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Marginal abatement cost curve of carbon emissions in China: a functional data analysis

Author

Listed:
  • Chen Shi

    (Beijing Institute of Technology)

  • Yujiao Xian

    (China University of Mining and Technology (Beijing))

  • Zhixin Wang

    (Beijing Institute of Technology)

  • Ke Wang

    (Beijing Institute of Technology
    Beijing Institute of Technology
    Sustainable Development Research Institute for Economy and Society of Beijing
    Beijing Key Lab of Energy Economics and Environmental Management)

Abstract

Marginal abatement cost curve (MACC) of carbon emissions, characterizing relationship between abatement cost and associated abatement potential, is an important instrument for setting emission reduction tasks and planning emission reduction paths. Since it is complex to formulate exclusive carbon emission reduction policies for each industry, we classify different industries according to MACC and provide corresponding carbon emission reduction policies for each category. Functional data analysis (FDA) is a powerful method for analyzing MACC which can reduce interference of noise in estimation of MACC, and deeply identify characteristics of MACC. We explore firm-level MACCs of 441 industries in China during 2008 and 2015 by utilizing FDA-based principal component analysis, cluster analysis, and linear regression analysis. We found that (i) China’s major industries tend to have a clear trend change around 50% in MACCs. (ii) Four hundred forty-one industries can be clustered into 3 categories or 6 subcategories based on value difference or both value and form differences in MACCs. (iii) Correlation between MACC and carbon intensity varies among industries, and most energy-intensive industries show a significant S-shaped relationship: MACC has a positive effect on reducing carbon intensity in its first half of curve, while a negative effect in its second half of curve.

Suggested Citation

  • Chen Shi & Yujiao Xian & Zhixin Wang & Ke Wang, 2023. "Marginal abatement cost curve of carbon emissions in China: a functional data analysis," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(2), pages 1-25, February.
    • Handle: RePEc:spr:masfgc:v:28:y:2023:i:2:d:10.1007_s11027-023-10047-8
    DOI: 10.1007/s11027-023-10047-8
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    References listed on IDEAS

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    1. Criqui, Patrick & Mima, Silvana & Viguier, Laurent, 1999. "Marginal abatement costs of CO2 emission reductions, geographical flexibility and concrete ceilings: an assessment using the POLES model," Energy Policy, Elsevier, vol. 27(10), pages 585-601, October.
    2. Lee, Chia-Yen & Wang, Ke, 2019. "Nash marginal abatement cost estimation of air pollutant emissions using the stochastic semi-nonparametric frontier," European Journal of Operational Research, Elsevier, vol. 273(1), pages 390-400.
    3. Vogt-Schilb, Adrien & Hallegatte, Stéphane, 2014. "Marginal abatement cost curves and the optimal timing of mitigation measures," Energy Policy, Elsevier, vol. 66(C), pages 645-653.
    4. Peng, Bin-Bin & Xu, Jin-Hua & Fan, Ying, 2018. "Modeling uncertainty in estimation of carbon dioxide abatement costs of energy-saving technologies for passenger cars in China," Energy Policy, Elsevier, vol. 113(C), pages 306-319.
    5. Newell, Richard G & Stavins, Robert N, 2003. "Cost Heterogeneity and the Potential Savings from Market-Based Policies," Journal of Regulatory Economics, Springer, vol. 23(1), pages 43-59, January.
    6. Wang, Shanshan & Jank, Wolfgang & Shmueli, Galit, 2008. "Explaining and Forecasting Online Auction Prices and Their Dynamics Using Functional Data Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 144-160, April.
    7. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    8. Klepper, Gernot & Peterson, Sonja, 2006. "Marginal abatement cost curves in general equilibrium: The influence of world energy prices," Resource and Energy Economics, Elsevier, vol. 28(1), pages 1-23, January.
    9. Xian, Yujiao & Yu, Dan & Wang, Ke & Yu, Jian & Huang, Zhimin, 2022. "Capturing the least costly measure of CO2 emission abatement: Evidence from the iron and steel industry in China," Energy Economics, Elsevier, vol. 106(C).
    10. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
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    1. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).

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