Search results

This paper aims to examine the impact of traditional banks’ financial technology (FinTech) adoption on corporate loan spreads and lending practices.

This study examines the impact of FinTech adoption by banks on corporate loan spreads and lending practices. By analyzing data from bank 10-K filings, we develop a novel metric to assess FinTech adoption at the individual bank level. Our analysis reveals a significant positive correlation between increased FinTech adoption and higher corporate loan spreads, particularly for loans that are relatively informationally opaque. This causality is further validated through a quasi-natural experiment. Additionally, we identify trends toward loans with smaller sizes and longer maturities in banks with advanced FinTech integration.

Using a sample of corporate loans issued from 1993 to 2020, this paper documents a significant positive relationship between a bank’s increased FinTech adoption and higher loan spreads. This correlation is especially noticeable for loans that are informationally opaque. Moreover, the paper reveals trends toward smaller loan sizes and longer maturities with advanced FinTech integration in banks. Overall, these findings indicate FinTech enhances efficiency in processing hard information and holds the potential to enhance financial inclusion.

This paper contributes to two significant strands of finance literature. First, it highlights how banks with advanced FinTech integration gain advantages through enhanced processing of hard information. Furthermore, it underscores the role of FinTech in promoting financial inclusion, particularly for those borrowers facing informational opacity.

The Farm Service Agency (FSA) conservation loan program was introduced in the 2008 Farm Bill to provide additional credit to assist producers implementing approved Natural Resources Conservation Service (NRCS) conservation projects. This paper explores why this program has been widely underutilized despite an overall increase in United States Department of Agriculture (USDA) Conservation Program participation.

The FSA administrative loan data are merged with NRCS program participation and payments data for 2010–2021. The share of project costs paid by producers and resulting savings achieved by farmers participating in both programs if their cost-share portion was paid by FSA loans are estimated, as well as the impact on farmer conservation spending under different estimates of increased participation.

A significant share of FSA farmers are likely to take advantage of NRCS programs, with the majority of participants paying under $25,000 in cost-share portions. These loans are less suited to guaranteed conservation loans and more appropriate for the discontinued direct conservation loan program. Few FSA borrowers participating in NRCS cost-share programs pay more than $50,000 in cost-share portions. These loans would receive the majority of benefits from interest reduction schemes under the current guaranteed loan program.

Our results and suggestions provide valuable information when discussing the Guaranteed Conservation Loan Program in the 2023 Farm Bill legislation.

No prior research has attempted to merge FSA guaranteed or direct loan data with conservation program participation and payment data, focused on producer cost-share levels or the FSA Guaranteed Conservation Loan Program in the last decade, making this study a valuable contribution to the literature.

The COVID-19 pandemic has profoundly impacted the global economy, disrupting supply chains, causing job losses and altering consumer demand. In Malaysia, the real estate sector has been notably affected, with increased property impairments and overhang due to unprecedented uncertainty. Understanding these effects is crucial for policymakers and investors to prevent real estate and banking crises. This study aims to analyse the relationships between macroeconomic factors during the pandemic on property impairments and overhang, providing insights for maintaining macroeconomic stability. The findings will inform strategies for mitigating economic shocks, identifying opportunities, and guiding real estate policies in Malaysia and potentially globally.

This research article uses a time series ARDL regression analysis to examine pivotal macroeconomic factors including income, housing process, interest rates and unemployment on property loan impairments and property supply overhang in Malaysia. ARDL is effective to measure and analyse time series data, especially to understand the lagged impacts of macroeconomic factors. This can be seen by various economists in analysing macroeconomic factors affecting non-performing loans or the real estate finance using regression analyses both in Malaysia and other regions. The observations are gathered before, during and after the COVID-19 pandemic, spanning a five-year period with monthly frequency from 2018 to 2022.

The study emphasizes the critical importance of effectively managing unemployment and implementing policy interventions, such as moratoriums, to stabilize the economy and reduce the risk of loan impairments during crises like the COVID-19 pandemic. Additionally, this study highlights a significant inverse relationship between income per capita and loan impairments, underscoring the necessity for policies that promote economic growth and income equality. Initiatives targeting job creation, education and skills development can elevate income levels, thereby decreasing loan impairments. Lower lending interest rates during the pandemic also help mitigate the risk of loan impairments by facilitating borrowing, stimulating economic activity and enhancing financial well-being. Furthermore, the study suggests that while lower interest rates incentivize property developers and investors, understanding the intricate interaction between housing prices and supply is crucial for policymakers and stakeholders to effectively manage the housing market and ensure adequate housing supply, especially during crises.

This paper provides insight for policymakers, regulators, investors and property consultants into the dynamic effects of key macroeconomic factors amidst a global recession in how they impact the real estate market with regards specifically to all types of property loan impairments and property supply overhang. The observations are limited to the COVID-19 period, spanning five years with monthly data from 2018 to 2022. This understanding can facilitate the development of targeted strategic monetary policies and investment decisions in case of future recessions.

Policymakers should prioritize initiatives such as moratoriums and job creation programs to mitigate economic downturns. Additionally, financial institutions need to adjust lending practices in response to lower interest rates, while stakeholders in the housing market must understand the complex dynamics between housing prices and supply to ensure a balanced market. Overall, addressing underlying economic factors and implementing targeted policies are essential for building resilience and promoting sustainable economic growth amidst challenging circumstances.

Initiatives aimed at fostering income equality, creating employment opportunities and ensuring housing accessibility contribute to greater social cohesion and well-being. By promoting financial inclusion and building resilience to crises, societies can mitigate the adverse social impacts of economic challenges such as unemployment and housing affordability. Overall, addressing socioeconomic disparities and promoting inclusive growth are essential for fostering a more equitable and resilient society.

The originality and uniqueness of this study lie in its comprehensive analysis of the impact of COVID-19 on loan impairments and housing supply. While previous studies have focused on the pandemic’s effects on specific segments of the real estate market or property prices, this study provides a broad overview of its impact on property loan impairments and housing supply overhang. Finally, this study highlights the social and practical implications. Overall, this study offers a distinctive analysis of COVID-19’s impact on the real estate market and its implications for policymakers, real estate professionals and investors.

The authors study the effect of an exogenous shock in the form of Coronavirus lockdowns on individual default and on default contagion within the microfinance (MF) sector in India. The authors rely on proprietary data obtained from an MF institution for the period from Nov 2019 to Dec 2020. The authors show that default increased to 95.29% in the month of April 2020, when Covid lockdowns were fully in place. However, borrowers bounced back thereafter, either making full or partial payments, so that defaults had fallen to 5.92% by December 2020. Static features of the group lending model like peer monitoring and joint liability help explain 90% of the monthly deficit during Covid lockdowns among uneducated borrowers. Dynamic features such as contingent renewal help explain why defaults were cured quickly through timely repayments. Finally, there is an absence of default contagion at the district level. Indeed, lagged own default explains 96.6% of variation in individual default, rather than contagion through group, village or district-level defaults. The authors conclude that the MF sector is resilient to exogenous shocks like the pandemic.

The authors use time series panel regressions, as well as cross-sectional regressions.

The authors find that borrower defaults increased significantly to 95.29% during the month of April 2020, when Covid lockdowns were fully in place. However, borrowers bounced back almost immediately, either making full or partial payments, such that defaults had fallen to 5.92% by December 2020. The group lending model does remarkably well in explaining defaults even during Covid lockdowns. Among the majority (92%) of borrowers who are residents of rural districts, the group lending model appears to blunt the impact of the exogenous shock on rates of default. Indeed, panel regressions demonstrate that the group lending model helps explain 90% of the monthly deficit among uneducated borrowers. Logistic regressions indicate that the group lending model is less persuasive among relatively affluent borrowers residing in semi-urban or urban areas who have some formal schooling. Contingent renewal is shown to be an effective disciplining mechanism when a group does default due to the Covid lockdowns. The authors find that groups who defaulted in April 2020 but repaid the outstanding balance within the next two months were more likely to receive subsequent loans from the lender. On the other hand, groups who defaulted in April 2020 and did not repay the outstanding balance until December 2020 did not receive follow-on financing. Finally, the authors find that lagged individual default is the primary source of individual default, rather than contagion through group, village or district-level defaults.

The limitation of the study is that it is confined to a single MF institution in India.

The authors conclude that the social capital that is the foundation of the group lending model succeeds in limiting both the risk and contagion of default from an exogenous shock, such as the Covid pandemic.

To the best of the authors’ knowledge, the authors are the first to examine defaults in the Indian MF sector during the Covid lockdowns in April 2020.

The purpose of this paper is to explore the perceptions, experiences and behaviors of women entrepreneurs and industry professionals in raising finance for women-led businesses and associated problems faced by the women entrepreneurs.

This qualitative research adopts a narrative inquiry strategy. In-depth interviews are used to collect data from women entrepreneurs and women industry professionals in Pakistan. NVivo qualitative data analysis software is used to organize, analyze and find insights in the qualitative data.

This research finds that women entrepreneurs struggle to secure financing for their businesses, and most of them have not been successful in obtaining loans from banks. Women entrepreneurs have relied on various sources of funding, including microfinance banks, grants, personal finance and family members. Some of the barriers to finance attainment for women entrepreneurs include sociocultural inhibitions, lack of awareness and limited information dissemination by financial institutions. Women professionals suggest that entrepreneurs should maintain a bank account, have proper documentation and show dedication to their business to improve their chances of obtaining financing.

This research provides theoretical contributions and methodological advancements in the study of financial inclusion for women-owned businesses in Pakistan. This research raises awareness about the difficulties women entrepreneurs face when trying to obtain credit from banks and other financial institutions and provides policy recommendations to inform the government about financial inclusion policies and financing policies for women entrepreneurs. Overall, this research contributes to the literature on financial access and access to finance for women-owned businesses in developing countries.

Based on the vulnerable group theory and theory of discouraged borrower, this paper has two important theoretical and practical implications. First, the findings of this study reveal that the financial services are indifferent to women, and there is a denial of women being vulnerable in the financial system, hence requiring a major policy shift to not portray women as vulnerable, as they will rationally feel risky and prefer to opt out of the financial system. Second, the findings suggest that the issue of access to finance for women is not in the financial services but in the women's capabilities and awareness. Therefore, a policy shift is suggested from “financial services for women” to “capability and awareness of women” to avail and access the current services.

This paper aims to investigate the impact of environmental risk on corporate governance through market reaction to bank loan announcements.

Using the establishment of environment court in China as a quasi-natural experiment, this paper adopt the difference-in-differences approach based on listed firms during 2003–2013 to explore the impact of environment court on corporate governance.

This paper find that the environment court would weaken the cumulative abnormal return of loan announcements. Then, this paper confirm that the potential reason is that environment court worsens the interest conflict between majority and minority shareholders. Further, cross-sectional analysis suggests that bank’s supervision, market competition and analyst coverage can alleviate the impact of environment court on corporate governance.

Environment courts intensify firms’ internal interest disputes, thus causing the decrease of corporate governance, which can be observed through the effect of bank loan announcements.

This paper provide reference for environmental policy formulation and implementation, firms’ decision-makings and improving the banking regulatory system.

This paper makes a contribution to the studies about the impact of environment court on firms’ decision-making and investors’ reaction, the impact of external factors on corporate governance and bank loan announcements effect.

The growth of lending from nontraditional lenders may pose challenges for official US Department of Agriculture (USDA) farm sector debt estimates, but it is difficult to find data to assess official estimates. The purpose of this study is to examine whether debt provided by nontraditional lenders is accurately accounted for in official estimates.

We compare traditional and nontraditional lending data from farm equipment lien collateral values and the USDA Agricultural Resource Management Survey (ARMS). After analyzing trends in equipment lending implied by farm equipment lien data and ARMS, we estimate whether changes in farm equipment lien values predict changes in equipment debt reported in ARMS and whether lender type influences that relationship.

We find that credit provided by nontraditional lenders is likely underreported in ARMS. Our econometric model shows that equipment debt volumes for nontraditional lenders are consistently lower than traditional loan volumes in ARMS across a variety of model specifications. We also find that an increase in lien values for nontraditional lenders is less likely to predict an increase in ARMS equipment debt volumes than an increase for traditional lenders.

Official farm sector debt estimates may not fully account for nontraditional lenders.

This study demonstrates how the growth of nontraditional lending poses challenges for estimating US farm sector debt. We evaluate farm sector debt estimates and advance knowledge of the role of nontraditional lenders in farm equipment credit provision. The farm equipment lien dataset provides a rich source of novel data for research on local and national equipment debt and investment.

This paper examines why farmers self-select out of formal credit markets even though they need external funds.

We use probit and Bayesian probit estimators to detect the determinants of self-selection behavior based on a primary dataset of 2,212 rice farmers in Vietnam. After that, we use the multinomial probit (MNP) and Bayesian MNP estimators to reveal the impact of relevant factors on the decision to self-select for farmers belonging to each self-selection category.

The probit and Bayesian probit estimators show that the decision to self-select depends on household head age, income per capita, farm size, whether or not to have relatives or friends working for banks, the number of previous borrowings, risks related to natural disasters, diseases, and rice price, and the number of banks with which the farmer has relationships. The MNP and Bayesian MNP estimators give further insights into the decision of farmers to self-select in that determinants of the self-selection behavior depend on the reasons to self-select. In concrete, farm size and the number of previous borrowings mitigate the self-selection of farmers who did not apply for loans due to having access to other preferred sources of credit. The self-selection of farmers not applying for loans because of unfavorable loan terms is conditional on household head age, farming experience, income, farm size, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with. Several factors, including education, income, the distance to the nearest bank, whether or not having relatives or friends working for banks, the number of previous borrowings, risks, and the number of banks the farmer has relationships with, affect the self-selection of farmers not applying for loans because of high borrowing costs. The self-selection of farmers not applying for loans because of complex application procedures depends on income and the number of previous borrowings. Finally, the household head’s age, gender, experience, income, farm size, the amount of trade credit granted, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with are the determinants of the self-selection of farmers not applying for loans because of a fear not being able to repay.

This paper fills the knowledge gap by investigating why farmers self-select out of formal credit markets. It provides evidence of how the farmers’ subjective perceptions of rural credit markets contribute to their self-selection.

This paper shows that demand-side constraints are also vital for farmers’ access to bank credit. Improving credit access via easing supply-side constraints may not increase credit uptake without addressing demand-side factors. Given that finding, it recommends policies to improve access to bank credit for farmers regarding the demand side.

Borrowers’ intentional non-payment of bank loans despite being able to pay is a financial crime. This paper explores how willful loan defaulting became a societal practice in Bangladesh, where non-performing loans (NPLs) are assumed to surpass BDT 4 trillion mainly due to habitual defaults of large borrowers.

This study reviewed publicly available documents and interviewed bank managers, loan takers, regulators and industry experts. It drew on Pierre Bourdieu’s practice theory, specifically the concepts- habitus, capital and field, to explain the permeation of “intentional defaulting culture” in the banking industry.

Willful defaulting in Bangladesh is an outcome of a harmonious blend of defaulters’ mindsets and possession of capital supported by the structure and rules of the field. The socio-political context facilitates, rather than impedes, the “unwillingness to pay” motive of the habitual defaulters due to their possession of different forms of capital.

Understanding of how the crime of willful defaulting emerges and persists in society may have policy and practice implications in economies suffering NPL problems.

This study explicates how individual intents and institutional structures jointly amplify financial crimes in society.

This study aims to determine whether the relationship between the Muslim community and moneylenders is important even though the practice of moneylenders is clearly forbidden in Islam. This study examines a model consisting of two major theories, namely, the theory of planned behavior (TPB) and marketing theory, and the existence of the religiosity variable as a moderator.

This study uses a structural equation modeling (SEM); SEM was chosen because it has effectiveness in revealing estimates of direct and indirect effects and shows moderating values. Manual questionnaires were distributed to 385 Acehnese who use loan shark services.

The combination of TPB and marketing theory constructs has a significant influence on the intention to use loan shark services. Then, the existence of the word-of-mouth variable significantly mediates the relationship between service and subjective norms and the intention to use loan shark services. In fact, the position of the religiosity variable has a significant negative effect on the intention to use loan shark services, and in terms of the moderating effect, it has been demonstrated that religiosity weakens the relationships between the services provided by loan sharks and the intention to use loan shark services.

This study has several limitations. First, sampling is still limited and can still be expanded. Second, it is difficult to get data and there are people who refuse to be sampled. Third, this study succeeded in capturing the phenomenon of the behavioral intentions of people who have a religious spirit but are still associated with moneylenders.

This research provides material implications for the Aceh Government, especially in managing public funds. Indeed, Aceh is a productive province that has produced policies and regulations that encourage the Sharia economy; it is just that the use of social funds and Islamic philanthropy in Aceh has not been maximized, which has led to the growth of a network of moneylenders. Because of this, Aceh, which has been successful in producing the law for Islamic financial institutions, should also be successful in destroying the moneylender network by synergizing to create alternatives and financial solutions for the community, especially the lower and middle classes.

This research explains that the level of religiosity can dampen and reduce the intention to use loan shark services; therefore, it is important for the community to understand the dangerous impact of using loan shark services and expand the role of community leaders in socializing the idea of lending money to loan sharks.

Due to the lack of studies on the behavior of Muslims using the services of moneylenders, therefore, this study provides new knowledge of the literature on the economic behavior of Muslim communities who continue to use the services of moneylenders. This study develops TPB theory and marketing theory in one model and involves the religiosity variable as a moderator.