Nadia Mansour

In green finance, the green bond is a relatively new financial instrument that has emerged as a CSR option for businesses. This study investigates the stock response to issuing corporate green bonds during the COVID-19 pandemic. The sample of this study includes 236 publicly listed green bond issuers from 2013 to 2023. This study further split the sample into pre and post-COVID-19 periods and applied the event study methodology for the analysis. The results show that stocks responded positively to the corporate green bond issuance announcement during COVID-19. However, the stocks of corporate sector issuers perform better than those of the financial sector because the CAARs of the corporate sector were higher than the financial sector during COVID-19. Additionally, the Robustness Checks have been conducted, and their results confirm the primary findings. The findings reflect investors' behaviour toward firms that issue green bonds, notably in the wake of the crisis, and they help establish policies regarding green finance.

Through assessing the roles of artificial intelligence (AI), Internet of Things (IoT), and blockchain in augmented finance, a critical synthesis of the literature for addressing the complex financial challenges that accompany climate change is provided. This systematic review synthesizes the existing literature to identify how these technologies may help in the context of sustainable finance. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we reviewed and analyzed 42 peer-reviewed studies published between 2018 and 2025. Our results are applicable in three general areas: (1) increased measurement, reporting, and verification (MRV) of environmental impacts through employing IoT and blockchain to ensure transparency and traceability; (2) better physical and transition risk control using predictive AI modeling; and (3) better environmental, social, and governance (ESG) analysis and detection of greenwashing and risk reduction via alternative data. We highlight the power of these technologies to address problems such as information asymmetry and transparency gaps in impact chains. However, significant challenges such as algorithmic bias, difficulties associated with data governance, and regulatory delays persist. This study addresses this critical gap by synthesizing the evidence into a cohesive overview of the augmented finance landscape, identifying key challenges and priorities for future research. It also proposes a future research agenda with emphasis on impact assessment, algorithmic transparency, and impact on financial stability.

This paper presents a systematic review of Tunisian stakeholders’ perceptions of integrating gender into green microfinance business models, analyzed through the lens of the Business Model Canvas (BMC). This systematic review of 32 studies indicates a dual perception of women as both vulnerable victims and active agents in the ecological transition. The BMC-based analysis reveals major weaknesses in the value proposition, distribution channels, and cost structures of gendered green microfinance offerings. Furthermore, we highlight the underexplored role of regulatory frameworks as levers for business model innovation. This study offers an original analytical framework that links gender, environmental sustainability, and microfinance business models, providing actionable insights for policymakers and microfinance institutions seeking to foster inclusive and sustainable financial ecosystems in Tunisia and similar contexts.

This research conducts a systematic review of Tunisian stakeholders' perceptions of green finance, microfinance, and gender through the lens of the Business Model Canvas (BMC). Within this framework, a systematic search was conducted until October 2024 in electronic databases and grey literature. The findings indicate a dual perception of women as both vulnerable victims and active agents in the ecological transition. The BMC analysis reveals major weaknesses in the value proposition, distribution channels, and cost structures of gendered green microfinance offerings. The study highlights the crucial role of the regulatory and institutional context in these perceptions. It proposes an updated conceptual framework for thinking about more inclusive and sustainable green microfinance models.

The Role of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain in Augmented Finance Augmented finance is emerging as an important approach to tackle the complex financial challenges that accompany climate change. This systematic review aims to provide existing research, identifying how these technologies may help in sustainable finance. Thus, following the PRISMA guidelines, we reviewed and analysed 42 peer-reviewed studies released between 2018 and 2025. Our results are applicable in three general areas: (1) increased MRV of the environmental impacts by employing IoT and blockchain, to ensure transparency and traceability, (2) better physical and transition risk control using predictive AI modelling and (3) better ESG analysis and the detection of greenwashing and risk reduction via alternative data. We highlight the power of these technologies to address stubborn problems such as information asymmetry and transparency holes in impact chains. However, significant challenges persist, such as algorithmic bias, difficult data governance, and regulatory lag. The present study contributes to this landscape by offering a scientific framework of augmented finance in a climate context. It also suggests a proposed future research agenda with emphasis on impact assessment, algorithmic transparency, and impact on financial stability.

The banking sector is a pillar of the world’s economic fabric and is today facing a major revolution due to the demands of sustainable development objectives and the evolution of sustainable finance tools. This article analyses the impact of green credit on commercial banks’ performance based on data from 10 commercial banks in China between 2012 and 2022. The study found that in the short term, the implementation of green credit has a positive effect on the income level of commercial banks’ intermediate activities and a moderating effect on their return on total assets and non-performing loan ratio.

The global climate governance process will have a profound impact on geopolitical relations, and, at the same time, these will determine the direction of cooperation in international climate governance. The European Union and the United States are the most important players in the global governance of climate change, and their competing policy orientations and dynamics have a major impact on trends in this field. In this context, Africa is the region most vulnerable to climate change, and the climate issue in Africa has become one of the frontiers of competition between major powers. Indeed, major powers are increasingly competing in Africa, primarily in the areas of climate leadership, program provision, and capacity building. The study is based on the review of articles and research works regarding the global climate change strategies, especially in AFRICA (2020–2024); it also collected information and statistics from the websites and reports of world banks. In the future, the European Union and Africa should work together to build a new era of strategic partnerships to fight climate change. To do this, they should strengthen their strategic collaboration in global climate governance, look for new ways to work together in old ways, and make their cooperation more effective and efficient.