Search Results (140)

The ability of the agriculture sector, which is exposed to climate hazards, to cope with climate challenges and to strive in spite of them, is conceptualized as the resilience of agriculture. In enhancing climate-resilient agriculture, the cash reserve ratio (CRR) is generally perceived to serve two crucial functions: first, encouraging banks to allocate credit to agriculturalists for climate-resilient agricultural practices; second, enhancing agriculturalists’ ability to sustain agricultural output growth in spite of climate crises. In light of this, we conducted an ex post evaluation of the effect of the currently in-use CRR on bank loans to climate-challenged Nigeria’s agriculture sector for climate-resilient agricultural practices. Additionally, this study investigates the CRR’s impact(s) on agricultural output growth amidst climate challenges. Other additional independent variables include monetary policy rate, government capital expenditures on agriculture, and government recurrent expenditures on agriculture, as well as temperature, precipitation, and the renewable energy supply. Using annual data from 1990 to 2022, the results from an autoregressive, distributed lag approach suggest that the standard CRR stipulated by the Central Bank of Nigeria in the present era of climate change cannot entirely sustain climate-resilient agriculture, evident in the present study’s discoveries on its inability to perform its two major functions (credit and growth) in enhancing agricultural resilience. These findings highlight the need for the green differentiation of the CRR to ensure its effective utilization in enhancing climate resilience. Full article

This study aims to analyze the determinants of bank profitability in Angola by employing panel data econometric models, specifically, the Generalized Method of Moments (GMM), to assess the impact of internal and external factors on the financial indicators ROE, ROA, and NIM for the period 2016 to 2023. The results reveal that credit risk, operational efficiency, and liquidity are critical determinants of banking performance. Effective credit risk management and cost optimization are essential for the sector’s stability. Banking concentration presents mixed effects, enhancing net interest income while potentially undermining efficiency. Economic growth supports profitability, whereas inflation exerts a negative influence. The COVID-19 pandemic worsened asset quality, increased credit risk, and led to a rise in non-performing loans and provisions. Reforms implemented by the National Bank of Angola have contributed to strengthening the banking system’s resilience through restructuring and regulatory improvements. The rise of digitalization and fintech presents opportunities to enhance financial inclusion and efficiency, although their success relies on advancing financial literacy. This study contributes to the literature by providing updated empirical evidence on the factors influencing bank profitability within an emerging economy’s distinctive institutional and economic context. Full article

The real estate market significantly influences individual lives, corporate decisions, and national economic sustainability. Therefore, constructing a data-driven, interpretable real estate market prediction model is essential. It can clarify each factor’s role in housing prices and transactions, offering a scientific basis for market regulation and enterprise investment decisions. This study comprehensively measures the evolution trends of the real estate markets in Beijing, Shanghai, Guangzhou, and Shenzhen, China, from 2003 to 2022 through three dimensions. Then, various machine learning methods and interpretability methods like SHAP values are used to explore the impact of supply, demand, policies, and expectations on the real estate market of China’s first-tier cities. The results reveal the following: (1) In terms of commercial housing sales area, adequate housing supply, robust medical services, and high population density boost the sales area, while demand for small units reflects buyers’ balance between affordability and education. (2) In terms of commercial housing average sales price, growth is driven by education investment, population density, and income, with loan interest rates serving as a stabilizing tool. (3) In terms of commercial housing sales amount, educational expenditure, general public budget expenditure, and real estate development investment amount drive revenue, while the five-year loan benchmark interest rate is the primary inhibitory factor. These findings highlight the divergent impacts of supply, demand, policy, and expectation factors across different market dimensions, offering critical insights for enterprise investment strategies. Full article

Over the past decade, the rapid growth of supply chain finance (SCF) in developing countries has made it a key profit driver for commercial banks and financial firms. In parallel, financial risk control in SCF has attracted more and more attention from financial service providers and has gained research momentum in recent years. This study analyzes the contagion mechanism of SCF-related risks faced by commercial banks through examining SCF network topology. First, this study uses complex network theory to integrate an SEIR epidemic model (Susceptible–Exposed–Infectious–Recovered) into financial risk management. The model simulates how financial risks spread in supply chain finance (SCF) under banks’ strategic, tactical, or operational interventions. Then, some key points for financial risk control from the perspective of commercial banks are obtained by investigating the risk stability threshold of the financial network of SCF and its stability. Numerical simulations show that effective interventions—such as strengthening loan guarantees to reduce the number of exposed firms—significantly curb risk transmission by restricting its scope and shortening its duration. This research provides commercial banks with a quantitative framework to analyze risk propagation and actionable strategies to optimize SCF risk control, enhancing financial system stability and offering practical guidance for preventing systemic risks. Full article

This study explores how geographical factors shape El Salvador’s banking sector, particularly focusing on regional disparities, urbanization, and vulnerability to natural disasters affecting access to financial services. By employing a mixed-methods approach that combines quantitative data and qualitative interviews, the research analyzes how these geographical challenges impact financial inclusion and banking development. Data from the Central Reserve Bank of El Salvador and financial institutions is examined alongside Geographic Information Systems (GISs) to illustrate the spatial distribution of banking services. Interviews with stakeholders, including bank representatives and clients from urban and rural areas, reveal a significant urban–rural divide, with approximately 75% of bank branches and 80% of ATMs situated in urban centers, particularly in San Salvador. Rural areas face limited access to formal banking due to challenging topography and inadequate infrastructure, leading to increased financial exclusion and reliance on informal systems. Natural disasters further disrupt banking infrastructure and heighten the need for emergency loans. While urbanization has spurred financial growth, it has also resulted in informal settlements with restricted access to formal services. As its main contribution, this study provides one of the first in-depth, geographically grounded analyses of financial exclusion in El Salvador, offering original insights into how spatial inequalities and disaster vulnerability intersect to shape banking access and economic participation. The study calls for a more inclusive banking sector, recommending mobile and digital banking expansion, agent banking in underserved areas, and improved disaster risk management to enhance economic participation across all regions. Full article

Stock returns are a critical aspect of investment decisions, and understanding whether climate change commitment influences stock returns is essential for informed decision-making. This paper investigates the impact of climate change commitment on the stock returns in the GCC countries for non-financial companies during the period of 2010–2023. The sample consisted of a total of 285 companies collected using the Refinitiv Eikon platform. The developed model was estimated using panel GMM regression. The results suggested that when companies reported their climate change commitment, it was appreciated by high demand for their stock and in turn caused the stock return to be higher. In addition, profitability and growth affect stock returns significantly positively, and this implies that investors concentrate on whether the company has higher profits and better growth prospects to demand more shares, and this affects the share prices positively. In addition, the size of a company has been found to affect the stock return positively, and this suggests that investors in the GCC feel confident in demanding the shares of large companies. Moreover, the results showed that leverage significantly negatively affects stock return, and this implies that investors interpret the position of highly leveraged companies to be bad due to worries that companies will not be able to service their loans. Such results might help investors to formulate their investment strategies and select their shares based on significant determinants. Finally, our results hold based on the reported robustness of results. Full article

Globally, financial inclusion is regarded as being crucial for balancing an economy’s financial system. However, despite the significance of financial inclusion, it still needs to be clarified to identify what factors are responsible for the diverse trend of financial inclusion in the forty-five Sub-Saharan Africa (SSA) countries from 1999 to 2024. The main rationale of the study empirically investigated these determinants of financial inclusion in forty-five Sub-Saharan Africa (SSA) countries from 1999 to 2024, which covers three distinct periods: which is the pre-COVID, 2020–2022 is the COVID period, and the post-COVID period from 2023 onward, but examined as a whole from 1999 to 2024 for easy policy formulation for SSA countries. The study was anchored on two main research objectives: firstly, to examine the factors influencing financial inclusion in Sub-Saharan Africa (SSA) in these three distinct periods, and lastly, to present the policy implications of the result of these factors in enhancing financial inclusion in the post-COVID era in SSA. The study used the Panel Least Squares (PLS) technique in the data analysis. The result revealed that economic growth (GRO), Islamic banking (ISMAIC), money supply (MSS), internet users (USERS), and credit availability (CREDIT) positively and significantly enhance financial inclusion with coefficients of 0.001298, 4.926809, 1.08 × 10⁻⁶, 0.459388, and 0.657431, respectively, with significant p-values of 0.0008, 0.0023, 0.0000, 0.0000, and 0.000, respectively. On the flip side, internet servers (SERVER) have a negative coefficient value of 4.63 × 10⁻⁶ with a p-value of 0.000. Though inflation (INFL) and interest rate (INT.) have negative coefficient values of −0.02853 and −0.08317, they have insignificant p-value impacts of 0.2841 and 0.2501, respectively. The result indicates that many of the variables have a significant impact on financial inclusion. This is shown from the probabilities of the t statistics of each of the independent variables in the estimated model, which are significant at the 5% level. The policy implications of these results include the following: firstly, SSA governments should promote economic growth through investment in productive sectors, infrastructure development, and job creation programs to indirectly improve financial inclusion. Secondly, SSA countries’ policymakers should maintain price stability through sound monetary and fiscal policies to ensure inflation does not hinder access to financial services. Thirdly, SSA countries’ governments and central banks should promote lower interest rates and enhance credit accessibility, especially for marginalized groups, through subsidized loans and targeted credit schemes. Fourthly, policymakers should support the expansion of Islamic finance by improving regulatory frameworks and increasing awareness about Sharia-compliant financial products. Full article

Pakistan’s banking sector faces a critical juncture as rising competition intersects with uneven efficiency, jeopardizing financial stability. This study employs a two-stage empirical framework: (1) evaluating cost-efficiency (CE) evolution via a novel stochastic frontier analysis (SFA) framework incorporating desirable and undesirable outputs (e.g., nonperforming loans) and (2) assessing competition’s impact using a novel multi-product Lerner index across loan, deposit, and asset markets, analyzed via a two-step dynamic panel data system generalized method of moments. The first stage reveals an average CE of 81%, with significant ownership-based disparities. The second stage shows that market power enhances CE overall, supporting the banking-specificity hypothesis, suggesting that regulators balance competition with operational scale benefits. However, market power exhibits duality such as elevating CE in high-efficiency quartile banks but reducing it in low-efficiency quartile ones, confirming the efficient structure hypothesis. This highlights the need for policies promoting efficiency-driven consolidation and addressing structural bottlenecks in underperforming banks. Bank-specific and macroeconomic factors also significantly influence CE. The findings offer a policy roadmap to cultivate a competitive, efficient banking ecosystem, fostering sustainable economic growth. Full article

This study examines the relationship between banking sector development (credit and deposits) and economic growth in Ecuador, using quarterly data for the period 2000–2022. An ARDL approach with Bound Test cointegration is employed, incorporating structural breaks using the Bai–Perron test and controlling for macroeconomic shocks. In addition, time transformation methodologies are applied to harmonize the frequency of the series: the monthlyization of GDP is performed using the Chow-Lin method, and the imputation of missing unemployment data using the Kalman filter. The results reveal a significant long-run elasticity between bank deposits and GDP (0.45%), while credits do not present a statistically significant effect, possibly due to high delinquency and institutional weakness. Granger causality tests confirm a unidirectional relationship between banking variables to economic growth. These findings highlight the importance of strengthening financial supervision and improving institutional quality to enhance the effect of bank intermediation. The study provides robust and contextualized empirical evidence relevant to resource-dependent economies with concentrated financial systems, contributing to the debate on the relationship between finance and growth in developing countries. Full article

We investigated the impact of sustainable banking practices on bank stability in the Nigerian banking sector. We focused on data from 2012 to 2022, which were extracted from the balance sheets of deposit money banks in Nigeria. We employed the Dynamic Ordinary Least Squares (DOLS) estimator with E-Views to analyze the data. Our findings show that environmental emissions and waste reduction have minimal effects on bank assets, capital adequacy, and liquidity, though they do not directly cause financial instability. Investments in environmental innovation reduce asset growth and increase liquidity constraints but lower non-performing loans, emphasizing a trade-off between sustainability and stability. Environmental resource use efficiency remains neutral regarding asset stability and capital adequacy but poses liquidity challenges. Social welfare investments have little impact on asset growth and profitability, potentially reducing financial stability. Human resource development improves capital adequacy and liquidity strengthening bank stability, while community investments aid societal growth but create liquidity pressures. Macroeconomic factors like GDP growth and inflation are significant, yet economic growth does not always increase bank assets, whereas inflation increases non-performing loans. Sustainable banking in Nigeria is evolving; therefore, there is a need for robust regulation, financial incentives for compliance, a high level of awareness, and alignment between banking operations and sustainability principles. Full article

Several studies have investigated the determinants of firms’ capital structure choices. Though an intercorporate loan is an essential source of corporate debt, there are no studies that examine the determinants of firms’ preference to use the intercorporate loan as a source of debt. This study examines the relevance of the conventional capital structure determinants in explaining firms’ tendency to use intercorporate loans. The study is based on a dataset of 53,112 firm-year observations comprising 3739 non-financial listed Indian firms for 21 years from 2002 to 2022. The random effect logistic regression model is used to investigate the objectives. The conventional capital structure determinants are relevant in explaining firms’ decisions to use intercorporate loans. Firm size, asset tangibility, and earnings volatility favorably influence the tendency to use intercorporate loans, whereas profitability, growth, uniqueness, dividend payment, ownership concentration, and foreign promoter holdings adversely affect the same. The results reveal that the influence of firm size, uniqueness, earnings volatility, and ownership concentration are not unidirectional for group-affiliated and standalone firms. The findings are mostly consistent with the arguments of conventional capital structure theories. The results of this study will be pragmatic for financial managers in their capital structure decisions. Full article

This study analyzes Turkey’s development toward a green economy between 1990 and 2022 within the framework of certain green economic indicators. The data consist of secondary data from the official databases of the World Bank and the Turkish Statistical Institute (TURKSTAT). In the study, the total amount of carbon emissions was chosen as an indicator of green growth, while gross domestic product per capita (GDP) represents economic growth, domestic loans granted by banks to the private sector (as a percentage of GDP) and foreign direct investment represent financial development, and electricity generation represents pollution. To determine whether the variables are cointegrated and to determine the direction and strength of the relationship between the variables, the ARDL bounds test and the FMOLS and DOLS long-run estimators were used. Finally, Toda Yamamoto (TY)–Granger tests were performed to determine causality. The long-term relationship between the variables was confirmed by the results of the ARDL bounds test. The error correction coefficient (CointEq(−1)) was estimated to be statistically significant and negative (−0.757) when the short-term analysis was performed. This result shows that the short-term imbalances will be corrected in less than a year, and the system will approach the long-term equilibrium. In the long-term analysis of the model, all variables selected to explain the dependent variable were found to have a statistically significant impact on the dependent variable. The GDP per capita variable, the indicator of economic growth, has a negative effect on the dependent variable, while the other independent variables have a positive effect. The results of the causality analysis indicate that the dependent variable carbon emissions (CO₂) has a unidirectional causality relationship with domestic credit provided to the private sector by banks (DC), which represents financial development, and with total electricity production (EP), which serves as an indicator of pollutants. Full article

This study explores the determinants of CEO compensation in the banking sector, focusing on cross-listing and loan growth. Using 8800 observations from 45 countries spanning 2004 to 2018, the analysis reveals significant differences in compensation structures between developed and developing economies. The findings show that CEO stock options and restricted stock compensation are positively correlated with cross-listing in the U.S. market, with a stronger effect in developing countries. Loan growth is associated with higher incentive-based pay but lower fixed salaries, aligning CEO compensation with performance-driven growth and risk management. These results underscore the role of regulatory environments and institutional quality in shaping executive pay, offering valuable insights for policymakers, financial institutions, and investors navigating a globalized banking sector. Full article

Household debt plays a crucial role in influencing the performance of the economy and its vulnerability to shocks. This study synthesises studies on this topic. We used the systematic literature review technique to analyse 97 studies from the EBSCO, Google Scholars, Sabinet African Journals, SAGE, ScienceDirect, Scopus, Springer Link, Taylor and Francis, and Web of Science databases from 2004 to 2024. The results reveal that country-level and household-specific factors are important in explaining debt. We delineate supply-side and demand factors that drive debt. Country-level factors that explain indebtedness include housing prices, unemployment, economic growth, interest rates, inflation, and income levels. At the household level, factors such as education level, behaviour, social status, employment, house prices, income, family size, occupation, wealth, and marital status explain indebtedness. Policies impact loan types differently; therefore, due consideration should be taken and prescriptions should aim to address both supply and demand factors. Future studies should rely on AI-driven methods and techniques that utilise natural language processing capabilities such as sentiment analysis in order to handle large data sets and ensure objectivity. Full article

Access to credit is essential for transforming South Africa’s agricultural sector, particularly in enhancing value chain sustainability. This study investigated the role of credit access in supporting smallholder farmers’ value chain sustainability, as part of a broader project focused on developing a credit risk model for South African farmers. Data were collected from 223 SAFDA farmers in KwaZulu-Natal and Mpumalanga using a structured questionnaire. The average treatment effects (ATEs) of a propensity score matching (PSM) model was used to estimate the impacts of credit on the following four key variables: farm ownership, farm size, farm income, and farm assets. The results showed that farm ownership was associated with credit access, as ownership provided 1.84 times the chances of loan approval. Additionally, farm income increased by ZAR 2,849,398 for credit recipients compared to non-recipients. This income boost enhances market linkages and food value chain sustainability. This study rejects the hypothesis that credit access has no impact on smallholder farmers, highlighting its vital role in promoting agricultural development and value chain growth. It is recommended that policymakers enhance credit access and risk mitigation strategies to further support smallholder farmers. To improve access to credit for smallholder farmers in South Africa, we recommend the following measures: (1) establishing credit guarantee schemes in partnership with financial institutions to reduce lending risks; and (2) implementing financial education programs for smallholder farmers to enhance their debt management skills. Credit access has the potential to promote positive change across economic, social, and environmental aspects, improving not only the livelihoods of smallholder farmers but also contributing to broader sustainable development goals. Full article