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This study investigates the determinants of financial inclusion in Nigeria. The study extends the empirical debate on the determinants of financial inclusion by focusing on the monetary policy and banking sector factors that influence the level of financial inclusion in Nigeria. The study employs the two-stage least squares regression method to estimate the determinants of financial inclusion in Nigeria during the 2007–2021 period. The results show that the central bank monetary policy rate, the savings deposit rate and the loan to deposit ratio of banks are significant determinants of financial inclusion in Nigeria. Specifically, an increase in the central bank interest rate decreases the level of financial inclusion, an increase in the savings deposit rate increases the level of financial inclusion and an increase in the loan-to-deposit ratio decreases the level of financial inclusion. These determinants are robust to alternative estimation using the quantile regression method. There is further evidence that the interbank lending rate, inflation rate and the nominal interest rate are also determinants of financial inclusion in Nigeria based on the two-stage least squares estimation.

Efficient decision-making must be reinvigorated to make a good decision towards retirement by construction workers. In developing countries such as Ghana, researchers conducted investigations into the effects of investing in retirement decision-making and planning, but none has considered to examine and identify the factors/determinants influencing efficient decision-making by construction workers towards retirement. This study aims to examine and identify the determinants/factors that affect the retirement decision-making of construction workers in developing countries such as Ghana.

This study used primary data collected from workers of four construction companies in Ghana. The sampling technique adopted for the study was a purposive sample approach, with a survey questionnaire as a collection instrument. Means score was adopted to reveal the major determinant/factor prioritized by the respondents while binary logistic regression was used to examine and identify the effect of the retirement determinants on the retirement decision of construction workers.

The findings established the main significant determinants impacting retirement decision, namely, “financial condition,” “homeownership,” “age” and “family issues.” Among the determinants, “financial condition” was revealed as the major determinant of retirement decision-making in the construction industry of developing countries, which is an economic condition by which the workers can easily secure credit.

Practically, the outcome of this study serves as a base for policymakers and practitioners in making decisions concerning the retirement of workers, especially construction workers. This study also serves to provide lesson for other classifications of workers aside from the construction workers in Ghana and other developing countries.

This study contributes to knowledge by filling in the lacuna in research by examining and identifying the determinants/factors that impact the efficient decision-making by construction workers in developing countries towards retirement.

This study has a dual purpose. The first is constructing a financial inclusion index to investigate if the reforms implemented during the last decades at the macroeconomic and sectoral levels have contributed to increase the financial inclusion level in Morocco. The second is to deepen the investigation to explore the impact of these reforms at the microeconomic level, by focusing on six major issues: determinants of financial inclusion, links between individual characteristics and barriers to financial inclusion, determinants of mobile banking use, motivations for saving, credit objectives and determinants of resorting to informal finance.

First, the principal component analysis methodology is mobilized to construct a financial inclusion index for Morocco. Second, the probit model methodology on a micro-level database of 5,110 Moroccan adults is used.

First, the financial inclusion index shows that financial inclusion in Morocco over the last two decades has followed different trends. The first period (1999–2004) was characterized by a slight upswing in the level of financial inclusion. In the second period (2004–2012), the level of financial inclusion increased significantly. During the third period (2012–2019), the financial inclusion maintained almost the same level. Second, empirical results showed that the determinants of formal finance and mobile banking are different from those of informal finance. Having a high educational attainment and being a participant in the labor market fosters financial inclusion. Concerning financial exclusion determinants, the results emphasized that a high educational attainment reduces the barriers leading to voluntary exclusion. As income level increases, barriers of involuntary exclusion such as “lack of money” become surmountable. Although "remoteness" and "high cost" are the major barriers to financial inclusion of all Moroccan social classes, the development of mobile banking allows to eliminate, smoothen and/or loosen all barriers sources of involuntary exclusion. As for the barriers causing voluntary exclusion, the Islamic finance model constitutes a lever for the inclusion of population segments excluded for religious reasons. As for the determinants of the recourse to informal finance, being a woman, an older person and having a low educational level (no more than secondary education) increase the probability to turn to informal finance.

The main limitation of this study is the non-availability of data on the two dimensions (quality and welfare) of financial inclusion. The composite index is constructed on the basis of two dimensions (access and use) for which data are available.

This study has three main implications. In practice, with the launching of the National Strategy for Financial Inclusion, this work provides empirical grounded evidence that contributes to design financial inclusion policies in Morocco. In research, while the debate on financial inclusion, mobile banking and informal finance has been raging in recent years, Morocco, like many other African countries, has not received coverage on these topics at the household level.

For society, this study provides considerable insight about the segments of population that are financially excluded and the main reasons for their exclusion.

This study enriches the existing literature with four essential contributions. First, it analyzes the evolution of the level of financial inclusion in the Moroccan economy through the development of a synthetic index. Second, it is the first to study the Moroccan population's financial behavior on the basis of micro-level data, which will help understand more precisely their financial behavior and the main obstacles to their inclusion. Third, this study explores the determinants of the use of mobile banking. Fourth, it sheds some light on the main determinants of the recourse to informal finance.

This paper aims to analyze the governance-related and financial determinants and consequences of corporate social responsibility assurance (CSRA).

Based on a legitimacy theoretical framework and on the business case argument, the author conducts a structured literature review and includes 66 quantitative peer-reviewed empirical (archival) studies on key CSRA proxies (CSRA adoption, choice of CSR assuror and CSRA quality).

In line with the business case for CSRA, the literature review indicates that internal corporate governance, country-related governance and specific financial determinants as reporting, firm size and industry (sensitivity) have a positive impact on CSRA adoption.

A detailed analysis of CSRA proxies is needed in future archival research to differentiate between symbolic and substantive use of CSRA. In view of the current regulatory initiatives on CSR reporting and their decision usefulness, future research should also analyze in greater depth CSRA proxies as moderator and mediator variables.

With regard to the increased stakeholder demand on CSRA after the financial crisis of 2008–2009, firms should be aware of the value-added of CSRA to increase the decision usefulness of their CSR reports and firm reputation.

The analysis makes useful contributions to prior literature by focussing on empirical quantitative (archival) research method, structuring research on the business case for CSRA with respect to its governance and financial determinants and consequences for firms and stressing moderator analysis in archival CSRA research.

This study aims to investigate the institutional, macroeconomic and firm-specific determinants of financial leverage in Vietnam and provides new evidence from the dynamic panel fractional estimator.

This study uses a panel dataset of 859 Vietnamese firms from 2008 to 2022 and employs three estimators: Feasible Generalized Least Squares (FGLS), System Generalized Method of Moments (SysGMM) and Dynamic Panel Fractional (DPF), with DPF being particularly suitable for handling fractional dependent variables and the dynamic nature of financial leverage.

The results confirm the dynamic nature of the financial leverage model, with firm-specific factors, institutional factors and macroeconomic factors playing significant roles in shaping firms' financing decisions. The DPF estimator highlights the positive impact of stock market development on leverage. This study contributes to the literature by providing new evidence on the determinants of leverage in Vietnam, using the DPF estimator for more accurate estimation and revealing the significant impact of the size of the banking sector, the size of the stock market, the stock market development index, the financial development index and the corruption perception index on leverage.

This study contributes to the literature by providing new evidence on the dynamic nature of the financial leverage model and the impact of institutional, macroeconomic and firm-specific factors on financial leverage in the context of Vietnam. The use of the DPF estimator allows for a more accurate and reliable estimation of the determinants of leverage, considering the fractional nature of the dependent variable and the persistence of capital structure decisions over time.

This study aims to empirically analyze the effect of firm financial strengths (liquidity, leverage, and cost of goods sold) and firm characteristics (utilization, tangibility and company size) towards firm financial performance and study the differences of these effects before and after firms going public.

The analysis is based on 159 firms listed on the Stock Exchange of Thailand (SET) during the transition periods of interest from one year before each firm became a listed firm and up to five years after becoming a listed firm (data collection from 2002 to 2019). Fuzzy set qualitative comparative analysis (fsQCA) is applied for the analysis.

The empirical evidence shows that the firms have to maintain different levels of determinants during different years of operation. Before becoming listed firms, the firms' size plays a significant role in determining the firms' financial performance. Different characteristics are required, according to the size of the firms. One year after becoming listed firms, a low level of production and operating expenses in relation to sales and low leverage are the two important factors for superior financial performance. Then, 2–5 years after becoming listed firms and after a steady state is reached, two more factors, good liquidity and high tangibility, are shown to be significant for good financial performance of the firms.

Unlike prior studies, this study explains the causal relationships or combinations of determinants of financial strengths and firm characteristics, before and after going public toward good financial performance of firms, which cannot be identified by analyzing the calendar-year performance.

The purpose of this paper is to understand the determinants of financial inclusion and the determinants of barriers to financial inclusion in India. Also, the purpose is to ascertain the determinants of informal financial activities in India.

The data have been collected from the Global Findex Database (Findex) 2017. Various measures of financial inclusion, namely, ownership formal accounts, use of accounts for saving and borrowing, ownership and use of the debit card are used. The independent variables used are: age, income, education and gender. Given the binary nature of dependent variables, this paper uses the Probit model to draw the inferences.

The results show that gender, age, education and income have a significant impact on the various measures of financial inclusion. Additionally, these factors have a significant impact on the informal saving and borrowing.

The given study uses the deferent measures of financial inclusion. An index of financial inclusion created using all the financial inclusion measures would be a better indicator of financial inclusion.

The results of this study would be useful for policymakers to identify the determinants and barriers of financial inclusion in India. The results show that policymakers should focus on the female population, in particular, and education and income enhancing measures, in general, to make financial inclusion more inclusive.

The study is the first of its kind to analyze financial inclusion in India using the Findex. Unlike previous studies, variables such as education and income are constructed more pragmatically. In particular, the study tries to understand the socio-economic determinants of financial inclusion measured as ownership of formal accounts, formal saving, formal credit, ownership of debit cards and use of debit cards. The study also analyzes the determinants of barriers to financial inclusion, savings (formal and informal) and borrowing (formal and informal).

This study attempts to identify fundamental determinants of bond ratings for non-financial and financial firms. Further the study aims to develop a parsimonious bond rating model and compare its efficacy across statistical and range of machine learning methods in the Indian context. The study is motivated by the insufficiency of prior work in the Indian context.

The authors identify the critical determinants of non-financial and financial firms using multinomial logistic regression. Various machine learning and statistical methods are employed to identify the optimal bond rating prediction model. The data cover 8,346 bond issues from 2009 to 2019.

The authors find that industry concentration, sales, operating leverage, operating efficiency, profitability, solvency, strategic ownership, age, firm size and firm value play an important role in rating non-financial firms. Operating efficiency, profitability, strategic ownership and size are also relevant for financial firms besides additional determinants related to the capital adequacy, asset quality, management efficiency, earnings quality and liquidity (CAMEL) approach. The authors find that random forest outperforms logit and other machine learning methods with an accuracy rate of 92 and 91% for non-financial and financial firms.

The study identifies important determinants of bond ratings for both non-financial and financial firms. The study interalia finds that the random forest technique is the most appropriate method for bond ratings predictions in India.

Better bond ratings may mitigate corporate defaults.

Unlike prior literature, the study identifies determinants of bond ratings for both non-financial and financial firms. The study also experiments with modern machine learning techniques besides the traditional statistical approach for model building in case of relatively under researched market.

The purpose of this paper is to examine how the board of directors effectiveness (BODE), financial determinants, Takaful-specific determinants and the Takaful firms’ financial stability are related to the Shari’ah Supervisory Board’s quality (SCQ).

Using hierarchical regression analysis, the authors examine the determinants of financial stability of Takaful insurance and the authors test the moderator role of SCQ over 2016–2022 on a sample of 19 listed Takaful firms in 10 countries in the Middle East and South Asia region.

The findings reveal that SCQ negatively moderates the positive relationship between BODE, the Takaful model, diversification strategy, solvency, liquidity and Takaful financial stability. Shari’ah governance plays a crucial role in improving the financial soundness and the Shari’ah compliance of Takaful insurance.

This paper includes two main limitations. The results are restricted to the Middle East region and South Asia and may not be generalized to other areas. The study presents data from only 19 Takaful firms.

This kind of investigation is of immense relevance to enhance the understanding of governance and soundness of Takaful companies. Furthermore, it serves as a guide to the recruitment of Shari’ah board members, the choice of Takaful model and appropriate strategy to increase its financial stability.

This research studies the financial stability of Takaful insurance and the moderating role of SCQ, unlike the majority of other works that focus on financial performance.

The authors conduct a structured analysis of the literature on the determinants of economic and financial franchise performance and develop an integrative framework that unifies the literature from franchisor as well as franchisee perspectives.

53 relevant research articles on economic and financial franchise success published between 1976 and 2020 were identified. After providing an overview of the empirical methods and theoretical perspectives found in the literature, an original classification system of franchise success determinants was developed.

More than 50 different variables impacting economic or financial franchise success were identified and grouped into ten distinct categories. The most impactful categories are the franchise relationship, franchisee characteristics and capabilities, franchisor variables and the franchise environment. The study’s integrative framework illustrates not only the impact of these factors on franchise success, but also reveals which areas require more attention.

As the study focused on understanding the determinants of franchise success, any measures related to franchise failure were excluded. Also, the role of venture capital and stock market listing as growth strategies in the franchise sector were excluded.

The study’s framework shows how the management of franchise success is complex and that franchise relationship, franchisee and franchisor variables as well as the franchise context need to be taken into account. It illustrates that there is a hierarchy with which these determinants should be prioritized.

The article proposes the first systematic review of the literature on the determinants of economic and financial franchise success. The contribution offers both, researchers and practitioners, new and useful insights for future knowledge development in the field.