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This research systematically reviewed studies on tax compliance based on five determinants consisting of tax services, trust in government, personal norm, social norm and religiosity.

The research used a vote-counting method to synthesize 279 studies consisting of 160 empirical studies and 119 non-empirical studies conducted from 1946 until 2017.

The research has made a relatively robust conclusion related to the impacts of determinant factors on tax compliance. Tax service and trust in government are the most critical factors to increase tax compliance. Personal norm, social norm and religiosity encourage tax compliance, yet the influence is not as strong as expected.

This research suggests that improving tax service and government trust are more effective and relatively easier to implement than developing the taxpayers' positive behaviors.

Several studies conducted to synthesize the impacts of determinant factors on tax compliance were only limited to the empirical research which provided sufficient statistical data. On the other hand, there were many substantial research types discussing tax compliance without involving statistical numbers. The facts have distorted the complete picture of tax compliance. Recently, no synthesis studies have comprehensively combined and compared the empirical with non-empirical research based on the related theories. Thus, the synthesis studies that discuss tax compliance based on non-deterrence approach are still limited.

The purpose of this paper is to study the status of studies on capital structure determinants in the past 40 years. This paper highlights the major gaps in the literature on determinants of capital structure and also aims to raise specific questions for future research.

The prominence of research is assessed by studying the year of publication and region, level of economic development, firm size, data collection methods, data analysis techniques and theoretical models of capital structure from the selected papers. The review is based on 167 papers published from 1972 to 2013 in various peer-reviewed journals. The relationship of determinants of capital structure is analyzed with the help of meta-analysis.

Major findings show an increase of interest in research on determinants of capital structure of the firms located in emerging markets. However, it is observed that these regions are still under-examined which provides more scope for research both empirical and survey-based studies. Majority of research studies are conducted on large-sized firms by using secondary data and regression-based models for the analysis, whereas studies on small-sized firms are very meager. As majority of the research papers are written only at the organizational level, the impact of leverage on various industries is yet to be examined. The review highlights the major determinants of capital structure and their relationship with leverage. It also reveals the dominance of pecking order theory in explaining capital structure of firms theoretically as well as statistically.

The paper covers a considerable period of time (1972-2013). Among very few review papers on capital structure research, to the best of authors’ knowledge; this is the first review to identify what is missing in the literature on the determinants of capital structure while offering recommendations for future studies. It also synthesize the findings of empirical studies on determinants of capital structure statistically.

The purpose of this paper is to explain the leverage of French wine companies (410 companies) in the wine industry during the period 2000‐2004.

Different classical capital structure theories are reviewed (trade‐off theory (TOT), pecking order theory (POT) and dynamic TOT) in order to formulate testable propositions concerning the determinants of debt levels of the French wine companies. A number of regression models (classical and panel techniques) are developed to test the static theory of trade‐off against the POT.

The results suggest that POT seems to better explain leverage of French wine companies. Significant differences in debt ratio were found between cooperatives and other legal structures. Debt ratios are also different between sub‐sectors (wholesalers, wine growers, wine makers, etc.).

Cost of capital is one of the pillars of competitive advantage (or disadvantage) of companies. With the objective to minimize the cost of capital, it seems very important to know the potential determinants of an optimal capital structure.

This is a first study of capital structure determinants in the French wine industry which contributes to the current debate between competitive capital structure theories.

This paper aims to investigate the determinants of capital structure of non-financial firms in Iran.

This paper reviews different conditional theories of capital structure to formulate testable propositions concerning the determinants of capital structure of Iranian companies. Pooled ordinary least squares and panel econometric techniques such as fixed effects and random effects are used to investigate the most significant factors that affect the capital structure choice of manufacturing firms listed on Tehran Stock Exchange Iran during 2003-2007.

The results of the study suggest that variables such as firm’s size, financial flexibility, asset structure, profitability, liquidity, growth, risk and state ownership affect all measures of capital structure of Iranian corporations. Short-term debt is found to represent an important financing source for corporations in Iran. The results of the present research are consistent with some capital structure theories.

In general, the results provide evidence that the five theories discussed influence emerging markets. Due to the existence of a negative relationship between profitability and capital structure, investors must consider capital structure before making investment decisions.

This study has laid some groundwork to explore the determinants of capital structure of Iranian firms upon which a more detailed evaluation could be based. Furthermore, the empirical findings will help corporate managers in making optimal capital structure decisions.

To the authors’ knowledge, this is the first study that explores the determinants of capital structure of manufacturing firms in Iran by using the most recent data. Moreover, this paper provides a theoretical model to explain the mechanism of how the ownership structure impacts debt financing.

The purpose of this paper is to identify and analyse determinants of Chinese outward foreign direct investment (OFDI) into a number of African countries for the period 2003-2012.

A series of panel data models are used to estimate the determinants of Chinese OFDI into eight African countries: Nigeria, South Africa, Zambia, Ghana, Kenya, Algeria, Egypt and the Sudan.

Results highlighted that Chinese investment in African countries is driven by access to natural resources, and factors related to infrastructure quality and the regulatory environment enforced by host governments.

To the best of the authors’ knowledge, this is one of the first papers to identify empirical determinants of Chinese OFDI in Africa and it contributes from two perspectives. Firstly, it identifies drivers behind Chinese OFDI, but also importantly from the African perspective helps understand the reasons that attract investment from one of the world’s largest investors into one of the world’s poorest regions, given the emphasis that is placed on foreign direct investment today as an instrument of growth and development.

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.

Export performance research has proliferated in the last decade. Significant progress has been made in developing better theory and knowledge of the export performance of firms. However, the field of inquiry is characterized by a diversity of conceptual, methodological, and empirical approaches that inhibit the development of clear conclusions regarding the determinants of export performance. In this article, an updated review and synthesis of the empirical literature on determinants of export performance between 1987 and 1997 is offered. Using a combination of the narrative and vote‐counting approaches, 50 studies were identified, reviewed, and synthesized. Major directions for future research are also discussed.

The objective of the study is to explore the determinants of savings and their relative importance in Saudi Arabia.

The stationarity of the data has been tested using augmented Dickey–Fuller (ADF) tests. Autoregressive distributed lag (ARDL) technique has been applied to establish the long run and short run relationships. Stability of savings function has been tested by applying CUSUM and CUSUMSQ techniques.

Results of ARDL identify the important factors affecting savings behaviour in Saudi Arabia. According to the results, the growth rate of GDP, the interest rate, foreign direct investment (FDI) and budget surplus positively affect savings with the last two having the most influence on domestic savings. The coefficient of the dependency ratio is negative in conformity with the theory. Similarly, the coefficient of the inflation rate is also negative.

There is limited availability of data since only 41 years’ annual data are available.

In the light of the results, it is recommended that in order to increase savings, the government should adopt policies to attract FDI, increase the GDP growth rate and decrease the dependency ratio and inflation.

Government needs to discourage larger family sizes to encourage savings in the light of the result of negative impact of the dependency ratio on savings. In order to decrease the dependency ratio, more family members especially women should be encouraged to participate in the labour market.

There is a scarcity of research for Saudi Arabia on the critical issue of determinants of domestic savings. This is a pioneering study exploring important determinants of savings in Saudi data.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-08-2021-0493.

This study aims to identify the most profitable segment of construction firms amongst real estate, industrial construction and infrastructure. This paper also examines the determinants of profitability of real estate, industrial construction and infrastructure firms.

The data of 67 firms (20 real estate, 21 industrial construction and 26 infrastructure) is collected for a 15-year period (2003–2017). Two models are created using total return on assets (ROA) and return on invested capital (ROIC) as dependent variables.. Leverage, liquidity, age, growth, size and efficiency of the firm are identified as firm-specific independent variables. Two economic variables, i.e. growth in GDP and inflation, are also used as independent variables. Initially, the models are tested for stationarity, multicollinearity and heteroscedasticity, and finally, the coefficients are estimated using Arellano–Bond dynamic panel data estimation to account for heteroscedasticity and endogeneity.

The results suggest that industrial construction is the most profitable segment of construction, followed by real estate and infrastructure. Their profitability is positively driven by liquidity, efficiency and leverage. The real estate firms are somewhat less profitable compared to industrial construction firms, and their profitability is positively driven by liquidity. The infrastructure firms have low ROA and ROIC.

The real estate, infrastructure and industrial construction drastically differ from each other. The challenges involved in real estate, infrastructure and industrial construction are altogether different. Therefore, authors present a comparative analysis of the profitability of real estate, infrastructure and industrial construction segments of the construction and compare their determinants of profitability. The results provided in the study are robust and reliable because of the use of a superior econometric model, i.e. Arellano–Bond dynamic panel data estimation with robust estimates, which accounts for heteroscedasticity and endogeneity in the model.

The purpose of this paper is to analyze the influence of firm-, industry- and country-level determinants on real annual sales growth in the context of a cross-classified multilevel perspective.

The authors studied 11,381 firms from 17 industries in six Latin American countries based on the data collected up to 2015. Since the data are nested in two levels (level 1: firms; level 2: cross-classification of industries and countries), the authors use a cross-classified multilevel model. The significant variability in all levels of analysis confirms the option for the multilevel model.

Differences in industries account for the largest proportion of variance (77.2 percent). This finding indicates that industry-level characteristics should be explored in the sales growth literature (it seems to the authors that they were neglected). This finding also calls attention to the roles of policy-makers in facilitating firm growth. The final model indicates that the considered variables explain approximately 55 percent of the differences in real annual sales growth in the same industry and country after having accounted for the impacts of the differences in firms. After accounting for the impacts of the differences in firms’ and countries’ characteristics, 43 percent of the variation in average real annual sales growth is due to differences in industries. The obtained results indicate that while firms from countries with higher GDP growth and more effective corporate boards present higher real annual sales growth, firms that operate in commodity producer industries have worse performance in this indicator. With respect to firm’s characteristics, larger firms (contradicting Gibrat’s law) and exporters grew less. Some results could be explained by the decrease in commodities’ prices and global purchases between 2012 and 2015.

The paper fills some gaps in the firm growth literature by testing Gibrat’s law in non-developed countries (not yet done, to the best of the authors’ knowledge) and exploring variables other than size in the explanation of firm growth (rarely used, to the best of the authors’ knowledge). Moreover, the adopted model correctly estimated the origin of the variability in firm growth in its natural cross-classified distinct levels.