BANK TECHNICAL EFFICIENCY OF COUNTRY GROUPS: A META-REGRESSION ANALYSIS

Yıl 2024, Cilt: 13 Sayı: 1, 13 - 23, 03.06.2024

Neylan Kaya

https://doi.org/10.17261/Pressacademia.2024.1898

Öz

Purpose- This study endeavors to examine studies using Data Envelopment Analysis in calculating the banking sector efficiency across country groups and to determine the factors affecting their technical efficiency through meta-regression analysis.
Methodology- As of November 22, 2023, relevant works were systematically reviewed using Web of Science, Scopus, and Google Scholar. The literature review employed a comprehensive search encompassing all files with the keywords such as ‘‘technical efficiency (All Field) AND bank (All Field)’’. The research process adhered to the PRISMA guidelines. This study reviewed all studies published between 1932 and 2023 identifying 64599 studies in the initial scan by the author. The author independently scrutinized the titles, abstracts, keywords, text, and references of all manuscripts to mitigate selection bias and reveal whether eligibility criteria were met. Exclusions from the scope encompassed duplicate downloads, papers, books and book chapters, together with studies having low quality scores, no full-text versions, and those that are irrelevant to the subject.
Findings- The results of meta-regression analysis revealed that the data collection year of the studies and the income groups of the countries did not have an impact on the mean technical efficiency. The number of banks, number of observations, publication year, and number of countries were statistically significant on the mean technical efficiency estimate.
Conclusion- The study further standardized variables and methodological assumptions used in bank sector efficiency studies within country groups through meta-regression analysis. Empirical findings in the literature were combined. This study enhances accessibility to the existing body of knowledge for researchers in the field

Anahtar Kelimeler

Banks, technical efficiency, Data Envelopment Analysis, Tobit Analysis, Meta-Regression Analysis

Kaynakça

• Aiello, F., & Bonanno, G. 2019. Explaining differences in efficiency: A meta‐study on local government literature. Journal of Economic Surveys, 33(3), 999-1027. https://doi.org/10.1111/joes.12310
• Aiello, F., & Bonanno, G. (2016). Efficiency in banking: a meta-regression analysis. InternatIonal Review of Applied Economics, 30(1), 112-149. https://doi.org/10.1080/02692171.2015.1070131
• Attah-Kyei, D., Andoh, C., & Kuttu, S. (2023). Risk, technical efficiency and capital requirements of Ghanaian insurers. Risk Management, 25(4), 22-35. https://doi.org/10.1057/s41283-023-00127-z
• Ben Mohamed, E,, Meshabet, N,, & Jarraya, B, (2021). Determinants of technical efficiency of Islamic banks in GCC countries. Journal of Islamic Accounting and Business Research, 12(2), 218-238. https://doi,org/10,1108/JIABR-12-2019-0226
• Bravo-Ureta, B. E., Solís, D., Moreira López, V. H., Maripani, J. F., Thiam, A., & Rivas, T., (2007). Technical efficiency in farming: a meta-regression analysis. Journal of Productivity Analysis, 27(1), 57-72. https://doi.org/10.1007/s11123-006-0025-3
• Bumann, S., Hermes, N., & Lensink, R., (2013). Financial liberalization and economic growth: A meta-analysis. Journal of International Money and Finance, 33, 255-281. https://doi.org/10.1016/j.jimonfin.2012.11.013
• Chaffai, M. E. (2022). New evidence on Islamic and conventional bank efficiency: A meta‐regression analysis. Bulletin of Economic Research, 74(1), 221-246. https://doi.org/10.1111/boer.12291
• Cherchye, L., & Abeele, P. V. (2005). On research efficiency: A micro-analysis of Dutch university research in economics and business management. Research Policy, 34(4), 495-516. https://doi.org/10.1016/j.respol.2005.03.005
• Cvetkoska, V., Čiković, K, F., & Tasheva, M., (2021). Efficiency of commercial banking in developing countries. Mathematics, 9(14), 1597-1615. https://doi,org/10,3390/math9141597
• Downs, S. H., & Black, N., (1998). The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. Journal of Epidemiology & Community Health, 52(6), 377-384. http://dx.doi.org/10.1136/jech.52.6.377
• Egger, M., Smith, G. D., Schneider, M., & Minder, C., (1997). Bias in meta-analysis detected by a simple, graphical test. Bmj, 315(7109), 629-634. https://doi.org/10.1136/bmj.315.7109.629
• Fall, F., Akim, A. M., & Wassongma, H. (2018). DEA and SFA research on the efficiency of microfinance institutions: A meta-analysis. World Development, 107, 176-188. https://doi.org/10.1016/j.worlddev.2018.02.032
• Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society Series A: Statistics in Society, 120(3), 253-281. https://doi.org/10.2307/2343100
• Glass, G. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5, 3–8.
• Glass, G., Barry McGaw, and Mary Lee Smith. 1981. Meta-Analysis in Social Research. Beverly Hills: Sage Publications.
• Greene, W. H. (1991). LIMDEP User's Manual and Reference Guide: Version 6.0. Econometric Software.
• Haidich, A. B. (2010). Meta-analysis in medical research. Hippokratia, 14(Sup1), 29-37.
• Ho, T. H., Nguyen, D. T., Ngo, T., & Le, T. D. (2021). Efficiency in Vietnamese banking: A meta-regression analysis approach. International Journal of Financial Studies, 9(3), 41-55. https://doi.org/10.3390/ijfs9030041
• Horvat, A, M., Milenković, N., Dudić, B., Kalaš, B., Radovanov, B, & Mittelman, A., (2023). Evaluating bank efficiency in the West Balkan countries using data envelopment analysis. Mathematics, 11(1), 151-165, https://doi,org/10,3390/math11010015
• Hübner, R., Kühnel, A., Lu, J., Dettmann, H., Wang, W., & Wiesmeier, M. (2021). Soil carbon sequestration by agroforestry systems in China: A meta-analysis. Agriculture, Ecosystems & Environment, 315, 107437. https://doi.org/10.1016/j.agee.2021.107437
• Iršová, Z., & Havránek, T. (2010). Measuring bank efficiency: a meta-regression analysis. Prague Economic Papers, 19(10), 307-328. DOI: 10.18267/j.pep.379
• Kaya, N., & Algın, A. (2022). Kamu Hastanelerinde Teknik Etkinlik: Bir Meta-Regresyon Analizi, Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17(3), 810-821. DOI: 10.17153/oguiibf.1094736
• Koutsomanoli-Filippaki, A., Margaritis, D., & Staikouras, C. (2009). Efficiency and productivity growth in the banking industry of Central and Eastern Europe. Journal of Banking & Finance, 33(3), 557-567. https://doi.org/10.1016/j.jbankfin.2008.09.009
• Mikušová, P. (2020). The efficiency of public higher education ınstitutions: a meta-analysis. Ekonomický časopis, 68(09), 963-977.
• Milenković, N., Radovanov, B., Kalaš, B., & Horvat, A., M., (2022). External Two Stage DEA Analysis of Bank Efficiency in West Balkan Countries. Sustainability (Switzerland), 14(2), Article 978. https://doi,org/10,3390/su14020978
• Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336-341. https://doi.org/10.1016/j.ijsu.2010.02.007
• Nguyen-Anh, T., Hoang-Duc, C., Tiet, T., Nguyen-Van, P., & To-The, N. (2022). Composite effects of human, natural and social capitals on sustainable food-crop farming in Sub-Saharan Africa. Food Policy, 113, 102284. https://doi.org/10.1016/j.foodpol.2022.102284
• Nguyen, T. L. A., & Vo, X. V. (2020). Does corporate governance really matter for bank efficiency? Evidence from ASEAN countries. Eurasian Economic Review, 10(4), 681-706. https://doi.org/10.1007/s40822-020-00151-4
• Nyathikala, S. A., & Kulshrestha, M. (2020). Performance measurement of water supply services: a cross-Country comparison between India and the UK. Environmental Management, 66(4), 517-534.
• Pagano, M. (1993). Financial markets and growth: An overview. European economic review, 37(2-3), 613-622. https://doi.org/10.1007/s00267-020-01333-1
• Paz, B., Hailu, A., Rola‐Rubzen, M. F., & Rashid, M. M. (2023). Conservation agriculture‐based sustainable intensification improves technical efficiency in Northern Bangladesh: The case of Rangpur. Australian Journal of Agricultural and Resource Economics. https://doi.org/10.1111/1467-8489.12537
• Sharma, P., Manoa, S., Taleniwesi, S., & Nghiem, S. (2020). Technical efficiency of banking institutions in a Pacific Island Country: a distance function stochastic frontier analysis. Journal of the Asia Pacific Economy, 25(1), 1-15. https://doi.org/10.1080/13547860.2018.1528661
• Stanley, Tom D., and Stephen B. Jarrell. 1989. Meta-regression analysis: A quantitative method of literature surveys. Journal of Economic Surveys, 3, 161–70.
• Stanley, T. D., Doucouliagos, H., Giles, M., Heckemeyer, J. H., Johnston, R. J., Laroche, P.,Nelson, J. P., Paldam, M., Poot, J., Pugh, G., Rosenberger, R. S., & Rost, K. (2013). Meta‐analysis of economics research reporting guidelines. Journal of Economic Surveys, 27(2), 390-394. https://doi.org/10.1111/joes.12008
• Tatsioni, Aathina, and John P. A. Ioannidis. 2017. Meta-analysis. In International Encyclopedia of Public Health. Edited by S. R. Quah. Oxford: Academic Press, pp. 117–24. https://doi.org/10.1016/B978-0-12-803678-5.00291-5
• Thanassoulis, E. (2001). Introduction to the theory and application of data envelopment analysis. Dordrecht: Kluwer Academic Publishers.
• Trong Ho, P., Burton, M., Ma, C., & Hailu, A. (2022). Quantifying heterogeneity, heteroscedasticity and publication bias effects on technical efficiency estimates of rice farming: A meta‐regression analysis. Journal of Agricultural Economics, 73(2), 580-597. https://doi.org/10.1111/1477-9552.12468
• Varabyova, Y., & Müller, J. M. (2016). The efficiency of health care production in OECD countries: a systematic review and meta-analysis of cross-country comparisons. Health Policy, 120(3), 252-263. https://doi.org/10.1016/j.healthpol.2015.12.005
• Villano, R. A., & Tran, C. D. T. (2021). Survey on technical efficiency in higher education: A meta‐fractional regression analysis. Pacific Economic Review, 26(1), 110-135. https://doi.org/10.1111/1468-0106.12310
• Zangeneh, M., Banaeian, N., & Clark, S. (2021). Meta-Analysis on Energy-Use Patterns of Cropping Systems in Iran. Sustainability, 13(7), 3868. https://doi.org/10.3390/su13073868