IDEAS home Printed from https://ideas.repec.org/a/vrs/ecothe/v58y2020i3p291-310n1.html
   My bibliography  Save this article

DEA Window Analysis of Insurance Sector Efficiency in the Republic of Serbia

Author

Listed:
  • Đurić Zlata

    (University of Kragujevac, Faculty of Economics, Republic of Serbia)

  • Jakšić Milena

    (University of Kragujevac, Faculty of Economics, Republic of Serbia)

  • Krstić Ana

    (University of Kragujevac, Faculty of Economics, Republic of Serbia)

Abstract

Insurance market is characterized by growing competition. This has imposed needs relating to the continuous capacity building of insurance companies, the continuous improvement of operating results and the assessment of the effects of insurers’ financial investment. The ultimate goal of these activities is to implement the planned goals and achieve positive business results. It is evident that the financial stability and efficiency of the insurance sector strengthens the confidence of citizens in this type of financial intermediaries. Bearing in mind the importance of the insurance sector for the financial system and economic system growth and development, the research subject is the analysis of the insurance sector efficiency in the Republic of Serbia. The main research objective is to look at the insurance sector efficiency through the performance analysis of nine selected insurance companies in the period 2007-2018, using DEA window analysis. The analysis and systematization of theoretical research findings, along with empirical data interpretation, description and comparison yielded results pointing to very poor performance of the insurance sector as a whole, because in all years of the observed period the relative average efficiency (technical, pure technical and scale efficiency) was below 100%, especially in the period 2015-2018.

Suggested Citation

  • Đurić Zlata & Jakšić Milena & Krstić Ana, 2020. "DEA Window Analysis of Insurance Sector Efficiency in the Republic of Serbia," Economic Themes, Sciendo, vol. 58(3), pages 291-310, September.
  • Handle: RePEc:vrs:ecothe:v:58:y:2020:i:3:p:291-310:n:1
    DOI: 10.2478/ethemes-2020-0017
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ethemes-2020-0017
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ethemes-2020-0017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lee, Chien-Chiang & Chang, Chi-Hung & Arouri, Mohamed & Lee, Chi-Chuan, 2016. "Economic growth and insurance development: The role of institutional environments," Economic Modelling, Elsevier, vol. 59(C), pages 361-369.
    2. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    3. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    4. Martin Eling & Michael Luhnen, 2010. "Frontier Efficiency Methodologies to Measure Performance in the Insurance Industry: Overview, Systematization, and Recent Developments," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(2), pages 217-265, April.
    5. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, December.
    6. J. François Outreville, 2013. "The Relationship Between Insurance and Economic Development: 85 Empirical Papers for a Review of the Literature," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(1), pages 71-122, March.
    7. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    8. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Katerina Fotova Čiković & Violeta Cvetkoska & Mila Mitreva, 2024. "Investigating the Efficiency of Insurance Companies in a Developing Country: A Data Envelopment Analysis Perspective," Economies, MDPI, vol. 12(6), pages 1-20, May.

    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. Kottas, Angelos T. & Madas, Michael A., 2018. "Comparative efficiency analysis of major international airlines using Data Envelopment Analysis: Exploring effects of alliance membership and other operational efficiency determinants," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 1-17.
    2. Jun-Der Leu & Wen-Hsien Tsai & Mei-Niang Fan & Sophia Chuang, 2020. "Benchmarking Sustainable Manufacturing: A DEA-Based Method and Application," Energies, MDPI, vol. 13(22), pages 1-21, November.
    3. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    4. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    5. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    6. Toloo, Mehdi & Hančlová, Jana, 2020. "Multi-valued measures in DEA in the presence of undesirable outputs," Omega, Elsevier, vol. 94(C).
    7. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    8. Dean Uèkar & Danijel Petroviæ, 2021. "Efficiency of banks in Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 39(2), pages 349-379.
    9. Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2016. "Revisiting the standing of international business journals in the competitive landscape," Journal of World Business, Elsevier, vol. 51(4), pages 487-498.
    10. Gholam R. Amin & Osama El‐Temtamy & Samy Garas, 2022. "Audit Risk Evaluation Using Data Envelopment Analysis with Ordinal Data," Abacus, Accounting Foundation, University of Sydney, vol. 58(3), pages 589-602, September.
    11. Dariush Khezrimotlagh & Wade D. Cook & Joe Zhu, 2021. "Number of performance measures versus number of decision making units in DEA," Annals of Operations Research, Springer, vol. 303(1), pages 529-562, August.
    12. Sarmento, Joaquim Miranda & Renneboog, Luc & Verga-Matos, Pedro, 2017. "Measuring highway efficiency : A DEA approach and the Malquist index," Other publications TiSEM 23264815-321e-45a3-83ee-9, Tilburg University, School of Economics and Management.
    13. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    14. Tüselmann, Heinz & Sinkovics, Rudolf R. & Pishchulov, Grigory, 2015. "Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis," Omega, Elsevier, vol. 51(C), pages 11-23.
    15. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
    16. Fabienne Miller & Justin Wang & Joe Zhu & Ya Chen & Jason Hockenberry, 2017. "Investigation of the Impact of the Massachusetts Health Care Reform on Hospital Costs and Quality of Care," Annals of Operations Research, Springer, vol. 250(1), pages 129-146, March.
    17. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    18. Yang, Guoliang & Ahlgren, Per & Yang, Liying & Rousseau, Ronald & Ding, Jielan, 2016. "Using multi-level frontiers in DEA models to grade countries/territories," Journal of Informetrics, Elsevier, vol. 10(1), pages 238-253.
    19. L sara Fabr cia Rodrigues & Matheus Alves Madeira de Souza & Thamara Paula dos Santos Dias, 2017. "Performance Assessment of Brazilian Power Transmission and Distribution Segments using Data Envelopment Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 14-23.
    20. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.

    More about this item

    Keywords

    insurance; performance; efficiency; DEA Window Analysis; Republic of Serbia;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

    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:vrs:ecothe:v:58:y:2020:i:3:p:291-310:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.