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This paper aims to analyse the Portuguese companies’ determinants of capital structure. To reach this objective, the authors used data from 37 non-financial Portuguese large enterprises and from 4,233 non-financial small and medium enterprises for the period 2010-2016. Additionally, the authors selected a sub-period from 2010 to 2014 for a deeper understanding of the impact of the sovereign debt crisis and the Economic Adjustment Programme of Troika on the capital structure of those companies.

Three dependent variables were tested according to debt maturity, and a dynamic panel data model, namely, the generalised method of moments system estimator, was used to test the formulated research hypotheses following Arellano and Bover (1995) and Blundell and Bond (1998) to capture the dynamic nature of the firm’s capital structure decisions.

In general, the results point out that the capital structure decisions depend on a set of firm-specific factors, and that the effects of the determinants of the debt maturity ratios differ according to the type of firm, i.e. large/small firms, and the economic cycle.

To the best of the authors’ knowledge, this is the first study that has been carried out in Portugal by using two samples of large and small companies for analysing the effects of the Economic Adjustment Programme of Troika on the capital structure of companies. The authors seek to understand which type of companies suffered more because of the effects of the Economic Adjustment Programme of Troika during this period, and which are the capital structure determinants that present greater change. Contrary to what might be expected, large companies are the firms that suffer most from the Economic Adjustment Programme. Probably, because these companies are the most immediate, most scrutinised and those that must show abroad that the bank did not fund them in the long term, because of the imposition and limits to grant credit faced by the banks themselves.

The purpose of this paper is to analyse if capital structure decisions of small- and medium-sized Portuguese firms are in accordance with the predictions of dynamic trade-off theory, more precisely, the speed of adjustment of short-term debt (STD) and long-term debt (LTD) towards the respective target debt ratios.

Based on two samples of Portuguese firms, 1,377 small-sized firms and 811 medium-sized firms, dynamic estimators were used for the treatment of data obtained from the Amadeus database for the period 2007-2011.

The results indicate that small- and medium-sized firms adjust their STD and LTD ratios towards the respective target ratios. Small- and medium-sized firms present a high-speed adjustment towards the target STD ratio, suggesting that both types of firm face costs of deviating from the target capital structure, which are, probably, greater than the costs of adjustment associated with STD. However, considering the distance from the target ratio as a determinant of the adjustment speed, the results show the predominance of the negative effect of the costs of adjustment on capital structure adjustment speeds.

The results obtained for the speed of adjustment of STD and LTD, in a recession context, show that for small firms and medium-sized firms, mainly for the former, the costs of external market transactions are prohibitively high, slowing the speed of adjustment towards the target capital structure.

The purpose of this paper is twofold: first, to analyse the impact of intellectual capital (IC) and growth opportunities on firms’ financial performance as well as the moderating effect of IC on the relationship between growth opportunities and financial performance; and second, to analyse the impact of IC on growth opportunities.

The current study uses a sample of non-financial listed firms consisting of 14 Western European countries for the period between 2004 and 2015. The estimation method used is specifically the Generalised Method of Moments system (1998) estimator, a dynamic panel estimator.

The results reveal that the IC efficiency of the current period has a positive impact on the financial performance of high-, medium- and low-tech European firms. A non-linear relationship was found between growth opportunities and financial performance. Also, findings suggest that the positive relationship between growth opportunities and financial performance is enhanced with the efficient use of firms’ IC. Results indicate that the efficient use of IC in the current period has a greater impact on growth opportunities in high firms. Additionally, results reveal the presence of a non-linear relationship between ownership concentration and growth opportunities.

The current study contributes to the current literature by exploring a sample of firms across Western European countries, which is divided among high-, medium- and low-tech firms. The econometric modelling enables the author to conduct a longitudinal study.

The purpose of this paper is to analyze the relationship between firms’ intellectual capital (IC), financial performance (FP) and market value (MV) as well as the relationship between ownership concentrations on IC performance.

A large sample of non-financial listed firms belonging to 14 countries in Western Europe, for the period between 2004 and 2015, was investigated using the GMM system (1998) dynamic estimator and the effect of lagged explanatory variables on firm’s FP and MV.

The results reveal that IC is an important resource for firms’ value creation. Human capital is found to be a key factor of firms’ wealth. Results show that capital employed efficiency positively impacts on firms’ FP in the short run. The impact of IC components on firms’ MV may not be immediate. The structural capital positively affects firms’ FP in the long run. Also, the results reveal that ownership concentration and owners’ management involvement constrain firms’ IC performance.

The current study contributes to IC research by exploring a large sample of firms across countries in Western Europe using econometric modeling. Considering that the effect of IC on firms’ FP needs time to be realized, thus to be measured, the effect of lagged explanatory variables on performance was tested, using dynamic panel estimators, specifically the GMM system (1998) dynamic estimator.

This paper seeks to analyze the family firm's capital structure decisions, focusing on the speed of adjustment (SOA) as well as on the effect of distance from the target capital structure on the SOA towards target short-term and long-term debt ratios in unlisted small and medium-sized family firms.

Methodologically, we use dynamic panel data estimators to estimate the effects of distance on the speeds of adjustment towards those targets. Data for the period 2006–2014 were collected for two research sub-samples: one sub-sample with 398 family firms; the other sub-sample contains 217 non-family firms.

The results show that the deviation from the target debt ratios impacts negatively on the speeds of adjustment towards target short-term and long-term debt ratios in unlisted family firms. These results suggest that family firms, deviating from target debt ratios, face deviation costs, i.e. insolvency costs, inferior to the adjustment costs, i.e. transaction costs. Therefore, family firms stay away from the target debt ratios for a long time than do non-family firms.

The research sample comprises a low number of family firms, therefore for future research we suggest increasing the size of the sample of family firms to get a deeper understanding of family firms' SOA towards capital structure. Additionally, we suggest the analysis of other potential determinants of the speed of adjustment towards target capital structure.

The results obtained suggest that the distance from the target short-term and long-term debt ratios can be avoided if these firms do not depend almost exclusively on internal finance to adjust towards target capital structure. Moreover, for policymakers, we suggest the creation/promotion of alternative external finance sources, allowing reduced transaction costs that contribute to a faster adjustment of small family firms towards target capital structure.

The most previous research focusing on capital structure decisions have focused on listed family firms. To fill this gap, this study examines the speed of adjustment towards target debt ratios in the context of unlisted family firms. Moreover, transaction costs are a function of debt maturity, therefore this study examines separately the speeds of adjustment towards target short-term and long-term debt ratios. This paper shows that the adjustment costs (i.e. transaction costs) could hold back family firms from rebalancing its capital structure.

This work draws on important issues that are related to all socio‐economic agents. We refer to Sustainability, Corporate Social Responsibility (CSR) and Socially Responsible Investments (SRIs), arguing on the clear benefits they provide to companies and financial institutions. The main empirical objective of this work is to show a theoretical framework for the existence and supply of non‐financial information on financial products by financial institutions in the Portuguese Investment Market (comprising of Banks and Fund and Investment Companies – FIMCs).

Overall, 55 Banks and 41 FIMCs, were analysed, totalling 96 observations for analysis. The paper studies the supply of non‐financial information (i.e. social and environmental information) regarding the financial products in the Portuguese investment market (comprising of Banks and Fund and Investment Management Companies). Through surveys’ analysis, which were sent to 96 of these financial institutions, we conclude that the supply of these informations’ sets is practically inexistent.

Overall, the conclusions point to the fact that financial institutions surveyed are very much behind in this new framework and related tools, when considering similar financial institutions outside Portugal. There are some institutions that do provide, but when compared to other European and non‐European countries, the discrepancy is huge. It is concluded that much needs to be done in this field, starting with a clear definition of the benefits and costs of providing non‐financial information.

At the academic level, the authors have not found any good study neither on CSR nor on SRIs done by Portuguese researchers nor on its Market. A priori the authors felt that the Portuguese Banks and The Fund and Investment Management Companies were not committed to Sustainability issues, because they believe that for these business agents, Sustainable Development still means, Environmentalism. Through this study the authors seek to provide an image of how the Investment Market is to regards to Sustainable issues, in Portugal, and thus help financial institutions and economic agents (e.g. bank managers, portfolio managers, among others) to know more about these issues that are important to any company.

The purpose of this paper is to analyze the importance of information asymmetry in the relationships between Portuguese SME's capital structure decisions and creditors, comparing the results of service SME with those found in manufacturing SMEs.

Two samples of Portuguese SMEs are considered: one sample is composed by 610 unlisted service SMEs; and, the other sample is made up by 381 unlisted SMEs in manufacturing industry, for the period 1999‐2006. To estimate the results, the two‐step estimation method is used, to control possible bias arising from data selection. In the first step, probit regression is used. In the second step, after the control for possible data bias, dynamic panel estimators are used.

The results obtained suggest that information asymmetry in the relationships between SMEs and creditors has a greater relative influence on capital structure decisions of service SMEs than on those of manufacturing SMEs.

Given the increasing importance of service SMEs in the Portuguese economy for stimulating employment, business volume, and consequently economic growth, it would be advisable for policy makers to create special long‐term lines of credit, with advantageous terms, so that Portuguese service SMEs, when internal finance is insufficient, can finance more efficiently the growth opportunities and the strategies for diversification. In addition, since SMEs' capital structure decisions present differences, both concerning the sector of industry and over time, the measures adopted by policy makers should differentiate their measures between industry sectors and over time.

First, this paper is pioneering in comparing the adjustment of actual short‐ and long‐term debts, in service and manufacturing SMEs, towards the respective target ratios. Second, it is pioneering in using dynamic estimators and in using the two‐step estimation method, in studies of determinants of capital structure decisions of service and manufacturing SMEs.

This study aims to evaluate the impact of listed Portuguese companies' specific determinants on adjustment of actual debt towards target debt ratio. The specific determinants on adjustment of actual debt towards target debt ratio that we consider are: asset tangibility, size, profitability and market to book ratio.

Dynamic panel estimators are used to determine adjustment of the actual level of debt towards optimal level of debt, revealing the level of transaction costs borne by companies. OLS regressions are also used, in order to estimate the impacts of companies' specific determinants on debt adjustment.

The results suggest that transaction costs are relevant in listed Portuguese companies' access to debt. Tangibility of assets and size are determinants that contribute for a greater adjustment of debt towards optimal level. The results also suggest that the capital structure decisions of listed Portuguese companies can be explained in the light of trade‐off and pecking order theories, and not according to what is forecast by market timing theory.

Through this study, the level of adjustment of actual debt towards target debt ratio in the context of companies belonging to under‐developed capital markets are determined, in the particular case of this study, belonging to the Portuguese capital market. Furthermore, from target debt ratio depending on companies' specific determinants, the explanatory power of trade‐off, pecking order and market timing theories are investigated. The results contribute for a deeper understanding about companies' capital structure decisions.

The purpose of this paper is to determine if the relationship between growth and research and development (R&D) intensity is of a different nature in the context of low‐ and high‐tech Portuguese service small to medium‐sized enterprises (SMEs).

The System Analysis of Iberian Balance Sheets database is used. Based on the European Union's recommendation, L124/36 (2003/261/CE), the authors select 764 low‐tech and 139 high‐tech Portuguese service SMEs for the period 1999‐2006. As method of analysis, panel data are used.

A negative relationship between growth and R&D intensity for low‐tech Portuguese service SMEs is identified, whatever the level of R&D intensity. For high‐tech Portuguese service SMEs, a quadratic U‐shaped relationship between growth and R&D intensity is identified. Moreover, the authors find that relationships between growth and determinants are of a special nature in the context of high‐tech Portuguese service SMEs with high levels of R&D intensity.

It is recommended that as far as possible the managers/owners of low‐tech Portuguese service SMEs, and especially high‐tech ones with non‐high levels of R&D intensity, hire qualified human resources and make more continuous investment in R&D. The authors advise managers/owners of high‐tech Portuguese service SMEs with high levels of R&D intensity to establish stable relationships with creditors. Policy‐makers should increase financial support directed, above all, to innovative Portuguese service SMEs.

The paper is pioneering in presenting different relationships between growth and R&D intensity in the context of low‐ and high‐tech service SMEs.