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DEA-based Malmquist productivity indexes for understanding courts reform

Citations

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Cited by:

  1. Paolo Mazzocchi & Claudio Quintano & Antonella Rocca, 2024. "Efficiency analysis using SBM and PLS-SEM: insights from the Italian judicial system," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5621-5654, December.
  2. Kristiaan KERSTENS & Xiaoqing CHEN, 2022. "Evaluating Horizontal Mergers in Swedish District Courts Using Plant Capacity Concepts: With a Focus on Nonconvexity," Working Papers 2022-EQM-02, IESEG School of Management.
  3. Maria Stachova & Jan Hunady, 2025. "Using a Two-Step Clustering Approach to Examine Judiciary Efficiency in European Countries," Economic Research Guardian, Mutascu Publishing, vol. 15(1), pages 142-160, June.
  4. Giacalone, Massimiliano & Nissi, Eugenia & Cusatelli, Carlo, 2020. "Dynamic efficiency evaluation of Italian judicial system using DEA based Malmquist productivity indexes," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
  5. Gupta, Maansi & Bolia, Nomesh B., 2024. "Factors affecting efficient discharge of judicial functions: Insights from Indian courts," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
  6. Bansal, Pooja & Kumar, Sunil & Mehra, Aparna & Gulati, Rachita, 2022. "Developing two dynamic Malmquist-Luenberger productivity indices: An illustrated application for assessing productivity performance of Indian banks," Omega, Elsevier, vol. 107(C).
  7. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "Correction to: A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 141-142, August.
  8. Francesco Aiello & Graziella Bonanno & Francesco Foglia, 2021. "On The Heterogeneity In The Judicial Efficiency Literature: A Meta-Regression Analysis," Working Papers 202102, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
  9. Ángel Martín-Román & Alfonso Moral & Virginia Rosales, 2025. "Judges and court productivity: evidence from Spanish labour courts," European Journal of Law and Economics, Springer, vol. 60(2), pages 249-283, October.
  10. Chen, Xiaoqing & Kerstens, Kristiaan & Tsionas, Mike, 2024. "Does productivity change at all in Swedish district courts? Empirical analysis focusing on horizontal mergers," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
  11. Aparicio, Juan & Santín, Daniel, 2026. "The standard total factor productivity index and its decomposition," European Journal of Operational Research, Elsevier, vol. 329(3), pages 981-1003.
  12. Per J. Agrell & Pontus Mattsson & Jonas Månsson, 2020. "Impacts on efficiency of merging the Swedish district courts," Annals of Operations Research, Springer, vol. 288(2), pages 653-679, May.
  13. Lombardo, Rosaria & Camminatiello, Ida & D'Ambra, Antonello & Beh, Eric J., 2021. "Assessing the Italian tax courts system by weighted three-way log-ratio analysis," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
  14. Gupta, Maansi & Bolia, Nomesh B., 2020. "Efficiency measurement of Indian high courts using DEA: A policy perspective," Journal of Policy Modeling, Elsevier, vol. 42(6), pages 1372-1393.
  15. Xiaoqing Chen & Kristiaan Kerstens & Qingyuan Zhu, 2021. "Exploring Horizontal Mergers in Swedish District Courts Using Convex and Nonconvex Technologies: Usefulness of a Conservative Approach," Working Papers 2021-EQM-05, IESEG School of Management.
  16. Aparicio, Juan & Santín, Daniel, 2024. "Global and local technical changes: A new decomposition of the Malmquist productivity index using virtual units," Economic Modelling, Elsevier, vol. 134(C).
  17. Calabrese, Giuseppe Giulio & Falavigna, Greta, 2024. "Do social cooperatives stimulate social change? An investigation on Italian firms based on DEA-Malmquist approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  18. Alireza Amirteimoori & Tofigh Allahviranloo & Maryam Nematizadeh, 2024. "A firm-specific Malmquist productivity index model for stochastic data envelopment analysis: an application to commercial banks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-27, December.
  19. Jonas Månsson & Christian Andersson & Fredrik Bonander, 2022. "What lessons can be learned from cost efficiency? The case of Swedish district courts," European Journal of Law and Economics, Springer, vol. 54(3), pages 431-451, December.
  20. Maansi Gupta & Nomesh B. Bolia, 2024. "Redistribution of judicial resources for improved performance," Annals of Operations Research, Springer, vol. 342(3), pages 2147-2168, November.
  21. Falavigna, G. & Ippoliti, R., 2020. "The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  22. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).
  23. Pereira, Miguel Alves & Bădin, Luiza & Kerstens, Kristiaan & Silva, Maria Conceição, 2025. "An integrative approach to reviewing the literature on judicial efficiency in Europe," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
  24. Mattsson, Pontus & Tidanå, Claes, 2019. "Potential efficiency effects of merging the Swedish district courts," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 58-68.
  25. Lopes, Nuno Q.M. & Silva, Maria C.A., 2024. "Scale and scope economies in first-instance courts: Portuguese specialized vs non-specialized courts," International Review of Law and Economics, Elsevier, vol. 79(C).
  26. Falavigna, G. & Ippoliti, R., 2021. "Reform policy to increase the judicial efficiency in Italy: The opportunity offered by EU post-Covid funds," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 923-943.
  27. Wei, Fangqing & Peng, Fei & Liu, Mengyue & Jiang, Ruixue, 2024. "Carbon productivity growth in China's thermal power industry: Empirical evidence using a bootstrapped Malmquist-Luenberger productivity index approach with fixed-sum undesirable outputs," Energy, Elsevier, vol. 304(C).
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