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This paper aims to determine causal relationships between the level of productive credit, real deposits and money demand – all of them in real terms – and Gross National Product between 2006 and 2020.

The vector autoregressive technique (VAR) was used, where data from real macroeconomic aggregates published by the Central Bank of Ecuador (BCE) are correlated, such as productive credit, gross domestic product (GDP) per capita, deposits and money demand.

The results indicate that there is no causal relationship, in the Granger sense, between GDP and financial activity, but there is between the growth rate of real money demand per capita and the growth rate of total real deposits per capita.

The study shows that bank credit mainly finances the operations of current assets and/or liabilities. In addition, economic agents use the banking system mainly to carry out transactional and precautionary activities.

International Financial Reporting Standards (IFRS) on microfinance services are important for several reasons, such as global financial integration, investor confidence, risk assessment, access to capital markets, creditworthiness, alignment with best practices, international partnerships, legal compliance, capacity building, and risk mitigation. The data is based on reports from all commercial banks in Uzbekistan. The authors developed the econometric equation using the autoregressive distributed lag (ARDL) model. This research hypothesizes that the bank's net profit is positively related to the bank's deposit practices. High net profit in commercial banks indicates financial strength and stability, which can increase customer trust in the bank. Depositors are more likely to entrust their funds to banks with strong financial performance because this increases their deposits' security. Consequently, higher net profit is expected to be associated with increased deposit practices. The factors are econometrically analyzed based on the conceptual model created by the author. The results of this study are of practical importance for developing remote banking services in the banking system of Uzbekistan. In conclusion, the econometric model provides insight into the relationship between various independent variables (loan operations, microfinance services, and net profit) and the dependent variable (deposit operations) for commercial banks.

This paper aims to review the literature extensively by analysing recent work and providing a guide for models, data sets and research findings.

This paper reviews the literature extensively by analysing recent work and providing a guide for models, data sets and research findings within the context of capital market imperfections. The authors further break down the literature into closer-in-nature categories for reader’s convenience and comprehension. Finally, the authors address gaps in the existing literature and propose government policies that can tone down the potential effect of credit rationing on employment.

This paper provides a map of the literature so as to help future researchers in the relevant literature and give a short insight of what has been explored so far.

This paper is original and is the result of a thorough review of an extensive literature.

In the wake of rapid banking consolidations in the USA, concerns have arisen about the accessibility of capital and financial services for new businesses. With fewer and more centralized banking options, the likelihood of these entities securing financing may be compromised. This study aims to explore the repercussions of this consolidation on entrepreneurial activities in the U.S. Midwest.

To measure entrepreneurship, this study examines various business application metrics: total applications, high-propensity business applications (i.e. those with a high likelihood of evolving into businesses with payrolls), business applications from corporations (applications stemming from corporations or personal service entities) and applications with planned wages (those indicating a forthcoming payroll date). To assess the banking sector’s consolidation, this study used the deposit-based Herfindahl–Hirschman Index (HHI), a well-known measure of banking concentration.

This research underscores the detrimental impact of banking consolidation on various new business formations. To illustrate, a one standard deviation surge in the HHI, roughly 1253 points, correlates with a decline of approximately 16 total business applications, 7.3 high-propensity business applications, 3.72 applications originating from corporations and 3 applications indicating planned wages – all per 10,000 individuals. The findings indicate that reduced banking competition could slow down new business formations and negatively affect entrepreneurship.

This study examines various business formation statistics and use deposits at the institution level to determine banking concentration.

The study examines the impacts of debt financing on infrastructure development, investment, creation of new business entities, subsidies to private sector and GDP growth.

The methodology is based on five simultaneous equations which have been estimated through panel least square.

The most important conclusion of this study is the significant role of sovereign bonds in determination of subsidies to private sector. The role of domestic credit is important in South Asian context because of its significant role in creation of new businesses.

This study supports the enhancement in credit financing to private sector for creation of new business activities in the economy.

The improvement in liquidity position by enhancing domestic credit facilities may ensure the sustainability and continuity of business activities. Such activities may improve GDP growth in future.

The most important aspect of the study is to identify the role of debt financing in subsidies and creation of new businesses which are important elements of social economics.

Usually the impacts of sovereign bonds and external debts on infrastructure development and GDP growth are examined. But, to relate these debts to creation of business entities and subsidies is a new dimension.

The purpose of the study is to investigate the correlation between credit supply to government and credit supply to the private sector to determine whether there is a crowding-out or crowding-in effect of credit supply to government on credit supply to the private sector.

The study used data from 43 countries during the 1980–2019 period. The study employed the Pearson correlation methodology to analyze the data.

There is a significant positive correlation between credit supply to government and credit supply to the private sector. There is also a significant positive relationship between credit supply to government and credit supply to the private sector, implying a crowding-in effect of government borrowing on private sector borrowing. The positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the period before the Great Recession, while the positive correlation is weaker and less significant during the Great Recession, and the correlation further weakens after the Great Recession. The regional analyses show that the positive correlation between credit supply to government and credit supply to the private sector by banks is stronger and highly significant in the African region than in the Asian region and the region of the Americas.

There is no evidence on the correlation between credit supply to government and credit supply to the private sector during the Great Recession.

This paper aims to investigate the nonlinear effects of bank regulation stringency on bank lending in 23 sub-Saharan African (SSA) countries over the period 1997–2017.

This study employs the dynamic panel threshold regression (PTR) model, which addresses endogeneity and heterogeneity problems within a nonlinear framework. It also uses indices of entry barriers, mixing of banking and commerce restrictions, activity restrictions and capital regulatory requirements from the updated databases of the World Bank's Bank Regulation and Supervision Surveys as measures of bank regulation.

The linearity test results support the existence of nonlinear effects in the relationship between bank lending and entry barriers or capital regulations in the selected SSA economies. The dynamic PTR estimation results reveal that bank lending responds positively when the stringency of entry barriers is below the threshold of 62.8%. However, once the stringency of entry barriers exceeds that threshold level, bank credit reacts negatively and significantly. By contrast, changes in capital regulation stringency do not affect bank lending, either below or above the obtained threshold value of 76.5%.

These results can help policymakers design bank regulatory measures that will promote the resilience and safety of the banking system but at the same time not bring unintended effects to bank lending.

To the best of the authors’ knowledge, this is the first study to examine the nonlinear effects of bank regulatory measures on bank lending using the dynamic PTR model and SSA context.

This study aims to investigate the effect of monetary policy transmission on the use-based classification of manufacturing industries in India, an integral aspect influencing the overall economic growth of the nation.

The empirical study applies a panel autoregressive distributed lag model to examine the relationship/association between monetary policy transmission mechanism and the output of manufacturing industries in the long run and short run.

In the long run, the findings reveal a negative association between money supply and manufacturing industries’ output, indicating that an increase in money supply corresponds to a decrease in manufacturing output. Conversely, a positive relationship is observed between manufacturing industries’ output and banks’ credit, indicating that an increase in bank credit leads to a corresponding increase in manufacturing output. In the short run, the results highlight a significant positive relationship between manufacturing output and monetary policy transmission variables, including money supply, statutory liquidity ratio, real exchange rate and foreign direct investment. The use-based classification of manufacturing industries such as primary goods, capital goods and intermediate goods exhibits greater responsiveness to monetary policy shocks than consumer durables and non-durables goods.

Policymakers are advised to regulate credit expansion to support the industry without risking financial instability, with key recommendations including stimulating consumer demand and adopting sector-specific policies to promote sustainable growth across diverse manufacturing sectors.

India, being a developing economy, efficient monetary policy transmission is crucial for boosting manufacturing output and employment. Nevertheless, there has been a scarcity of research concentrated on this pivotal intersection. This study aims to fill that gap, providing fresh insights into how monetary policy affects the growth of the manufacturing industry.

This study aims to investigate the intersection of financial technology (fintech) and credit risk exploring the impact of fintech on credit risk within the banking and financial sector.

Using a bibliometric analysis approach, this study comprehensively reviews existing literature to understand the evolving landscape of fintech and credit risk. Data were extracted from the Scopus database using a comprehensive query encompassing various fintech-related keywords and their synonyms.

This study pinpoints six research streams on fintech and credit risk, spanning credit risk management, risk-sharing, credit scoring, regulatory challenges, small business lending impact and consumer credit market influence. It also examines recent advancements like artificial intelligence, blockchain and big data analytics in managing risk obligations.

While this study offers a comprehensive assessment, limitations include the ever-evolving nature of technology and potential biases in the retrieval process. Researchers should consider these factors when building on this study's findings.

The findings have practical implications for financial institutions, policymakers and researchers, offering insights into the opportunities and challenges presented by fintech in credit risk management. This study highlights potential areas for the application of advanced technologies in risk assessment and mitigation.

This study underscores the transformative impact of fintech on financial services, emphasizing the potential for more inclusive access and improved risk management. It encourages further exploration of fintech's societal implications, including its role in small business lending and consumer credit markets.

This study contributes to the existing body of knowledge by conducting a thorough bibliometric review, surpassing previous analyses in scope. It encompasses an extensive set of keywords to ensure the comprehensive retrieval of relevant papers, providing a foundation for future research in the dynamic field of fintech and credit risk.

This study aims to re-examine the relationship between financial accessibility and performance of micro, small and medium enterprises (MSMEs) in developing countries using a large database.

This study uses cross-sectional firm-level data from the World Bank Enterprises Survey database collected under Wave II from 2006 to 2019. Controlled for firm level and country level factors, OLS and instrumental variable regressions have been used for analysis. Firm performance has been measured in terms of labour productivity.

The study observes a positive association between access to finance and MSME performance measured in terms of sales and value-added per worker. Along with firm characteristics (like size, age and managerial experience), country’s development level, institutional quality (i.e. corruption and regulations) and economic openness also impact MSMEs’ productivity.

Strengthening the financial system to allow the financial sector to meet the requirements of MSME finance is very important. Better access to external finance will enable MSMEs to invest in upgrading technology and expanding operations, thus improves their labour productivity. As the MSME sector is vulnerable to economic shocks, policies facilitating their access to formal credit during crises could strengthen resilience.

Credit constraint to MSMEs is a multi-stakeholder problem. It requires a coordinated approach from MSME owners, financial institutions and policymakers to address it and enhance the credit flow to the MSME sector. Timely research inputs from academia, research institutions and think tanks may help assess MSMEs promotion policies and their revision if needed.

To the best of the authors’ knowledge, this is the first study that examines the effect of access to finance on the labour productivity of MSMEs in developing countries. Given the mixed results in the recent past between access to finance and firm performance, it highlights the critical role of financial accessibility in improving their labour productivity and thus enabling MSMEs to realise their full potential in developing countries.