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Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach

Author

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  • Bing Wang
  • Ioan Nistor
  • Tad Murty
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

Abstract

Hydropower plays a major role in the Canadian electricity generation industry. Few attempts have been made, however, to assess the efficiency of hydropower generation in Canada. This paper analyzes the overall efficiency of hydropower generation in Canada from comprehensive viewpoints of electricity generating capability, its profitability, as well as environmental benefits and social responsibility using the TOPSIS (the Technique for Order Preference by Similarity to Ideal Solution) method. The factors that influence the efficiency of the hydropower generation are also presented to help to the sustainable hydropower production in Canada. The most important results of this study concern (1) the pivotal roles of energy saving and of the social responsibility in the overall efficiency of hydropower corporates and (2) the lower hydropower generation efficiency of some of the most important economic regions in Canada. Other results reveal that the overall efficiency of hydropower generation in Canada experienced an improvement in 2012 following a downtrend from 2005 to 2011. Amidst these influencing factors, energy saving and social responsibility are key factors in the overall efficiency scores while management (defined herein by the number of employees and hydropower stations of a corporation) has only a slightly negative impact on the overall efficiency score.

Suggested Citation

  • Bing Wang & Ioan Nistor & Tad Murty & Yi-Ming Wei, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," CEEP-BIT Working Papers 66, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:66
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    1. Wang, Bing & Ke, Ruo-Yu & Yuan, Xiao-Chen & Wei, Yi-Ming, 2014. "China׳s regional assessment of renewable energy vulnerability to climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 185-195.
    2. Wang, Bing & Liang, Xiao-Jie & Zhang, Hao & Wang, Lu & Wei, Yi-Ming, 2014. "Vulnerability of hydropower generation to climate change in China: Results based on Grey forecasting model," Energy Policy, Elsevier, vol. 65(C), pages 701-707.
    3. Çelen, Aydın & Yalçın, Neşe, 2012. "Performance assessment of Turkish electricity distribution utilities: An application of combined FAHP/TOPSIS/DEA methodology to incorporate quality of service," Utilities Policy, Elsevier, vol. 23(C), pages 59-71.
    4. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    5. Jamasb, Tooraj & Nillesen, Paul & Pollitt, Michael, 2004. "Strategic behaviour under regulatory benchmarking," Energy Economics, Elsevier, vol. 26(5), pages 825-843, September.
    6. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    7. Inglesi-Lotz, Roula & Blignaut, James N., 2014. "Improving the electricity efficiency in South Africa through a benchmark-and-trade system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 833-840.
    8. Barros, Carlos Pestana, 2008. "Efficiency analysis of hydroelectric generating plants: A case study for Portugal," Energy Economics, Elsevier, vol. 30(1), pages 59-75, January.
    9. Filippini, Massimo & Hunt, Lester C., 2012. "US residential energy demand and energy efficiency: A stochastic demand frontier approach," Energy Economics, Elsevier, vol. 34(5), pages 1484-1491.
    10. Mehdi Farsi & Massimo Filippini, 2004. "Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 25(1), pages 1-19, August.
    11. Amin Afshar & Miguel Mariño & Motahareh Saadatpour & Abbas Afshar, 2011. "Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 545-563, January.
    12. Noailly, Joëlle, 2012. "Improving the energy efficiency of buildings: The impact of environmental policy on technological innovation," Energy Economics, Elsevier, vol. 34(3), pages 795-806.
    13. Barros, Carlos P. & Peypoch, Nicolas, 2007. "The determinants of cost efficiency of hydroelectric generating plants: A random frontier approach," Energy Policy, Elsevier, vol. 35(9), pages 4463-4470, September.
    14. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1649-1666, December.
    15. 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.
    16. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
    17. Xiao-Chen Yuan & Qian Wang & Ke Wang & Bing Wang & Ju-Liang Jin & Yi-Ming Wei, 2013. "China's regional vulnerability to drought and its mitigation strategies under climate change: Data envelopment analysis and analytic hierarchy process integrated approach," CEEP-BIT Working Papers 44, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Marie Minville & François Brissette & Stéphane Krau & Robert Leconte, 2009. "Adaptation to Climate Change in the Management of a Canadian Water-Resources System Exploited for Hydropower," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 2965-2986, November.
    19. Ang, B.W. & Xu, X.Y., 2013. "Tracking industrial energy efficiency trends using index decomposition analysis," Energy Economics, Elsevier, vol. 40(C), pages 1014-1021.
    20. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198, September.
    21. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    22. Jamasb, T. & Pollitt, M., 2000. "Benchmarking and regulation: international electricity experience," Utilities Policy, Elsevier, vol. 9(3), pages 107-130, September.
    23. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935, September.
    24. Christopher R. Knittel, 2002. "Alternative Regulatory Methods And Firm Efficiency: Stochastic Frontier Evidence From The U.S. Electricity Industry," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 530-540, August.
    25. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    26. Mugisha, Silver, 2007. "Effects of incentive applications on technical efficiencies: Empirical evidence from Ugandan water utilities," Utilities Policy, Elsevier, vol. 15(4), pages 225-233, December.
    27. Andrew N. Kleit & Dek Terrell, 2001. "Measuring Potential Efficiency Gains From Deregulation Of Electricity Generation: A Bayesian Approach," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 523-530, August.
    28. Ang, B.W., 2006. "Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index," Energy Policy, Elsevier, vol. 34(5), pages 574-582, March.
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    More about this item

    Keywords

    Hydropower efficiency; TOPSIS; Social responsibility; Energy saving; Benchmarking management;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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