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The purpose of this paper is to test the validity of dynamic tradeoff theory and argue that the speed of adjustment toward the target capital structure may vary depending primarily on some inherent firm characteristics.

The objective of this article is to study the impact of the corporate governance arrangements on the capital structure behavior taken by listed French firms. The author measures the corporate governance arrangements in three different ways to capture its influences on the capital structure and analyze how it affects a firm's rebalancing behavior in the presence of relevant control variables. Assuming that costs related to deviations from the target leverage are positively correlated with the duration of the deviation, the author finds that firms with a strong governance system adjust at a faster rate because the longer the deviation lasts, the greater the loss in firm value. In addition, firms with more efficient governance structures face lower adjustment costs.

The author measures corporate governance quality in different ways by using several proxies. The results make a major contribution to the literature and show that the quality of the governance system is an important factor in helping the company achieve fatly its target leverage. The authors produces further support for the initial finding by showing that the two extreme leverage deviation groups are dominated by firms with weak governance. The author also shows that the rebalancing speed is faster for firms with strong governance systems.

The paper proposes that a firm characterized by a strong governance system will display a shorter-duration deviation from the target capital structure and a higher adjustment level than a firm with weak governance. In other words, the author argues that the deviation from the target capital structure and the adjustment level are related to the quality of corporate governance. The results indicate that firms with a stronger governance structure are characterized by shorter-term deviations from the target. The author also finds that firms belonging to the two subsamples where leverage deviation is at extremely high or low levels are characterized by a weak governance system. The results corroborate the hypothesis on the speed of adjustment toward the desired target leverage. Furthermore, the author empirically proves that the adjustment level of firms with stronger governance is higher in both extreme leverage situations. This paper extends the existing literature on capital structure adjustment by introducing the effect of corporate governance.

This paper aims to investigate the non-homogeneity in the speed of adjustment (SoA) of the capital structure of manufacturing companies. It also attempts to study the key determinants that accelerate the speed of adjustment towards the target leverage level.

Using the dynamic panel fraction (DPF) estimator on the partial adjustment model, the study captures the heterogeneous SoA of 2,866 firms across eight prominent sectors of the Indian manufacturing industry from 2009 to 2020. To ensure robustness, the empirical inferences of DPF are cross-verified with the estimates of panel-corrected standard errors (PCSE).

The authors find a combination of the capital structure's slow, moderate and rapid adjustment speed along with the relevance of trade-off theory. Interestingly, the lowest and fastest SoA is recorded by the dwindling textile sector and expanding food and agro sector, respectively. Profitability, firm size, asset tangibility and non-debt tax shields are the key firm-specific parameters that impact the SoA towards the target.

Availing the rarely employed estimator ‘DPF’ and the objective of documenting diverse and non-uniform adjustment speeds across the Indian manufacturing sectors marks a novel addition to capital structure literature.

This study aims to investigate the dynamic aspects in the capital structure decisions of firms in Indonesia, offering an extension to the existing literature on Indonesia via a dynamic model, including the existence of target capital structure, the influencing factors, the speed of adjustments and the supporting theories to explain the findings.

This study uses a dynamic partial adjustment model estimated based on a generalized method of moments.

Indonesian firms do practice target capital structure and are influenced by firm-specific factors like profitability, business risk, firm size, liquidity and share price performance due to time-varying factors. A rapid adjustment toward target leverage is detected, thus supporting the existence of the dynamic trade-off theory (TOT). The pecking order theory (POT) also has significant influence, particularly after the new reformation of financing policy, where retained earnings are also preferred as a source of financing apart from merely external financing through bank loans. There are also traces of market timing influences where firms also seem to time their equity issuance.

Despite relatively utilizing recent data and bigger sample firms compared to the previous limited studies on Indonesia, the results of this study, however, need to be cautiously interpreted. First, the sample chosen focused on listed firms, hence may not be generalized to all Indonesian firms, listed and unlisted. Second, the study does not separate firms by sectors and their leverage positions, that is under-levered and over-levered, so as to note that financial decisions may also be affected by the sector in which the firms operate and their leverage positions. These are to be considered in future research.

There is strong evidence that the corporate financing behavior of Indonesian firms is governed by the POT and TOT. Both are dealing with the function of debt. The financial sector reformation does have a positive impact on the banking sector, but not the local corporate bond market. Therefore, regulators and policymakers should bear in mind that banking as well as private bond market in Indonesia must be tailored in such a way that both could act as intermediaries of debt financing, as bond market represents an important component of a diversified financial sector.

This study fills the gap by providing an extension to the existing literature and a deeper insight of the capital structure of Indonesian firms using a more robust dynamic model.

The purpose of this paper of this study is to examine the possible factors contributing to the issue of inconclusiveness in capital structure studies. This study also attempts to provide logical explanations to the unresolved issue of inconsistencies in the relationship between factors identified and leverage in capital structure studies. Comparisons are also made between the emerging market and the developed market to see whether the findings are consistent with both market landscapes.

This study employs two models in its methodology which are static and dynamic models to examine the effects of using different models in the study. The fixed effect model and partial adjustment model represent the static and dynamic models, respectively. The dynamic model is estimated using generalized method of moments. This study also uses six definitions of leverage to examine the impact of using different leverage definition in capital structure studies. To test the robustness of the findings comparison were made with past studies done by other researchers on developed markets.

This study found that the use of different models (with the same leverage definition) and different leverage definitions (using the same model) give different results including signs. Inconsistencies were more obvious in the different leverage definitions (using the same model) compared to the use of different models (with the same leverage definition). There was also evidence that the findings were consistent with both the emerging and the developed markets as other studies on developed markets also report inconsistent results when using different models and different leverage definitions.

The sample chosen focussed only on firms in three emerging markets (Malaysia, Thailand and Singapore) thus it may not be sufficient for generalization.

The issue of inconclusive results and findings in capital structure studies keeps recurring but no study has been done to further understand the issue. Using data from the selected countries, this paper attempts to fill this gap in the literature.

The purpose of this paper is to examine the role of institutional, macroeconomic, industry, and firm characteristics on the adjustment speed of corporate capital structure within the context of developing countries.

The authors considers a sample of 986 firms drawn from nine developing countries in Africa over a period of ten years (1999-2008). The study develops dynamic partial adjustment models that link capital structure adjustment speed and institutional, macroeconomic, and firm characteristics. The analysis is carried out using system Generalized Method of Moments procedure which is robust to data heterogeneity and endogeneity problems.

The paper finds that firms in developing countries do temporarily deviate from (and partially adjust to) their target capital structures. Our results also indicate that: more profitable firms tend to rapidly adjust their capital structures than less profitable firms; the effects of firm size, growth opportunities, and the gap between observed and target leverage ratios on adjustment speed are functions of how one measures capital structure; and adjustment speed tends to be faster for firms in industries that have relatively higher risk and countries with common law tradition, less developed stock markets, lower income, and weaker creditor rights protection.

Future research should focus on examination of the adjustment speed of debt maturity structure. Identification of industry-specific characteristics that affect the pace with which firms adjust their capital structure to the optimum is another possible avenue for future research.

Our findings have practical implications for corporate managers, governments, legislators, and policymakers.

The study focuses on firms in developing countries for which the literature on adjustment speed of capital structure is virtually non-existent. Furthermore, unlike previous works on capital structure, it explicitly models industry variable as one of the determinants of adjustment speed. Therefore, it contributes to the literature on capital structure and adjustment speed in general and to the literature on developing countries in particular.

This paper aims to conduct bibliometric analysis on the studies dealing with capital structure’s speed of adjustment (SoA) and identify the prominent themes while suggesting future research directions in the area. The existing reviews broadly focus on the capital structure, which provides the scope for conducting a review on this sub-aspect of capital structure.

This study uses a three-stage process to conduct this review: identification of academic journals, selection and analysis of target papers. This study uses a combination of bibliometric tools and a system thinking approach to assess the current status of publications and emerging themes within the literature.

This study has found a progressive evolution of SoA in capital structure research from 1984 to 2021. Studies largely focus on implementing the dynamic models to analyse the impact of adjustment costs, dynamic economic conditions, corporate governance practices and other variables on the firms’ adjustment speed and financial decisions. The network analysis of citations, keywords and clusters gives further knowledge on the intellectual structure of the data.

This study is highly dependent on the papers available within the SCOPUS database. Studies not included herein are not part of this analysis, which may or may not bear an effect on the study’s findings.

To the best of the authors’ knowledge, the application of systems engineering concept of “system thinking approach” to identify literature gap and suggest directions for forthcoming research is the first of its kind, thus adding a novel and multidisciplinary aspect to this study.

The behavioural theory adds a new paradigm of analysis with the assumptions of the decision maker’s cognitive biases and their repercussions on financing decisions. The aim of the study is to analyse the repercussions of these biases on the adjustment speed of firm’s capital structure toward the optimal level.

Based on a partial adjustment model, the study uses the Dynamic Panel Fractional estimator to analyse panel data from 4,990 Portuguese entrepreneurial firms.

The results show that the cognitive overconfidence bias impacts the entrepreneurial firm’s capital structure. In fact, the firms run by overconfident managers adjust more slowly than their counterparts. Furthermore, the findings suggest that entrepreneurial firms make relatively fast adjustments toward the optimal debt level and follow a hierarchical financing order in the funding process.

The results of this paper are not only interesting to the academia, but also contain practical implications for corporate, institutional and business policy and governance. First, the paper introduces a new measure of cognitive bias in optimistic managers, which is useful for current and future academic research. Also, in practical terms, the findings of the paper reveal that when a company is contemplating hiring a manager, it should consider whether they need an optimistic or non-optimistic manager based on the company's present life cycle or situation.

The current analysis extends the existing literature. The study suggests that financial classical and behavioural paradigms should not be separated, which can provide evidence to help narrow the gap between these two major perspectives.

This paper aims to study the leverage adjustment behavior of firms distinguished based on financial flexibility. Financial flexibility is one of the key strengths of the companies to borrow funds for long-term capital investment. The lack of extensive studies in this domain motivates the authors to delve into the significance of financial flexibility in making corporate capital structure decisions.

The data comprise a combination of firm-specific and macroeconomic variables for firms in eight manufacturing sectors from 2009 to 2020. The authors employ an advance estimator, dynamic panel fraction, on the partial adjustment model to investigate the diverse impact on capital structure's speed of adjustment (SoA) between the financially flexible and financially inflexible firms. Furthermore, the authors utilize the generalized method of moments and panel-corrected standard errors to establish the robustness.

The empirical analysis reveals that the SoA of financially flexible firms lies between 19.75% and 35.38% and the SoA of financially inflexible firms lies between 11.66% and 25.81%. Due to their conserved debt capabilities, financially flexible firms can rely on leverage to stay near the target whenever they move away from it. Furthermore, financially inflexible firms exhibit a low adjustment speed due to their incompetence to borrow funds to benefit from new growth opportunities. The existence of a target ratio among the studied firms is identified from the positive coefficient of lagged dependent variable, and the relevance of trade-off theory is proved by the quick adjustment speeds in most sectors.

The sectoral distinction in the backdrop of the financial flexibility component adds to the research novelty and managerial implications.

The purpose of this paper is to use a dynamic model to investigate capital structure determinants for 178 firms listed on the Johannesburg Stock Exchange for the period 1998‐2008. The sample of firms is also used to examine the cost and speed of adjustment towards a target debt ratio.

A target adjustment model is estimated using a generalized method of moments technique to examine the cost and speed of adjustment towards a target debt ratio. The determinants of target capital structure for South African listed firms are also examined.

The results show that South African firms adjust relatively fast towards a target leverage level. It is also found that asset tangibility, growth, size and risk are positively related to leverage, while profitability and tax are negatively related to leverage. The results also suggest that capital structure decisions of South African listed firms follow both the pecking order and trade‐off theories of capital structure.

The sample chosen focused on listed firms, thus the results cannot credibly be generalized to all South African firms (listed and unlisted). Also, whilst a lot can be gleaned from the results, they may not be readily applicable to firms in other African countries.

The issue of dynamic adjustment towards a target or optimal debt ratio has not received sufficient attention in developing economies. Using data from an emerging economy, this paper attempts to fill this gap in the literature. A target adjustment model is estimated using a generalized method of moments technique.

This study aims to examine the impact of sustainable practices as proxied by the environmental, social and governance (ESG) score on capital structure. It also investigates whether ESG performance influences the speed of adjustment (SOA) to target leverage in firms.

The sample covers 116 non-financial firms listed on the main stock exchanges from five Southeast ASEAN countries (Bursa Malaysia, Indonesia Stock Exchange, Philippines Stock Exchange, Singapore Stock Exchange and Stock Exchange of Thailand) over the period 2012–2019. The study adopts the OLS regression and system-GMM estimators to perform the data analysis.

The authors show that the ESG score is positively associated with book leverage, suggesting that firms increase their debt capital through sustainable practices. However, they find that the ESG score is negatively associated with market leverage across our model estimations. The authors also reveal that environmental, social and governance pillar scores produce about 7.82%, 2.88% and 0.47% SOAs, respectively, higher than the SOA of the traditional SOA without the ESG factor. The aggregate ESG score has about 3.41% SOA higher than the baseline SOA without the ESG factor.

This study is of interest to investors, corporate firms and policymakers. The study demonstrates that the ESG score increases the firm’s SOA to target leverage. By disaggregating the ESG score, the authors establish that ESG pillar scores produce higher SOAs than the traditional SOA (without ESG), with the environmental score inducing the fastest SOA. Practically, the study implies that environmentally sustainable activities reduce environmental transaction costs, benefit firms through better information transparency and enhance a trustful climate between the firm and suppliers of capital. Therefore, this study demonstrates that firms do not only incur the cost of disseminating ESG information but also benefit from lower information asymmetry and a higher SOA with better tax-deductible advantages.

The findings have combined advantages for both stakeholders and directors who monitor and manage the firms’ resources to improve the quality of ESG practices and initiatives.

To the best of the authors’ knowledge, this study is among the first to establish that sustainable practices induce higher debt capital. Secondly, unlike prior research focusing on the cost of capital, the authors examine whether ESG performance affects capital structure patterns. Thirdly, it documents the extent to which sustainable practices influence the SOA towards target leverage in firms. The authors contribute to corporate finance literature that firms reach faster to their target leverage in the presence of ESG performance. Theoretically, through the notion of the stakeholder proposition, the study establishes that the firms’ pursuance of stakeholder goals further enhances the prediction of the trade-off theory.