Innovative productivity and returns to scale in the pharmaceutical industry

This study shows that firms in the pharmaceutical industry experience decreasing returns to scale in R & D as the level of R & D expenditures rises. The paper presents the results of our study of the innovative output of 16 pharmaceutical firms over a 19 year period. Given the strong correlation between R & D budgets and firm size, our study suggests the wave of mergers in the industry may yield less innovative productivity than managers expect.     

Endogenous Growth and Negative Externalities

Received March 5, 2001; revised version received August 5, 2002 Published online: April 30, 2003     

Are differences in firm size transitory or permanent?

An Erratum for this article has been published in Journal of Applied Econometrics 18(2) 2003, 249 Previous empirical work on corporate growth rates using cross‐section or short‐panel econometric techniques suggests that growth rates are random but that some degree of mean reversion exists. This means that size differences between firms are transitory. Another, more natural way to explore the long‐run distribution of firm sizes is to examine data on the growth of particular firms over long periods of time. Using a sample of 147 UK firms observed continually for more than 30 years, our conclusions are that growth rates are highly variable over time and that differences in growth rates between firms do not persist for very long. Further, firms show no tendency to converge to either a common size or to a pattern of stable size differences over time. These results are compared and contrasted with standard approaches that suggest that firms reach and maintain stable positions in a skewed size distribution. Copyright © 2002 John Wiley & Sons, Ltd.     

Procedural aspects of estimating the land potential for tourist recreation zone creation

The paper considers procedural aspects of land potential estimation when forming tourist and recreation territories allotted for tourist and recreation zones.     

Bayesian MCMC Mapping of Quantitative Trait Loci in a Half-sib Design: a Graphical Model Perspective

Graphical models provide a powerful and flexible approach to the analysis of complex problems in genetics. While task-specific software may be extremely efficient for any particular analysis, it is often difficult to adapt to new computational challenges. By viewing these genetic applications in a more general framework, many problems can be handled by essentially the same software. This is advantageous in an area where fast methodological development is essential. Once a method has been fully developed and tested, problem-specific software may then be required. The aim of this paper is to illustrate the potential use of a graphical model approach to genetic analyses by taking a very simple and well-understood problem by way of example.     

Capital structure and the control of managerial incentives

We present a theory of capital structure based on the power of shareholders, bondholders and managers to control the incentive conflicts in large corporations. The manager–owner conflict produces a trade-off between inefficiency in the low state and rents in the high state, and the shareholder–bondholder conflict produces under-investment as in Myers [Journal of Financial Economics 19 (1997) 147]. Since managers and bondholders both prefer more efficient actions in the low state, the two conflicts are interdependent. With risk-less levels of debt, there are no shareholder–bondholder agency costs, but managerial control over the incentive-setting process produces excessive rents. With risky debt, shareholders focus more on returns in the high state so that shareholder–bondholder agency costs increase but managerial rents decrease. Efficient levels of debt holder protection facilitate a reduction in manager–owner agency costs that outweighs shareholder–bondholder agency costs, and are decreasing in firm performance. The results are consistent with the separate empirical results relating control to both compensation and leverage, and suggest how future studies can be integrated.     

Ambient Taxes Under m-Dimensional Choice Sets, Heterogeneous Expectations, and Risk-Aversion

We consider the design of ambient taxes forrisk-neutral and risk-averse polluters whenpolluters and the regulatory agency haveasymmetric information about environmentalrelationships and probabilities associatedwith random events. Unlike prior work, we showthat under these conditions, optimal ambienttaxes must be firm-specific, and accompaniedby additional incentives to influencepolluters' choices of abatement techniques.