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The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking

Author

Listed:
  • Xin Su

    (Tsinghua University)

  • Frédéric Ghersi

    (CIRED - Centre International de Recherche Sur L’Environnement Et Le Développement’
    CNRS - Centre National de La Recherche Scientifique)

  • Fei Teng

    (Tsinghua University)

  • Gaëlle Treut

    (CIRED - Centre International de Recherche Sur L’Environnement Et Le Développement’)

  • Meicong Liang

    (Tsinghua University)

Abstract

The development of mid-century low-emission development strategies is critical to guiding national actions on long-term mitigation. One of the key concerns in developing mitigation strategies is the cost of the low-carbon transition. In this study, we estimate the macroeconomic cost of a deep decarbonisation pathway for China, by integrating an energy-systems optimisation model with an economic model through hard linking. Our results indicate that deep decarbonisation increases the energy expenses of Chinese households in the mid-run due to the higher cost of electricity. However, firms will benefit from moderate decarbonisation as a result of a reduction in coal and oil consumption. As a result, energy-efficiency improvements lead to a reduction in firms’ total energy costs, partially compensating the crowding-out effect of low-carbon investments on general productive capital. Our mitigation scenario has therefore a small macroeconomic cost compared to business as usual, equal to a lag in the growth of less than one year in 2050.

Suggested Citation

  • Xin Su & Frédéric Ghersi & Fei Teng & Gaëlle 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," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-37, January.
  • Handle: RePEc:spr:masfgc:v:27:y:2022:i:1:d:10.1007_s11027-021-09979-w
    DOI: 10.1007/s11027-021-09979-w
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    as
    1. Gupta, Dipti & Ghersi, Frédéric & Vishwanathan, Saritha S. & Garg, Amit, 2019. "Achieving sustainable development in India along low carbon pathways: Macroeconomic assessment," World Development, Elsevier, vol. 123(C), pages 1-1.
    2. Kenneth C. Hoffman & Dale W. Jorgenson, 1977. "Economic and Technological Models for Evaluation of Energy Policy," Bell Journal of Economics, The RAND Corporation, vol. 8(2), pages 444-466, Autumn.
    3. Soummane, Salaheddine & Ghersi, Frédéric & Lefèvre, Julien, 2019. "Macroeconomic pathways of the Saudi economy: The challenge of global mitigation action versus the opportunity of national energy reforms," Energy Policy, Elsevier, vol. 130(C), pages 263-282.
    4. Cohen, Stuart M. & Caron, Justin, 2018. "The economic impacts of high wind penetration scenarios in the United States," Energy Economics, Elsevier, vol. 76(C), pages 558-573.
    5. Zhang, Yanfang & Shi, Xunpeng & Qian, Xiangyan & Chen, Sai & Nie, Rui, 2021. "Macroeconomic effect of energy transition to carbon neutrality: Evidence from China's coal capacity cut policy," Energy Policy, Elsevier, vol. 155(C).
    6. Yang, Xi & Teng, Fei & Xi, Xiaoqian & Khayrullin, Egor & Zhang, Qi, 2018. "Cost–benefit analysis of China’s Intended Nationally Determined Contributions based on carbon marginal cost curves," Applied Energy, Elsevier, vol. 227(C), pages 415-425.
    7. Yingying Lu & David I. Stern, 2016. "Substitutability and the Cost of Climate Mitigation Policy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(1), pages 81-107, May.
    8. Jacobsson, Staffan & Lauber, Volkmar, 2006. "The politics and policy of energy system transformation--explaining the German diffusion of renewable energy technology," Energy Policy, Elsevier, vol. 34(3), pages 256-276, February.
    9. Maryse Labriet & Laurent Drouet & Marc Vielle & Richard Loulou & Amit Kanudia & Alain Haurie, 2015. "Assessment of the Effectiveness of Global Climate Policies Using Coupled Bottom-up and Top-down Models," Working Papers 2015.23, Fondazione Eni Enrico Mattei.
    10. Lucas Bretschger & Karen Pittel, 2020. "Twenty Key Challenges in Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 725-750, December.
    11. Krook-Riekkola, Anna & Berg, Charlotte & Ahlgren, Erik O. & Söderholm, Patrik, 2017. "Challenges in top-down and bottom-up soft-linking: Lessons from linking a Swedish energy system model with a CGE model," Energy, Elsevier, vol. 141(C), pages 803-817.
    12. Soren T. Anderson & Ian W. H. Parry & James M. Sallee & Carolyn Fischer, 2011. "Automobile Fuel Economy Standards: Impacts, Efficiency, and Alternatives," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 5(1), pages 89-108, Winter.
    13. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
    14. Wene, C.-O., 1996. "Energy-economy analysis: Linking the macroeconomic and systems engineering approaches," Energy, Elsevier, vol. 21(9), pages 809-824.
    15. Abrell, Jan & Rausch, Sebastian, 2016. "Cross-country electricity trade, renewable energy and European transmission infrastructure policy," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 87-113.
    16. Chen, Wenying, 2005. "The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling," Energy Policy, Elsevier, vol. 33(7), pages 885-896, May.
    17. Duan, Hong-Bo & Zhu, Lei & Fan, Ying, 2014. "Optimal carbon taxes in carbon-constrained China: A logistic-induced energy economic hybrid model," Energy, Elsevier, vol. 69(C), pages 345-356.
    18. Henri Waisman & Christine Bataille & Harald Winkler & Frank Jotzo & Priyadarshi Shukla & Michel Colombier & Daniel Buira & Patrick Criqui & Manfred Fischedick & Mikiko Kainuma & Emilio La Rovere & Ste, 2019. "A pathway design framework for national low greenhouse gas emission development strategies," Post-Print hal-02079339, HAL.
    19. Helgesen, Per Ivar & Tomasgard, Asgeir, 2018. "From linking to integration of energy system models and computational general equilibrium models – Effects on equilibria and convergence," Energy, Elsevier, vol. 159(C), pages 1218-1233.
    20. Jean Charles Hourcade & Mark Jaccard & Chris Bataille & Frédéric Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges," Post-Print halshs-00471234, HAL.
    21. Soummane, Salaheddine & Ghersi, Frédéric & Lefèvre, Julien, 2019. "Macroeconomic pathways of the Saudi economy: The challenge of global mitigation action versus the opportunity of national energy reforms," Energy Policy, Elsevier, vol. 130(C), pages 263-282.
    22. Henri Waisman & Chris Bataille & Harald Winkler & Frank Jotzo & Priyadarshi Shukla & Michel Colombier & Daniel Buira & Patrick Criqui & Manfred Fischedick & Mikiko Kainuma & Emilio Rovere & Steve Pye , 2019. "A pathway design framework for national low greenhouse gas emission development strategies," Nature Climate Change, Nature, vol. 9(4), pages 261-268, April.
    23. Frédéric Ghersi, 2015. "Hybrid Bottom-up/Top-down Energy and Economy Outlooks: A Review of IMACLIM-S Experiments," Post-Print hal-01682272, HAL.
    24. Patricia Fortes & Sofia Simões & Júlia Seixas & Denise Van Regemorter & Francisco Ferreira, 2013. "Top-down and bottom-up modelling to support low-carbon scenarios: climate policy implications," Climate Policy, Taylor & Francis Journals, vol. 13(3), pages 285-304, May.
    25. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    26. Zhang, Da & Rausch, Sebastian & Karplus, Valerie J. & Zhang, Xiliang, 2013. "Quantifying regional economic impacts of CO2 intensity targets in China," Energy Economics, Elsevier, vol. 40(C), pages 687-701.
    27. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    28. Rausch, Sebastian & Mowers, Matthew, 2014. "Distributional and efficiency impacts of clean and renewable energy standards for electricity," Resource and Energy Economics, Elsevier, vol. 36(2), pages 556-585.
    29. Jean-Charles Hourcade, Mark Jaccard, Chris Bataille, and Frederic Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-12.
    30. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    31. Martinsen, Thomas, 2011. "Introducing technology learning for energy technologies in a national CGE model through soft links to global and national energy models," Energy Policy, Elsevier, vol. 39(6), pages 3327-3336, June.
    32. Shinichiro Fujimori & Ken Oshiro & Hiroto Shiraki & Tomoko Hasegawa, 2019. "Energy transformation cost for the Japanese mid-century strategy," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    33. Chen, Wenying & Wu, Zongxin & He, Jiankun & Gao, Pengfei & Xu, Shaofeng, 2007. "Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model," Energy, Elsevier, vol. 32(1), pages 59-72.
    34. Bataille, Chris & Melton, Noel, 2017. "Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012," Energy Economics, Elsevier, vol. 64(C), pages 118-130.
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