We examine the relationship between the performance of companies relative to their global industry peers and their abuse of human rights. We exploit a unique database covering 245 large publicly listed companies from eight of the principal and most economically dynamic developing countries. We...

Cluster analysis and the classification tree technique are applied to investigate the relationship between the individual characteristics of Italian temporary help agency (THA) workers and their probability of achieving a temporary job. The application aims to show some advantages of these...

The paper investigates to what extent the convergence of banks over risk-adjusted capital standards set by the new Basel Capital Accord may affect the way in which they screen innovative firms. It also gives an overview of the existing forms of credit support to R&D activities. The study is...

This working paper uses machine learning to identify Cleantech companies in the Orbis database, based on self-declared business descriptions. Identifying Cleantech companies is challenging, as there is no universally accepted definition of what constitutes Cleantech. This novel approach allows...

This paper highlights the main challenges faced by the Cleantech sector. Key barriers include limited access to external finance, with many respondents expecting to raise significant funds in the next five years. Additionally, stringent and uncertain standards and regulations create operational...