article

Economic implications of carbon neutrality in China: A dynamic general equilibrium analysis

Author

Listed:
  • Feng, Shenghao
  • Peng, Xiujian
  • Adams, Philip
  • Jiang, Dalin
  • Waschik, Robert

Abstract

We utilize a dynamic computable general equilibrium model to analyze the economic implications of carbon neutrality for China. Novel treatments of power generation and carbon capture and storage (CCS) possibilities are a feature of the analysis. We calculate the impact of carbon neutrality by comparing a business-as-usual base-case scenario with results from an alternative carbon neutrality scenario. We discuss the assumptions used in these scenarios and shocks relating to energy efficiency, energy preferences, and the implementation of CCS. Our simulation results show that macroeconomic (especially employment) setbacks are minor, suggesting that China should be able to achieve the joint policy goals of both net carbon neutrality by 2060 and doubling real gross domestic product by 2035. We also test the sensitivity of our core results to changes in key underlying assumptions.

Suggested Citation

  • Feng, Shenghao & Peng, Xiujian & Adams, Philip & Jiang, Dalin & Waschik, Robert, 2024. "Economic implications of carbon neutrality in China: A dynamic general equilibrium analysis," Economic Modelling, Elsevier, vol. 135(C).
    • Handle: RePEc:eee:ecmode:v:135:y:2024:i:c:s026499932400083x
    DOI: 10.1016/j.econmod.2024.106727
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S026499932400083X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2024.106727?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Haakon Vennemo & Jianwu He & Shantong Li, 2014. "Macroeconomic Impacts of Carbon Capture and Storage in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 455-477, November.
    2. Bu, Chujie & Cui, Xueqin & Li, Ruiyao & Li, Jin & Zhang, Yaxin & Wang, Can & Cai, Wenjia, 2021. "Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies," Applied Energy, Elsevier, vol. 284(C).
    3. Bohringer, Christoph & Loschel, Andreas, 2006. "Computable general equilibrium models for sustainability impact assessment: Status quo and prospects," Ecological Economics, Elsevier, vol. 60(1), pages 49-64, November.
    4. Wu, Ning & Parsons, John E. & Polenske, Karen R., 2013. "The impact of future carbon prices on CCS investment for power generation in China," Energy Policy, Elsevier, vol. 54(C), pages 160-172.
    5. Weng, Yuwei & Cai, Wenjia & Wang, Can, 2021. "Evaluating the use of BECCS and afforestation under China’s carbon-neutral target for 2060," Applied Energy, Elsevier, vol. 299(C).
    6. Shenghao Feng & Xiujian Peng & Philip Adams, 2021. "Energy and Economic Implications of Carbon Neutrality in China -- A Dynamic General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-318, Victoria University, Centre of Policy Studies/IMPACT Centre.
    7. Jia, Zhijie & Lin, Boqiang, 2021. "How to achieve the first step of the carbon-neutrality 2060 target in China: The coal substitution perspective," Energy, Elsevier, vol. 233(C).
    8. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    9. Wang, Ke & Wang, Can & Chen, Jining, 2009. "Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change," Energy Policy, Elsevier, vol. 37(8), pages 2930-2940, August.
    10. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    11. Zhang, Xiliang & Karplus, Valerie J. & Qi, Tianyu & Zhang, Da & He, Jiankun, 2016. "Carbon emissions in China: How far can new efforts bend the curve?," Energy Economics, Elsevier, vol. 54(C), pages 388-395.
    12. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    13. Cui, Qi & Liu, Yu & Ali, Tariq & Gao, Ji & Chen, Hao, 2020. "Economic and climate impacts of reducing China's renewable electricity curtailment: A comparison between CGE models with alternative nesting structures of electricity," Energy Economics, Elsevier, vol. 91(C).
    14. Huang, Xiaodan & Chang, Shiyan & Zheng, Dingqian & Zhang, Xiliang, 2020. "The role of BECCS in deep decarbonization of China's economy: A computable general equilibrium analysis," Energy Economics, Elsevier, vol. 92(C).
    15. Shenghao Feng & Keyu Zhang & Xiujian Peng, 2021. "Elasticity of Substitution Between Electricity and Non-Electric Energy in the Context of Carbon Neutrality in China," Centre of Policy Studies/IMPACT Centre Working Papers g-323, Victoria University, Centre of Policy Studies/IMPACT Centre.
    16. Babatunde, Kazeem Alasinrin & Begum, Rawshan Ara & Said, Fathin Faizah, 2017. "Application of computable general equilibrium (CGE) to climate change mitigation policy: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 61-71.
    17. Zha, Donglan & Zhou, Dequn, 2014. "The elasticity of substitution and the way of nesting CES production function with emphasis on energy input," Applied Energy, Elsevier, vol. 130(C), pages 793-798.
    18. Beckman, Jayson & Hertel, Thomas & Tyner, Wallace, 2011. "Validating energy-oriented CGE models," Energy Economics, Elsevier, vol. 33(5), pages 799-806, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Lingyu & Zhang, Jing & Li, Xinbei & Zhu, Nenggao & Liu, Yu, 2024. "The moderating effect of emission reduction policies on CCS mitigation efficiency," Applied Energy, Elsevier, vol. 376(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shenghao Feng & Xiujian Peng & Philip Adams, 2021. "Energy and Economic Implications of Carbon Neutrality in China -- A Dynamic General Equilibrium Analysis," Centre of Policy Studies/IMPACT Centre Working Papers g-318, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. Shenghao Feng & Keyu Zhang & Xiujian Peng, 2021. "Elasticity of Substitution Between Electricity and Non-Electric Energy in the Context of Carbon Neutrality in China," Centre of Policy Studies/IMPACT Centre Working Papers g-323, Victoria University, Centre of Policy Studies/IMPACT Centre.
    3. Hu, Yingying & Wu, Wei, 2023. "Can fossil energy make a soft landing？— the carbon-neutral pathway in China accompanying CCS," Energy Policy, Elsevier, vol. 174(C).
    4. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
    5. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).
    6. Lagomarsino, Elena, 2020. "Estimating elasticities of substitution with nested CES production functions: Where do we stand?," Energy Economics, Elsevier, vol. 88(C).
    7. Valeria Costantini & Francesco Crespi & Elena Paglialunga, 2019. "Capital–energy substitutability in manufacturing sectors: methodological and policy implications," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 157-182, June.
    8. Xin Su & Frédéric Ghersi & Fei Teng & Gaëlle Le Treut & Meicong Liang, 2022. "The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking," Post-Print hal-03897206, HAL.
    9. Parrado, Ramiro & De Cian, Enrica, 2014. "Technology spillovers embodied in international trade: Intertemporal, regional and sectoral effects in a global CGE framework," Energy Economics, Elsevier, vol. 41(C), pages 76-89.
    10. Antimiani, Alessandro & Costantini, Valeria & Martini, Chiara & Salvatici, Luca & Tommasino, Maria Cristina, 2011. "Cooperative and non-cooperative solutions to carbon leakage," Conference papers 332096, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    11. Mu, Yaqian & Wang, Can & Cai, Wenjia, 2018. "The economic impact of China's INDC: Distinguishing the roles of the renewable energy quota and the carbon market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2955-2966.
    12. Cui, Lianbiao & Li, Rongjing & Song, Malin & Zhu, Lei, 2019. "Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments?," Energy Economics, Elsevier, vol. 83(C), pages 61-73.
    13. Nong, Duy & Siriwardana, Mahinda, 2018. "Potential impacts of the Emissions Reduction Fund on the Australian economy," Energy Economics, Elsevier, vol. 74(C), pages 387-398.
    14. Guo, Jian-Xin & Tan, Xianchun & Gu, Baihe & Zhu, Kaiwei, 2022. "Integration of supply chain management of hybrid biomass power plant with carbon capture and storage operation," Renewable Energy, Elsevier, vol. 190(C), pages 1055-1065.
    15. Markandya, A. & Antimiani, A. & Costantini, V. & Martini, C. & Palma, A. & Tommasino, M.C., 2015. "Analyzing Trade-offs in International Climate Policy Options: The Case of the Green Climate Fund," World Development, Elsevier, vol. 74(C), pages 93-107.
    16. Nong, Duy, 2020. "Development of the electricity-environmental policy CGE model (GTAP-E-PowerS): A case of the carbon tax in South Africa," Energy Policy, Elsevier, vol. 140(C).
    17. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 815-876, Elsevier.
    18. Weiwei Xiong & Liang Yan & Teng Wang & Yuguo Gao, 2020. "Substitution Effect of Natural Gas and the Energy Consumption Structure Transition in China," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    19. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Research on the peak of CO2 emissions in the developing world: Current progress and future prospect," Applied Energy, Elsevier, vol. 235(C), pages 186-203.
    20. Mardones, Cristian & Ortega, José, 2021. "Are the emissions trading systems’ simulations generated with a computable general equilibrium model sensitive to the nested production structure?," Applied Energy, Elsevier, vol. 298(C).

    More about this item

    Keywords

    Carbon neutrality; China; Computable general equilibrium; Carbon capture and storage; Power generation nesting; Carbon price;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:135:y:2024:i:c:s026499932400083x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.