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Productivity and efficiency change and shareholder value: evidence from the Spanish banking sector


  • Isidoro Guzman
  • Carmelo Reverte


Productivity change and shareholder value have been analysed in the banking sector in the last few years, although it should be noted that these two important aspects have been studied separately. In this regard, the main contribution of our study is to link these two lines of research by verifying whether those banks characterized by higher levels of efficiency and productivity change have a higher shareholder value. To measure changes in efficiency and productivity we use the Malmquist nonparametric technique, which is calculated from Data Envelopment Analysis (DEA) linear programming approach. The Malmquist total factor productivity index enables separation of the 'catching up' effect, i.e. changes over time in technical efficiency, from 'technological change', i.e. the shift of best practice frontier over time due to technological progress. Our results for a sample of listed Spanish banks in the period 2000 to 2004 confirm that those banks with higher efficiency and productivity changes have a higher shareholder value, even after controlling for the impact of traditional measures of performance, such as return on assets.

Suggested Citation

  • Isidoro Guzman & Carmelo Reverte, 2008. "Productivity and efficiency change and shareholder value: evidence from the Spanish banking sector," Applied Economics, Taylor & Francis Journals, vol. 40(15), pages 2037-2044.
  • Handle: RePEc:taf:applec:v:40:y:2008:i:15:p:2037-2044
    DOI: 10.1080/00036840600949413

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    References listed on IDEAS

    1. Razin, Assaf & Sadka, Efraim, 2001. "Country risk and capital flow reversals," Economics Letters, Elsevier, vol. 72(1), pages 73-77, July.
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    Cited by:

    1. Kao, Chiang, 2010. "Malmquist productivity index based on common-weights DEA: The case of Taiwan forests after reorganization," Omega, Elsevier, vol. 38(6), pages 484-491, December.
    2. Aiello, Francesco & Bonanno, Graziella, 2014. "On the Sources of Heterogeneity in Banking Efficiency Literature," MPRA Paper 58591, University Library of Munich, Germany.
    3. Boon L. Lee, 2013. "Productivity, technical and efficiency change in Singapore's services sector, 2005 to 2008," Applied Economics, Taylor & Francis Journals, vol. 45(15), pages 2023-2029, May.
    4. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    5. Rangkakulnuwat, Poomthan & Wang, H. Holly, 2011. "Productivity growth decomposition with FE-IV approach: Rethinking Thai commercial banks after the financial crisis," Economic Modelling, Elsevier, vol. 28(6), pages 2579-2588.
    6. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    7. Abul Shamsuddin & Dong Xiang, 2012. "Does bank efficiency matter? Market value relevance of bank efficiency in Australia," Applied Economics, Taylor & Francis Journals, vol. 44(27), pages 3563-3572, September.
    8. Boon L Lee, 2012. "Efficiency and Productivity of Singapore's Manufacturing Sector 2001-2010: An analysis using Simar and Wilson's (2007) bootstrapped truncated approach," School of Economics and Finance Discussion Papers and Working Papers Series 283, School of Economics and Finance, Queensland University of Technology.
    9. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2009. "Productivity growth and biased technological change: Credit banks in Japan," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 924-936, December.
    10. Chiu, Yung-ho & Luo, Zhengying & Chen, Yu-Chuan & Wang, Zebin & Tsai, Min-Pei, 2013. "A comparison of operating performance management between Taiwan banks and foreign banks based on the Meta-Hybrid DEA model," Economic Modelling, Elsevier, vol. 33(C), pages 433-439.

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