Search Results (38)

Education is considered an investment in human capital that is gained at the cost of knowledge acquisition. This cost is borne by the beneficiary along with subsidy provided by the government, if any, that is mainly collected through tax revenues. This article aims to systematically review the utility derived and the burden experienced with educational debt borrowers across the globe as per the three types of educational loan schemes present across the globe. This study follows the PRISMA guidelines for review selection, and 47 articles published between 1994 and 2024 were included for the final review. The study results reveal that education improves the quality of life; an educational debt servicing to income ratio above 8% is considered as a financial burden. Also, the results reveal that material benefits are high after education along with an increase in the psychological burden because of repayment concerns. This study highlights the need to move towards designing a flexible repayment system in the education loan scheme based on the income contingent schemes adopted in many countries. Income contingent schemes reduce the repayment burden of the borrowers but the return to the lender is limited to the income of the borrower, and mortgage-based schemes are associated with high repayment burden. Therefore, a dynamic scheme will fix the problems associated with the repayment burden by creating a dynamic link between the benefits received and the contributions made by the borrower. Full article

American households owe more than $12 trillion in mortgages, which represents the main source of a family’s debt. Scholars connect mortgages to the desire of families, especially better-off households, to seek housing in neighborhoods with good schools for their children, which tend to be more expensive. Although this perspective assumes a children–mortgage link, we do not know whether having children actually increases mortgage, nor whether and how this relationship varies by household income. To examine these issues, we use eleven waves of the Panel Study of Income Dynamics data between 1997 and 2017 and individual fixed effects, as well as propensity score matching and a quasi-experimental design. Our analyses show that generally, (1) families with children are more likely to have mortgage debt and in greater amounts; (2) it is families in the 60th to 100th income percentile who have the most mortgage debt; and (3) critically, families in the roughly 10th to 60th income percentile have more mortgage debt due to having children. These findings defy assumptions that it is well-to-do families that take on more mortgage debt as part of intensive or concerted cultivation parenting practices. Rather, our findings suggest that families who take on mortgage debt related to their children tend to be those in more economically precarious positions for whom debt for the sake of kids may be a financial burden. As such, our findings provide suggestive evidence that financially intensive parenting may contribute to growing wealth inequality among American families with children. Full article

Rising costs, complex supply chain management, and stringent regulations have created significant financial burdens on business sustainability, calling for new and rapid strategies to help enterprises transform. Supply chain digitalization (SCD) has emerged as a promising approach in the context of digitalization and globalization, with the potential to reduce an enterprise’s debt costs. Developing a strategic framework for SCD that effectively reduces the cost of debt (CoD) has become a key academic challenge, critical for ensuring business sustainability. To this end, under the perspective of four flows, SCD is deconstructed into four distinct features: logistics flow digitalization (LFD), product flow digitalization (PFD), information flow digitalization (IFD), and capital flow digitalization (CFD). To precisely measure the four SCD features and the dependent variable, COD, publicly available data from Chinese listed manufacturing enterprises such as annual report texts and financial statement data are collected, and various data mining technologies are also used to conduct data measurement and data processing. To comprehensively investigate the impact pattern of SCD on CoD, we employed the explainable machine learning methodology for data analysis. This methodology involved in-depth data discussions, cross-validation utilizing a series of machine learning models, and the utilization of Shapley additive explanations (SHAP) to explain the results generated by the models. To conduct sensitivity analysis, permutation feature importance (PFI) and partial dependence plots (PDPs) were also incorporated as supplementary explanatory methods, providing additional insights into the model’s explainability. Through the aforementioned research processes, the following findings are obtained: SCD can play a role in reducing CoD, but the effects of different SCD features are not exactly the same. Among the four SCD features, LFD, PFD, and IFD have the potential to significantly reduce CoD, with PFD having the most substantial impact, followed by LFD and IFD. In contrast, CFD has a relatively weak impact, and its role is challenging to discern. These findings provide significant guidance for enterprises in furthering their digitalization and supply chain development, helping them optimize SCD strategies more accurately to reduce CoD. Full article

Debt collection companies buy overdue debts on the market in order to collect them and recover the highest possible amount of a debt. The pursuit of debt recovery by employees of collection agencies is a very demanding task. The aim of the article is to propose a rule-based model for managing the process of mass debt collection in a debt collection company, which will make the debt collection process more efficient. To achieve this, we have chosen a decision tree as a machine learning technique best suited for creating rules based on extensive data from the debt collection company. The classification accuracy of the decision tree, regardless of the possibility of acquiring rule-based knowledge, proved to be the highest among the tested machine learning methods, with an accuracy rate of 85.5%. Through experiments, we generated 16 stable rules to assist in the debt collection process. The proposed approach allows for the elimination of debts that are difficult to recover at the initial stage of the recovery process and to decide whether to pursue amicable debt collection or to escalate the debt recovery process to legal action. Our approach also enables the determination of specific actions during each stage of the proceedings. Abandoning certain actions or reducing their frequency will alleviate the burden on collection agency employees and help to avoid the typical burnout associated with this line of work. This is the path to making the organizational culture of a collection agency more sustainable. Our model also confirms the possibility of using data from debt collection companies to automatically generate procedural rules and automate the process of purchasing and collecting debts. However, this would require a larger set of attributes than what we currently possess. Full article

Congestion persists despite various demand management techniques, particularly for handling recurrent congestion. However, non-recurrent congestion from events like VIP movements poses unique challenges, especially during peak hours. This study investigates the environmental and economic impacts of road blockages due to VIP movements in developing countries, focusing on Pakistan. Considering practiced standard operating procedures associated with VIP movements, this study finds significant delays and economic burdens in debt-ridden economies. It uses discrete choice modeling and microsimulation techniques to evaluate the value of travel time and quantifies road blockage effects on fuel consumption, travel time, and carbon emissions. Data from central blockage locations in Rawalpindi and Islamabad reveal a value of travel time estimated at 1.77 USD/h, with income and gender significantly influencing mode choices during VIP movements. Moreover, road blockages exceeding two minutes substantially negatively impact the environment and economy, particularly in developing nations. Urgent action is needed for effective mitigation strategies and sustainable transportation policies to address the detrimental effects and promote alternative transportation modes. Recommendations include limiting VIP blockages to a maximum of two minutes and implementing policies to discourage private car usage. Despite limitations, the study emphasizes the critical role of sustainable transportation policies in enhancing the well-being of road users in developing nations. Full article

This study delves into the interplay between the Environmental, Social, and Governance (ESG) ratings and the debt costs incurred by Korean-listed companies, highlighting their pivotal significance in today’s corporate ecosystem. Our primary focus is to explore how the extent of media coverage moderates this relationship, thereby shedding light on the pivotal role that public scrutiny plays in shaping a company’s financial outcomes. Utilizing the Ordinary Least Squares (OLS) regression model, we rigorously control for industry and year effects, as well as firm-specific variations. Additionally, we conduct a series of supplementary analyses and robust tests to further strengthen the credibility of our findings. Our empirical analysis reveals that firms with poor ESG ratings, indicating corporate social irresponsibility, incur higher debt costs in the subsequent period. Notably, this adverse financial impact is significantly alleviated for companies that enjoy higher media coverage. This notable discovery underscores the potential of media scrutiny to reduce the financial burden imposed by inadequate ESG performance. Our results suggest that companies, especially those with limited media attention, should prioritize enhancing their ESG performance to mitigate potential financial implications. Overall, our research contributes to a more nuanced understanding of the intersection between corporate social responsibility, media coverage, and financial performance. Full article

States in the U.S. are newly implementing universal school meal (USM) policies, yet little is known about the facilitators of their success and the challenges they confront. This study evaluated the challenges and facilitators faced by school food authorities (SFAs) implementing California’s universal school meal (USM) policy during its inaugural year (2022–2023) using an online survey. In March 2023, 430 SFAs reported many benefits, including increased meal participation (64.2% of SFAs) and revenues (65.7%), reduced meal debt (41.8%) and stigma (30.9%), and improved meal quality (44.3%) and staff salaries (36.9%). Reported challenges include product/ingredient availability (80.9%), staffing shortages (77.0%), vendor/distributor logistics issues (75.9%), and administrative burden (74.9%). Top facilitators included state funding (78.2%) and increased federal reimbursement (77.2%). SFAs with fewer students eligible for free or reduced-price meals (as opposed to SFAs with more) reported greater increases in meal participation and reductions in stigma but also more administrative burdens. Larger SFAs reported greater increases in revenues, staff salaries, and improvements in meal quality than smaller SFAs but also more challenges. Overall, California’s USM policy has enhanced student access to healthy meals while mitigating social and financial barriers. Understanding California’s experience can inform other jurisdictions considering or implementing similar policies. Full article

This paper reveals the impact of environmental, social, and governance (ESG) scores on systematic and downside risks in the Russian stock market. We analyze the influence of a broad set of ESG factors controlling for stock liquidity, financial indicators of companies, and macroeconomic indicators. The period under consideration is from 2013 to 2021. The methodology of our research is based on regression analysis with multiplicative variables to reveal the changes induced by the COVID-19 pandemic. We obtain several novel results. Social responsibility is one of the most significant non-fundamental factors influencing both systematic and downside risks. The most important environment-related component is the measure of a company’s propensity to environmental innovations. Some dimensions of stock liquidity are also significant. For some factors, such as the COVID-19 pandemic and debt burden, we find an unexpected direction of influence on liquidity. Full article

Every facet of life, including health, social, and economic aspects, has undergone a tremendous transformation due to the COVID-19 pandemic. This condition is exacerbated by socioeconomic fragility and vulnerability amid economic uncertainty, with an enormous debt burden and inequality increasingly spreading to regions. Elements of society in Indonesia experience the problem of a lack of income and capital, in addition to vulnerability and helplessness. Social, economic, community–institutional, and resource vulnerabilities are inevitable; therefore, they must be identified, anticipated, and dealt with to avoid worsening. This research aims to identify the affected households and their economic resilience when facing the COVID-19 pandemic. A mixed approach with a sequential exploratory strategy was employed, whereby qualitative data were first collected and analyzed. Based on the findings of the first stage, quantitative data were obtained and examined in the second stage. This study was conducted in two rural locations with distinct characteristics: the Gunungkidul District on Java Island and the Bangkalan District on Madura Island. These findings demonstrate the economic resilience of households in Bangkalan and Gunungkidul. The factors that significantly influence economic resilience are household income, assets, and product availability in the market. Full article

This research compares the global debt trends in the aftermath of the COVID-19 pandemic, focusing on economies that frame the North and South divide. The research centers on debt ratios, which serve as indicators of countries’ ability to finance recovery and development projects. The study period runs from 2015 to 2022 and follows the IMF’s country classification, which divides the world into advanced economies (AE) and emerging market and developing economies (EMDE). The research employs panel data regressions to assess three key debt ratios—external debt to Gross Domestic Product (GDP), external debt to exports, and public debt to GDP—against various pandemic-related indicators and control variables. The analysis provides three major contributions. Firstly, an examination of external and public debt burdens is conducted, showing that escalated external and public debt burdens in EMDE contrast with increasing public debt in AE, primarily due to fiscal stimulus. Secondly, it is argued that the ongoing pandemic has intensified the widening economic gap between the North (AE) and the south (EMDE). Thirdly, a review is presented of both orthodox and heterodox policies identified in existing literature that are considered capable of mitigating external vulnerabilities in EMDE. Findings highlight the critical need for multifaceted measures to address debt vulnerability and promote sustainable economic recovery in a post-pandemic world. Full article

The COVID-19 pandemic presented significant challenges to university students. This study explores the financial conditions and borrowing behavior of university students during the pandemic in Bangladesh. The study used a sample of 840 students from major public universities in Bangladesh and applied bivariate analyses and mean comparison tests. The findings reveal that a substantial portion of the students experienced job loss and financial problems during the pandemic. Approximately 50% of the students had substantial loan burdens, 16.31% borrowed from formal institutions, and 39.17% borrowed multiple times. Furthermore, about 20% perceived borrowing costs as high, and most struggled to make regular installment payments. Analyzing the subgroups, women leaned more on family support for income, while men had independent income sources. Job loss affected a greater percentage of females than males. Females also borrowed more from formal sources, while more males perceived borrowing costs as negligible. In terms of urban and rural comparisons, rural students relied more on family support, while urban students had independent income sources. Financially literate students encountered more job loss and financial trouble and borrowed more from informal and low-cost sources compared to their less financially literate counterparts. The study suggests grants, subsidies, and reduced educational expenses for students who faced job loss, financial trouble, and burdensome debt. Full article

Public–private partnership (PPP) projects have the features of extended investment cycles, diminished returns, and high demand for technology. Inadequate utilization of these projects may result in an accumulation of new implicit debt for the government. Consequently, it becomes imperative for the government to manage and mitigate implicit debt risks associated with urban rail transit PPP projects, which is a crucial prerequisite for ensuring the progression of such projects and the unhindered functioning of the financial system. The objective of this study is to investigate the factors that influence government implicit debt risks in urban rail transit PPP projects from the perspective of policy. This study employs the grounded theory method to develop a comprehensive framework model that identifies the influencing factors of government implicit debt risk in urban rail transit public–private partnership (PPP) projects. The contributions of this study are twofold: (1) it highlights the role of policy as a significant determinant of implicit debt risks of urban rail PPP projects, which contain governmental subsidies, external environmental risk sharing, and supporting measures. Specifically, government subsidies directly contribute to the government’s implicit expenses, thereby impacting the level of implicit debt risks associated with urban rail transit PPP projects. Supporting measures exert an indirect influence on the implicit debt risks of the government, thereby imposing a significant burden on local fiscal expenditure. External environmental risk sharing, as an external factor, leads to an increase in fiscal expenditure due to the government’s social responsibility; and (2) it provides a qualitative method that examines the government implicit risk factors associated with urban rail trait PPP projects based on grounded theory. The model that examines the influencing factors of government implicit debt risk in urban rail transit PPP projects adopts a policy perspective, which can inform policymakers on a heretofore unexplored adverse effect of guarantee policy. Full article

This paper aims to provide a retrospective assessment of Ukraine’s state policy concerning state-owned banks and evaluate their impact on the sustainability of Ukraine’s public finances. The research methodology employs an empirical study of the cash flow of public funds to state-owned banks and the reverse cash flow to determine the impact of the activity and stability of public finances. The cash flow to state-owned banks includes the expenditure of public funds for the creation of authorised capital during the establishment of state-owned banks, the acquisition of shares in operating commercial banks, additional capitalisation of state-owned banks, etc. The reverse cash flow comprises dividends paid based on the performance of state-owned banks, as well as revenue generated for public funds through the sale of shares (privatisation) of state-owned banks. This study highlights the costs associated with recapitalising state-owned banks. These costs disrupt the stability of public finances, create additional debt dependency for Ukraine, impose an additional burden on public finances, and lead to structural changes that reduce funding for social spending. As a result, Ukrainian taxpayers are financing the inefficient activities of state-owned banks while experiencing reduced investments in education, healthcare, social protection, environmental protection, and other essential areas. Full article

The problem of corporate debt is a hidden danger to China’s economic growth and financial stability. This paper studies the effect of regional marketization on the debt burden of the local enterprises based on a fixed effects model. The result demonstrates that the higher the market-oriented degree, the lower the debt burden of the enterprises in that region. Further analysis demonstrates that the improvement of marketization not only directly reduces the enterprise debt, but also reduces debt burden by increasing the enterprise productivity and promoting the enterprise property rights reform. Improving the level of regional marketization is conducive to the enterprise debt issue, and this provides some suggestions to the policy makers. Full article

Tax reduction policies can promote economic development, employment, and social equity in the short term. Especially during economic downturns, their effects are even more pronounced. Following the massive tax cuts amounting to 4 trillion yuan in China in 2022, the government work report for 2023 has revealed that tax reduction will continue to be the central theme of fiscal policies. However, amidst a backdrop of economic growth slowdown, China is facing objective challenges such as sluggish growth in fiscal revenues, rising inflexibility in fiscal expenditures, mounting debt burdens, and fiscal imbalances among regions, which pose severe threats to fiscal sustainability. This paper selects panel data from 30 provinces in China from 2009 to 2019. Controlling for provincial and year fixed effects, FGLS method is used to empirically test the impact of tax reduction policies on fiscal sustainability. The results indicate that tax reduction significantly undermines fiscal sustainability, which exhibits a certain degree of persistence. Heterogeneity tests reveal that tax reduction policies have more pronounced inhibitory effects on fiscal sustainability in western regions, regions with lower proportions of the tertiary industry, and regions with higher levels of fiscal decentralization. Further analysis demonstrates that tax reduction primarily impacts local fiscal sustainability through two channels: stimulating enterprise production and distorting local government behavior. Based on these findings, our study proposes the need to moderate the pace of overall tax reduction policies in China, implement tax reduction policies with varying intensities tailored to regional characteristics, and promote tax reduction policy dividends as well as reduce policy costs to enhance fiscal sustainability. Full article