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Estimating the cost of carbon abatement for China

In: New Directions in Productivity Measurement and Efficiency Analysis

Author

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  • Atakelty Hailu
  • Chunbo Ma

Abstract

China is now the leading source of carbon emissions, and has become the subject of a growing number of studies attempting to estimate marginal carbon abatement costs using distance functions. Provincial-level data for China are used to estimate the functions using mathematical programming (deterministic frontier) and Bayesian methods (stochastic frontiers). Carbon abatement cost estimates are compared to values reported in the literature and to market prices for carbon. The Bayesian results are found to be lower and closer to observed market prices.

Suggested Citation

  • Atakelty Hailu & Chunbo Ma, 2017. "Estimating the cost of carbon abatement for China," Chapters, in: Tihomir Ancev & M. A.S. Azad & Francesc Hernández-Sancho (ed.), New Directions in Productivity Measurement and Efficiency Analysis, chapter 11, pages 232-248, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:17409_11
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    Cited by:

    1. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    3. Chen, Simiao & Prettner, Klaus & Kuhn, Michael & Bloom, David E., 2021. "The economic burden of COVID-19 in the United States: Estimates and projections under an infection-based herd immunity approach," The Journal of the Economics of Ageing, Elsevier, vol. 20(C).

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    Keywords

    Economics and Finance; Environment;

    Statistics

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