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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 study is to examine the determinants of capital structure decisions of small and medium enterprises (SMEs) in Ghana. The issue is very relevant considering that SMEs have been noted as important contributors to the growth of the Ghanaian economy.

Regression model is used to estimate the relationship between the firm level characteristics and capital structure measured by long‐term debt and short‐term debt ratios.

The results of the study suggest that variables such as firm's age, size, asset structure, profitability, and growth affect the capital structure of Ghanaian SMEs. Short‐term debt is found to represent an important financing source for SMEs in Ghana.

The findings of this study have important implications for policy makers and entrepreneurs of SMEs in Ghana.

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.

Despite balanced budget requirements, each year most states carry short term debt (STD) across fiscal years. Logit analysis results suggest structural fiscal stress causes states to carry STD across fiscal years. This strategy may not be rational, because STD is a tool for smoothing short-term shortfalls, and not for correcting structural fiscal stress. Cross sectional time series analysis results suggest both structural and cyclical factors influence the amount of year end STD. Findings suggest STD amounts fluctuate as a rational temporary replacement for long-term debt, growing when long term rates rise and decreasing when they fall.

This study seeks to examine the effect of industry classification on the capital structure of SMEs in Ghana.

The analytical technique employed is regression framework with various capital structure measures as dependent variables, and with industry as the independent variable. Analysis of variance (ANOVA) and other non‐parametric tests were also used to examine the differences in the capital structure of the SMEs across industries.

The results of this study indicate that SMEs in the agricultural sector exhibit the highest capital structure and asset structure or collateral value, while the wholesale and retail trade industry have the lowest debt ratio and asset structure. The regression results indicate that agriculture and pharmaceutical and medical industries depend more on long‐term and short‐term debt than does the manufacturing sector. Information and communication, and wholesale and retail trade sectors are more likely to use short‐term credit than the manufacturing sector. The results also show that the construction and mining industry is less likely to depend on short‐term debt, while hotel and hospitality depend more on long‐term debt and less on short‐term finance. The results clearly indicate that industry effect is important in explaining the capital structure of SMEs and that there are variations in capital structure across the various industries.

The main value of this paper is the analysis of the effect of industry classification on SMEs' capital structure from the Ghanaian perspective. The study provides insights on the financing behaviour of SMEs across various industries in Ghana.

The authors examine the debt maturity structure of Chinese listed companies during the period when bond market was under-developed and the majority of commercial banks were owned by the state. The purpose of this paper is to answer why and how the different ownership control types impact the firms’ preference and accessibility to either long- or short-term debts.

The univariate analysis was used to test the differences of debt maturity choices for firms grouped by ownership control types, profitability and institutional development. Then, logit regression and ordinary least squares regression were applied to examine the determinants of ownership control types in debt maturity structures.

Compared to privately controlled firms, state-owned enterprises had greater access to long-term debt and used less short-term debt during the sample period. Evidences also indicate that the on-going financial reform has increased the motivation of banks to consider company profitability in their lending decisions. However, state-owned banks still discriminate private firms in allocation of financial resources, particular in less-developed regions.

Due to the research scope and data limitations, the authors cannot take some factors into consideration, such as collateral, guarantee, credit ranking, financing agreement and leasing obligation.

This study extends the existing literature in three ways. First, the authors investigate the bank discrimination problem into the loan term structure. Second, the authors recognise the effect of financial reform on alleviation in bank discrimination problem. Finally, the authors take the consideration of institutional development of firms’ location areas in their analyses.

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.

The aim of this paper is to investigate differences in capital structures across industries in Egypt paying particular attention to: corporate characteristics, such as liquidity, asset structure, growth, and size; fiscal characteristics, namely, the application of differential corporate tax rates; and stock market activity.

Comparisons are made between the four main industrial sectors: food, heavy industries, contracting and services. For each industry four aspects of capital structure are assessed. Firms are also classified according to whether their shares are actively traded on the Egyptian stock market. Multiple regressions are run to test a range of hypotheses. ANOVA and multiple comparison procedures are also employed.

Across Egyptian firms, higher business risks do not generally result in lower levels of long‐term capital structure. The contracting sector is significantly different from food, heavy industries and services in its determinants of its short‐term financing and interest ratios. The sector also has a higher level of debt, and so a hypothesised tax‐induced higher debt level for the services sector, which has the highest corporate tax rate, is rejected. Asset‐backing is particularly important in heavy industries, and in non‐actively traded firms. Size and growth are positively related to short‐term financing in heavy industries and services.

The value lies in the comprehensiveness of the study, covering both short‐ and long‐term capital structures across industries, both income measures and capital indebtedness, and distinctions according to whether the shares are actively traded or not.

The purpose of this paper is to examine firms' strategies to change long‐ and short‐term debt financing in Egypt. It aims to examine a list of capital structure determinants that include the basic assumptions of the three well‐known theories of capital structure: tradeoff, pecking order, and free cash.

The paper utilizes the properties of partial adjustment model for three heterogeneous systematic risk classes: high, medium and low. The sensitivity analysis is carried out using the “extreme bound analysis”.

The results indicate that Egyptian firms adjust short‐ and long‐term debt according to the class of systematic risk; long‐term debt is a source of financing at all classes of systematic risk; firms have obvious tendency to extent short‐ to long‐term one; medium risk firms adjust long‐term debt according to the industry average debt, and depend heavily on long‐term debt financing; firms depend significantly and constantly on the liquidity position to adjust short‐term debt levels; and medium risk firms are relatively affected by the basic assumptions of free cash flow and low‐risk firms are relatively affected by the assumptions of the pecking order theory.

In general, the results provide evidence that the three theories have transitory effect from developed markets to transitional markets. In addition, the firm‐specific variables (industry characteristic, size and time) provide an additional support to the robustness of the results.

Few, if any studies, have been carried out in Egyptian data.

The purpose of this paper is to investigate the dynamics involved in the determination of capital structure of banks in Ghana.

The study employs panel regression model in examining the capital structure of banks in Ghana.

The results of this study show that profitability, corporate tax, growth, asset structure and bank size influence banks' financing or capital structure decision. The significant finding of this study is that, more than 87 per cent of the banks' assets are financed by debts and out of this, short‐term debts appear to constitute more than three quarters of the capital of the banks. This highlights the importance of short‐term debts over long‐term debts in Ghanaian banks' financing.

The main value of this paper is identification of factors that determine capital structure of banks in Ghana.