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Record W4411441840 · doi:10.1002/csr.70038

An Assessment of Sustainable Banking Performance in Sub‐Saharan Africa—Does Doing Good and Doing Well Go Hand in Hand?

2025· article· en· W4411441840 on OpenAlexaff
Adwoa Appiah, Olaf Weber, Amr ElAlfy, Adam Vitalis

Bibliographic record

VenueCorporate Social Responsibility and Environmental Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsYork UniversityUniversity of Waterloo
Fundersnot available
KeywordsBenchmarkingBusinessSustainabilityLeverage (statistics)Sustainable developmentRanking (information retrieval)FinanceAccountingEnvironmental economicsMarketingEconomics

Abstract

fetched live from OpenAlex

ABSTRACT This paper evaluates sustainable banking performance and its relationship with financial performance among 99 banks across six Sub‐Saharan Africa (SSA) countries. Prior research has shown that there are limited studies on benchmarking sustainable banking performance, and the relationship between sustainable banking and financial performance remains inconclusive. We conducted a benchmarking of sustainable banking performance using a 44‐indicator framework and a 4‐stage ranking system. Regression analysis is used to examine the relationship between sustainability and financial performance. Results indicate that most banks in SSA are in the early stages of adopting sustainable banking practices. A positive relationship exists between sustainable banking performance and financial performance. This finding aligns with good management theory. This win–win situation offers a compelling case for banks to integrate sustainability into their core strategies, creating economic value while addressing social and environmental challenges. Banking regulators can leverage sustainable banking to implement regulations that promote sustainable development in the region.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.248
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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