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A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level

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  • Wang, Nannan
  • Chen, Ji
  • Yao, Shengnan
  • Chang, Yen-Chiang

Abstract

Carbon reduction technologies such as renewable energy, nuclear energy and CCS technology for the power industry play a significant role in achieving low-carbon development goals. This research employed a meta-frontier DEA approach to evaluate carbon reduction efficiency of technologies on project level. The sample consists of several groups of projects such as nuclear energy, hydro-electric energy, wind energy, solar energy and biomass energy and CCS technology in power plants. The comparison study takes consideration the carbon reduction efficiency gap and management level of different technologies for the power industry. The results reveal that 1) Biomass energy power plants and conventional power plants installed with CCS have the highest efficiency in carbon reduction efficiency, with potential improvement in management. 2) Nuclear power plants show a high efficiency in carbon reduction while facing some constraints from safety and stability issues. 3) Although wind power, hydro-electric power and solar power have been exploited in power generation for a long time, they still have low efficiency in reducing carbon emission from the power industry. Suggestions are provided for policy makers to choose appropriate low-carbon development route of the power industry.

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  • Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    • Handle: RePEc:eee:rensus:v:82:y:2018:i:p3:p:2606-2612
    DOI: 10.1016/j.rser.2017.09.088
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    4. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    5. Wei, Wei & Han, Ying & Abedin, Mohammad Zoynul & Ma, Jingjing & Chai, Shanglei, 2023. "Empirical study on the technical efficiency and total factor productivity of power industry: Evidence from Chinese provinces," Energy Economics, Elsevier, vol. 128(C).
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    8. Malgorzata Klaudia Guzowska & Barbara Kryk, 2021. "Efficiency of Implementing Climate/Energy Targets of the Europe 2020 Strategy and the Structural Diversity between Old and New Member States," Energies, MDPI, vol. 14(24), pages 1-18, December.
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