IDEAS home Printed from https://ideas.repec.org/a/eko/ekoeko/22_28.html
   My bibliography  Save this article

Quality and efficiency in the local government-methodological approach

Author

Listed:
  • Krzysztof Opolski
  • Piotr Modzelewski

Abstract

Requirements imposed on public administration make it necessary to use more perfect tools to assure its efficient functioning. The methodology of measuring the quality and efficiency in the local government administration is a creative synthesis of theory of the economy, administration and the phraseology as well. It is necessary to define a lot of aspects connected with the aims of public administration and to introduce variables which can be used in empirical investigations at offices of the local government administration. This article deals with the ways of measuring organizational effectiveness of the local departments and with the measurement of the quality of the public services concerning requirements of the quality management system. The possibility of using methods of measuring the efficiency of allocation of resources, scale efficiency and technical effectiveness was shown. The efficiency and quality of the local departments was compared. Presented methods of the measurement make it possible to check the results how the local government administration functions, however they may also be implemented in the central level of administration.

Suggested Citation

  • Krzysztof Opolski & Piotr Modzelewski, 2009. "Quality and efficiency in the local government-methodological approach," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 22.
    • Handle: RePEc:eko:ekoeko:22_28
    as

    Download full text from publisher

    File URL: http://ekonomia.wne.uw.edu.pl/ekonomia/getFile/683
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rees, Albert, 1980. "Improving Productivity Measurement," American Economic Review, American Economic Association, vol. 70(2), pages 340-342, May.
    2. M. Stone, 2002. "How not to measure the efficiency of public services (and how one might)," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 405-434, October.
    3. A S Camanho & R G Dyson, 2005. "Cost efficiency, production and value-added models in the analysis of bank branch performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 483-494, May.
    4. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, January.
    5. Aly, Hassan Y, et al, 1990. "Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 211-218, May.
    6. Camanho, A. S. & Dyson, R. G., 2005. "Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments," European Journal of Operational Research, Elsevier, vol. 161(2), pages 432-446, March.
    7. Leibenstein, Harvey & Maital, Shlomo, 1992. "Empirical Estimation and Partitioning of X-Inefficiency: A Data-Envelopment Approach," American Economic Review, American Economic Association, vol. 82(2), pages 428-433, May.
    8. Peter Smith, 1990. "The Use of Performance Indicators in the Public Sector," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 153(1), pages 53-72, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Paul Hewson & Keming Yu, 2008. "Quantile regression for binary performance indicators," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(5), pages 401-418, September.
    3. Simar, Leopold & Wilson, Paul, 2018. "Technical, Allocative and Overall Efficiency: Inference and Hypothesis Testing," LIDAM Discussion Papers ISBA 2018018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Nicholas Longford & D. B. Rubin, 2006. "Performance assessment and league tables. Comparing like with like," Economics Working Papers 994, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Gstach, Dieter, 1993. "Comparing Structural Efficiency of Unbalanced Subsamples: A Resampling Adaptation of Data Envelopment Analysis," Department of Economics Working Paper Series 24, WU Vienna University of Economics and Business.
    6. Bădin, Luiza & Daraio, Cinzia & Simar, Léopold, 2012. "How to measure the impact of environmental factors in a nonparametric production model," European Journal of Operational Research, Elsevier, vol. 223(3), pages 818-833.
    7. Simar, Léopold & Wilson, Paul W., 2020. "Technical, allocative and overall efficiency: Estimation and inference," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1164-1176.
    8. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    9. repec:zbw:bofrdp:1993_014 is not listed on IDEAS
    10. Zangin Zeebari & Kristofer Månsson & Pär Sjölander & Magnus Söderberg, 2023. "Regularized conditional estimators of unit inefficiency in stochastic frontier analysis, with application to electricity distribution market," Journal of Productivity Analysis, Springer, vol. 59(1), pages 79-97, February.
    11. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    12. Sambracos, Evangelos & Maniati, Marina, 2015. "Technical Efficiency of Shipping Banks: A DEA Approach," MPRA Paper 63131, University Library of Munich, Germany.
    13. Kuussaari, Harri, 1993. "Productive efficiency in Finnish local banking during 1985-1990," Research Discussion Papers 14/1993, Bank of Finland.
    14. Sufian, Fadzlan, 2011. "Banks total factor productivity change in a developing economy: Does ownership and origins matter?," Journal of Asian Economics, Elsevier, vol. 22(1), pages 84-98, February.
    15. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    16. Mahmoudabadi, Mohammad Zarei & Emrouznejad, Ali, 2019. "Comprehensive performance evaluation of banking branches: A three-stage slacks-based measure (SBM) data envelopment analysis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 359-376.
    17. Wang, Wei-Kang & Lu, Wen-Min & Lin, Yi-Ling, 2012. "Does corporate governance play an important role in BHC performance? Evidence from the U.S," Economic Modelling, Elsevier, vol. 29(3), pages 751-760.
    18. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    19. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    20. Fernando Antonio Slaibe Postali, 2016. "Oil windfalls and X-inefficiency: evidence from Brazil," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(5), pages 699-718, October.
    21. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.

    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:eko:ekoeko:22_28. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    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.