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The purpose of this paper is to identify which small businesses are most “debt sensitive”, or most likely to be affected by banking market conditions.

For the primary debt sensitivity categories, the paper hypothesizes that bank conditions are most likely to have significant effects on firms in size classes and industries that are “on the bubble” for credit availability (probability of credit close to 0.50), rather than those with “relatively easy” or “relatively difficult” access to credit (probability much higher or lower, respectively). The secondary classifications also require that loans fund a substantial proportion of assets for the firms in the category that have loans. These hypotheses are tested using a comprehensive data set of US small businesses by size class and industry matched with variables measuring bank market power, market structure, and efficiency in the firm's local markets.

Findings show that the data are consistent with the hypotheses, with the strongest support for the hypotheses occurring using the secondary classifications. In terms of policy implications, the findings suggest that the credit availability of small, debt‐sensitive firms may be reduced by within‐market mergers that increase concentration in rural markets, but that the more common type of recent consolidation – creating larger banks that operate in more markets – may be associated with an increase in credit availability for these sensitive firms. Such an increase in credit availability would be magnified if consolidation resulted in increased bank operating efficiency.

The paper offers insights into the effect of banks on “debt‐sensitive” small businesses.

This study aims to analyze the adoption of the people entrepreneurship credit with online platform – a government-sponsored subsidy of small and medium enterprises to reduce poverty and to improve welfare – in the Central Java, Indonesia. The objective of the research is also to analyze the motivation of small and medium enterprises to adopt the credit with online platform in supporting business activities. The research framework used the technology acceptance model – the effect of perception of usefulness, perception of ease of use, subjective norm and four As – availability, affordability, awareness, acceptability and trust – to analyze them as the determinants on the intention to adopt the People Entrepreneurship Credit.

The quantitative method with survey was deployed in the study by distributing questionnaires. The number of collected data was 380 credit users, and the criteria used for the respondents were the small entrepreneurs with the use of the people entrepreneurship credit as the micro credit program.

Results indicated that perception of usefulness, perception of ease of use, subjective norm, availability, trust and affordability have direct effect on the intention to adopt the credit. Interestingly, the strongest direct effect on the adoption intention was more likely to come from the perception of ease of use. Meanwhile, awareness and acceptability have no direct effect on the intention to adopt.

This study provides new theoretical insights regarding the implementation of technology acceptance model to analyze the intention to adopt and the analysis of four As concept. The findings of the study will provide a better strategy for banking as service industries in formulating the program of credit access for the entrepreneurs to run the business properly.

Post-independence, the rural credit market in India has undergone significant structural changes in order to enhance the availability and efficient use of credit. The purpose of this paper is to understand the challenges and changes in the Indian rural credit market in the post-independence period.

Using data from the All India Debt and Investment Survey conducted by the National Sample Survey Organisation of the Government of India from 1971–1972 to 2012 and Reserve Bank of India in 1951–1952 and 1961–1962, the study focuses on three important aspect of rural credit market, i.e. the availability, sources and uses of credit. The analysis is based on both the national and state level data and uses the decadal growth rates to explain the changes in the rural credit market.

Availability of credit, in terms of volume and number of households indebted, has increased substantially. However, the sharp rise in outstanding debt is a matter of concern. The share of credit from institutional agencies has seen a continuous decline post liberalisation. The non-institutional agencies, particularly the professional moneylenders, continue to be the most preferred sources of credit owing to their flexible nature of operation. Interesting, microfinance has emerged as a major source of credit particularly for the poor rural households. The rise in credit usage for non-income generating activities amongst poor households is another important concern.

The study highlights some of the most important features and characteristics associated with the Indian rural credit market. An understanding of these issues would provide valuable insight for shaping the future policy responses.

This study conducts an empirical analysis of the relationship between credit market conditions and agriculture output in Sub-Saharan Africa.

This paper uses a two-stage least square instrumental variable and difference generalised method of moments dynamic panel model because potential reverse causation and endogeneity are addressed.

The findings show that better credit market conditions contribute to agriculture productivity. The results also show that better infrastructure and availability of agriculture inputs are associated with productivity improvements. The empirical results are robust when an alternative measure of agriculture productivity is used.

An important research agenda for future studies will be to consider alternative measures of credit market conditions and other intervening variables that influence the nexus. Besides, other methods that account for cross-sectional dependence could also be considered as the impact of credit on agriculture varies across the sub-regions.

The findings make a case for enhancing credit market access to boost agriculture productivity. There is also a need to implement financial education programs for farmers and ensuring continuous engagement with farmers.

Although the issue of agriculture finance has been well documented in the literature, few studies have estimated the elasticity of agriculture productivity to changes in credit conditions. Also, our consideration of the intervening role of infrastructure amongst others is an area that has remained relatively unexplored.

USDA direct and guaranteed farm loan programs exhibit significant geographical variation in lending activity. County‐level estimations made using Tobit procedures indicate that use of Farm Service Agency (FSA) farm loan programs is greater in counties with lower per capita income and regions experiencing greater farm financial stress. Use of direct FSA loan programs was lower in counties with fewer private‐sector lenders. Guarantee loan program usage was found to decline when commercial agricultural lenders are absent from the county. FSA loan programs were more highly utilized in counties with an FSA loan service center and in states receiving greater FSA farm loan funding in past years.

An established paradigm in small business lending is segmented by bank size with large banks more likely to lend to large informationally transparent firms while small banks are more likely to lend to small informationally opaque firms. In light of banking consolidation, this market segmentation can have implications for credit availability. Federal loan guarantees, such as those provided by USDA's Farm Service Agency (FSA) may reduce the risks of lending to informationally opaque firms thereby mitigating the impacts of the bank size lending paradigm. This paper aims to discuss these issues.

This analysis utilized a binomial logit procedure to determine if there was any empirical evidence that smaller community banks served a unique clientele of farmers when making FSA-guaranteed loans. The analysis relied on a unique data set which incorporated detailed data on farm businesses receiving FSA-guaranteed loans, loan characteristics, as well as information about the originating bank and characteristics of the local credit markets.

Results were consistent with the bank size lending paradigm with smaller banks being less likely to engage in fixed-asset lending, and more likely to serve a riskier and less established clientele when making guaranteed loans.

Data limitations did not permit detailed analysis of banks larger than $250 million in total assets nor for consideration of non-bank lenders. An expansion by these lender groups into serving more informationally opaque borrowers could mitigate any adverse impacts arising from fewer small community banks.

The results suggested that Federal guarantees do not completely eliminate the relative informational advantages of large and small size banks. And, continued bank consolidation, such that there are fewer small community banks, could result in less credit availability among smaller, less creditworthy farm businesses.

While FSA guarantees may not enhance a large banks propensity to serve informationally opaque farm borrowers, they may enhance the ability of smaller community banks to serve groups specifically targeted through FSA lending programs; the provision of credit to family farmers who, despite being creditworthy, are unable to obtain credit at reasonable rates and terms.

The analysis examines relationship between bank size and the use of FSA guarantees using a unique data set which incorporated information on FSA-guaranteed loans, farm financial characteristics, along with characteristics of commercial banks which participated in the FSA-guarantee program.

This paper aims to examine the impact of national culture on private credit availability. The authors particularly focus on the masculinity dimension, as previous studies have not been able to reconcile this dimension in terms of results aligning with expectations.

Least-squares regression with country-cluster standard errors is used to estimate the impact of a nation’s cultural dimensions. Culture is assessed using Hofstede’s six cultural dimensions: masculinity, power distance, uncertainty avoidance, individualism, long-term orientation and indulgence. Estimation controls for country-level measures of economic growth and development, inflation, financial market development and the institutional, legal and bank environments. Data on more than 70 countries were collected from 2005 to 2014.

The authors find the masculinity dimension of culture has a significant negative impact on private credit access. Moreover, this result is driven by middle-income versus high-income countries. Interestingly, the authors also find the power distance dimension has a significant negative impact; however, this result is driven by high-income versus middle-income countries. Overall, these results are consistent with the authors’ argument that masculinity may be capturing traditionally defined gender roles, that masculinity (as the authors define it) is different from what power distance is capturing and that the impact of masculinity is influenced by a country’s economic stage.

The authors’ interpretation of masculinity, coupled with their results, presents researchers with an alternative perspective of a cultural dimension that previous studies have not been able to reconcile in terms of results aligning with expectations. Moreover, the authors show that the impact of the cultural dimensions on private credit differs for high- and middle-income countries, and thus has important implications.

The financial system of an economy, especially banking, facilitates efficient allocation of resources from savers to borrowers for productive investments, and thus promotes economic growth. State-wise bank credit in India shows a growing divergence, despite the aim of central planning to reach a degree of convergence in macroeconomic performance over time. This chapter analyzes how diverging bank credit affects macroeconomic performances of the Indian states, through an alternative approach of composite indicators-based rankings of states adopting the methodology of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) that is used in operations research or more specifically MCDM (multiple criteria decision-making). A composite indicator of the states’ annual macroeconomic performances has been constructed taking indicators of output growth, per capita state domestic product, inflation, and fiscal indicators for years 2006–2018. States are ranked by both macroeconomic performance and bank credit to states, and the correlation between the two indicators, known in the literature to be interlinked,is studied here to understand how the availability of credit or lack of it has influenced State level macroeconomic development in India. The results thus show that wealthier and better performing states continue to attract the larger chunk of bank credit, while weaker states have not been able to catch up. An important policy implication would be to place even more emphasis on higher levels of credit growth for weaker states, particularly infrastructure credit, to achieve a degree of income convergence throughout the Indian economy.

Introduction: According to the existing research, one of the key determinants of a company’s survival and market development is its ability to get bank loans or other external sources of finance for business expansion.

Purpose: The study aims to explore the factors affecting access to finance and their effects on the development of medium- and small-sized businesses. These factors include business size and age, profitability, the length of a company’s association with a commercial bank, and banking sector characteristics.

Need for the study: It is particularly crucial for small- and medium-sized businesses since they often have trouble getting funding from banks because they don’t supply the banks with the information they need to assess their loan application prospects, however, when a company’s economic and financial situation improves, banks get access to more information about the firms, and financing is thus more readily available.

Methodology: This research is based on qualitative methods, focus on an elaborative study of the existing literature, and provide suggestions based on the same.

Findings: The findings show that small- and medium-sized businesses, like those in other European nations, have less access to finance than large businesses. It revealed that the company’s size, liquidity, profitability, and banking industry state significantly influence the availability of bank loans.