Universal Service and Entry: The Role of Uniform Pricing and Coverage Constraints

Universal service objectives are pervasive in telecommunications, and have gained new relevance after the introduction of competition in many markets. Despite their policy relevance, little work has been done allowing for a thorough discussion of instruments designed to achieve universal service objectives under competition. We intend to fill this gap, and disaggregate the problem into interacting forms of regulatory intervention such as uniform pricing and coverage constraints. It is shown that these are not competitively neutral and may have far-reaching strategic effects. Under uniform pricing, equilibrium coverage of both incumbent and entrant may be lower than without regulation. These effects depend on which measures are imposed at the same time, thus no single measure can be evaluated in isolation. We also point out that different groups of consumers are affected in different ways, making welfare comparisons difficult.     

Is Mobile Telephony a Natural Oligopoly?

This paper presents a model of competitive interaction among mobile telecommunications operators. Operators can offer services in twoseparate markets, urban and rural areas, and customers commute between them. Market coverage of an operator can then be interpreted as a parameter of vertical productdifferentiation. The main implication is that the industry has strong features of a``natural oligopoly': Only a limited number of operators with possibly different coverage cansurvive in equilibrium. It is also shown that competing operators do not have an incentiveto reach roaming agreements over non-overlapping areas. On the contrary, roamingcan be easily agreed upon by colluding operators.     

Dating Business Cycles: A Methodological Contribution with an Application to the Euro Area

This paper proposes a dating algorithm based on an appropriately defined Markov chain that enforces alternation of peaks and troughs, and duration constraints concerning the phases and the full cycle. The algorithm, which implements Harding and Pagan's non‐parametric dating methodology, allows an assessment of the uncertainty of the estimated turning points caused by filtering and can be used to construct indices of business cycle diffusion, aiming at assessing how widespread are cyclical movements throughout the economy. Its adaptation to the notion of a deviation cycle and the imposition of depth constraints are also discussed. We illustrate the algorithm with reference to the issue of dating the euro‐area business cycle and analysing its characteristics, both from the classical and the growth cycle perspectives.     

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).