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The study explores how the intention to export affects financing and non-financing variables for small and medium-sized enterprises (SMEs) in a low-income country (LIC). The objectives of this study are (1) to discern between regional and global exporting and (2) to evaluate its policymaking implications.

Primary survey data were collected from 330 Rwandan SMEs and were analysed using ordered logistic models as an application of the expectation-maximisation iterating algorithm, which was tested for robustness using a sampling model variation.

The results show that alternative sources of finance are the predominant choice to finance the intention to export within and outside Africa. As the scope of export intentions broadened from regional to global, there was a shift in preferences from less formal to more formal lending technologies, moving from methods like factoring to lines of credit. Moreover, reliance on bank officers became more significant, with increasing marginal effects. Finally, the study determined that government financing schemes were not relevant for SMEs pursuing either regional or global exporting.

Whilst alternative sources of finance predominate the export intentions of Rwandan SMEs, establishing a robust banking relationship becomes crucial for global exporting. Despite this implication, the intention to export should prompt more transparent communication regarding government financial support programmes. There is an opportunity for increased usage of relationship lending to customise support for SMEs involved in exporting, benefiting both the private and public sectors.

This study accentuates how export distance alters SME financing priorities. The results also contribute to understanding how the value of relationship lending changes when less familiar markets (i.e. global exporting) are the objective. Moreover, the study offers a new perspective on how institutional voids affect entrepreneurial financing decisions in LICs.

The purpose of the study is to examine the use of alternative information in bank lending to small and medium enterprises (SMEs). Understanding alternative information and its use in bank lending to SMEs is important because it has become a growing part of the future of SME finance. The results and findings of my study not only enrich the finance literature but, more importantly, also address the use of Fintech in the risk management of SME lending, a new and complex problem that is specific to both the information technology and finance field.

To answer the research question, the author used a case study approach that relies upon qualitative data and analysis. By iterating between the existing literature, theoretical pieces and empirical findings, the author explain and interpret in detail how the use of alternative information impacts loan outcomes and develop insights to guide future research.

The case is outlined in two time periods including the prepartnership period and the postpartnership period. It highlights the establishment of a partnership between LoanBank and FintechInc (pseudonym), aimed at SME-focused Fintech lending. The findings underscore how the partnership has enabled a mutually beneficial situation where LoanBank and FintechInc leverage each other’s strengths to provide efficient and effective lending services. The adoption of alternative information in the risk management Fintech (RMF) platform of FintechInc has transformed LoanBank’s lending processes, showcasing how technological innovations can enhance SME lending practices.

The study’s originality mainly lies in the three detailed insights regarding alternative information’s impact on SME lending: information, platform properties and financial inclusion. The information part demonstrates that RMF platforms expand the information used for lending decisions, shifting from traditional hard and soft data to incorporating various alternative information sources. The platform properties part suggests that location, openness and technology also play a pivotal role in shaping lending outcomes. Finally, the financial inclusion part proposes that the use of alternative information has the potential to improve financial inclusion and offer better credit terms to previously underserved borrowers.

It is broadly recognized in China that funding risks due to a lack of sufficient financial support from banks are the most crucial constraints that prevent the growth of small and medium enterprises (SMEs). In developed economies, such as Japan and European countries, the relationship banking business model is commonly used to help support SMEs to deal with funding risks. In this chapter, we investigate whether the relationship banking business model can be applied in China. This chapter uses the results of a unique survey study that was conducted by Professor Hiroyuki Kato of Kobe University and Professor Tang Cheng of Chuo University. They studied 183 SMEs in Zhejiang Province in China. After cleaning the data, the final sample size for this study was 100 firms. Using this data, we estimated the ordered logistic and OLS models to examine several hypotheses regarding relationship banking. We found evidence suggesting that relationship banking can mitigate funding risks for SMEs in China. Our study suggests that, although Chinese banks are still underdeveloped in terms of providing relationship lending, promoting the relationship banking model may be a significant way to resolve the financial difficulties of Chinese SMEs. It is generally very difficult to test hypotheses regarding relationship banking in China because of a lack of relevant data about Chinese SMEs. Due to our unique data set, which contains relevant information directly provided by Chinese SMEs, we can examine these hypotheses.

This study is a meta-analysis of the relationship between bank lending, profitability and non-performing loans (NPLs), and the purpose is to identify a research gap in studying this very crucial triad.

Firstly, relevant keywords are used to pull the studies from the Scopus and Web of Science (WoS) databases. The initial result is then narrowed down using relevant search criteria by manually filtering the studies based on the title and abstracts, out of which meta-analysis has been done of the findings of the top 200 papers (citation-based).

The literature in this field of study indicates heterogeneous results for relationships between bank lending and NPLs, bank lending and profitability and also NPLs and profitability. The meta-analysis of the results also reveals that the behaviour of these variables shows heterogeneity, which, based on the literature review, can be attributed to the different economic conditions during the study period and thus indicates nonlinearity in the behaviour of these variables.

This review explores the interrelationship of three variables, as they are very important to strike a proper balance between growth and safety in the banking industry, but the same has been inadequately researched in past studies.

Innovation in financing processes, enabled by the advent of new technologies, has supported the development of alternative finance funding tools. In this context, the study analyses the growing importance of alternative finance instruments (such as equity crowdfunding, peer-to-peer (P2P) lending, venture capital, and others) in addressing the small and medioum enterprises' (SMEs) financing needs beyond traditional bank and market-based funding channels. By providing more flexible terms and faster approval times, these instruments are gradually reshaping the traditional bank-firm relationship.

To comprehensively understand this innovation shift in funding processes, the study employs a novel approach that merges three MCDA methods: Spherical Fuzzy Entropy, ARAS and TOPSIS. These methodologies allow for handling ambiguity and subjectivity in financial decision-making processes, examining the effects of multiple criteria, including interest rate, flexibility, accessibility, support, riskiness, and approval time, on the appeal of various financial alternatives.

The study’s results have significant theoretical and practical implications, supporting SMEs in carefully evaluate financing alternatives and enables banks to better identify the main “competitors” according to the “financial need” of the firm. Moreover, the rise of alternative finance, notably P2P lending, indicates a shift towards more efficient capital access, suggesting banks must innovate their funding channels to remain competitive, especially in offering flexible solutions for restructuring and high-risk scenarios.

The study advises top management that SMEs prefer traditional loans for their reliability and accessibility, necessitating banks to enhance transparency, innovate, and adopt digital solutions to meet evolving financing needs and improve customer satisfaction.

The study introduces a novel integration of Spherical Fuzzy TOPSIS, Entropy, and ARAS methodologies to face the complexities of financial decision-making for SME financing, addressing ambiguity and multiple criteria like interest rates, flexibility, and riskiness. It emphasizes the importance of traditional loans, the rising significance of alternative financing such as P2P lending, and the necessity for banks to innovate, thereby enriching the literature on bank-firm relationships and SME funding strategies.

The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on the spatial distribution of mortgage finance and to highlight the different lending patterns of seven major UK banks. It also examines the relationship between the distribution of mortgage finance and socio-economic status at the local level.

The methodology is based on simple quantitative techniques, including spatial analysis, location quotient analysis and socio-economic classification. Lending data for Great Britain’s 10,000 postcode sectors are the basis for analysis here.

The results suggest that some banks lend significantly less than others in poorer areas, but, owing to a lack of data, it is not possible to say why. It is possible to identify banks that appear to change their lending patterns in areas with different socio-economic characteristics. The paper concludes by reflecting on key messages and by making a small number of recommendations to improve transparency in the sector.

In the absence of demand-side metrics, it is not possible to determine which banks lend disproportionately high or low amounts in poorer areas.

This paper has implications in relation to increasing financial transparency in the residential mortgage sector. The most important implication would be to highlight the fact that this new data – whilst a welcome development – is a long way from providing proper transparency in the mortgage lending sector.

This paper fills a gap in the international literature in relation to our understanding of the geography of mortgage lending in a major world economy. It also highlights important differential lending patterns in relation to socio-economic status at the sub-national level.

Using the small-business loan market, this paper aims to test whether a structural shift in access to borrowers’ financial information (i.e. credit ratings) improves market efficiency, thereby improving entrepreneurs’ access to external capital.

This research uses the National Survey of Small Business Finance in a conditional logistic regression framework to tease out the marginal propensity to grant lines of credit given the firm’s credit rating – treating both of the events, namely, line of credit and credit ratings, as endogenous variables. This methodology overcomes potential reverse causality issues.

The results show that information brokers have allowed small firms to break away from long-term monopolistic lending relationships, thus contributing to more informationally efficient markets. Small businesses benefit from better-informed lenders by having better access to capital. Also, women appear less likely to receive a line of credit even after adjusting for credit ratings.

This research highlights the importance of credit report awareness/monitoring by entrepreneurs, as the small-business credit rating grows rapidly. Relationship lending is not enough to reach optimal financing costs. These papers call for more regulated credit ratings industry to reduce potential moral hazards.

This paper tests whether bank lending relationships (soft information) still matter after accounting for credit ratings (hard information). Additionally, this study measures the extent to which information sharing by data services bureaus, a proxy for informational efficiency, has increased allocation efficiency in the small-business loan market.

Our purpose is the examination of the effects of fiscal policy on private lending for the Eurozone countries. The emphasis is on the identification of the time path of government spending and bank lending.

Fiscal policy is a main factor of macroeconomic stability for the euro area economy. This paper, investigates the impact of government spending on bank lending. For this reason, we present a dynamic theoretical model with a perfectly competitive banking sector, estimated using panel cointegration for the Eurozone countries from 2000Q1 to 2022Q2.

Our findings highlight that, in the long run, consistent management of government spending can have a beneficial multiplicative impact on bank lending for housing and business reasons. This finding is stronger in magnitude for business versus housing lending. The high level of homogeneity of our results across Eurozone countries has positive implications for a common fiscal policy in the future. Finally, authorities should know that policy adjustments are quicker in housing lending when compared to business lending.

In this paper, we contribute to the existing literature, concentrating on the investigation of any existence of long-run and short-run relationships between government spending and bank lending. Additionally, our analysis allows one to investigate the contribution of each Eurozone member state in the short-run and long-run model’s dynamics, providing significant outcomes for the implementation of economic policy and the need for fiscal discipline in the Eurozone.

The purpose of this research is to study the antecedents of risk perceptions of bank managers towards micro, small, medium enterprise (MSME) lending, in the situation of information asymmetry, where cognitive factors assume significance over organisational norms of lending.

This study proposed and tested a conceptual model based on the factors identified from literature review and exploratory and quantitative study. Multinomial logistic regression technique is used for quantitative analysis.

The research postulates that information asymmetry, risk attitude, perceived trust and organizational norms have a significant relationship with branch managers' perceived risk in lending to MSMEs. The research emphasized that the risk attitude of managers and perceived trust moderate the relationship between information asymmetry and perceived risk. The findings and discussions enrich the knowledge about the alleviators of constraints to MSME funding in developing nations despite information asymmetry.

Authors have given holistic view on the risk perception in the financial decision-making process of bank lending. The research highlights the importance of cognitive factors in decreasing the negative impact of information asymmetry on risk perception.

This study aims to analyze how recent regulation changes, namely, Basel II and the New Turkish Commercial Code, affect small and medium-sized enterprises (SMEs) and the relationship between SMEs and banks in Turkey through the eyes of SME managers. The author believes that the answers could differ for various types of SME.

In-depth interviews enabled a refined analysis of the effects of regulations in the eyes of firms’ representatives. The study was conducted for SMEs in the Anatolia Organized Industrial Zone.

One of the important conclusions of the paper is the fact that the loan approval process has been standardized and centralized. The results also show that regulations have different effects on larger and already stable firms than on smaller and/or start-up SMEs that do not have sufficient resources for the transformation required by regulations.

First, this study is a qualitative study that has the advantage of reaching richer and more plausible information that cannot be obtained by analyzing the numbers. Second, this study tries to analyze the perceptions of SMEs’ financial representatives rather than the perspectives of bank representatives. Finally, to the author’s knowledge, there has been no other study that analyzed a developing country on this topic.