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The objective of this work is to demonstrate the relationships between the two main processes of research and development (R&D) activities: the knowledge generation phase (KPP) and the knowledge commercialization, or transfer, phase (KCP), in a sector that is intensive in this type of activity, such as the pharmaceutical sector. In addition, within the framework of the general objective of this work, the authors propose two other objectives: (1) make advances in network efficiency measurement models, and (2) determine the factors associated with efficiency in the KPP and in the KCP in companies of the pharmaceutical sector in Spain.

A Network Data Envelopment Analysis (NDEA) model (Färe and Grosskopf, 2000) with categorical variables (Lee et al., 2020; Yeh and Chang, 2020) has been applied, and a sensitivity analysis of the obtained results has been performed through a DEA model of categorical variables, in accordance with the work of Banker and Morey (1986), to corroborate the results of the proposed model. The sample is made up of 77 companies in the pharmaceutical sector in Spain.

The results obtained point to a greater efficiency of pharmaceutical companies in the KPP, rather than in the KCP. Furthermore, the study finds that 1) alliances between companies have been the accelerating factors of efficiency in the KCP (but patents have slowed this down the most); 2) the quality of R&D and the number of R&D personnel are the factors that most affect efficiency in the KPP; and 3) the quality of R&D again, the benefits obtained and the position in the market are the factors that most affect efficiency in the KCP.

The authors have not found studies that show whether the efficiency obtained by R&D-intensive companies in the KPP phase is related to better results in terms of efficiency in the KCP phase. No papers have been found that analyse the role of alliances between R&D-intensive companies and patents, as agents that facilitate efficiency in the KCP phase, covering the gap in the research on both problems. Notwithstanding, this work opens up a research path which is related to the improvement of network efficiency models (since it includes categorical variables) and the assessment of the opinions of those who are responsible for R&D departments; it can be applied to decision-making on the aspects to improve efficiency in R&D-intensive companies.

The purpose of this paper is to analyze the factors that influence the profitability of 17 banks in Angola between 2010 and 2016, as low profitability weakens the ability and willingness of banks to finance the wider economy.

The paper conducts panel data analysis, using two measures of profitability: the return on average assets and the return on average equity. Several control variables were included concerning both bank-specific and macroeconomic characteristics which have not been considered in previous studies.

The authors conclude that several independent variables have an impact which is different from expected, especially regarding ownership, which shows positive statistically significant effect on banks’ profitability.

To the best of the authors’ knowledge, this is the first attempt to examine determinants of banks’ profitability in Angola, both internal and external, which have not been considered in previous studies.

The purpose of this paper is to analyse the determinants of workers’ compensation insurance prices in Portugal.

Multiple regression analysis was used to study the insurance price determinants. The independent variables considered are: payroll, number of employees, and incidence rate. In addition, three categorical variables were used: region, classification of economic activities, and enterprise size. A cross-firm panel data sample from the SABI database of 1,435 firms was considered, over a time horizon from 2010 to 2012. Furthermore, the sample split criterion was the enterprise size.

As expected, the results suggest that payroll and number of employees are related with workers’ compensation insurance prices. Furthermore, incidence rate, region, type of economic activities, and enterprise size have a positive and significant influence on premiums.

More panel data are needed to allow a greater focus on the impacts of GDP fluctuations and sectoral consolidation on insurance pricing. Further research could also include the impact of capital/reserving cycles, which can be driven both by economic shocks and the competition cycle. It is well known that insurers tend to reduce reserving standards when under pressure, and this can result in inadequate pricing.

The process of workers’ compensation insurance price formation is disentangled. The results suggest that the workers’ compensation insurance premiums behave as expected, especially under periods of economic strain. Therefore, workers’ compensation rate regulation should take this evidence into account, specifically through the establishment of minimum rates, which will protect the insurer, the employer, and the employees alike.

The paper is part of a considerable literature on insurance pricing in workers’ compensation, most of which has centred on private markets in the USA. This paper is the first empirical work that employs private market data for Portugal.

The purpose of this paper is to extend the knowledge into the relationship between open innovation (OI) and firm’s innovative performance. Specifically, the authors aim to determine whether the benefits of OI practices are different for Food and Beverage (FnB) firms as compared to those of other sectors. The FnB industry is relevant in terms of employment GDP generation in the UE, characterised by high integration and low-tech intensity.

In order to achieve the goal and obtain robust results, the authors consider four OI dimensions and four innovation performance measures using panel data (2004-2011) from 10,771 FnB and non-FnB firms using Tobit and Logit models by random effects.

The authors test and confirm the presence of the classical inverted U-shape relationship between OI and firm innovative performance for FnB and non-FnB companies. However, the optimal number of external sources of knowledge used is lesser for FnB than the rest of the companies.

The paper compares the OI effects in a traditional and low-tech industry vs other industries considering four innovation outputs (product innovations, process innovations, incremental innovation and radical innovation).

The objective of the paper is to test the existence of a direct effect between the funding level of a firm's pension fund and its respective market price in Portugal, from 2010 to 2015, using a selected sample of Portuguese Stock Index (PSI Geral) firms. Although this relationship has been contemplated in the literature, especially in the United States and the United Kingdom, there is no finding concerning Portugal. The study of pension assets and obligations is of particular importance to investors and market makers alike.

The paper utilizes two distinct methods – a cross-sectional model and a variable-effect event study – to assess the hypothesis that an increase in pension deficit is reflected in the market value of a firm by a decrease of equal magnitude.

This paper finds that a firm's market value is not reduced by an increase in pension deficit and that pension liabilities are already integrated in corporate debt. These results suggest that shareholders fail to take into account occupational pension plan funding status when valuing a firm in such a way that contrasts with the normal evaluation of debt.

To the best of the authors' knowledge, this is the first attempt to examine this relationship in Portugal.

This paper aims to advance the understanding regarding the profiting of collaborative innovation practices, focusing particularly on how the intensity of collaboration along the innovation process and the relatedness between the partners’ technological bases affect the outcomes of such process in terms of efficiency and generation of technological innovations.

Drawing on the results from causal models and the estimation of average marginal effects, this research analyses the direct and joint effect of technological proximity and intensity of collaboration in the early and late phases of the process.

The findings suggest that there is a positive unconditional relationship between the aforementioned aspects and innovative performance and that the joint effects diverge depending on the stage of the process, i.e. while in the early phase collaborating intensely with close partners seems to be advisable, this circumstance proves to be problematic in the late phase of the innovation process.

The analysis developed provides clarity regarding relevant aspects of collaborative innovation practices, particularly, the search for and selection of optimal partners. In general terms, the evidence found here suggests seeking for collaborating intensely along the whole process with partners whose technological bases present a tight matchup with that of the focal firm. Results also call for awareness of the potential drawbacks derived from intense collaborations with close partners in the late phases of the process, thus hinting toward the convenience of developing protection mechanisms. In addition, this work provides interesting insights that challenge the notion of “proximity paradox” and set out further questions that might be worth considering for future research.

The purpose of this paper is to demonstrate that overcapacity and tariff deficit (external constraints) negatively affect the efficiency of distribution firms in the Spanish electricity sector. To do this, the paper is based on the theory of constraints and theory of economic regulation.

Data envelopment analysis (DEA) window methodology is carried out on the constant scales (I-C) with a sample consisting of five main distribution firms during the period from 2006 to 2015. In turn, an analysis of the Malmquist index is carried out to assess whether it has had a displacement with respect to the efficiency frontier.

The results show that the overcapacity and the tariff deficit negatively affect the efficiency of the distribution firms of the Spanish electricity sector. In addition, there is an existence of external constraints that affect the activities of regulated organisations and the importance of adequate legislation in regulated sectors.

This study defines a model that shows how the efficiency problems associated with electricity distribution companies such as productive overcapacity or tariff deficit can be measured based on the theory of constraints and theory of economic regulation.

The aim of this paper is to study the relationship between banks' ownership structure and their risk-taking behavior as well as the impact of banking regulation on banks' approach to taking risk, after the 2008 financial crisis.

The empirical analysis considers a sample of listed banks from European Union (EU) countries, over the period of 2011–2016 and uses the generalized least squared (GLS) random effect (RE) method, following Baltagi and Wu (1999) and Pathan (2009).

The authors find that the structure of the board of directors can influence bank risk behavior but not the ownership concentration. No significant relation was found between the influence of the regulatory environment and bank risk, i.e., stricter regulation has no effect on risk taking by banks.

The paper contributes to the literature in risk measures and banks' corporate governance. It also considers the impact of regulatory framework on banks' risk-taking behavior. The aim of this empirical analysis was to examine in greater detail these subjects and the dynamics between them after the significant structural changes in the macroeconomic environment and in the financial system, particularly with regards the regulatory and supervisory framework following the 2008 financial crisis, using data from European Union countries.

The purpose of this paper is to explore the determinants of homeownership in Europe.

In this study, a logit model that predicts whether an individual is a homeowner or not was estimated. Wave 6 (2015) from the Survey of Health, Ageing and Retirement in Europe was used, through a sample of 46,003 respondents across all Europe and through four subsamples (Eastern, Southern, Northern and Western Europe).

The findings reveal that several factors influence homeownership, namely, geographic location, age, gender, number of children, marital status, job situation, household income, high education, years of education, political orientation and holding bonds, stocks, mutual funds, bank accounts, saving accounts, individual retirement account or life insurance. Different results were obtained when the four subsamples were considered.

The research findings provide an attempt to disentangle the main factors influencing homeownership. However, only individuals above 50 years of age were considered because of the database characteristics.

This paper provided insights to consider public policies that try to increase homeownership rates.

The results put in evidence the likelihood characteristics of a homeowner. Therefore, public policies should address those who do not fulfill those when promoting higher homeownership rates. For example, attention should be given to low and middle-income individuals.

The paper emphasised the characteristics of a homeowner in Europe, contributing to the discussion on this topic among policymakers, practitioners and researchers in Europe.