Using a firm-level dataset from the Spanish Technological Innovation Panel (2003-2016), this study explores the characteristics of environmentally innovative firms and quantifies the effects of pursuing different types of environmental innovation strategies (resource-saving, pollution-reducing,...

This paper investigates the contribution of Artificial Intelligence (AI) to environmental innovation. Leveraging a novel dataset of USPTO patent applications from 1980 to 2019, it explores the domain of Green Intelligence (GI), defined as the application of AI algorithms to green technologies....

This paper investigates the contribution of Artificial Intelligence (AI) to environmental innovation. Leveraging a novel dataset of USPTO patent applications from 1980 to 2019, it explores the domain of Green Intelligence (GI), defined as the application of AI algorithms to green technologies....

This study investigates the impact of the introduction of the European chemical regulation (the EU REACH legislation) on chemical search and innovation by focusing on the knowledge recombination processes leading to the generation of inventions. Using a novel dataset of patents and chemical...

This study investigates the impact of the introduction of the European chemical regulation (the EU REACH legislation) on chemical search and innovation by focusing on the knowledge recombination processes leading to the generation of inventions. Using a novel dataset of patents and chemical...

A toxic-free world is one of the goals of the European Green Deal and a key objective of the World Health Organization Inter-Organization Programme for the Sound Management of Chemicals. However, although use of some toxic chemicals is being banned, others continue to be developed. We consider...

Industrial innovation churns out increasingly unnatural products and technologies amid scientific uncertainty about their harmful effects. We argue that a quick regulatory response to the discovery that certain innovations are harmful is an important indicator for evaluating the performance of...

Food loss and waste (FLW) pose significant threats to global food system sustainability, necessitating urgent attention from public and private organizations. This paper investigates potential strategies for reducing FLW and examines the interplay between state regulatory intervention and...

This paper presents a scientometric and bibliometric analysis of research and innovation on self-driving cars. Through an examination of quantitative empirical evidence, we explore the importance of Artificial Intelligence (AI) as machine learning, deep learning and data mining on self-driving...