Transparency on scientific instruments

Scientists and commercial scientific instrument makers have a shared incentive against discloseing an instrument maker's contributions to research. Stricter rules to encourage reporting of such collaboration would help to improve transparency and reproducibility

Public Funds and Local Biotechnology Firm Creation

A long stream of academic literature has established that public funding towards research and development matters for economic growth because it relates to increases in innovation, productivity and the like. The impact of public funding on the creation of new firms has received less attention in this literature despite theoretical constructs that support such association. In the present paper we study whether indeed there is a relationship between public research funds and local firm births in the context of the U.S. biotechnology industry. In doing so, we introduce a number of changes that strengthen the robustness of our findings when compared with existing literature. These changes include a direct measure of research expenditures and a considerably lengthier longitudinal dataset which allows us to capture a structural relationship and not a chance event. We empirically demonstrate that increases in the level of research funding from the National Institutes of Health towards biotechnology associate with increases in the number of biotechnology firm births at the Metropolitan Statistical Area level. Further, we reveal that public funds towards established firms associate with local firm births considerably more strongly when compared with funds towards universities and research institutes/hospitals. We conclude the paper with academic and policy implications of the present work that highlight the complexity of factors that underlie the creation of local firms in high technology industries

Understanding the selection processes of public research projects

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 othe European regional public authorities. Leveraging a unique dataset, a Heckman selection model demontrates 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

Location choice of academic entrepreneurs: Evidence from the US biotechnology industry

Where knowledge-based firms are located is important because entrepreneurship, firm creation and innovation are typically associated with regional economic development, wealth creation and increased employment. In this paper we examine where academic entrepreneurs locate their firms. We begin by developing a theoretical model that examines the location choice of the academic entrepreneur within the standard utility maximization theory. Academic entrepreneurs are assumed to maximize their utility by allocating their efforts between academic and entrepreneurial pursuits which, in turn, determine their future streams of income and end-period wealth. Optimal allocation turns out to be a function of both personal and external factors that condition the relevant payoffs and such factors can be empirically observed. We then use several candidate explanatory variables to examine those factors that may influence the firm location choice for 187 biopharmaceutical firms started by 275 academic entrepreneurs in the US. From our empirical analysis we find that location-specific factors such as proximity to certain knowledge assets and to the funding venture capital firms, affect the firm location choice of academic entrepreneurs. Nevertheless, entrepreneur-specific characteristics, such as their age, seem to dominate the choice of firm location

Spatial Collocation and venture capital in the US biotechnology industry

Biotechnology firms operate in a high-risk and high-reward environment and are in a constant race to secure venture capital (VC) funds. Previous contributions to the literature show that the VC firms tend to invest locally in order to monitor their investments and to provide operating assistance to their target firms. Further, biotechnology is a knowledge-based industry that tends to exhibit spatial clusters, and the firms in such industries may collocate to benefit from gaining access to local markets for specialized inputs (e.g., skilled researchers) and from local knowledge spillovers and network externalities. If such gains exist, we expect that the collocated firms should exhibit positively correlated performance, including in their ability to attract venture capital funds. The purpose of this paper is to empirically measure the strength and spatial extent of the relationships among the amount of funds raised by proximate biotechnology firms. We model these relationships with a spatial autoregression (SAR) model, and we control for characteristics of the biotechnology firms and the VC firms that provide their funds as well as site-specific factors. Based on our fitted SAR model, we find that the amount of venture capital raised by a particular biotechnology firm is significantly influenced by the number of VC firms and the VC funding levels raised by biotechnology firms located within a 10-mile radius, but these relationships are not statistically significant beyond this range