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Efficiency in Angolan thermal power plants: Evidence from cost structure and pollutant emissions

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  • Barros, Carlos Pestana
  • Wanke, Peter

Abstract

This research focuses on the efficiency assessment of Angolan thermal power plants using a Slacks Based Model with undesirable (bad) outputs (SBM-Undesirable). In this research, SBM-Undesirable is used first in a two-stage approach to assess the relative efficiency for these power plants. The most frequent cost structure variables adopted by literature to characterize a productive technology are used. In the second stage, Beta Regression models are combined with SBM-Undesirable efficiency scores to produce a model for predicting energy production performance. Results indicate that thermal power plants in Angola that are intensive in capital—to the detriment of labor—and that present lower unit capacity costs are more efficient and less polluting. Results also indicate the absence of a learning curve for increasing efficiency in energy generation. Policy implications are derived.

Suggested Citation

  • Barros, Carlos Pestana & Wanke, Peter, 2017. "Efficiency in Angolan thermal power plants: Evidence from cost structure and pollutant emissions," Energy, Elsevier, vol. 130(C), pages 129-143.
  • Handle: RePEc:eee:energy:v:130:y:2017:i:c:p:129-143
    DOI: 10.1016/j.energy.2017.04.114
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    2. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Abdollah Hadi-Vencheh & Peter Wanke & Ali Jamshidi, 2020. "What Does Cost Structure Have to Say about Thermal Plant Energy Efficiency? The Case from Angola," Energies, MDPI, vol. 13(9), pages 1-25, May.
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    6. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).

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    More about this item

    Keywords

    Angola; Thermal power plants; SBM-Undesirable; Two-stage; Beta Regression;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D2 - Microeconomics - - Production and Organizations
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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