Library | SASB Sustainability Sector
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Land use finance impact hub
The hub hosts a collection of tools and guidance to help financial institutions harmonise environmental and social impact monitoring for sustainable land use finance.
Exiobase
EXIOBASE is a global, detailed Multi-Regional Environmentally Extended Supply-Use Table (MR-SUT) and Input-Output Table (MR-IOT). It was developed by harmonising and detailing supply-use tables for a large number of countries, estimating emissions and resource extractions by industry.
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.
Handbook of artificial intelligence and big data applications in investments
This handbook provides a comprehensive overview of artificial intelligence (AI) and big data applications in investments. It covers topics such as machine learning, natural language processing, trading algorithms, and AI-driven customer service. Aimed at finance professionals, it offers insights into practical use cases, challenges, and evolving trends in AI adoption, making it a valuable resource for those navigating the integration of these technologies in investment strategies.
The finfluencer appeal: Investing in the age of social media
The report titled examines the role of financial influencers ("finfluencers") in shaping investment decisions, especially among Gen-Z investors. It highlights the regulatory challenges posed by finfluencers, explores their content's appeal to younger audiences, and provides recommendations for enhancing financial literacy and regulatory frameworks.
KnowTheChain's benchmark tool
KnowTheChain’s benchmark evaluates corporate efforts to address forced labour in global supply chains. It assesses companies across sectors using indicators such as worker rights, transparency, and risk management. This tool helps finance professionals and investors identify risks and drive improvements in corporate labour practices, promoting ethical and responsible investment decisions.
Drivers of change: Meeting the energy and data demands of AI adoption in Australia and New Zealand
The report explores the energy challenges posed by AI adoption, highlighting concerns among IT managers about increased energy consumption and uncertainty regarding its impact on sustainability. The research underscores the need for enhanced energy efficiency and green energy solutions to meet ESG goals without hindering AI deployment.
2024 good practice guide
This guide provides essential guidelines for companies and investors to enhance human rights due diligence, particularly in supply chains. It emphasises transparency, risk assessment, and responsible purchasing practices to combat forced labour. The guide also offers practical examples and benchmarks, helping stakeholders align with global standards and improve corporate disclosures.
Natural Capital Protocol
The Natural Capital Protocol provides a step-by-step guide for businesses to measure, value, and integrate natural capital into their operations. Divided into 9 stages, this comprehensive guide offers a practical approach to assess material risks and opportunities, communicate with stakeholders, and make informed decisions towards sustainable business practices.
The intersection of Responsible AI and ESG: A framework for investors
This report provides actionable insights for investors exploring the integration of Responsible AI (RAI) in their investment decisions. It offers a framework to assess the environmental, social, and governance (ESG) implications of Artificial Intelligence (AI) usage by companies. The report includes case studies of globally listed companies and a set of templates to support investors in implementing the framework.
The Authenticity Advantage
This benchmark report highlights the link between authentic sustainability and improved business outcomes in Australian organisations. The report introduces the Authenticity Index™, measuring commitments, culture, and communication, demonstrating that high-scoring businesses experience better talent acquisition, productivity, retention, innovation, resilience, and profitability.
Artificial intelligence risk management framework (AI RMF 1.0)
This framework is a guide to promote safe, secure and transparent use of AI systems. The Framework provides four key functions – govern, map, measure and manage - with further categories and subcategories for risk management in AI systems.
Can investors save the planet? - NZAMI and fiduciary duty
The report evaluates asset managers' strategies aligning with the Race to Zero goal of limiting global warming while considering the possibility of a different climate scenario. It finds impactful environmental approaches might pose fiduciary challenges. Authors propose revising commitments to enhance climate impact while upholding fiduciary duties.
In search of the true greenium
The expected return of green securities relative to brown is a crucial impact measure for ESG investors, and the greenium is more negative in greener countries and over time. The equity greenium has become more negative over time. The proposed robust green score combined with forward-looking expected returns yields a more precisely estimated annual equity greenium.
Climate scorpion – the sting is in the tail: Introducing planetary solvency
The report explores the risks and impact of climate change on a global scale. The report emphasises the need for a realistic risk assessment urgently and laying out a blueprint on developing a Planetary Solvency framework.
The elephant in the room: Aligning global bonds markets with climate goals
The global bond market is crucial for the achievement of the Paris Agreement's climate goals. This report analyses the alignment of corporate bonds with these goals while identifying challenges and proposing potential solutions, including the use of asset-level data and revaluation of benchmarks.