This paper explores how the need to transition to a low-carbon economy influences firm credit risk. It develops a novel dataset which augments data on firms' green-house gas emissions over time with information on climate disclosure practices and forward-looking emission reduction targets,...

This paper explores how the need to transition to a low-carbon economy influences credit risk. It develops a novel dataset covering firms' greenhouse gas emissions over time alongside information on strategies for managing transition risk, including climate disclosure practices and...

We match firm-corporate governance characteristics with firm-level carbon dioxide (CO2) emissions over the period 2009-2019 to study the relationship between gender diversity in the workplace and firm carbon emissions. We find that a 1 percentage point increase in the percentage of female...

Ensuring that climate finance is used effectively will help to maximise its impact. The effectiveness of climate finance can be defined as the extent to which an activity attains its stated aims. These aims can vary, depending on the source of climate finance and how it is channelled. There are...

The insurance industry could potentially play a greater constructive role in mitigating climate risk by aligning with entities that scrupulously incorporate environmental, social, and governance (ESG) aspects in their business philosophy

How sensitive is Earth's climate to a given increase in atmospheric greenhouse gas (GHG) concentrations? This long-standing and fundamental question in climate science was recently analyzed by dynamic panel data methods using extensive spatiotemporal data of global surface temperatures, solar...

We discuss some conceptual and practical issues that arise from the presence of global energy balance effects on station level adjustment mechanisms in dynamic panel regressions with climate data. The paper provides asymptotic analyses, observational data computations, and Monte Carlo...

We discuss some conceptual and practical issues that arise from the presence of global energy balance effects on station level adjustment mechanisms in dynamic panel regressions with climate data. The paper provides asymptotic analyses, observational data computations, and Monte Carlo...