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Productivity growth and biased technological change in hydroelectric dams

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  • Briec, Walter
  • Peypoch, Nicolas
  • Ratsimbanierana, Hermann

Abstract

This paper analyses productivity growth and the nature of technical change in a sample of Portuguese hydroelectric generating plants over the period 2001 to 2008. In a first step, we employ the Luenberger productivity indicator to estimate and decompose productivity change. A Malmquist productivity index is also used for a comparative purpose. The results paint a picture of mixed productivity performance in the Portuguese energy sector. The first decomposition underlines that, in average, the productivity variation is explained by the technological change. Then, in a second step, we analyse the nature of this technical change by using the recent concept of parallel neutrality (Briec et al., 2006). We observe a global shift in the best practice frontier as well as in the evidence of input bias in technical change.

Suggested Citation

  • Briec, Walter & Peypoch, Nicolas & Ratsimbanierana, Hermann, 2011. "Productivity growth and biased technological change in hydroelectric dams," Energy Economics, Elsevier, vol. 33(5), pages 853-858, September.
  • Handle: RePEc:eee:eneeco:v:33:y:2011:i:5:p:853-858
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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, pages 511-517.
    2. Andreas, Eder & Bernhard, Mahlberg & Bernhard, Stürmer, 2017. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," MPRA Paper 79826, University Library of Munich, Germany.
    3. Molinos-Senante, María & Maziotis, Alexandros & Sala-Garrido, Ramón, 2014. "The Luenberger productivity indicator in the water industry: An empirical analysis for England and Wales," Utilities Policy, Elsevier, pages 18-28.
    4. Yang, Fuxia & Yang, Mian, 2015. "Analysis on China's eco-innovations: Regulation context, intertemporal change and regional differences," European Journal of Operational Research, Elsevier, vol. 247(3), pages 1003-1012.
    5. Chia-Nan Wang & Han-Sung Lin & Hsien-Pin Hsu & Van-Tinh Le & Tsung-Fu Lin, 2016. "Applying Data Envelopment Analysis and Grey Model for the Productivity Evaluation of Vietnamese Agroforestry Industry," Sustainability, MDPI, Open Access Journal, vol. 8(11), pages 1-15, November.
    6. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, pages 136-144.
    7. Tomas Baležentis, 2014. "Total factor productivity in the Lithuanian family farms after accession to the EU: application of the bias-corrected Malmquist indices," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, pages 731-746.
    8. repec:eee:touman:v:65:y:2018:i:c:p:131-142 is not listed on IDEAS
    9. repec:eee:touman:v:33:y:2012:i:5:p:1122-1127 is not listed on IDEAS

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