This paper investigates the presence of explicit labour-saving heuristics within robotic patents. It analyses innovative actors engaged in robotic technology and their economic environment (identity, location, industry), and identifies the technological fields particularly exposed to...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and...

The transformation of the global agrifood system is characterized by the increasing importance of food safety and quality standards. This trend is challenging farmers in countries like Guatemala as they lack necessary skills and assets. This study analyzes the determinants of Globalgap adoption...

This paper investigates the presence of explicit labour-saving heuristics within robotic patents. It analyses innovative actors engaged in robotic technology and their economic environment (identity, location, industry), and identifies the technological fields particularly exposed to...

This paper studies the global synchronicity of technology and its impact on the economy. We employ dynamic factor analysis to decompose patent data in different digital technologies for various countries into global and country-specific factors. Our findings confirm the existence of global and...

The transformation of the global agrifood system is characterized by the increasing importance of food safety and quality standards. This trend is challenging farmers in countries like Guatemala as they lack necessary skills and assets. This study analyzes the determinants of Globalgap adoption...

This paper investigates the presence of explicit labour-saving heuristics within robotic patents. It analyses innovative actors engaged in robotic technology and their economic environment (identity, location, industry), and identifies the technological fields particularly exposed to...

This paper examines typical “energy paths”, i.e. the intertemporal development of the energy mixes of the member states of the European Union over 1971-2010. We apply model based clustering to detect major energy profiles and their compositional dynamics. The seven identified clusters show...

This paper describes recent work to strengthen nowcasting capacity at the IMF’s European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...