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Performance assessment of Portuguese wind farms: Ownership and managerial efficiency

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  • Pestana Barros, Carlos
  • Sequeira Antunes, Olinda

Abstract

This paper analyzes ownership and unobserved managerial ability as factors affecting the performance of a representative sample of Portuguese wind farms by means of frontier models. These farms are ranked according to their technical efficiency during the period 2004-2008 and homogenous and heterogeneous variables are disentangled in the cost function, which leads us to advise the implementation of common policies as well as policies by segments. Economic implications arising from the study are also considered.

Suggested Citation

  • Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:6:p:3055-3063
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    Cited by:

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    3. Santos, Marllen & González, Mario, 2019. "Factors that influence the performance of wind farms," Renewable Energy, Elsevier, vol. 135(C), pages 643-651.
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    5. Wu, Yunna & Li, Yang & Ba, Xi & Wang, Heping, 2013. "Post-evaluation indicator framework for wind farm planning in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 26-34.
    6. Lee, Jonathan M. & Howard, Gregory, 2021. "The impact of technical efficiency, innovation, and climate policy on the economic viability of renewable electricity generation," Energy Economics, Elsevier, vol. 100(C).
    7. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    8. Dario Maradin & Bojana Olgić Draženović & Saša Čegar, 2023. "The Efficiency of Offshore Wind Energy Companies in the European Countries: A DEA Approach," Energies, MDPI, vol. 16(9), pages 1-16, April.
    9. Barros, C.P. & Wanke, Peter & Dumbo, Silvestre & Manso, Jose Pires, 2017. "Efficiency in angolan hydro-electric power station: A two-stage virtual frontier dynamic DEA and simplex regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 588-596.
    10. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    11. Wu, Xiuqin & Zhao, Jinsong & Zhang, Dayong & Lee, Wen-Chieh & Yu, Chin-Hsien, 2022. "Resource misallocation and the development of hydropower industry," Applied Energy, Elsevier, vol. 306(PA).
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