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This study aims to investigate the linkage of employee treatment and trade credit for a sample of 45 countries from 2003 to 2018. It explores the trade credit from a receivable perspective.

The estimations are performed using panel regression with fixed effects for both country and year. A batter of robustness tests is also performed to validate the findings.

The results reveal a positive and highly significant relation between employee treatment and trade credit. The authors observe that firms from labor-intensive and highly competitive industries are likelier to extend trade credit to their customers. The authors also find that firms from developed countries are more likely to extend trade credit to their customers.

First, to boost trade credit, the firms need to materialize fair employee treatment. Second, firms from labor-intensive firms and highly competitive industries need to care more about employee treatment which promotes trade credit.

The findings offer novel evidence of the relationship between employee treatment and trade receivables.

In this article, the research objective is to empirically investigate the effect of the adoption of the Brazilian instant payment system, Pix, on the local credit market structure and the diversification of the banking system in Brazilian municipalities.

By analyzing the data, in this study, we compile and align data from supervisory and public sources, covering the period from 2019 to 2022 in Brazil. As of 2014, Brazil was comprised of 5568 municipalities distributed across five regions: North (450 municipalities), Northeast (1792), Midwest (467), Southeast (1668) and South (1191), according to the Brazilian Institute of Geography and Statistics (IBGE). Our analysis relies on the volume and quantity of Pix to the outstanding credit operations in Brazil.

This article provides evidence that the widespread adoption of Pix has impacted the financial structure of municipalities. This analysis of banking concentration in the country and municipalities, based on banking relationships, helped us assess whether the adoption of Pix had any correlation with the increase in credit lines. Overall, the results from the statistical tables suggest that the adoption of Pix may be having a positive impact on the local credit market structure.

The originality contribution of the study is to initiate an investigation into the impact of this instant payment system, Pix, on the Brazilian reality. Pix was launched in 2020, amid the COVID-19 pandemic, and had significant numbers, such as over 61% of the adult population having at least one Pix key registered in a little over a year; about 100 million people made at least one payment with Pix; and more than 1.4 billion transactions per month, with 72% between individuals, as presented by the REB 2021.

The purpose of this paper is to examine the impact of compulsory presence of female members due to gender quota on corporate boards on firms’ credit ratings.

We investigate the impact of female directorial appointment on a firm’s credit rating using firm-level panel data in a regression framework with industry- and year-fixed effects to account for unobserved heterogeneity. Further, to address endogeneity, we employ the difference-in-differences (DiD) technique by exploiting the changes in the corporate board composition induced by the exogeneous gender quota regulation. We also employ the Oster (2019) approach to test for omitted variable bias.

In this paper, we find that the firms that appoint female members on corporate boards post-gender quota mandate (treatment firms) enjoy improved credit ratings as compared to firms that had female members on corporate boards before the gender quota mandate (control group firms) became effective. The findings are robust to alternate definitions of credit rating, treatment and post variables.

We employ an alternative econometric technique, such as Oster’s (2019) specification, to show that the involvement of female directors on corporate boards helps firms in improving firm’s credit ratings. We also identify corporate risk measured using stock return volatility and cash flow volatility as the potential channels through which female directors’ involvement on corporate boards leads to the improvement in firms’ credit ratings.

How do informal lending institutions affect entrepreneurship? This paper aims to investigates the role of formal and informal credit market institutions in the decision to become an entrepreneur over the life cycle.

The author developed a dynamic Roy model in which a decision to become an entrepreneur depends on the access to formal and informal credit markets, nonpecuniary benefits of entrepreneurship, career-specific entry costs, prior work experience, education, unobserved abilities and other labor market opportunities (salaried employment and nonemployment). Using detailed Russian panel microdata (the Russia longitudinal monitoring survey) and estimating a structural model of labor market decisions and borrowing options, the author assesses the impact of the development of informal and formal credit institutions.

The expansion of traditional (formal) credit market institutions positively impacts all workers’ categories, reduces the share of entrepreneurs who borrow from informal sources and incentivizes low-type entrepreneurs to switch to salaried employment. The development of the informal credit market reduces the percentage of high-type entrepreneurs who borrow from formal sources. In the case of default, a higher value of the social network or higher costs of losing social ties demotivate low-type entrepreneurs to borrow from informal sources. The author highlights the practical implications of estimates by evaluating policies designed to promote entrepreneurship, such as subsidies and accessibility regulations in credit market institutions.

This study contributes to the literature in several ways. Unlike other studies that focus on individual characteristics in the selection for self-employment [Humphries (2017), Hincapíe (2020), Gendron-Carrier (2021), Dillon and Stanton (2017)], the paper models labor and borrowing decisions jointly. Previous studies discuss transitions between salaried employment and self-employment, taking into account entrepreneurial earnings, wealth, education and age, but do not consider the availability of financial institutions as a driving factor for the selection into self-employment. To the best of the author’s knowledge, this paper shows for the first time that the transition from salaried employment to self-employment is standard and consistent with changes in access to financial institutions. Another feature of this study is incorporating both types of credit markets – formal and informal. The survey by the European Central Bank on the Access to Finance of Enterprises (2018) shows 18% of small and medium enterprise in EU pointed funds from family or friends. Therefore, the exclusion from consideration of informal credit markets may distort the understanding of the role of the accessibility of credit markets.

This study aims to examine the simultaneous effect of variations in the Capital Adequacy Ratio and Credit Risk of Islamic banks of the Gulf Cooperation Council under the influence of the Basel III regulations using an innovative approach.

This approach highlights the critical importance of the Basel III reform in preserving the stability of the regional and international financial sector in the Gulf Cooperation Council and globally by examining the complex dynamics between Capital Adequacy Ratio and Credit Risk and their interaction under regulatory constraints. The annual reports and financial performance of 26 Islamic banks were analyzed over the period 2013–2021.

The findings highlight the critical importance of the Basel III reform in preserving the stability of the regional and international financial sector in the Gulf Cooperation Council and globally by examining the complex dynamics between Capital Adequacy Ratio and Credit Risk and their interaction under regulatory constraints. The annual reports and financial performance of 26 Islamic banks were analyzed over the period 2013–2021.

The insights from findings help define effective strategies to manage and mitigate Credit Risk while strengthening solvency under Basel III prudential supervision. Policymakers, regulatory authorities and banking institutions can optimize the management of Credit Risk and create a robust and stable financial environment for Islamic banks.

The present study examines the determinants of households’ access to agricultural credit through institutional and non-institutional sources. The study evaluates the role of gender of the borrowers in accessing credit in rural India. Further, the paper also studies the impact of institutional variables in determining rural households’ access to credit.

The study used a multinomial logit model to identify the different factors that determine a farmer’s access to different credit sources.

The study reveals that substantial proportions of rural households do not access credit through any of the sources and the situation is very grim for the female-headed households (FHHs). The study highlights the importance of demographic, farm and institutional variables in determining households’ access to credit. Institutional variables significantly enhance rural credit access but favor male-headed households (MHHs). It highlights the need for policy intervention to target the specific needs of female borrowers. Further, the study also highlights the importance of adequate credit policy measures to address farmers’ vulnerability to natural disasters, mainly droughts.

The results of the study are based on recent unit-level data from the 77th Round of the National Sample Survey Organization (NSSO) survey. The survey covers a large number of farm households and reports information for the year 2018–2019.

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-08-2022-0552

Who applies for credit, who is credit constrained and who receives credit refusal in France? To address these questions and explore the determinants of certain household credit aspects in France, we exploit a unique dataset from the Household Finance and Consumption Survey (HFCS) led by European Central Bank (ECB).

The anonymized dataset we utilize is based on the third survey wave (2017) and includes 13,555 French households. More specifically, considering a large number of household variables, associated with dimensions such as demographics, employment, income, wealth, assets and expenditures, we estimate three logit regression models, attempting to capture the factors that determine the underlying behavior of households.

We find that variables such as age, education, housing status, employment situation, wealth and evolution of expenses, play a key role and enter with high statistical significance in the estimated models. Our results are consistent with the existing body of literature, also offering further implications about the research questions we pose. Finally, we provide an elaborate discussion which meticulously clarifies the qualitative dimension of our findings.

To the best of our knowledge, no studies appear in the international literature, focusing on household credit in France, utilizing original data from the ECB.

This study aims to utilize the theory of planned behavior, integrating materialism, financial socialization, and perceived financial capability, to explore the psychological determinants influencing credit card repayment behaviors.

The data for this research was sourced from the 2016 National Financial Well-Being Survey. Employing Structural Equation Modeling, this study investigated whether materialism, financial socialization, and perceived financial capability influenced credit card repayment behaviors through their impact on financial intention.

The analysis suggests significant associations between materialism, financial socialization, and perceived financial capability with credit card repayment behaviors. Furthermore, the results highlight the substantial mediating role of financial intention in shaping the relationship between materialism, financial socialization, perceived financial capability, and credit card repayment behaviors.

Employing Structural Equation Modeling, the study investigated whether materialism, financial socialization, and perceived financial capability indirectly influenced credit card repayment behaviors through their impact on financial intention.

The findings of this study underscore the importance of considering credit card utilization and leverage used by average consumers. Supporting community-based financial education programs might be useful for reaching individuals and families at the grassroots level and educating participants about the deleterious effects of maintaining high credit card balances and the perils of pursuing their materialistic desires by leveraging these purchases through the utilization of credit cards. Credit card companies can use these findings to inform their marketing strategies and design credit products that cater to the needs of different segments of customers. From a policy standpoint, it is extremely important to develop programs that protect those individuals who are most vulnerable and need the most help with managing their money.

Policy makers can also use these findings to develop regulations and consumer protection measures to promote responsible credit card use. For instance, they can introduce laws that require credit card companies to disclose the full cost of credit, including interest rates, fees, and charges, in a clear and transparent manner. They can also promote financial education programs to help individuals with high levels of materialism manage their credit card usage and debt.

The paper integrates two well-established theoretical frameworks, the theory of planned behavior and materialism, to provide a comprehensive understanding of consumer credit card usage. This integration allows for a more nuanced analysis of the factors influencing credit card behavior. By utilizing data from the 2016 National Financial Well-Being Survey and employing Structural Equation Modeling (SEM), the paper conducts a robust empirical investigation. This adds credibility to the findings and allows for the testing of hypotheses derived from the theoretical frameworks. The findings of the paper have practical implications for policymakers, financial institutions, and consumer advocates.

This paper examines why farmers self-select out of formal credit markets even though they need external funds.

We use probit and Bayesian probit estimators to detect the determinants of self-selection behavior based on a primary dataset of 2,212 rice farmers in Vietnam. After that, we use the multinomial probit (MNP) and Bayesian MNP estimators to reveal the impact of relevant factors on the decision to self-select for farmers belonging to each self-selection category.

The probit and Bayesian probit estimators show that the decision to self-select depends on household head age, income per capita, farm size, whether or not to have relatives or friends working for banks, the number of previous borrowings, risks related to natural disasters, diseases, and rice price, and the number of banks with which the farmer has relationships. The MNP and Bayesian MNP estimators give further insights into the decision of farmers to self-select in that determinants of the self-selection behavior depend on the reasons to self-select. In concrete, farm size and the number of previous borrowings mitigate the self-selection of farmers who did not apply for loans due to having access to other preferred sources of credit. The self-selection of farmers not applying for loans because of unfavorable loan terms is conditional on household head age, farming experience, income, farm size, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with. Several factors, including education, income, the distance to the nearest bank, whether or not having relatives or friends working for banks, the number of previous borrowings, risks, and the number of banks the farmer has relationships with, affect the self-selection of farmers not applying for loans because of high borrowing costs. The self-selection of farmers not applying for loans because of complex application procedures depends on income and the number of previous borrowings. Finally, the household head’s age, gender, experience, income, farm size, the amount of trade credit granted, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with are the determinants of the self-selection of farmers not applying for loans because of a fear not being able to repay.

This paper fills the knowledge gap by investigating why farmers self-select out of formal credit markets. It provides evidence of how the farmers’ subjective perceptions of rural credit markets contribute to their self-selection.

This paper shows that demand-side constraints are also vital for farmers’ access to bank credit. Improving credit access via easing supply-side constraints may not increase credit uptake without addressing demand-side factors. Given that finding, it recommends policies to improve access to bank credit for farmers regarding the demand side.

Although women-owned small and medium enterprises (SMEs) represent only 21.1% of all SMEs in South Africa, they play a fundamental role in the SME sector in terms of job creation, employment and poverty alleviation that is critical for economic growth. This study aims to explore (FFIs) financing of women-owned SMEs in South Africa from a credit provider perspective (supply-side).

A qualitative research approach positioned in the interpretivistic research paradigm was used to accomplish this study objectives. The five-step process of content analysis proposed by Terre Blanche, Durrheim and Kelly was used to analyse the qualitative data collected from the 16 participants via semi-structured in-depth interviews.

The findings reveal that FFIs are willing to finance women-owned businesses provided they can contribute a reasonable percentage of the equity capital and a first-class collateral. Lack of equity, business experiences and first-class collateral are the most serious challenges faced by FFIs when considering lending to women-owned SMEs.

This study investigated the financing of women-owned SMEs in South Africa from a supply-side perspective, compared to other studies that used quantitative methodology. This study findings provide insights into how FFIs perceive financing women-owned SMEs, women-owned SMEs credit approval rate, the factors that influence the willingness of FFIs to provide credit to women-owned SMEs and the challenges experienced by FFIs in financing women-owned SMEs.