Improving data collection in pregnancy safety studies: Towards standardization of data elements in pregnancy reports from public and private partners (ConcePTION)

This paper analyses factors that affect the funding of agricultural research projects by regional governments and other regional public authorities. We study the selection process of agricultural research projects funded by the Emilia Romagna regional government in Italy, which follows funding procedures similar to many other European regional public authorities. Leveraging a unique dataset, a Heckman selection model demonstrates that the scientific merit of proposed projects is the primary selection criterion. Still, factors such as the experience of the proposal’s reviewers and the gender composition of the reviewing team also influence whether or not a submitted proposal receives funding as well as the amount allocated to the proposal.