Restructuring the Alitalia business model

This paper analyzes the performance of the Italian airline company, Alitalia, after the deregulation in the air transport industry in the European Union. Company performance is analyzed using Tornqvist indices. The evidence shows as Alitalia productivity slowdown has been caused by the company failure to support an increase in input with a supply-oriented strategy.     

Competition and political organization: Together or alone in lobbying for trade policy?

This paper employs a novel data set on lobbying expenditures to measure the degree of within-sector political organization and to explore the determinants of the mode of lobbying and political organization across U.S. industries. The data show that sectors characterized by a higher degree of competition tend to lobby more together (through a sector-wide trade association), while sectors with higher concentration and more differentiated products lobby more individually. The paper proposes a theoretical model to interpret the empirical evidence. In an oligopolistic market, firms can benefit from an increase in their product-specific protection measure, if they can raise prices and profits. They find it less profitable to do so in a competitive market where attempts to raise prices are more likely to reduce profits. In competitive markets firms are therefore more likely to lobby together, thereby simultaneously raising tariffs on all products in the sector.     

Turbulence effects on dust explosion venting

The ability to estimate the intensity of accidental dust explosions is an essential prerequisite of methodologies intended to provide design guidelines for the protection of equipment and buildings where combustible dusts are being handled. In general, the severity of an explosion depends on the type of dust involved, its physical properties (such as particle size and moisture content), the characteristics of the interested volume (size, shape, presence of vents, and blockages), the strength and type of the ignition source, and the conditions of the environment (air flow, turbulence).     

Deferred taxation under default risk

In this article, we have used a continuous EBIT-based model to study deferred tax liabilities under default risk. Quite surprisingly, default risk has been disregarded in research on deferred taxation. In order to underline its importance, we first calculated the probability of default, over a given time period, together with the contingent value of tax deferral. We then applied our theoretical model to a sample of 27,749 OECD companies. We showed that, when accounting for both firms with a negative EBIT and firms with a probability of default higher than 50% (over a 10-year period), a relevant percentage of firms were close enough to default. Hence, the expected present value of deferred taxes is much lower than that obtained in a deterministic context. From the Government’s point of view, deferred tax liabilities are a risk-free loan. Since only a portion are subsequently repaid, the Government should account for future losses due to companies’ default. So far, these estimates have been missing, although techniques do exist and are quite practical.     

The economic impact of digital technologies in Europe

This paper analyses the economic impact of digital technologies in Europe distinguishing between different stages/domains of the digitalization process. A set of composite Information and Communication Technologies (ICT) indicators is used for capturing the access to ICTs, the ability to use them and the digital empowerment of individuals in key social and economic domains. We argue that the mere accessibility to ICT facilities is only a pre-condition for moving towards a digitalized society, while the ‘level’ and the ‘quality’ in the use of these technologies, as well as the conditions facilitating or hampering digital empowerment, play a much more important role. Several transmission mechanisms from ICT access, usage and digital empowerment to key macro-economic variables (namely labour productivity, gross domestic product per capita, employment growth and the employment rate) are identified. The econometric evidence supports our hypotheses showing that the usage of ICT, and mostly digital empowerment, exert the major economic effects, especially on employment also favouring the inclusion of ‘disadvantaged’ groups in the labour market. We conclude that digitalization may drive productivity and employment growth and that inclusive policies may effectively contribute to bridge the gap between the most favoured and the disadvantaged parts of the population, thus helping in achieving the 2020 Europe targets.     

A mixed-mode sensitive research on cannabis use and sexual addiction: improving self-reporting by means of indirect questioning techniques

In this article, we describe the methods employed and the results obtained from a mixed-mode “sensitive research” conducted in Spain to estimate certain aspects concerning patterns of cannabis consumption and sexual addiction among university students. Three different data-collection methods are considered and compared: direct questioning, randomized response technique and item sum technique. It is shown that posing direct questions to obtain sensitive data produces significantly lower estimates of the surveyed characteristics than do indirect questioning methods. From the analysis, it emerges that male students seem to be more affected by sex addiction than female students while for cannabis consumption there is no evidence of a predominant gender effect.     

Gender Differences in Sorting

In this paper, we investigate gender differences in workers’ career development within and outside the firm to explain the existence of gender wage gaps. Using Danish employer–employee matched data, we find that good female workers are more likely to move to better firms than men but are less likely to be promoted. Furthermore, these differences in career advancement widen after the first child is born. Our findings suggest that career impediments in certain firms cause the most productive female workers to seek better jobs in firms in which there is less gender bias.     

Money secrets: How does trade secret legal protection affect firm market value? Evidence from the uniform trade secret act

Research summary : We investigate the impact of trade secret legal protection on firm market value in the context of acquisitions. On one hand, market value may increase because trade secret assets become better protected from rivals. On the other hand, market value may decrease because trade secret protection reduces information about the target and its competitors available to potential buyers, increasing uncertainty about its value. Buyers will discount their offers in expectation of being compensated for riskier deals. Using a sample of private equity investments in the United States, we find that trade secret protection has a positive effect in industries with high mobility of knowledge workers, but a negative effect in industries with (1) high resource–value uncertainty and (2) high poor‐investment risk. Managerial summary : We argue that an increase in trade secret legal protection might not unequivocally benefit firm owners when selling their business. A stronger trade secret protection increases the market value of firms in industries with high workers' mobility, but it decreases the market value of firms in industries with uncertain resource value and/or high risk of poor‐acquisition investments. Based on the contingent effect of trade secret protection, companies may want to adjust their strategic decisions, including where to locate or relocate, based in part on whether they will derive benefits or suffer losses when trade secrets are better protected. Finally, our study should help policymakers understand more fully the economic impact of government policies associated with trade secrets. Copyright © 2016 John Wiley & Sons, Ltd.     

Off-season tourists and the cultural offer of a mass-tourism destination: The case of Rimini

This paper assesses the potential implications on off-season tourism of enhancing the cultural offer of Rimini, a popular Italian seaside holiday destination hosting about 12 million overnight stays per year. Since more than 9 million of these stays are concentrated in the summer season, in the last 20 years. Rimini has been undergoing a policy of seasonality smoothing, which mainly pivots around business and cultural tourism. This assessment has been carried out through discrete choice experiments submitted to a sample of about 800 tourists who visited Rimini outside the summer months. Since tourism can be viewed as a composite good, which overall utility depends on how the component characteristics are arranged, the choice experiments allow to disentangle the importance and the willingness to pay of tourists for different attributes of the holiday. The choice model incorporates a number of possible changes to actual tourism features (which are also the subject of public debate), including them in hypothetical alternative “holiday packages”. The conditional logit analysis of the choice experiments can highlight any synergy or trade-off between cultural and business tourism. Results suggest that business and leisure tourists share many features related to the use of the territory, while there are important trade-offs between these two groups and cultural tourists. Since business tourists have a higher willingness to extend their stay, a softer budget, and their demand is also complementary to the demand of summer tourists (Brau, Scorcu, & Vici, 2009), from the destination point of view investing in this market segment would be the best option. Although a “second best”, however, cultural tourists share with the local population of Rimini many aspects of the demand of territory (Figini, Castellani, & Vici, 2009). Hence, cultural tourism can play a fundamental role in the intermediate season as a tool for smoothing seasonality, to diversify investments and to give value to the city’s cultural heritage.     

Incorporating risk in a positive mathematical programming framework: a dual approach

In this study we develop a new methodological proposal to incorporate risk into a farm‐level positive mathematical programming (PMP) model. We estimate simultaneously the farm nonlinear cost function and a farmer‐specific coefficient of absolute risk aversion as well as the resource shadow prices. The model is applied to a sample of representative arable crop farms from the Emilia‐Romagna region in Italy. The estimation results confirm the calibration ability of the model and reveal the values of the individual risk aversion coefficients. We use the model to simulate different scenarios of crop price volatility, in order to explore the potential risk management role of an agri‐environmental scheme.