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Green fintech: Sustainability of Bitcoin
The report examines Bitcoin's environmental sustainability within the Green FinTech framework. It highlights Bitcoin's significant energy consumption during mining, correlating positively with miner revenue. While offering financial inclusivity, Bitcoin's carbon emissions challenge its environmental credentials. The study advocates for renewable energy adoption in cryptocurrency mining to align with sustainability goals.
The hidden environmental cost of cryptocurrency: How Bitcoin mining impacts climate, water and land
Bitcoin mining has significant environmental impacts, driven by its reliance on electricity-intensive processes. In 2020-2021, mining consumed 173 TWh of electricity, primarily from fossil fuels, and emitted 86 Mt CO2, contributing to climate change, water scarcity, and land use issues. Global regulatory action is urgently needed.
U.S. climate policy and blockchain innovation in future smart and sustainable cities
This report explores blockchain's potential to address climate challenges and foster smart, sustainable cities. It highlights blockchain's capacity for decentralisation, transparency, and efficiency in urban governance, renewable energy, and civic participation. Recommendations include multi-stakeholder collaboration, educational initiatives, and human-centred design to ensure ethical, inclusive implementation for climate resilience and innovation.
Infrastructure tokenization: Does blockchain have a role in the financing of infrastructure?
The report explores the potential of blockchain technology in financing infrastructure projects. It evaluates blockchain's capabilities in enhancing efficiency, transparency, and accessibility in infrastructure tokenisation, while addressing challenges like regulatory constraints, market adoption, and technical barriers. The findings highlight both opportunities and limitations for integrating blockchain into infrastructure financing.
Impact tokens: A blockchain-based solution for impact investing
The report explores the concept of impact tokens, blockchain-based tools designed to unlock investments for sustainable projects aligned with the UN Sustainable Development Goals (SDGs). These tokens enhance transparency, foster financial inclusion, improve data collection, and incentivise sustainable behaviours. Case studies illustrate applications across energy, agriculture, and waste management sectors, demonstrating potential in addressing global challenges. .
Blockchain for sustainability: A systematic literature review for policy impact
The report reviews blockchain's role in sustainability, analysing 10,188 studies. It highlights blockchain's potential in supply chain management, energy systems, and IoT-based solutions like smart cities. However, gaps persist in aligning blockchain applications with global ESG regulations and carbon trading mechanisms. Recommendations aim to improve blockchain's utility in achieving net-zero goals.
Responsible investment and blockchain
The report explores blockchain technology's relevance to responsible investment, highlighting its potential to enhance transparency, automate processes, and improve ESG data tracking. It discusses blockchain's implications for shareholder voting, decentralised systems, financial inclusivity, and sustainability. Practical challenges, including regulation, technical integration, and energy use, are also addressed. .
The financial stability implications of artificial intelligence
The report discusses the rapid adoption and integration of artificial intelligence (AI) in the financial sector, driven by advancements in technology and increasing operational efficiency. Key risks include dependencies on third-party providers, market correlations, and cyber vulnerabilities. Generative AI's accessibility could amplify systemic risks, necessitating enhanced regulatory frameworks, vigilant monitoring, and robust governance to ensure financial stability amid evolving AI technologies.
Developing responsible chatbots for financial services: A pattern-oriented responsible AI engineering approach
The report outlines a pattern-oriented engineering approach for responsible AI in financial services. It identifies challenges in scaling responsible AI, introduces a Responsible AI Pattern Catalogue for addressing lifecycle risks, and provides case studies on chatbot development. The study underscores governance, process, and product strategies to operationalise responsible AI principles effectively.
Synthetic content: Exploring the risks, technical approaches, and regulatory responses
Generative AI enables the rapid creation of synthetic content, offering both opportunities and risks. This report examines challenges like disinformation and fraud, outlines technical and regulatory strategies, and explores trade-offs with privacy. Techniques discussed include watermarking, provenance tracking, and legal frameworks, aiming to enhance transparency while safeguarding privacy.
Interconnected justice: Understanding the cross-border implications of climate transition policies
The report explores the concept of interconnected justice in global climate and nature transitions. It highlights the need for policies that integrate environmental, social, and economic dimensions, advocating multi-actor dialogues and frameworks to mitigate cross-border inequalities.
Artificial intelligence and big holdings data: Opportunities for central banks
This report explores the potential of artificial intelligence and big holdings data for central banks. It highlights how asset demand systems and AI models improve policy decisions, optimise monetary interventions, and address financial risks. Applications include managing contagion, designing climate stress tests, and identifying crowded trades, enhancing economic resilience.
Investing for financial inclusion: Four enablers for outcomes measurement and management
The report outlines four essential factors for improving impact measurement and management (IMM) in financial inclusion. These enablers—shared IMM understanding, addressing operational barriers, integrating outcomes into decision-making, and enhancing transparency—aim to align stakeholders across the investment chain to prioritise developmental and intermediate outcomes for inclusive, sustainable finance.
Generative AI, the American worker, and the future of work
The report examines the impact of generative AI on American jobs, noting significant disruption in both cognitive and nonroutine tasks, particularly in middle- and high-wage sectors. It highlights the need for policies that engage workers in AI’s deployment, enhance worker rights, and ensure AI-driven advancements benefit workers while minimising risks.
The private investment landscape for a global circular economy for plastics: Insights from the Plastics Circularity Investment Tracker
This report explores the private investment landscape for plastics circularity, providing key insights from the Plastics Circularity Investment Tracker. It reveals that while $32 billion is invested annually, this is far below the $1 trillion needed to meet global 2040 targets. Emerging markets, which account for significant plastic pollution, receive only 6% of total investments.
Banking on biodiversity collapse series
This series examines the relationship between global finance and biodiversity collapse, focusing on the financial flows supporting deforestation and ecosystem degradation. It explores the role of banks and investors in funding forest-risk commodity sectors across key regions and highlights the gap between corporate sustainability commitments and real-world actions.