Sustainability Performance : A Comparative Analysis in the Polish Banking Sector

Zbigniew Korzeb , Reyes Samaniego-Medina

Abstract

This article analyses the Polish banking sector’s involvement with sustainable development through a multidimensional evaluation applying the technique for order preference by similarity ideal solution (TOPSIS) method with different weight vectors. Our results highlight numerous shortcomings in the sustainability performance of commercial banking activities. In fact, there was backsliding during the analysed period (2015–2017), which suggests that supporting sustainability performance was not one of the priorities of the Polish banking sector. However, we found a dichotomy between national and foreign banks. The government-owned banks and national banks showed greater commitment to this issue than did the banks with foreign capital. This finding suggests that banks with foreign capital were not fully interested in sponsoring activities aimed at sustainable development
Author Zbigniew Korzeb (FEM / DFA)
Zbigniew Korzeb,,
- Department of Finance and Accounting
, Reyes Samaniego-Medina
Reyes Samaniego-Medina,,
-
Journal seriesSustainability, ISSN 2071-1050, (N/A 70 pkt)
Issue year2019
Vol11
No3
Pages1-16
Publication size in sheets0.75
Keywords in Englishbanking sector; commercial banks; sustainable development; sustainability performance; multidimensional comparative analysis
ASJC Classification3305 Geography, Planning and Development; 2105 Renewable Energy, Sustainability and the Environment; 2308 Management, Monitoring, Policy and Law
DOIDOI:10.3390/su11030653
URL https://www.mdpi.com/2071-1050/11/3/653
Internal identifier000044761
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)70
Score sourcejournalList
ScoreBUT score = 24.0, 05-06-2019, manual
Ministerial score = 70.0, 17-02-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.911; WoS Impact Factor: 2018 = 2.592 (2) - 2018=2.801 (5)
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