How Do Firm Characteristics Influence the Relationship between R&D and Firm Value?

This paper focuses on how a firm's characteristics affect the market valuation of its research and development (R&D) spending. We derive a valuation model based on the capital market arbitrage condition. Using the generalized method of moments and data from the Eurozone countries to estimate this model yields interesting results. Several firm characteristics (size, firm growth, and market share) positively affect the relationship between firm value and R&D spending, while others (free cash flow, dependence on external finance, labor intensity, and capital intensity) exert a negative effect. Therefore, we conclude that the effectiveness of R&D spending depends on firm characteristics.     

Industrial leadership in science-based industries: A co-evolution model

In this paper, we seek to analyse the role of national university systems in combination with technological and market factors as sources of industrial leadership and industry growth in science-based industries. We propose a model in which national university systems and their respective national firms and industries are considered as co-evolving. National firms compete on a worldwide level and they rely on the progress of science and the availability of scientists to innovate. As the global industry develops, firms try to mold their national university systems, but they achieve different degrees of success. Apart from highlighting the role of institutional responsiveness as a source of competitive advantage, our model points to the access to essential inputs for production, the technological and strategic characteristics of firms, the international diffusion of knowledge, and the initial distribution of market demand as key sources of leadership and industry growth. The international mobility of scientists seems to foster the emergence of industrial leadership shifts.     

Cap-and-Trade and Financial Constraints: Is Investment Independent of Permit Holdings?

We study a new channel by which permit holdings in a cap-and-trade system can affect investment behavior. In the presence of financial constraints, permit holdings can matter through their effect on the firm’s internally available resources and indirectly affect investment. To test this relationship, we exploit the cross-sectional and temporal variation in permit holdings and the temporal variation in the price of permits in the US (hbox {SO}_2) program. We find that capital expenditures are positively related to the market value of the permit holdings. This relationship is stronger for smaller firms and is robust to alternative explanations based on regulatory differences.     

Estimating financial distress likelihood

This study develops an ex-ante model for estimating financial distress likelihood (FDL), and contributes to the literature by presenting a financially-based definition of distress that is independent of its legal consequences, a theoretically supported model for the FDL, and an appropriate methodology that uses panel data to eliminate the unobservable heterogeneity. The model is then estimated cross-sectionally to obtain an indicator of the likelihood of financial distress that incorporates the specificity of each company. In doing so, this study provides a well-specified model that is stable in terms of magnitude, sign and significance of the coefficients and, more importantly, that yields a measure of the FDL that is more robust to time and the international context than the estimates of FDL that are based on seminal models. This measure could be appropriate for use in future research that deals with FDL, such as capital structure and the prevention of financial distress.     

The Puzzle of Persistently Negative Interest‐Rate–Growth Differentials: Financial Repression or Income Catch‐Up?

The interest‐rate–growth differential (IRGD) plays a critical role in determining the sustainability of government debt. Yet it is striking that IRGDs are correlated with income levels, and are generally negative in emerging and developing economies, which contradicts standard economic theory. Negative IRGDs constitute a powerful debt‐stabilising force, driving down debt ratios or keeping them stable even in the presence of persistent primary deficits. Motivated by the puzzling facts, this paper examines the IRGDs for a large panel of advanced and non‐advanced economies by utilising a newly assembled data set. The evidence shows that large negative IRGDs in emerging and developing economies are largely due to real interest rates well below market equilibrium – stemming from financial repression and captive and distorted markets – whereas the income catch‐up process plays a relatively modest role. Therefore, the IRGD in non‐advanced economies is likely to rise with financial market development and financial global integration, perhaps even before their GDP per capita converges to advanced‐economy levels.     

Endogenous categorization of the human development

The human development index (HDI) is one of the most well-known measures of welfare. We apply clustering techniques to endogenously determine how similar countries are with respect to the HDI, and into how many categories they can be classified. We find that, in contrast to the usual assumption in the United Nations’ Human Development Reports, the number of categories is not fixed and has varied over time, from three in 1990 to four in 2014. We also find that the countries within each category differ from the United Nation’s proposal.