Value creation in banking through strategic alliances and joint ventures

A large number of studies (DeYoung et al., 2009) analyze merger outcomes in the financial industry, while other forms of business cooperation are still poorly investigated. Our paper examines results of strategic alliances and joint ventures in European and US banking over the period 1999–2009. First, we estimate abnormal returns around the deal announcement date and then these are regressed on a large set of explanatory variables. We show that joint ventures create shareholder value when involving non-banking financial partners and allowing banks to expand abroad, while international strategic alliances tend to destroy shareholder value.     

Design-based distribution function estimation for stigmatized populations

In this paper, we discuss in a general framework the design-based estimation of population parameters when sensitive data are collected by randomized response techniques. We show in close detail the procedure for estimating the distribution function of a sensitive quantitative variable and how to estimate simultaneously the population prevalence of individuals bearing a stigmatizing attribute and the distribution function for the members belonging to the hidden group. The randomized response devices by Greenberg et al. (J Am Stat Assoc 66:243–250, 1971), Franklin (Commun Stat Theory Methods 18:489–505, 1989), and Singh et al. (Aust NZ J Stat 40:291–297 1998) are here considered as data-gathering tools.     

Feasibility of risk‐based inspections in organic farming: results from a probabilistic model

A risk‐based inspection system might improve the efficiency of the organic farming certification system and ultimately provide a basis for increased competitiveness of this sector. This requires the definition of an effective inspection procedure that allows statistical evaluation of critical risk factors for noncompliance. In this article, we present a study based on data from selected control bodies in five European countries that is aimed at determining the feasibility of risk‐based inspections in the organic sector according to the data that are currently routinely recorded. Bayesian networks are used for identification of the factors that can affect the risk of noncompliance. The results show that previous/concurrent noncompliant behavior explains most of the risk, and that the risk increases with farm size and the complexity of their operations. The data currently recorded by control bodies appear to be insufficient to establish an effective risk‐based approach to these inspections.     

The Asymmetric Impact of War: Resilience,Vulnerability and Implications for EU Policy

Intereconomics - In 2019, over 96% of EU27 oil needs, nearly 90% of natural gas and over 43% of solid fuels were met by net imports, with the largest share coming from Russia (35% of oil, 40% of...     

A Golden Rule for Social Investments: How to Do It

Intereconomics - The idea of a golden rule has recently been relaunched in the framework of the debate on the European Green Deal.     

How firms finance innovation. Further empirics from European SMEs

This paper aims to evaluate the role played by different sources of financing when analyzing firms' attitudes towards innovating. The empirical investigation is based on a large sample of European small and medium-sized enterprises (SMEs) observed over the period 2012–2017. Different measures of finance and several robustness checks are used to select a well-behaved probit model. The results show that the probability to innovate increases when firms use internal financing and grants. The same applies when funds come from family and friends, while no conclusive evidence is found for bank loans. Recommendations for public policy to encourage firm-tailored policies to promote investment in intangibles allow firms to benefit from innovation activities. European SMEs will also benefit from capital market developments and the advancement of new financial tools devoted to supporting innovation.     

A case-control study on risk factors of domestic accidents in an elderly population

The aim of this study was to evaluate the combined influence of several lifestyle, health and housing factors in the occurrence of home injuries (HIs) among the elderly. The subjects were recruited from 10 hospitals in Rome, Italy. This study is a paired case-control study. Cases included subjects, aged 65-85 years, who visited the Emergency Department for an HI and were subsequently hospitalised (15 September 2004-30 June 2005). Controls were the subjects of the same gender, age (±3 years) and area of residence of cases. A conditional logistic regression model was used for analysing the variables obtained. In this study, we enrolled 107 hospitalised cases. It was found that the living room was the place where 33% of the accidents occurred. Eighty-seven per cent of the accidents were falls, and 33% of the accidents were the immediate consequence of sudden malaise. One-half of the cases reported one or more leg fractures. The variables that were independently associated with HI were poor household illumination, poor emotional status, regular physical activities and housekeeping activities. We conclude that this study shows the areas of intervention to target HI prevention activities.