IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04548513.html

Does productivity change at all in Swedish district courts? Empirical analysis focusing on horizontal mergers

Author

Listed:
  • Xiaoqing Chen

    (NUIST - Nanjing University of Information Science and Technology)

  • Kristiaan Kerstens

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Mike Tsionas

    (Montpellier Business School)

Abstract

This contribution is the first to compare the Malmquist and Hicks-Moorsteen productivity indices in the context of horizontal mergers of Swedish district courts during the period 2000-2017. It is also the first to calculate these productivity indices for convex and nonconvex nonparametric frontier specifications in courts under both constant and variable returns to scale. Moreover, a one-sample symmetric Wilcoxon test and a t-test are performed on the average productivity index to determine whether it is significantly different from unity. Also Li-test statistics examine the differences in productivity between these two indices or between convexity and nonconvexity for a given index. Furthermore, we compare these two productivity indices before and after the mergers to investigate the impact of the horizontal merger activity. The empirical results indicate that overall there is no significant technical change at all. Furthermore, horizontal mergers overall do neither result in technical change, nor in post-merger productivity gains.

Suggested Citation

  • Xiaoqing Chen & Kristiaan Kerstens & Mike Tsionas, 2024. "Does productivity change at all in Swedish district courts? Empirical analysis focusing on horizontal mergers," Post-Print hal-04548513, HAL.
    • Handle: RePEc:hal:journl:hal-04548513
    DOI: 10.1016/j.seps.2023.101787
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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).
    3. Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2025. "Statistical inference for Hicks–Moorsteen productivity indices," Annals of Operations Research, Springer, vol. 351(2), pages 1675-1703, August.
    4. 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).
    5. Xiaoqing Chen & Kristiaan Kerstens & Qingyuan Zhu, 2025. "Exploring horizontal mergers in Swedish district courts using technical and scale efficiency: rejecting convexity in favour of nonconvexity," Annals of Operations Research, Springer, vol. 351(2), pages 1319-1351, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04548513. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.