Bank Productivity: A Meta-Regression Analysis

Year 2024, Volume: 58 Issue: 4, 639 - 650, 31.10.2024

Neylan Kaya

https://doi.org/10.51551/verimlilik.1430048

Abstract

Purpose: This study aims at examining studies employing the Malmquist Productivity Index (MPI) in calculating banks’ productivity. It also seeks to determine the factors affecting the total factor productivity change of banks through meta-regression analysis.
Methodology: On December, 2023, relevant works were systematically reviewed using Web of Science (WoS), Scopus, and Google Scholar. The literature review employed a comprehensive search involving all files with the keywords such as ‘‘productivity” and “bank’’. The research process adhered to the PRISMA guidelines.
Findings: Key features of the 35 studies incorporated in the analysis are presented. The samples of 65.71% of the studies are Asian countries. The bank productivity of 45.71% was calculated through the DEA-MPI method. The studies under consideration were sourced from diverse populations. These studies share key similarities in terms of subject and methodology. Random Effects Model was used to test heterogeneity across studies. The common effect size is 19.361 (z= 4.23, 95% CI: [10.384, 28.338]). Inter-study heterogeneity was determined through Cochran Q test and I^2 index (I^2= % 100, df=32.000, Q=141163533.762, p<0.001).
Originality: No meta analysis of studies calculating productivity with the Malmquist Productivity Index (MPI) has been found in the relevant literature. This study provides robust, valid and reliable parameter estimates for future studies that will use the Malmquist Productivity Index in evaluating banks' productivity.

Keywords

Bank, Productivity, Malmquist Productivity Index, Meta-Regression Analysis

Banka Verimliliği: Bir Meta-Regresyon Analizi

Abstract

Amaç: Bu çalışmanın amacı, bankalarda verimliliğin hesaplanmasında Malmquist Verimlilik Indeksi (MPI) kullanan çalışmaları incelemektir. Bankaların Toplam faktör verimlilik değişimini etkileyen faktörleri meta-regresyon analizi ile belirlemektir.
Yöntem: Aralık 2023'te “verimlilik” ve “banka” anahtar kelimelerinin yer aldığı tüm çalışmaları kapsayan bir arama Web of Science (WoS), Scopus ve Google Akademik’ te yapılmıştır. Araştırma sürecinde PRISMA yönergelerine bağlı kalınmıştır.
Bulgular: Analize 35 çalışma dahil edilmiştir. Çalışmaların %65,71' inin örneklemi Asya ülkeleridir. Banka verimliliğinin %45,71'i DEA-MPI yöntemiyle hesaplanmıştır. Söz konusu çalışmalar farklı popülasyonlardan alınmıştır. Bu çalışmalar konu ve metodoloji açısından temel benzerlikleri paylaşmaktadır. Çalışmalar arasındaki heterojenliği test etmek için Rastgele Etkiler Modeli kullanılmıştır. Ortak etki büyüklüğü 19,361'dir (z= 4,23, %95 GA: [10,384, 28,338]). Çalışmalar arası heterojenlik Cochran Q testi ve I^2 indeksi ile belirlenmiştir. (I^2= % 100, df=32.000, Q=141163533.762, p<0.001).
Özgünlük: Yazında verimliliği Malmquist Productivity Index ile hesaplayan çalışmaların meta analizine rastlanmamıştır. Çalışma banka verimliliğinin hesaplanmasında Malmquist Verimlilik İndeksini kullanacak çalışmalar için etkili, geçerli ve güvenilir parametre tahminleri sunmaktadır.

Keywords

Banka, Verimlilik, Malmquist Verimlilik İndeksi, Meta-Regresyon Analizi

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