This paper provides novel evidence on the role of gender in the performance of university students, which is particularly relevant to the debate on the performance of female students in science, technology, engineering and mathematics (STEM) subjects. Our approach relies on the metafrontier approach proposed by Huang et al. (2014), which measures students' efficiency within a given faculty and the impact of the faculty’s technology on students’ efficiency. We use a sample of 53,159 first-year students in 8 faculties from a large university in southern Italy from 2002–2003 to 2010–2011. Students’ efficiency is relatively low, reflecting an essential role of unobserved heterogeneity. The different technologies of somewhat similar faculties have minimal impact on efficiency. There is a performance gap against women in five faculties, which on average is strongest for the faculties in the pure and applied science area. This gap increases with the proportion of female students and decreases with female lecturers.

Regulators should ensure the smooth functioning of the system and promote regional development. Making the health of financial institutions is therefore a prerequisite for a sustainable economic development. This paper contributes to the literature on the relationship between the financial stability and growth within the area of one country. This implies that institutional, legal, and cultural factors are more adequately controlled for and financial markets are more accurately bounded. Using a rich sample of Italian banks over the 2001–2012 period, this paper addresses whether different measures of financial distress affect economic development of labour market areas in Italy. Results show that the financial stability has a positive effect on local economic development, robust to alternative variables capturing financial vulnerability. The presence of spatial effects is tested showing that better financial conditions of the banking system in neighbouring areas have a detrimental effect on an area’s growth.

This paper explores the firm-level relationship between product, process, organizational and marketing innovation activities and firm productivity. We propose a structural model that relates R&D decisions, innovation activities, and productivity by using a version of the model developed by Crépon, B., E. Duguet, and J. Mairesse. (1998) and empirically analyze the drivers of firms’ innovation strategies as well as which combination has effects on firm's economic productivity. Results show that R&D expenditures are an important predictor of all types of innovation as well as an important indirect driver of firm productivity through innovation activities. Both process and product innovation have positive effects on firm's economic productivity, especially when they are jointly conducted. Organizational activities are beneficial also for other types of innovation and especially for process innovation. The introduction of a new product on the market may raise productivity if complemented by marketing innovations. Results are driven by firms that have invested the most in new equipment and machinery.

This paper tests the Wagner’s assumption of the one-sided directional flow moving from economic growth to public spending considering an international database over the 1996–2012 period. By using indicators on the level of country control of corruption, government effectiveness, political stability, rule of law, regulatory quality and voice and accountability, the paper analyses the economic performance-public spending nexus controlling for the quality of the institutions. The empirical evidence supports the existence of the Wagner’s law, showing that, in the short-run, public spending positively reacts to a positive shock in national income, with a lower magnitude for democratic countries. In the long run, the error-correction model shows the convergence between public spending and national output occurring less quickly for non-democratic, low-income and to a smaller extent for non-OECD countries. Institutional quality, such as effort in controlling corruption and the presence of regulations that permit and promote private sector development, may help reducing the amount of per capita public spending and making it more productive. Higher expenses in compositional amenities such as public services for the elderly may explain why public spending per capita will increase the most in economies with a higher share of the population that need healthcare facilities.

This paper aims to explore the relationship between bank market power and stability of financial institutions in Italy between 2001 and 2012. The authors first test the existence of a U-shaped relationship between market power and financial stability. Second, they regress the market share indicator on bank risk-taking to underline whether financial stability is affected by increasing or decreasing the market power of banks. Third, they explore whether this relationship is affected by the size, level of capitalization and credit insolvency of banks. Relying on highly territorially disaggregated data at labor market areas level, the authors estimate the impact of bank market power and other explanatory variables on a proxy of risk taking behavior such as the banking “stability inefficiency” derived simultaneously from the estimation of a stability stochastic frontier. Bank market power is taken into account through an individual measure based on loans. Financial stability is calculated through the Z-score. The authors use, as risk-taking measure, the stability inefficiency whose estimation approach is the stochastic frontier analysis. The empirical evidence shows that the inefficiency of financial stability is found to be U-shaped related with respect to the measure of market power. Bank size is an essential factor in explaining the relationship between bank market power and risk-taking. Cooperative banks have fewer incentives to gain market power to better perform in term of risks. The reform of the cooperative banks that took recently place in Italy is not supported by the data.

Relying upon highly territorially disaggregated data taken at labour market areas, the paper explores the relationship between bank performances and financial stability of the banking system taking into account the role of market concentration. The z-score is used as financial stability indicator, while the performance of financial intermediaries is measured using a parametric method recently developed (Kumbhakar et al. 2014). The empirical evidence shows a positive relationship between bank performance and financial stability and supports the ‘concentration–stability’ view for non-cooperative banks only when concentration is measured on the whole sample of banks. Differences in the performance–stability nexus seem to depend more on the type of banks rather than different levels of market concentration. Higher market concentration of cooperative banks affects systemic stability by reducing the z-scores of non-cooperative banks, supporting the hypothesis that the presence of non-profit-maximizing entities can pull down stability of other financial institutions.

This paper analyzes how national income (per capita real GDP) influences the environmental pollution (per capita CO2 emissions) using a very heterogenous sample composed by 120 countries during the 2000–2009 period. We first apply a panel unit root test suggested by Im et al. (J Econometr 115(1):53–74, 2003) to examine the stationarity properties of CO2 emissions and GDP and then a two-step generalized method of moments (GMM) estimator, paying particular attention to the non-linearity of the national income–environmental pollution relationship, to investigate the existence of a Kuznets curve for CO2 emissions. Preliminary evidence showing the existence of an inverted U-shaped relationship between national income and environmental pollution, validating the Kuznets’s hypothesis, turned out to be measleading once the issue of (non) stationarity has been taken into account. Results also show that as population and industrial output expand, more pressure will be put forth the environment, leading to more emissions, calling for more strict environmental and energy conservation policies.

In recent years more and more numerous are the rankings published in newspapers or technical reports available, covering many aspects of higher education, but in many cases with very conflicting results between them, due to the fact that universities' performances depend on the set of variables considered and on the methods of analysis employed. This study measures the efficiency of Italian higher education using both parametric and non-parametric techniques and uses the results to provide guidance to university managers and policymakers regarding the most appropriate method for their needs. The findings reveal that, on average and among the macro-areas of the country, the level of efficiency does not change significantly among estimation approaches, which produce different rankings, instead. This may have important implications as rankings have a strong impact on academic decision-making and behaviour, on the structure of the institutions and also on students and graduates recruiters.

This paper investigates the regional innovation system (RIS) efficiency, and its determinants, in Italy through a stochastic frontier analysis and using the concept of a knowledge production function. The contribution of university, private and public sector resources devoted to research and development (R&D), in generating innovation, has been examined, as well as the impact of several exogenous environmental variables on RIS efficiency. The empirical findings are in favour of the importance of R&D investments taking place in the universities and in the private sector, which benefit the most to regional innovation activities; the evidence also suggests the relevance of the knowledge context in which the firms operate as the existence of an intermediation structure, such as a university technology transfer office, has an important role on the innovation process. State-level policies can be detrimental for overall efficiency, and instead special interventions for regions in the Southern area should be designed.

The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on inefficiency and its determinants, taking explicitly into account the role played by students’ socio-economic and educational background. The empirical evidence, based on 48,338 freshmen, leads towards the use of individual-level data in order to control for the portion of the student academic achievement affected by the personal characteristics and effort, and the portion ascribable to the resources or organization of the institutional activities. Within the limit of external validity allowed by operating within only one university, efficiency scores derived from using both individual-level and aggregate level data do offer an important instrument to the university and governance structures.

This paper applies data envelopment analysis (DEA) to assess technical efficiency in a big public university. Particular attention has been paid to two main activities, teaching and research, and on two large groups, the Science and Technology (ST) sector and the Humanity and Social Science (HSS) sector. The findings, based to data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies, such as three research and two student questionnaire-based teaching alternative indices, reduce performance and its differentials for both research and teaching activities. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain bias-corrected estimates. The Malmquist index is calculated to measure changes in productivity.

The purpose of this paper is to investigate the effect of religious involvement on subjective well-being (SWB), specifically taking into account the implication of selection effects explaining religious influence using the British Household Panel Survey data set. In order to measure the level of religious involvement, the authors construct different indices on the base of individual religious belonging, participation and beliefs applying a propensity score matching estimator. The results show that religious active participation plays a relevant role among the different aspects of religiosity; moreover, having a strong religious identity such as, at the same time, belonging to any religion, attending religious services once a week or more and believing that religion makes a great difference in life, has a high causal impact on SWB. The authors’ findings are robust to different aspects of life satisfaction. The authors offer an econometric account of the causal impact of different aspects of religiosity finding evidence that the causal effect of religious involvement on SWB is better captured than through typical regression methodologies focussing on the mean effects of the explanatory variables.

In assessing the performance of universities, the most recent literature underlined that the efficiency scores may suffer from the presence of incidental parameters or time-invariant, often unobservable, effects that lead to biased efficiency estimates. To deal with this problem, we apply a procedure developed by [67]; for estimating the efficiency in Italian higher education through a multi-output parametric distance function. We show that models which do not consider unobservable heterogeneity tend to estimate divergent efficiency scores. We also study the determinants of efficiency; the findings provide a clue towards the expansion of pro-competitive policies in the Italian higher education sector, consistently with the interpretation that when market forces operate, there are benefits for university efficiency. When exploring differences in the performance of universities, by geographical areas, we claim that maintaining State-level policies can be detrimental for overall efficiency, and instead special interventions for universities in the South should be designed.

This paper explores the use of a data envelopment analysis approach to decompose student's under-attainment in a part attributable to the Faculties they are enrolled in and a part attributable to the students themselves. The mean measure of each Faculty's teaching efficiency is calculated using both individual and aggregate data. The results show that efficiency measures at aggregate level reflect both the student's effort and the characteristics of the institution to which they belong, suggesting that they might lead to ambiguous results. The estimates also reveal that Faculties need to stimulate their student's effort in order to perform better.

By employing a Granger causality methodology in a panel data framework, this article explores the relationship among efficiency, capitalization and credit risk within the local Italian banking system. Focusing the attention on cooperative banks, we specifically test whether managers take more risks in highly concentrated markets (i.e. monopoly) than in partially competitive markets (i.e. duopoly). The evidence shows that in more concentrated markets, management efficiency generates a decrease in risk-taking (rejecting the bad management hypothesis) with respect to the partially competitive markets. Results are consistent with the idea that banks with less local competition are able to increase their profits by indulging more freely in rent-seeking behaviour, minimizing their risk-taking and, consequently, improving the quality of their assets through additional screening processes. The financial crisis does not seem to affect the conduct of management in terms of bank investment decisions and risk-taking. A series of robustness tests generally confirms our findings.

This paper applies a data envelopment analysis (DEA) method to assess technical efficiency of both private and public universities in Italy. A directional distance function approach has been applied in order to handle both desirable (i.e. number of graduates) and undesirable (i.e. number of dropouts) outputs. The findings based on a panel from academic year 2003/2004 to 2007/2008 reveal the presence of interesting geographical (both by macro areas and regions) and ownership (private, public) effects. Several quality and quantity proxies have also been used in order to check whether the estimates depend on the output specification. Finally, the possible evidence of variation in the universities’ performances by subject of study has been taken into account in order to check whether the results are still consistent comparing universities within subject rather than across subjects.