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Autor
Přečková Lenka (Silesian University, School of Business Administration, Karvina, Czech Republic), Palečková Iveta (Silesian University, School of Business Administration, Karvina, Czech Republic)
Tytuł
Evaluation of Technical Efficiency of Insurance Companies in the Visegrad Group Countries
Ocena efektywności technicznej firm ubezpieczeniowych w krajach grupy wyszehradzkiej
Źródło
Ekonomista, 2020, nr 6, s. 862-880, tab., bibliogr. 48 poz.
Słowa kluczowe
Sektor ubezpieczeniowy, Efektywność techniczna, Metoda DEA (analiza obwiedni danych)
Insurance sector, Technical efficiency, Data Envelopment Analysis (DEA)
Uwagi
Klasyfikacja JEL: G22, G14, C23
streszcz., summ., rez.
The research behind this paper was supported by the Czech Science Foundation within the project GAČR 16-17796S 'Affiliation with financial conglomerate as a determinant of performance and risk of banks'.
Kraj/Region
Kraje Grupy Wyszehradzkiej
Visegrad Group countries
Abstrakt
Celem artykułu jest oszacowanie i ocena efektywności technicznej firm ubezpieczeniowych w krajach Grupy Wyszehradzkiej w okresie 2009-2016. Ocena ta została dokonana na podstawie analizy przeprowadzonej metodą DEA. Sektor ubezpieczeniowy w tych krajach podlegał znacznym zmianom w badanym okresie. Wyniki analizy wskazują, że okresie tym średnia efektywność firm ubezpieczeniowych wynosiła około 65-80%. Istniały jednak pod tym względem znaczne różnice pomiędzy poszczególnymi firmami ubezpieczeniowymi i poszczególnymi krajami. Najwyższą efektywność wykazywał sektor ubezpieczeniowy na Węgrzech i w Polsce, a najniższą w Słowacji. Ogólnie biorąc, w badanym okresie występowała prawie stabilna tendencja wzrostu efektywności, ze spadkiem odnotowanym w latach 2012 i 2014. Przyczyną tego spadku był spadek liczby ubezpieczonych jednostek, spadek dochodów netto i wysoki poziom kosztów. (abstrakt oryginalny)

The aim of the paper is to estimate the technical efficiency of insurance providers in the Visegrad Group countries in the period 2009-2016 using data envelopment analysis (DEA). The insurance sector in these countries underwent significant changes in the analysed period. during the last two decades. According to the results of the analysis, the average efficiency of insurance companies was approximately 65-80% in the period under study. There were, however, considerable differences among individual insurance companies as well as among the national insurance sectors. The most efficient insurance sectors were those of Hungary and Poland, and the least efficient that of Slovakia. The overall development of efficiency was almost stable, and efficiency decreased in 2012 and 2014. The reason for the inefficiency fall was the decrease in number of premiums written and net income and the high level of costs. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Bibliografia
Pokaż
  1. Banker R.D., Charnes A., Cooper W.W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, "Management Science" 30, pp. 1078-1092; https://doi.Org/10.1287/mnsc.30.9.1078.
  2. Berger A.N. et al. (2000), Conglomeration versus strategic focus: Evidence from the insurance industry, "Journal of Financial Intermediation" 9(4), pp. 323-362; https://doi. org/10.1006/jfin.2000.0295.
  3. Berger A.N., Humphrey D.B. (1992), Measurement and Efficiency Issues in Commercial Banking, in: Z. Griliches (ed.), Output Measurement in the Service Sectors, University of Chicago Press, Chicago, pp. 245-279.
  4. Brockett P.L. et al. (1998), DEA Evaluations of the Efficiency of Organizational Forms and Distribution Systems in the US Property and Liability Insurance Industry, "International Journal of Systems Science" 29(11), pp. 1235-1247; https://doi. org/10.1080/00207729808929612.
  5. Brokesova Z., Pastorakova E., Ondruśka Т. (2014), Determinants of Insurance Industry Development in Transition Economies: Empirical Analysis of Visegrad Group Data, "The Geneva Papers" 39, pp. 471-492.
  6. Brokesova Z., Vachalkova I. (2016), Macroeconomic environment and insurance industry development: The case of Visegrad group countries, "Ekonomicka revue" 19, pp. 63-72.
  7. Ćeska narodni banka (2018), Zprdva о vykonu dohledu nadfinanćnim trhem 2011-2017; http://www.cnb.cz/cs/dohled_financni_trh/souhrnne_informace_fin_trhy/zpravy_o_ vykonu_dohledu/index.html.
  8. Charnes A. et al. (1995), Data Envelopment Analysis: Theory, Methodology and Applications, Springer-Verlag, New York.
  9. Charnes A., Cooper W.W., Rhodes E. (1978), Measuring the Efficiency of Decision Making Units, "European Journal of Operational Research" 2, pp. 429-444; https://doi. org/10.1016/0377-2217(78)90138-8.
  10. Cummins D.J., Venard B. (2007), Insurance market dynamics: Between global developments and local contingencies, in: Cummins D.J., Venard B. (eds.), Handbook of International Insurance: Between Global Dynamics and Local Contingencies pp. 1-24, Springer, New York.
  11. Daraio С, Simar С (2007), Advanced Robust and Nonparametric Methods in Efficiency, Springer, New York.
  12. Diboky E, Ubl E. (2007), Ownership and Efficiency in the German Life Insurance Market: A DEA Bootstrap Approach, Working paper, University of Vienna.
  13. Drab R., Kocisova K. (2018), Efficiency of the banks: the case of the Visegrad countries, "Economic Annals" 174(11-12), pp. 34-42; https://doi.org/10.21003/ea.V174-06.
  14. Duchackova E. et al. (2009), Vyvoj poistneho trhu krajin Vysehradskej stvorky v obdobi 1995-2007, EKONOM, Bratislava.
  15. Duchackova E., Dańhel J. (2006), Postaveni zemi V4 na pojistnem trhu Evropske unie, Paper presented at International Scientific Days 2006, Nitra.
  16. ECB (2009), Financial stability review, December 2009; https://www.ecb.europa.eu/pub/ pdf/fsr/financialstabilityreview200912en.pdf.
  17. Eling M., Huang W. (2011), An Efficiency Comparison of the Non-life Insurance Industry in the BRIC Countries, Working Papers on Risk Management and Insurance.
  18. Eling M., Luhnen M. (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" 35(2), pp. 217-265; https:// www.jstor.org/stable/41953074.
  19. Farrell M.J. (1957), The Measurement of Productive Efficiency, "Journal of the Royal Statistical Society. Series A (General)" 120(3), pp. 253-290; https://www.jstor.org/ stable/2343100.
  20. Grmanova E., Cejkova V. (2016), Poistny trh v Slovenskej republikę a v Ceskej republilke a efektivnosfpoisfovni, Trenćianska univerzita Alexandra Dubćeka v Trenćine, Trenćin.
  21. Grmanova E., Jablonsky J. (2009), Analyza efektivnosti slovenskych a ćeskych poisfovni, pomocou modelov analyzy obalu dat, "Ekonomicky ćasopis" 57(9), pp. 857-869.
  22. Grmanova E., Pukała R. (2018), Efficiency of insurance companies in the Czech Republic and Poland, "Oeconomia Copernicana" 9(1), pp. 71-50.
  23. Hancock D. (1985), The Financial Firm: Production with Monetary and Non-Monetary Goods, "Journal of Political Economy" 93(5), pp. 859-880; http://dx.doi. org/10.1086/261339.
  24. Huang W., Eling M. (2013), An efficiency comparison of the non-life insurance industry in the BRIC countries, "European Journal of Operational Research" 226(3), pp. 577-591.
  25. Jablonsky J. (2007), Measuring the efficiency of production units by AHP models, "Mathematical and Computer Modelling" 46(7-8), pp. 1091-1098; https://doi.Org/10.1016/j. mcm.2007.03.007.
  26. Jarraya В., Bouri A. (2013), Efficiency concept and investigations in insurance industry: A survey, "Management Science Letters" 3(1), pp. 39-54.
  27. Magyar Biztositok Szovetsege (2018), Hungarian Insurers' Yearbook 2011-2017, http://www.mabisz.hu/en/market-reports.html.
  28. Kafkova E., Kracinovsky M. (2008), Development of Commercial Insurance Business in Slovakia and Hungary in the Years 1997-2006, "Ekonomicky ćasopis" 56(4), pp. 384-402.
  29. Micajkova V. (2015), Efficiency of Macedonian Insurance Companies: A DEA Approach, "Journal of Investment and Management" 4(2), pp. 61-67.
  30. Nataraja N.R., Johnson A.L. (2011), Guidelines for Using Variable Selection Techniques in Data Envelopment Analysis, "European Journal of Operational Research" 215(3), pp. 662-669; https://doi.Org/10.1016/j.ejor.2011.06.045.
  31. Narodna banka Slovenska (2018), Analyza slovenskeho finanćniho sektora 2011-2011; https://www.nbs.sk/sk/publikacie/analyzy-slovenskeho-financneho-sektora.
  32. Onder S. (2010), Dopady financni krize na rizenirizikpojisfoven, "Cesky finanćni a ućetni ćasopis" 3, pp. 29-48.
  33. Paleckova I. (2015), Banking Efficiency in Visegrad Countries: A Dynamic Data Envelopment Analysis, "Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunen-sis" 63(6), pp. 2085-2091.
  34. Paleckova I. (2018), Performance Measurement in Banking: Empirical Application toCen-tral and Eastern Europe, Professional Publishing, Praha.
  35. Pavic Kramarić Т., Miletić M., Kożul Blazevski R. (2019), Financial Stability of Insurance Companies in Selected CEE Countries, "Business Systems Research" 10(2), pp. 163-178.
  36. Polska Izba Ubezpieczeń (2018), Raporty roczne PIU 2011-2017; https://piu.org.pl/ra-porty-roczne/.
  37. Ryszard P., Kafkova E. (2014), Development of Commercial Insurance in the Slovak Republic, Poland and Ukraine in the Period 2004-2012, "Ekonomicky ćasopis" 62(3), pp. 285-306.
  38. Ruggiero J. (2005), Impact Assessment of Input Omission on DEA, "International Journal of Information Technology and Decision Making" 4(3), pp. 359-368; https://doi. org/10.1142/S021962200500160X.
  39. Seiford L.M., Thrall R.M. (1990), Recent developments in DEA: the mathematical programming approach to frontier analysis, "Journal of Econometrics" 46, pp. 7-38; http:// dx.doi.org/10.1016/0304-4076(90)90045-U.
  40. Staib D., Bevere L. (2011), World Insurance in 2010: Premiums Back to Growth - Capital Increases; http://www.biztositasiszemle.hu/files/201107/sigma2_2011_en.pdf.
  41. Staib D., Bevere L. (2013), World Insurance in 2012: Progressing on the Long and Winding Road to Recovery; https://www.swissre.com/dam/jcr:66cae301-d946-4767-b362-7e4362a24dc6/sigma3_2013_en.pdf.
  42. Staib D., Bevere L. (2015), World Insurance in 2014: Back to Life; https://www.swissre. com/dam/jcr:8a926137-6080-4b91-8089-a9856f0256e3/sigma4_2015_en.pdf.
  43. Staib D., Bevere L. (2016), World Insurance in 2015: Steady Growth Amid Regional Disparities; https://www.swissre.eom/dam/jcr:967b2658-68a6-4b81-813c-cd6b7cd0530b/ sigma_3_2016_en.pdf.
  44. Staib D., Bevere L. (2017), World Insurance in 2016: the China Growth Engine Steams Ahead; https://media.swissrexom/documents/sigma3_2017_en.pdf.
  45. Tone K. (2001), A slacks-based measure of efficiency in Data Envelopment Analysis, "European Journal of Operational Research" 130, pp. 498-509; https://doi.org/10.1016/ S0377-2217(99)00407-5.
  46. Vavrova E. (2012), Regulatorni opatfeni Solvency II v kontextu soućasne finanćni krize, "Acta academica karviniensia" 12(4), pp. 173-182.
  47. Wieczorek-Kosmala M. (2016), Non-life insurance markets in CEE countries - part I: Products' structure, "Journal of Economics and Management" 25(3), pp. 109-125.
  48. Zimkova E. (2015), Technical Efficiency and Super-Efficiency of the Insurance Sector in Slovakia, "Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis" 63(6), pp. 2205-2211; https://doi.org/10.11118/actaun201563062205.
Cytowane przez
Pokaż
ISSN
0013-3205
Język
eng
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