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This study examines the role of institutions and governance on the digital financial inclusion and economic growth nexus in Sub-Saharan Africa (SSA) from 2014 to 2020.

This study adopts the generalised method of moments technique which controls for endogeneity. The authors employed four main variables namely, index of digital financial inclusion, gross domestic product per capita growth, institutions and governance.

The results suggest a significant positive effect of institutional quality and governance on the digital financial inclusion-economic growth nexus in SSA. Furthermore, the authors find that effect of trade and population growth on economic growth was significantly positive while inflation reduces economic growth in the region.

This study also ignored the effect of digital financial inclusion on environmental quality. Future researches should focus on addressing these drawbacks and replicating the study in Africa as a whole and other developing countries across the world that are experiencing digital financial inclusion and economic growth challenges. The results from the study imply that a positive relationship between digital financial inclusion and economic growth. It is important to note that the study was carried out on the premise that institutions play a pivotal role in enhancing economic growth in SSA.

The results confirm the significance of policies that enhances institutional quality and governance which are other avenues the authorities can pursue to enhance economic growth in SSA.

The paper documents the importance of institutions in boosting economic growth which impacts on social life rather than digital financial inclusion only.

The paper makes a contribution through analysing the role of institutions and governance on the digital financial inclusion-economic growth nexus rather than the traditional financial inclusion–economic growth nexus which is common to the majority of the available empirical studies.

This paper explores the historical aspects of customer due diligence and related anti-money laundering measures in South Africa. Customer due diligence measures are usually employed to ensure that financial institutions know their customers well by assessing them against the possible risks they might pose such as fraud, money laundering, Ponzi schemes and terrorist financing. Accordingly, customer due diligence measures enable banks and other financial institutions to assess their customers before they conclude any transactions with them. Customer due diligence measures that are utilised in South Africa include identification and verification of customer identity, keeping records of transactions concluded between customers and financial institutions, ongoing monitoring of customer account activities, reporting unusual and suspicious transactions and risk assessment programmes. The Financial Intelligence Centre Act 38 of 2001 (FICA) as amended by the Financial Intelligence Centre Amendment Act 1 of 2017 (Amendment Act) is the primary statute that provides for the adoption and use of customer due diligence measures to detect and combat money laundering in South Africa. Prior to the enactment of the FICA, several other statutes were enacted in a bid to prohibit money laundering in South Africa. Against this background, the article provides a historical overview analysis of these statutes to, inter alia, explore their adequacy and examine whether they consistently complied with the Financial Action Task Force Recommendations on the regulation of money laundering.

The paper provides an overview analysis of the historical aspects of the regulation and use of customer due diligence to combat money laundering in South Africa. In this regard, a qualitative research method as well as the doctrinal research method are used.

It is hoped that policymakers and other relevant persons will adopt the recommendations provided in the paper to enhance the curbing of money laundering in South Africa.

The paper does not provide empirical research.

The paper is useful to all policymakers, lawyers, law students and regulatory bodies, especially, in South Africa.

The paper advocates for the use of customer due diligence measures to curb money laundering in the South African financial markets and financial institutions.

The paper is original research on the South African anti-money laundering regime and the use of customer due diligence measures to curb money laundering in South Africa.

This study examines the impact of chief executive officer (CEO) power, institutional investors and their interaction on green financing provided by Bangladeshi financial institutions and the moderating effect of government policy and CEO political connections on these relations.

We employ ordinary least squares (OLS) regressions and interaction terms among variables of interest for the empirical analysis.

Green financing decreases with CEO power, implying that CEOs of this country’s financial institutions are averse to green loans, whereas institutional investors increase green financing extended by these institutions. The government policy, which includes financial incentives for complying financial institutions, strengthens institutional investors' positive impact on green financing, but it does not change CEOs' aversion to green loans. Institutional investors have a positive moderating effect on the relationship between green finance (GF) and CEO power, but this positive moderating effect is negated in banks where the government owns a stake, possibly because CEOs of state-owned financial institutions are politically connected, which reduces institutional investors’ influence over them.

This study is unique in that it is the first to examine how the interaction among different stakeholders affects green financing in a unique setting. As the literature is almost silent on this topic, the findings of this paper are expected to raise policymakers’ awareness of the obstacles that hamper the efforts of developing countries to go green.

The present study aims to investigate the effect of environmental reporting on the financial performance of banks in India.

The study is based on the secondary data. The sample includes the banks listed in the NSE Nifty Bank Index from 2016–2017 to 2020–2021. The environmental reporting data was obtained through the content analysis technique. The financial data was collected from the CMIE Prowess database. Panel regression analysis was used to analyse the data.

The findings indicate a negative significant influence of environmental reporting on the ROA and ROE of banks. On the other hand, environmental reporting does not significantly influence the EPS of banking institutions.

To the best of the authors’ knowledge, this study is the first to contribute to the scarce literature on the influence of environmental reporting on financial performance, pertinently in the context of a developing nation's banking sector.

The purpose of this paper is to analyse and investigate how intensified regulatory requirements related to outsourcing have influenced and changed the outsourcing activities of German financial institutions.

The study involved interviewing 11 outsourcing experts in the German financial sector, including four of the five largest banks in Germany. In coding and analysing the collected data, this study adopted the approach of a qualitative content analysis framework.

The study found that the revised legal requirements have had a significant and potentially negative impact on the efficiency of outsourcing, leading to a necessity for German financial institutions to internally realign their outsourcing managements. The study further revealed practical realigned methods German financial institutions executed to meet the legal requirements.

The impact, meaning and relevance of legal requirements in the outsourcing environment of German financial institutions has been relatively under-researched from a qualitative perspective and focused on other primary fields of investigation like outsourcing decisions and outcomes. This study has, by adopting a qualitative approach, addressed the identified gap by providing first-hand insights and new knowledge.

This paper aims to investigate the direct and indirect links between good corporate governance (GCG) and firm value using corporate social responsibility (CSR) as a mediating variable.

The data used in this research was collected from the Thomson Reuters Eikon ASSET4 database, involving 108 financial institutions belonging to 12 European countries listed on the stock exchange between 2007 and 2019. A multivariate linear regression analysis was conducted to test the hypotheses of this study.

Our results show that GCG has a positive effect on the firm value and CSR practices. Interestingly, the results indicate that CSR positively influences firm value. The results also reveal that CSR partially mediates the relationship between GCG and firm value.

This study contributes to the literature by providing evidence on how GCG increases firm value with the mediation mechanism of CSR in the link between GCG and firm value. To the best of our knowledge, it is the first research work documenting that GCG leads to better CSR, which ultimately results in increasing firm value of companies from the financial sector by bridging the information gap for this critical industry in the context of a developed market like Europe.

The purpose of this paper is to propose a model that will demonstrate how the integration of Salam (exclusive agricultural commodity trade) with Takaful (micro-Takaful – a subdivision of Islamic insurance) and value chain can address major challenges facing the agricultural sector in Kano State, Nigeria.

The study conducted a thorough and critical analysis of relevant literature and existing models of financing agriculture in Nigeria to come up with the proposed model.

The findings indicate that measures undertaken to address the major challenges fail. In view of this, this study proposed Bay-Salam with Takaful and value chain model to solve a number of challenges such as poor access to financing, poor marketing and pricing, delay, collateral requirement and risk issues in order to avail farmers with easy access to finance and provide effective security to financial institutions.

The paper is limited to using secondary data. Therefore, empirical investigation can be carried out to strengthen the validation of the model.

The study outcome seeks to improve the productivity of the farmers through enhancing their access to finance. This will increase their level of production and provide more employment opportunities. In addition, it will boost financial inclusion, income generation, poverty alleviation, standard of living, food security and overall economic growth and development.

The novelty of this study lies in the integration of classical Bay-Salam with Takaful and value chain and create a unique model structure which the researchers do not come across in any research that presented it in Nigeria.

The desire for a sustainable environment has led to the need to reduce carbon dioxide emissions and increase renewable energy usage. Empirical evidence generally shows that financial development has a significant effect on these two variables. However, little is known about how the financial strength of financial institutions influences them in the fight against climate change. This study aims to assess the effect of the financial strength of listed financial institutions on renewable energy consumption and carbon dioxide emissions in Ghana.

Regression analyses were used to estimate the effect of asset quality, credit management, return on equity/asset and firm size on renewable energy consumption and carbon dioxide emissions for data covering from 2009 to 2018.

The results revealed that return on equity reduces renewable energy consumption and increases carbon dioxide emissions. It is also found that credit risk management and asset quality positively influence renewable energy consumption but reduce carbon dioxide emissions in Ghana.

Policymakers need to identify profitable but less polluting ventures and draw the attention of financial institutions in the country. This may cause banks and other lending-giving institutions to desist from giving credits to support environmentally harmful ventures.

The paper assessed the effect that the financial strength of financial institutions has on renewable energy consumption and carbon dioxide emissions.

The anti-money laundering (AML) frameworks of many countries were generally influenced by the international best practices of money laundering that were first established in 1988 through the Basel Committee on Banking Supervision (BCBS). The general belief is that these international best practices are applicable in all jurisdictions, although most countries are still affected by money laundering. The international best practices are universal measures that were developed as a yardstick to control and curb money laundering globally. Nonetheless, international best practices for money laundering are not tailor-made for specific jurisdictions and/or countries. Therefore, it remains the duty of respective jurisdictions and/or countries to develop their own context-sensitive AML measures in accordance with international best practices. An overview of the AML international best practices that were developed and adopted by several countries are analysed in this paper. These include customer due diligence measures established by the BCBS, the financial action task force (FATF) standards, as well as the ongoing monitoring and the risk-sensitive approach that were implemented to curb money laundering globally.

The article analyses the AML international best practices that were developed and adopted by several countries. These include customer due diligence measures established by the BCBS, the FATF standards, as well as the ongoing monitoring and the risk-sensitive approach that were implemented to curb money laundering globally.

It is hoped that policymakers and other relevant persons will use the recommendations provided in the paper to enhance the curbing of money laundering in financial institutions globally.

The paper does not provide empirical research.

The study is useful to all policymakers, lawyers, law students and regulatory bodies globally.

The study seeks to curb money laundering in the economy and society globally.

The study is original research on the use of AML/counter financing of terrorism international best practices to curb money laundering activities globally.

The primary purpose is to empower financial institutions in AI integration decisions. By combining QSFS and the Golden Cut technique, the study establishes a robust foundation for assessing AI progress effects, aligning implementation with performance goals, and promoting technical innovation. Dimensions explored include AI-related workforce competency, technological adaption, and ethical AI practices, crucial components within the BSC framework for technological innovation.

This study employs a distinctive approach, integrating the Balanced Scorecard (BSC) framework with Quantum Spherical Fuzzy Sets (QSFS) and the Golden Cut approach to explore the dynamic landscape of AI deployment. The integration addresses uncertainties, enhancing impact assessment accuracy amid ambiguity associated with AI outcomes. QSFS and the Golden Cut technique together facilitate precise identification of thresholds and crucial values.

The research delves into the intricate relationship between enduring financial stability and AI progress, recognizing technology's crucial influence on financial decision-making. Findings underscore technology's significant impact on financial institutions' AI integration decisions. This novel approach provides a strong quantitative basis, offering insights into workforce competency, technological adaption, and ethical AI practices.

Despite valuable contributions, the study acknowledges limitations, such as potential biases and generalizability concerns, emphasizing the need for cautious interpretation and suggesting future research directions. Recognizing the research's boundaries and complexities in studying AI deployment in financial institutions underscores the need for ongoing exploration.

The research's originality lies in presenting an innovative methodology, integrating BSC, QSFS, and the Golden Cut, providing a unique perspective for decision-making. Contributions extend beyond academia, offering practical insights to enhance AI strategic implementation in the financial industry. This novel approach enriches the technology and finance discourse, fostering theoretical and practical advancements.