Who's going to provide the funding for high tech start‐ups? A model for the analysis of determinants with a fuzzy approach

The aim of this paper is to understand which factors influence the financial structure of Italian young, high‐tech, innovative firms, and to attempt to formulate a predictive model to determine the ideal financial strategy for a given entrepreneurial project. Venture capital is the most relevant form of financing for high‐technology start‐ups in the United States and is frequently cited as crucial in the technological leadership of the US economy. However, banks are also moving toward establishing a role in capital provision, making innovative offers to meet the financial needs of start‐ups, especially in bank‐centric countries such as Italy. Is it possible to build a robust and ordered set of determinants of the financial strategy of new technology‐based firms? Is it possible to gather them in a model that allows a rigorous analysis? Is it possible to summarize the analysis in a synthetic value of orientation to one or other form of financing? Through a systematic review of the literature and comparison between investors, we have taken the first step toward answering these questions. This work develops a methodology to solve the problem and builds a provisional fuzzy‐set based tool to permit the rationalization of the relevant information and effectively support the reduction of qualitative evaluation of complex phenomena into simple and measurable dimensions. The structure of the model is hierarchical but simple. We consider, as the first level of main determinants (sub‐dimensions), the figure of the entrepreneur, the nature of the project, the financial scenario, and the market characteristics. For each of these, we provide deep insights about their relation with finance. We have verified the value of this approach in the context of ten business cases, by matching the financial strategies undertaken by entrepreneurs and the obtainable conclusions with the fuzzy tool. However, the definition of a robust, predictive model requires more consistent empirical validation, which we intend to develop from this work.     

Content and advertising in the media: Pay-tv versus free-to-air

We compare the advertising intensity and content of programming in a market with competing media platforms. With pay-tv, media platforms have two sources of revenues, advertising revenues and revenues from viewers. With free-to-air, media platforms receive all revenues from advertising. We show that if viewers strongly dislike advertising, the advertising intensity is greater under free-to-air television. We also show that free-to-air television tends to provide less differentiated content whereas pay-tv stations always maximally differentiate their content. In addition, we compare the welfare properties of the two different schemes.     

Industrial policy and manufacturing targeting in the US: new methodological tools for strategic policy-making

The economic crisis has pushed several countries to adopt selective industrial policies to promote manufacturing and some selected strategic sectors. Despite this new activism, the process of defining strategic targets risks being carried out with poor rigour on a political level, setting governments up for failure. This paper discusses the notion of strategic sector and proposes a new methodology to increase transparency and effectiveness in the identification of what can be defined as ‘strategic’. Focusing on the analysis of the US manufacturing system, we develop a composite indicator – the Strategic Sector Index (SSI) – to rank manufacturing industries on the basis of their strategic significance. Furthermore, we apply an uncertainty analysis methodology to the SSI to evaluate the robustness of the ranking and to minimise the degree of policy-makers’ discretionality in influencing the results.     

Multinational enterprises and technological spillovers: An evolutionary model

This paper analyses the determinants of the impact of foreign multinational enterprises on the technological development of domestic firms. It argues that the consequences of the foreign presence change according to market and technological conditions. An evolutionary model of technological competition between foreign and domestic firms is developed which is able to generate both vicious and virtuous circles of development in locations affected by foreign MNE activities. Theoretical analysis is tested against the empirical evidence for the UK economy (1983–1989).     

Information,belief elicitation and threshold effects in the 5X1000 tax scheme: a framed field experiment

In this paper, we study by means of a framed field experiment on a representative sample of the population the effect on people’s charitable giving of three, substantial and procedural, elements: information provision, belief elicitation and threshold on distribution. We frame this investigation within the 5X1000 tax scheme, a mechanism through which Italian taxpayers may choose to give a small proportion (0.5%) of their income tax to a voluntary organization to fund its activities. We find two main results: (i) providing information or eliciting beliefs about previous donations increases the likelihood of a donation, while thresholds have no effect; (ii) information about previous funding increases donations to organizations that received fewer donations in the past, while belief elicitation also increases donations to organizations that received most donations in the past, since individuals are more likely to donate to the organizations they rank first.     

Estimation of bubble dynamics in the Chinese real estate market: a State space model

This paper analyses the existence of a bubble in the Chinese real estate market and examines its driving factors with a state-space model. The model considers macroeconomic and real estate time series variables as inputs and employs a Kalman filter to obtain an estimated fundamental price using demand and supply for Chinese real estate. We then measure the deviation between actual and estimated fundamental real estate prices to test for the existence of a bubble. We find evidence for the existence of a bubble especially post 2010, when the deviation ratio is found to be significantly higher with a peak of 80% in 2012. Our estimation of overvaluation is generally much higher than in other studies.     

Gender Differences in Italian Children's Capabilities

This paper analyzes children's well-being using the capability approach, with a special focus on gender differences. The two areas analyzed are the capability of senses, imagination, and thought; and the capability of play. Using data from the 2008 Multipurpose Survey on Daily Life released by the Italian National Institute of Statistics, a structural equation model is estimated in which the capabilities are defined as latent variables that are intrinsically interrelated. For each capability, a set of indicators of functionings is utilized and the effects of individual and social conversion factors – including parents’ unpaid work, their level of education, and employment status – are analyzed. The model is applied to Italian girls and boys ages 6–10 in 2008. The analysis confirms that the two capabilities are interrelated. Policies aimed at improving children's achievements in education also improve the capability of play and vice versa. Differences by gender occur in the factors’ effects.     

Comparing German and Italian Public Universities: Convergence or Divergence in the Higher Education Landscape?

In this paper, we examine and compare the efficiency of Italian and German public universities and its evolution in the period 2001–2007. This topic is particularly important because of two main reasons: (i) as the universities are funded through public money in both countries, it is necessary to assess whether it has been used efficiently; (ii) the comparison among (similar) European countries can stimulate a benchmarking exercise that can be useful for managerial and policy making purposes. The results show that German universities are more efficient than their Italian counterparts are, using data envelopment analysis. However, the latter are catching up: in the period 2001–2007, their efficiency has improved more rapidly. Copyright © 2011 John Wiley & Sons, Ltd.