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This paper takes Chinese A-share listed companies from 2007 to 2021 as research samples to investigate the influence of supplier concentration on debt maturity structure and its mechanism. It further analyzes whether the relationship between the two is different in the case of different monetary policies, collateral assets, and total debt. The research conclusion is of practical significance for enterprises to construct a balanced debt maturity structure and prevent financial risks.

This paper adopts the empirical research method. The data came from the CSMAR database, which eliminated ST and *ST and companies with missing data, resulting in a sample of 20,328. Stata16 was used for statistical analysis.

There is an inverted U-shaped relationship between supplier concentration and debt maturity structure, and market position and trade credit play an intermediary role. In the case of tight monetary policy, fewer collateral assets, and higher total debt, the inverse U-shaped relationship is more significant.

This paper examines the relationship between supplier concentration and debt maturity structure from a non-linear perspective for the first time, providing theoretical support for enterprises to form a reasonable debt structure, and deepening the theoretical cognition of the relationship between supplier concentration and corporate debt maturity structure.

The purpose of this paper is to establish a maturity evaluation model for the application of construction steel structure welding robotics suitable for the actual situation and specific characteristics of engineering projects in China and then to assess the maturity level of the technology in the application of domestic engineering projects more scientifically.

The research follows a qualitative and quantitative analysis method. In the first stage, the structure of the maturity model is constructed and the evaluation index system is designed by using the ideas of the capability maturity model and WSR methodology for reference. In the second stage, the design of the evaluation process and the selection of evaluation methods (analytic hierarchy process method, multi-level gray comprehensive evaluation method). In the third stage, the data are collected and organized (preparation of questionnaires, distribution of questionnaires, questionnaire collection). In the fourth stage, the established maturity evaluation model is used to analyze the data.

The evaluation model established by using multi-level gray theory can effectively transform various complex indicators into an intuitive maturity level or score status. The conclusion shows that the application maturity of building steel structure welding robot technology in this project is at the development level as a whole. The maturity levels of “WuLi – ShiLi – RenLi” are respectively: development level, development level, between starting level and development level. Comparison of maturity evaluation values of five important factors (from high to low): environmental factors, technical factors, management factors, benefit factors, personnel and group factors.

In this paper, based on the existing research related to construction steel structure welding robot technology, a quantitative and holistic evaluation of the application of construction steel structure welding robot technology in domestic engineering projects is conducted for the first time from a project perspective by designing a maturity evaluation index system and establishing a maturity evaluation model. This research will help the project team to evaluate the application level (maturity) of the welding robot in the actual project, identify the shortcomings and defects of the application of this technology, then improve the weak links pertinently, and finally realize the gradual improvement of the overall application level of welding robot technology for building steel structure.

The purpose of this paper is to empirically analyze the effects of managerial overconfidence on debt maturity structure decisions in terms of liquidity risk and asset match in Chinese listed companies.

Combining data from CSMAR with some default data collected by hand, this paper selects age, tenure, education, education background and whether the board chair and CEO positions are consolidated in Chinese listed companies as proxies of managerial overconfidence. Thus, the authors acquired needed and credible empirical data.

It was found that, the younger the CEO, the shorter the tenure, the lower the education, having economics or management education and being chairman concurrently, CEOs have stronger managerial overconfidence. Thus, corporate debt maturity structure is more weakly correlated with debt ratio and asset structure.

The findings in this study suggest that managerial irrationality, especially overconfidence, does have an effect on the financing decisions of firms.

This is the first paper to analyze the effects of managerial overconfidence on debt maturity structure decisions in terms of liquidity risk and asset match. The findings inspire firm risk management policies from managerial overconfidence.

We examine the maturity structure in private placements of debt and relate it to contracting, signaling, tax, and liquidity risk considerations for firms. We find that firms with higher tax rates issue private placements of debt with longer maturities, consistent with the tax hypothesis. However, our results do not support the contracting, signaling, and liquidity risk hypotheses. In addition, the results are confined to the smaller firms in the sample, firms without a public debt rating, and debt issues not pursuant to Rule 144A. The evidence is consistent with smaller firms issuing private placements of debt to avoid monopoly rent extraction from banks.

The purpose of this paper is to investigate the influence of cash flow volatility on firm’s leverage levels. It also analyzes how cash flow volatility influences the debt maturity structure for the Chinese listed firms.

The authors construct the measure for cash flow variability as five-year rolling standard deviation of the cash flow from operations. The authors use generalized linear model approach to determine the effect of volatility on leverage. In addition, the authors design a categorical debt maturity variable and assign categories depending upon firm’s usage of debt at various maturity levels. The authors apply Ordered Probit regression to analyze how volatility affects firm’s debt maturity structure. The authors lag volatility and other independent variables in the estimation models so as to eliminate any possible endogeneity problems. Finally, the authors execute various techniques for verifying the robustness of the main findings.

The authors provide evidence that higher volatility of cash flows results in lower leverage levels, while the sub-sampling analysis reveals that there is no such inverse association in the case of Chinese state-owned enterprises. The authors also provide novel findings that irrespective of the ownership structure, firms facing high volatility choose debt of relatively shorter maturities and vice versa. Overall, a rise of one standard deviation in volatility causes 8.89 percent reduction in long-term market leverage ratio and 26.62 percent reduction in the likelihood of issuing debentures or long-term notes.

This study advocates that cash flow volatility is an essential factor for determining both the debt levels and firm’s term-to-maturity structure. The findings of this study can be helpful for the financial managers in maintaining optimal leverage and debt maturity structure, for lenders in reducing their risk of non-performing loans and for investors in their decision-making process.

Existing empirical literature regarding the influence of variability of cash flows on leverage and debt maturity structure is inconclusive. Moreover, prior research studies mainly focus only on the developed countries. No previous comprehensive study exists so far for Chinese firms in this regard. This paper endeavors to fulfill this research gap by furnishing novel findings in the context of atypical and distinctive institutional setup of Chinese firms.

Corporate boards monitor managerial decisions as concluded by the monitoring hypothesis. In this scenario, the present study stresses that leverage decisions can be used as a tool to control insolvency risk.

This study aims at investigating the intervention of capital structure and debt maturity on the relationship between corporate board composition and insolvency risk by employing Preacher and Hayes’s (2008) approach. The study sample comprises 284 firms from 2013 to 2017. Structural equation modeling is used to study the direct and indirect relationships among study variables.

Results show that debt maturity is a significant mediator between CEO duality and insolvency risk and between board size and insolvency risk relationships. However, the capital structure did not mediate any of the proposed links.

This study suggests using more long-term debt to tackle insolvency risk in listed non-financial firms of Pakistan. It is also inferred that decisions regarding debt maturity are more crucial than capital structure decisions because insolvency risk is concerned.

This study evaluates the comparative mediating role of the debt maturity and the capital structure. Such role is uncommon in the literature addressing the relationship between governance variables and insolvency risk.

The purpose of this paper is to develop a better understanding of the debt structuring of project finance (PF) loans and the main drivers affecting the maturity of bank loans in infrastructure deals. When banks grant loans to a project, they have two decision variables: the interest margin or the spread and the maturity of the loan. Although several studies analyze the drivers of the spread, few studies in the literature look at the maturity of bank loans. As infrastructure projects are typically highly leveraged, the structuring of bank lending is an important parameter in the financial viability of the project.

The paper develops a regression analysis of the loan’s maturity on four categories: characteristics of the project, political risk of the country where the project is executed, the macro-economic setting and the regulatory framework. By using a new data set of InfraDeals containing data on bank loans of more than 1,800 infrastructure projects worldwide from 1997 to 2016, this paper reveals new insights on the debt structuring of banks for PF loans.

The results indicate that the maturity of bank loans granted to infrastructure deals is predominantly driven by political risk and regulation, rather than the structuring of the project. This implicates that the region where the deal is closed weighs more heavily than the specificities of the project itself.

The results have important policy implications. The paper allows to develop a better understanding on how political risk and new regulation, like Basel III, might affect the PF market. The paper is the first one finding empirical evidence of the impact of Basel III regulation on PF lending. By delving deeper into the political risk variable, the authors formulate several recommendations to mitigate political risk.

The purpose of this paper is to test the main theories of corporate debt maturity in a multi‐country framework, in an attempt to understand country‐specific constraints.

Dynamic panel data analysis estimated by the generalized method of moments, techniques that account properly for cross‐section and time series variation allowing for dynamic effects.

There is a substantial dynamic component in the determination of a firm's maturity structure; firms face moderate adjustment costs towards its optimal maturity, and the determinants of maturity structure and their effects are similar between Latin American countries and the USA; and there is a partial empirical support for each of the theoretical hypotheses tested.

Firm ownership, accounting standards, financial market depth, and the degree of supervision on financial reporting may vary across countries, which may affect the quality and consistency of some variables.

Firms face costs in adjusting the maturity of their debt, which gives such decision a long‐term character, and the determinants of debt maturity do not seem very sensitive to a country's business and financial environment.

The paper focuses on a sample of developing countries that have so far been ignored in empirical studies, employs empirical techniques that account properly for cross‐section and time series variation, and the model allows for dynamic effects that have seldom been considered in previous research.

The purpose of this paper is to investigate the relationship between the maturity level of supply chain process management (SCPM) and the company’s organisational life cycle (OLC).

Based on a theoretical review, a questionnaire was developed to measure the maturity level of SCPM and the OLC. Data from 228 companies operating in Brazil were collected to assess the association between variables by using correspondence analysis technique.

Among the key findings, evidences of a relationship between the maturity level of SCPM and the company’s OLC could be highlighted. In addition, it was found that the maturity level of SCPM has no significant relationship with the age or size of a company but it is related to the capabilities inherent to the SCPM.

Measurement of SCPM and the OLC was based on the managers’ perceptions about the actual configuration of their firms. Accordingly, there is a certain level of subjectivity inherent to those models. The study is valid for companies operating in Brazil and might not be applicable for other countries.

This study increases awareness about the influence of organisational issues, such as the decision model, power hierarchy or governance structure, in the development of SCPM maturity. Such issues must be addressed to develop SCPM.

Management and control of organisational issues might help to develop the maturity of SCPM, so the service level of companies, in order to deliver high quality services to society. Still, further research is required in the social area.

The paper tried to analyse the relationship of two well established models where this link was overlooked in the past. It was not found in literature similar investigation.

The purpose of this paper is to examine the impact of debt maturity structure and types of institutional ownership on accounting conservatism by using different financial variables and proxies.

Employing panel data analysis in the R programming language, the authors test their hypotheses on a sample of 143 (858 firm-year observations) companies listed on the Tehran Stock Exchange during 2011–2016.

Using Basu (1997) and Beaver and Ryan (2000) models as proxies for accounting conservatism, the findings suggest a non-significant relationship between accounting conservatism and debt maturity structure. Contrary to the primary expectation, the results indicate that short-maturity debts are also non-significantly and negatively associated with accounting conservatism in financially distressed firms. Finally, using both conservatism measures, the authors document that there is no significant relationship between both active and passive institutional ownership and accounting conservatism as well as debt maturity structure.

The current study is the first study conducted in a developing country like Iran, and the outcomes of the study may be helpful to other developing nations.