Project Coordinator and Principal Researcher: Dr Kyriakos Drivas
Duration: February 2024 - February 2025
Overview
Over the past fifteen years, research work has employed machine learning techniques to uncover countries’ comparative advantages and ways via which they can branch out to new trade activities of higher economic value and complexity. Τhere has been significant work to examine how countries branch out to related economic activities such as exports, industries and technology. Nevertheless, despite the voluminosity of this work, there is a scarcity over how to bridge the upstream stages of the value chain (science and innovation) and downstream stages (exports). For countries like Greece, which attempt to tap into their human and knowledge capital to differentiate their offerings in the international arena, such a synthesis via the use of trade and innovation metrics is warranted.
To this end, we propose an analysis that will bring together innovation and export activity to identify capacities and areas of latent comparative advantage and an in-depth survey questionnaire targeted to Greek innovators to uncover the challenges and opportunities in adding value to their offerings.
Research Team
Project Coordinator and Principal Researcher: Dr Kyriakos Drivas, Associate Professor, Department of Economics, University of Piraeus