Search results

The article investigates whether variety of democracy affects the probability to employ public subsidies for credit support by small- and medium-sized enterprises (SMEs) led by female entrepreneurs.

Building on the literature on democracy and on gender differences, it leverages a large firm- and country-level dataset (SAFE) of 31 democracies in Europe (EU and non-EU) over the 2009–2014 period by using probit models and instrumental variable approaches.

Results from the different econometric techniques and samples suggest that variety of democracy affects female-led SMEs in using public subsidies for credit support. The evidence is robust to endogeneity concerns.

The empirical evidence presents a time frame limitation. At the same time, SAFE is the only database that supplies information about the gender of firms and public subsidies for credit support, rendering it the only resource that allows the test of the hypothesis proposed. The article therefore offers insights for scholars to revisit our results in future studies that make use of datasets with a longer time span – when they will become available.

To the best of the authors' knowledge, the article is the first to study the effect of democracy on female entrepreneurial behavior in the use of public subsidies for credit support.

Our study aims to evaluate the impact of infrastructure and public investment on private investment in machinery and equipment in Brazil from 1947 to 2017. The contribution of our article to the existing literature lies in providing a more comprehensive understanding of the presence or absence of the crowding effect in the Brazilian economy by leveraging an extensive historical database. Our central argument posits that the recent decline in private capital accumulation over the last few decades can be attributed to shifts in economic policies – moving from a developmentalist orientation to nondevelopmental guidance since the early 1990s, which is reflected in the diminished levels of public investment and infrastructure since the 1980s.

We conducted a series of econometric regressions utilizing the autoregressive distributed lag (ARDL) model as our chosen econometric methodology.

Employing two different variables to measure public investment and infrastructure, our results – robust across various specifications – have substantiated the existence of a crowding-in effect in Brazil over the examined period. Thus, we have empirical evidence indicating that the state has influenced private capital accumulation in the Brazilian economy over the past decades.

Our article contributes to the existing literature by offering a more comprehensive understanding of the crowding effect in the Brazilian economy, utilizing an extensive historical database.

This study seeks to build a financial uncertainty index for Saudi Arabia. This index serves as a leading indicator of Saudi economic activity and helps to describe economic fluctuations and forecast economic trends.

This study adopts an extension of the Jurado et al. (2015) procedure by combining financial uncertainty factors with their net spillover effects on GDP and inflation to construct an aggregate financial uncertainty index. The authors consider 13 monthly financial variables for Saudi Arabia from January 2010 to June 2021.

The empirical results show that the constructed financial uncertainty estimates are good leading indicators of economic activity. The robustness analysis suggests that the authors’ proposed financial uncertainty estimators outperform the alternative estimates used by other existing approaches to estimate the financial conditions index.

To the best of the authors’ knowledge, this is the first attempt at constructing a financial uncertainty index for Saudi Arabia. This study extends the empirical literature, from which the authors propose a novel conceptual framework for building a financial uncertainty index by combining the approach of Jurado et al. (2015) and the time-varying connectedness network approach proposed by Antonakakis et al. (2020)

Empirical research on the relationship between financial inclusion and economic growth has neglected the influence of religion or secularism. This study aims to investigate the effect of financial inclusion on economic growth in religious and secular countries.

The financial inclusion indicators are the number of automated teller machines (ATMs)per 100,000 adults and the number of bank branches per 100,000 adults. These two indicators are the accessibility dimension of financial inclusion based on physical points of service. The two-stage least square (2SLS) regression method was used to analyze the effect of financial inclusion on real gross domestic product (GDP) per capita growth and real GDP growth in religious and secular countries.

Bank branch contraction significantly increases economic growth in secular countries. Bank branch expansion combined with greater internet usage increases economic growth in secular countries while high ATM supply combined with greater internet usage decreases economic growth in secular countries. This study also finds that bank branch expansion, in the midst of a widening poverty gap, significantly increases economic growth in religious countries, implying that financial inclusion through bank branch expansion is effective in promoting economic growth in poor religious countries. It was also found that internet usage is a strong determinant of economic growth in secular countries.

Few studies in the literature examined the effect of financial inclusion on economic growth. But the literature has not examined how financial inclusion affects economic growth in religious and secular countries.

This study aims to examine the impact and contribution of priority and non-priority sectors, as well as their sub-sectors, on the gross non-performing assets of public, private and foreign sector banks.

The Reserve Bank of India's database on the Indian economy is used to retrieve data over 13 years (2008–2021). Public sector (12), private sector (22) and foreign sector (44) banks are represented in the sample. Two-way ANOVA, multiple regression and panel regression statistical techniques are used in SPSS and EViews to examine the data. Further, the results are also validated by using robustness testing by applying the fully modified ordinary least square (FMOLS) and dynamic least square (DOLS) regression.

The results showed that, for private and foreign banks, the non-priority sector makes up the majority of the total gross non-performing assets, although both the priority and non-priority sectors are substantial for public sector banks. The largest contributors to the total gross non-performing assets in public, private and foreign banks are industries, agriculture and micro and small businesses. The FMOLS displays robustness results that are qualitatively similar to the baseline result.

Based on the study's findings about the patterns of non-performing assets originating from these specific industries, banks might improve the way in which these advanced loans are managed.

There has not been much research done on the subject of sub-sector-specific non-performing assets and how they affect total gross non-performing assets across the three sector banks. The study's primary focus will be on the issue of non-performing assets in the priority’s and non-priority’s sub-sectors, namely, agricultural, micro and small businesses, food credit, industries, services, retail loans and other priority and non-priority sectors.

This study investigates the borrowing behaviour of public sector employees in Malaysia by focusing on religious belief and psychological factors. The first objective of the study is to examine the differences in the borrowing behaviour according to demographic and socioeconomic factors of the civil servants. The second objective of the study is to investigate the influence of religious belief, excessive consumption, materialism and financial literacy towards two aspects of borrowing behaviour: personal loans and credit card usage.

Primary data was collected using a digital survey which was distributed using a convenience sampling approach to public sector employees working in Putrajaya and Kuala Lumpur, Malaysia. A sample of 340 public sector employees was obtained for analysis.

The study found that civil servants of different education backgrounds and income levels tend to differ in their borrowing behaviour. Specifically, those with lower levels of education, or lower income levels, tend to have a higher tendency of borrowing through personal loans. Multiple regression analyses reveal that public sector employees with either higher religious belief or higher financial literacy have a lower tendency of borrowing either through credit cards or personal loans. However, those who spend excessively or those who have higher levels of materialism tend to display more aggressive borrowing behaviour in terms of credit card usage and personal loans.

The study contributes to the literature by exploring the role of religious belief on borrowing behaviour. In addition, the study contributes to the literature by examining a specific group in the Malaysian society, i.e. public sector employees, due to the perturbing state of indebtedness among civil servants in Malaysia.

The purpose of this study is to examine mediating role of public sector governance in the relationship between entrepreneurship and economic growth in the Palestinian context during the years 2005–2020.

The necessary data were collected from the World Bank website and the annual financial reports of the Palestinian Monetary Authority. To achieve the study’s objectives, the researcher used content analysis method and regression model.

There is an effect of some dimensions of entrepreneurship (starting a business, obtaining credit, women starting a business) and public sector governance with dimensions (voice and accountability, political stability and absence of violence, effectiveness of government performance, organizational quality, the rule of law and control of corruption) on economic growth. In addition, there is no mediating effect of public sector governance in the relationship between entrepreneurship and economic growth.

The study helps in enhancing the elements of entrepreneurship by evaluating public governance in Palestine. It also offers future researchers a comprehensive vision that encourages Palestinian economic growth.

The paper contributes to showing the reality of public governance indicators for the Palestinian context and the amount of support for entrepreneurial activities indicators that affect economic growth.

Trying to activate cooperation mechanisms between government institutions and entrepreneurial institutions to adopt creative projects and ideas, especially for women, needs to focus on activating the principles of public sector governance in addition to facilitating administrative and financial procedures to start commercial projects in a way that enhances economic growth with the need to achieve the highest level of public sector governance indicators.

This study investigates the relationship between credit booms and bank risk in Association of Southeast Asian Nations (ASEAN) countries, with credit information sharing acting as a moderator.

The authors use a two-step System Generalized Method of Moments (SGMM) estimator on a sample of 79 listed banks in 5 developing ASEAN countries: Indonesia, Philippines, Malaysia, Thailand and Vietnam in the period 2006–2019. In addition, the authors perform robustness tests with different proxies for credit booms and bank risk. The data are collected on an annual basis.

Bank risk is positively related to credit booms and is negatively associated with credit information sharing. Further, credit information sharing reduces the detrimental effect of credit booms on bank stability. The authors find that both public credit registries and private credit bureaus are effective in enhancing bank stability in ASEAN countries. These results are robust to regression models with alternative proxies for credit booms and bank risk.

Banks in ASEAN countries tend to have strong lending growth to support the economy, but this could be detrimental to stability of the sector. Credit information sharing schemes should be encouraged because these schemes might enable growth of credit without compromising bank stability. Therefore, policymakers could promote private credit bureaus (PCB) and public credit registries (PCR) to realize their benefits. The authors' research focuses on developing ASEAN countries, but future research could provide more evidence by expanding this study to other emerging economies. In-depth interviews and surveys with bankers and regulatory bodies about these concerns could provide additional insights in the future.

The study is the first to examine the role of PCB and PCR in alleviating the negative impact of credit booms on bank risk. Furthermore, the authors use both accounting-based and market-based risk measures to provide a fuller view of the impact. Finally, there is little evidence on the link between credit booms, credit information sharing and bank risk in ASEAN, so the authors aim to fill this gap.

Financial constraints limit firms' ability to invest in working capital, which results in opportunity costs from lost sales or stockouts. The author examines initial public offering (IPO) firms' working capital management and build on the idea that newly listed firms experience a liquidity shock that allows them to invest more in working capital.

The empirical results are based on a sample of European IPO firms matched with comparable non-IPO firms; the author uses the generalized method of moments panel-data regressions to test the hypotheses.

The author observes that IPO firms increase their inventories-on-sales ratio, accounts receivable-on-sales ratio and operating working capital after the IPOs, which is consistent with the idea that going public relaxes financial constraints and allows firms to adopt more conservative working capital management practices. The observed results are stronger for smaller firms and zero-debt firms, which are the most financially constrained firms.

The study shows that working capital requirements can be financed via equity and not only via debt, and can even motivate the decision to go public for financially constrained firms.

This study aims to investigate the intricate relationship between corruption and the credit costs faced by small and medium-sized enterprises (SMEs) in OECD countries, a critical yet underexplored area in financial crime research. The primary aim is to dissect and understand how corruption impacts SMEs’ access to credit, highlighting a significant yet overlooked aspect of financial crime. This research seeks to fill a gap in the literature by providing empirical insights into the economic consequences of corruption, specifically on SMEs financing.

This study used secondary panel data from the World Bank and OECD databases. The data covered the period 2007–2020 for 25 OECD countries. This study used interest rate for SMEs loans as a dependent variable and GDP per capita, inflation and corruption index as independent variables. This study used the panel autoregressive distributed lag (ARDL) model to examine the relationship between variables.

The empirical findings derived from Panel ARDL postulate an intriguing dichotomy in the effects of GDP per capita, inflation rate and corruption on interest rates in both the short and long run. It was discerned that an increase in GDP per capita and inflation rate correlates with a decrement in interest rates in the long run, suggesting a potential compromise by central banks between controlling inflation and fostering economic growth.

This paper makes a novel contribution to the field of financial crime by illuminating the often-overlooked economic dimensions of corruption in the context of SMEs financing. It provides a unique perspective on the ripple effects of corrupt practices in credit markets, enriching the academic discourse and informing practical approaches to combating financial crime.