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Malmquist Indexes Using a Geometric Distance Function (GDF). Application to a Sample of Portuguese Bank Branches

Author

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  • Maria Portela
  • Emmanuel Thanassoulis

Abstract

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Suggested Citation

  • Maria Portela & Emmanuel Thanassoulis, 2006. "Malmquist Indexes Using a Geometric Distance Function (GDF). Application to a Sample of Portuguese Bank Branches," Journal of Productivity Analysis, Springer, vol. 25(1), pages 25-41, April.
  • Handle: RePEc:kap:jproda:v:25:y:2006:i:1:p:25-41
    DOI: 10.1007/s11123-006-7124-z
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    Citations

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    Cited by:

    1. Diogo Cunha Ferreira & Rui Cunha Marques, 2016. "Malmquist and Hicks–Moorsteen Productivity Indexes for Clusters Performance Evaluation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1015-1053, September.
    2. Paulo Caldas & Diogo Cunha Ferreira & Brian Dollery & Rui Cunha Marques, 2018. "Municipal Sustainability Influence by European Union Investment Programs on the Portuguese Local Government," Sustainability, MDPI, vol. 10(4), pages 1-23, March.
    3. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    4. William Cooper & Jesús Pastor & Fernando Borras & Juan Aparicio & Diego Pastor, 2011. "BAM: a bounded adjusted measure of efficiency for use with bounded additive models," Journal of Productivity Analysis, Springer, vol. 35(2), pages 85-94, April.
    5. Thanassoulis, Emmanuel & Shiraz, Rashed Khanjani & Maniadakis, Nikolaos, 2015. "A cost Malmquist productivity index capturing group performance," European Journal of Operational Research, Elsevier, vol. 241(3), pages 796-805.
    6. Kevork, Ilias S. & Pange, Jenny & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2017. "Estimating Malmquist productivity indexes using probabilistic directional distances: An application to the European banking sector," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1125-1140.
    7. Korhonen, Pekka J. & Dehnokhalaji, Akram & Nasrabadi, Nasim, 2018. "A lexicographic radial projection onto the efficient frontier in Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1005-1012.
    8. Eskelinen, Juha & Kuosmanen, Timo, 2013. "Intertemporal efficiency analysis of sales teams of a bank: Stochastic semi-nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5163-5175.
    9. Aparicio, Juan & Garcia-Nove, Eva M. & Kapelko, Magdalena & Pastor, Jesus T., 2017. "Graph productivity change measure using the least distance to the pareto-efficient frontier in data envelopment analysis," Omega, Elsevier, vol. 72(C), pages 1-14.
    10. Paulo Caldas & Miguel Varela, 2023. "The Portuguese Public Hospitals Performance Evolution before and during the SARS-CoV-2 Pandemic (2017–2022)," Sustainability, MDPI, vol. 15(15), pages 1-31, July.
    11. M C A S Portela & E Thanassoulis & A Horncastle & T Maugg, 2011. "Productivity change in the water industry in England and Wales: application of the meta-Malmquist index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2173-2188, December.
    12. Asmild, Mette & Pastor, Jesús T., 2010. "Slack free MEA and RDM with comprehensive efficiency measures," Omega, Elsevier, vol. 38(6), pages 475-483, December.
    13. Mette Asmild & Tomas Baležentis & Jens Leth Hougaard, 2016. "Multi-directional productivity change: MEA-Malmquist," Journal of Productivity Analysis, Springer, vol. 46(2), pages 109-119, December.
    14. Ferreira, D.C. & Marques, R.C. & Nunes, A.M., 2018. "Economies of scope in the health sector: The case of Portuguese hospitals," European Journal of Operational Research, Elsevier, vol. 266(2), pages 716-735.
    15. 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, vol. 30(C), pages 18-28.
    16. Kourtzidis, Stavros & Matousek, Roman & Tzeremes, Nickolaos G., 2021. "Modelling a multi-period production process: Evidence from the Japanese regional banks," European Journal of Operational Research, Elsevier, vol. 294(1), pages 327-339.
    17. Diogo Cunha Ferreira & Rui Cunha Marques & Alexandre Morais Nunes, 2021. "Pay for performance in health care: a new best practice tariff-based tool using a log-linear piecewise frontier function and a dual–primal approach for unique solutions," Operational Research, Springer, vol. 21(3), pages 2101-2146, September.
    18. Sueyoshi, Toshiyuki & Sekitani, Kazuyuki, 2009. "An occurrence of multiple projections in DEA-based measurement of technical efficiency: Theoretical comparison among DEA models from desirable properties," European Journal of Operational Research, Elsevier, vol. 196(2), pages 764-794, July.
    19. Juan Aparicio & Fernando Borras & Lidia Ortiz & Jesus T. Pastor & Fernando Vidal, 2019. "Luenberger-type indicators based on the weighted additive distance function," Annals of Operations Research, Springer, vol. 278(1), pages 195-213, July.
    20. Alinezhad , Alireza & Nasiri Sadeghloo , Mohammad Javad, 2016. "Application of Malmquist Index in Two-Stage DEA for Measurement of Productivity Growth," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(1), pages 31-51, January.

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