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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 this study is to explore the relationship among financial development (FD), economic growth, urbanization and human capital (HC) in Vietnam.

This study uses various wavelet tools, including wavelet coherence, wavelet correlation and scale-by-scale Granger causality test, to re-visit the lead–lag structure among economic growth, FD, urbanization and HC in Vietnam from 1980 to 2017.

The main findings indicate that economic growth and urbanization improve HC at the medium and low frequencies, whereas FD negatively affects HC from 1989 to 2017. Furthermore, the scale-by-scale Granger causality results confirm a uni-directional causality relationship between economic growth to HC at low and high frequencies. In contrast, a bi-directional causality relationship between urbanization and HC is found in the long run.

Policy implications have emerged based on the empirical results from this study. The Vietnamese Government should continue supporting economic integration, implementing investment promotion policies and focussing on foreign direct investment using green technologies.

The impact of FD on HC at different time scales has largely been ignored in Vietnam. This study substantially contributes to the existing literature regarding HC and FD. This analysis is one of the earliest attempts to examine the effects of economic indicators on HC in the time-frequency analysis.

In developing countries, banks play a major role by acting as a conduit for the effective mobilization of funds from the surplus sectors of an economy for onward lending to the deficit sectors for productive investments that will in turn increase the level of employment and economic growth. There has being a rising trend in unemployment rate in Nigeria and South Africa and hence, the need for the study to assess the effectiveness of banking system credit in curbing unemployment rate by making a comparative analysis of Nigeria and South Africa covering the period of 1991–2018.

The study employed the unit root test, Johansen cointegration test, vector error correction model and VAR impulse response function in determining the relationship between the variables.

The major findings revealed that banking system credit matters in curbing unemployment rate in South Africa than in Nigeria. Also, other macroeconomic factors such as lending rate, inflation rate, Government expenditure and population growth were significant enough in influencing unemployment rate in South Africa than in Nigeria. Foreign direct investment was a significant factor in reducing unemployment rate in Nigeria than in South Africa. The cointegration test showed a long-term relationship between the variables in both countries while the speed of adjustment coefficient of the vector error correction model is faster in South Africa than in Nigeria.

Previous empirical studies on the relationship between banking system credit and unemployment rate have focused much on other regions such as Asia and Europe. Thus, the study is unique as it focused on the African region and also made a comparative analysis by testing the Keynesian theory of employment, interest and money on two emerging African economies which are Nigeria and South Africa.

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.

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.

The purpose of this study is to analyze commercial bank-level data to examine a credit channel of the monetary policy transmission mechanism in emerging economies, such as South Africa from BRICS countries. Among the important questions that central banks, economists and policymakers have raised in this area are: Do bank characteristics and macroeconomic variables influence credit supply in South Africa? Do bank characteristics and macroeconomic variables interact to influence credit supply in South Africa?

Static panel data with pooled OLS, a random effect model and the fixed-effect model are used for data analysis. Using a sample of 50 commercial banks from South Africa over 10 years from 2009 to 2018. The statistical software Stata is utilized for data analysis.

The conclusion of this study shows that in South Africa, the loan amount has a strong and positive macroeconomic variable inflation effect. The outcomes of the study also revealed that in South Africa, there is a strong but negative association between interaction macroeconomic variables inflation and bank characteristic liquidity ratio on the loan amount.

The authors contribute to the existing literature by identifying the key determinants of monetary policy transmission channels through credit in South Africa and, furthermore, through a country-level data analysis and disaggregation at the commercial bank level, as well as economic conditions.

The purpose of this study is to determine the impact of disaggregate official development aid (ODA) on economic growth, and ascertain whether bilateral and multilateral aid played complementary role with private sector, government sector and external sector in driving growth of sub-Saharan African economies.

The role of bilateral and multilateral aid in economic growth of sub-Saharan Africa (SSA) is investigated in this study. The vector error correction model (VECM) and generalized method of moments (GMM) techniques are employed in estimating the short-run and long-run impacts, over the period 1980–2020.

The estimation results reveal that the effect of bilateral aid is positive, and more significant than multilateral aid. Their effect on economic growth is, however, less significant than the effects of domestic private investment and government spending. Nonetheless, aid complemented private and government sectors in facilitating growth. External trade is the only exogenous variable in estimation that is insignificant. The results further reveal that economic growth is unable to significantly respond to its own lag. Generally, the estimation results conform to theoretical expectations.

One major implication of the findings is that SSA countries have benefited substantially from development aid. It is, therefore, important for these countries to develop stronger institutions that would attract more inflows of development aid.

The study was motivated by the fact that less attention has been given to the role of disaggregate ODA in economic growth of African countries. Previous research works have tended to focus more on aggregate ODA. Furthermore, adequate research has yet to be done on how ODA complements the private sector, government sector and external sector in facilitating growth of African countries. These issues are investigated in the study.

The purpose of this paper is to examine monetary policies and bank lending in the emerging economies of Sub-Sahara Africa.

The dynamic system-generalized method of moments (GMM) that overcomes issues of unobserved period and country-specific effects, as well as potential endogeneity of explanatory variables, is applied in the estimation exercise. The study uses the data for 80 banks across 20 Sub-Saharan African countries from 2010 to 2019.

The findings show that expansionary monetary policy such as an increase in money supply stimulates bank lending, while contractionary monetary policies like increase in the monetary policy rates by the central banks lead to credit contraction, albeit a weak effect due to possible underdevelopment of financial markets, institutional constraints, bank concentration and other rigidities in the system characteristic of developing countries that undermine the effectiveness of monetary policy transmission. Capital adequacy ratio and size of economic activities are other variables that significantly influence bank lending channels.

Sub-Sahara Africa countries can enhance the effectiveness of monetary policy transmission on bank lending through the effective use of the transmission mechanism of changes in money supply and monetary policy rate.

While greater empirical attention has been devoted to the nexus between monetary policies and macroeconomic variables in country-specific studies, the connection between monetary policies and bank lending at an extensive regional or cross-country level is still scanty. For Sub-Saharan Africa, there is a palpable lack of empirical evidence on this. This study, therefore, seeks to fill this gap in a region where the impact of monetary policies on credit intermediation is crucial to the economic diversification efforts of the governments of Sub-Sahara Africa.

The article deals with the imperatives of functioning of the financial market of Ukraine in the global space of debt loading.

Within the Laffer debt curve model, the dependence of gross domestic product (GDP) change on the level of debt of the financial system for countries that form the economic core in the global financial space and well control the level of the indicator, as well as new member states that have a different level of secure debt loading and affect the portion of the financial market that forms a portfolio of securities to cover the cost of nonperforming government securities is mentioned.

It has been shown that stock indices, as constituent indicators of changes in the price environment of a certain group of securities in time space, allow to estimate the general direction of the market movement even when prices within the index basket change in different directions.

The dynamics of changing the debt loading of the financial system of Ukraine in the current, medium-term perspective is analyzed. The amount of the fixed and floating rate debt of the government internal securities is determined to ensure the diversification of interest rate risk. Using the parameters of the model of approximation functions of dimensionless quantities, the corridor of a safe level of general government debt in the country was determined.