Testing the taxmimicking versus expenditure spill-over hypotheses using English data

Spatial interaction among local governments in tax setting and public spending decisions is receiving increasing attention in the applied public economics literature. Spatial interaction models rely on the presence of an externality from local budget making: in traditional public finance models, external effects originate either from interjurisdictional resource flows due to tax competition for a mobile base, or from local public expenditure spill-overs into neighbouring jurisdictions. However, the recent political agency/yardstick competition literature has stressed the role of ‘informational’ externalities between neighbouring jurisdictions, and predicted tax mimicry at the local level. The actual relevance of the above hypotheses clearly needs to be assessed empirically. In this paper, an attempt is made at discriminating between alternative sources of local fiscal interaction, by using data on the English municipal authorities' budgets. While both public spending levels and local property tax rates exhibit considerable positive spatial autocorrelation, maximum likelihood and instrumental variables estimation results suggest that the interdependence among local governments can be attributed to mimicking behaviour in local property tax setting.     

The drivers of patent transactions: corporate views on the market for patents

In recent years, the proactive management of patents and their exploitation through licensing out and sales transactions have been enhanced by the development of intermediaries and trading platforms. This paper first investigates the main drivers of companies' decisions to engage in patent licensing and sales; then, it examines how improvements in the marketplace for patents and more intense involvement of patent brokers might impact the factors hindering the development of patent transactions. The study's findings are supported by the results found in the scientific literature and by evidence from a survey conducted on a sample of companies involved in patent transactions.     

Exploring the role of human resources in technology out-licensing:an empirical analysis of biotech newtechnology-based firms

Out-licensing is a technology exploitation option to generate revenues without investing in downstream complementary assets. Despite its increasing strategic relevance, the strong complexity of out-licensing activity determines a substantial discrepancy in firms’ ability to extract monetary benefits from this practice. Searching for determinants of out-licensing performance, the paper focuses in particular on the role of licensing managers. Based on a multiple case study analysis involving 26 out-licensing deals executed in seven Italian biotech NTBFs, the study shows that expert scientific skills, extensive licensing practice and prior employment in multinationals, but not an intense social network, characterise successful licensing managers, while high delegation and powerful intrinsic rewards enable individual capacities of licensing managers to translate into actual economic value.     

Does VC fund diversification pay off? An empirical investigation of the effects of VC portfolio diversification on fund performance

The paper tests different theories of how diversification by Venture Capital (VC) firms affects fund performance. The Financial Intermediation and the Resource-based Theory suggest that lower financial risk associated with diversification implies a lower return. However, the assumptions of these theories are questionable in the context of venture capital. We test their validity using data on VC portfolio diversification by industry and country using an original dataset of 649 VC funds originating in the United Kingdom over the period 1981–2000. Results show that higher diversification by industry does indeed lower VC fund success rates. Diversification by geographical region, on the contrary, increases returns.     

Beta-product dependent Pitman–Yor processes for Bayesian inference

Multiple time series data may exhibit clustering over time and the clustering effect may change across different series. This paper is motivated by the Bayesian non-parametric modelling of the dependence between clustering effects in multiple time series analysis. We follow a Dirichlet process mixture approach and define a new class of multivariate dependent Pitman–Yor processes (DPY). The proposed DPY are represented in terms of vectors of stick-breaking processes which determine dependent clustering structures in the time series. We follow a hierarchical specification of the DPY base measure to account for various degrees of information pooling across the series. We discuss some theoretical properties of the DPY and use them to define Bayesian non-parametric repeated measurement and vector autoregressive models. We provide efficient Monte Carlo Markov Chain algorithms for posterior computation of the proposed models and illustrate the effectiveness of the method with a simulation study and an application to the United States and the European Union business cycle.     

Linear household technologies

This paper discusses, estimates and formally compares the best known procedures for incorporating demographic variables into complete demand systems. In particular, a class of general procedures belonging to Gorman's family of ‘general linear household technologies’ is introduced. Estimation and comparison of different procedures make use of Italian household budget data for the years 1973–1992, incorporating a single demographic variable (family size) into a Generalized Quadratic Almost Ideal Demand System. In our empirical example, however, even the most general household technologies are unable to fully capture the behavioural heterogeneity shown by the data. Copyright © 2000 John Wiley & Sons, Ltd.     

An organizational culture for all seasons? How cultural type dominance and strength influence different performance goals

Organizational culture might influence results, especially in public healthcare organizations characterized by strong professional control. This study investigates whether a specific culture type is most effective in fostering performances. We assess organizational culture through Competing Values Framework and use multivariate regression analysis to test the relationship between dominant culture and competitiveness and financial results. Based on 529 responses from senior managers of 59 organizations, we found that dominant rational and hierarchical culture types are associated, respectively, with higher competitiveness and better financial results. Enhancing a specific performance dimension might require cultural changes aimed to align values with targeted results.