The impact of digital transformation of commercial banks on household income: Evidence from China.

Scholars have focused on the digital transformation of commercial banks, yet there remains a lack of systematic and integrative research at the micro-level of household finance. This article uses data from the China Household Finance Survey (CHFS) and the Digital Transformation Index of Chinese Commercial Banks from Peking University. It employs empirical methods such as mechanism analysis and heterogeneity analysis to explore the impact of the digital transformation of commercial banks on household income. The findings indicate that the digital transformation of commercial banks significantly enhances household income. Second, increasing credit availability, fostering the development of digital inclusive finance, enhancing entrepreneurial possibilities, and increasing the purchase of wealth management products are key pathways through which digital transformation affects household income. Third, heterogeneity analysis reveals that the positive effects of digital transformation on household income are more pronounced in the central and western regions, areas with lower financial industry competition, regions with underdeveloped inclusive finance, rural areas, and among low-income families. This study highlights the significant role that the digital transformation of commercial banks plays in enhancing the welfare of the resident sector.

The impact of liquidity risk and credit risk on bank profitability during COVID-19.

The COVID-19 outbreak caused a massive setback to the stability of financial system due to emergence of several other risks with COVID, which significantly influenced the continuity of profitable banking operations. Therefore, this study aims to see that how differently the liquidity risk and credit risk influenced the banking profitability during Covid-19 (Q12020 to Q42021) than before COVID (Q12018 to Q42019). The study employs pooled OLS, and OLS fixed & random effects models, to analyze the panel data on a sample of 37 banks currently operating in Pakistan. The results depict that liquidity risk has a positive and significant relationship with return on assets and return on equity, but insignificant relationship with net interest margin. Credit risk has a negative and significant relationship with return on assets, return on equity, and net interest margin. The study also applies quantile regression to address the normality issue in data. The quantile regression results are consistent with pooled OLS, and OLS fixed and random effects results. The study makes valuable suggestions for regulators, policymakers, and others users of financial institutional data. The current study will help to set policies for efficient management of LR and CR.

Prevalence of Hypertension, Its Risk Factors and 10-year Cardiovascular Disease Risk among Bank Employees in Lagos State, Nigeria.

BACKGROUND: Hypertension is a significant global public health concern, with unique risk factors affecting those in the banking sector due to their work environment. This study aimed to determine the prevalence of hypertension among bank employees and identify specific contributing risk factors. MATERIALS AND METHODS: A cross-sectional survey of 250 bank employees used pretested structured questionnaires. Various measurements, including body mass index (BMI), blood pressure, lipid profile parameters and cardiovascular events, were recorded. Data were analysed using SPSS software. Categorical variables are presented as frequencies and percentages. Binary logistic regression was employed to identify independent predictors of hypertension (P < 0.05). RESULTS: The study participants had a mean age of 37.56 ± 8.98, with 54.5% being female. The majority (98.8%) had tertiary education, and 94.7% resided in urban areas. The prevalence of hypertension was 33.3%. Higher BMI is significantly associated with increased odds of hypertension. For each unit increase in BMI, the odds of having hypertension are approximately 1.98 times higher. Hypertension was also significantly more prevalent in those participants with prior hypertension diagnosis, those with a family history of hypertension, smokers and those who added salt to their food on the table (P < 0.05). CONCLUSION: The alarmingly high prevalence of hypertension underscores the need for targeted intervention and health promotion initiatives. With recognised risk factors, emphasis must be placed on the importance of lifestyle modifications and workplace wellness programmes to mitigate the burden of hypertension.

The impact of digital financial inclusion on bank performance: An exploration of mechanisms of action and heterogeneity.

The use of digital technology by banks and other financial institutions to facilitate financial inclusion is referred to as digital financial inclusion. This fusion of digital finance and traditional banking methods has the potential to impact banks' operational effectiveness. This study uses the panel effects model to examine the link between digital financial inclusion and bank performance in 30 Chinese provinces from 2012 to 2021. This research uses kernel density estimation to examine the spatial-temporal growth patterns of both variables. The mediator variable in examining how digital financial inclusion affects bank performance is risk-taking. Finally, the paper analyses the regional heterogeneity of the impact. It presents the following conclusions: (1) In China, digital financial inclusion and bank performance have constantly increased, with noticeable regional variances in their development levels. This regional inequality has widened gradually since 2018, yet it has not resulted in polarization. (2) The significant positive correlation between digital inclusive finance and banking performance indicates that banking performance tends to increase with the enhancement of digital inclusive finance. (3) Digital financial inclusion impacts bank performance, with risk-taking as a moderator. The spread of digital financial inclusion services enhances banks' willingness to take risks, enhancing overall efficiency. (4) Digital financial inclusion boosts bank performance in the Northwest, South, North, and East regions while lightly inhibiting it in the Central region. Based on the findings, this study makes bank and government suggestions.

Uncertainty in banking and debt financing of firms in Vietnam.

This study explores the effects of banking uncertainty on firms' debt financing. Employing data from 2007 to 2022 of Vietnam-a bank-based economy, we document that banking uncertainty negatively impacts corporate debt. The impact firmly holds across various debt maturities and sources, with the most predominant driver witnessed in bank debt. We also investigate the potential underlying mechanism linking banking uncertainty to debt financing, thereby validating the working of three crucial channels, including increased costs of debt, substitution of trade credit, and contractions in firm investment. Furthermore, conducting extended analysis, we find that debt financing exhibits more pronounced reactions to banking uncertainty for firms with closer ties to banks or during macroeconomic shocks, as captured by the financial crisis and the COVID-19 pandemic. Our findings survive after robustness checks by alternative measurement, static and dynamic econometric models, and endogeneity controls.

Systemic risk spillover between the stock market and banking deposits: Evidence from a sustainability perspective in the South Asian countries.

This research explores the link between stock markets and banking deposits in South Asian (Pakistan, India, Sri Lanka, Nepal) countries. This study empirically examines the systemic risk potential of financial institutions in South Asia using current systemic risk statistics. Yearly data on stock prices and banking deposits from January 2000 to December 2020 were analyzed using a two-stage process. In the first phase, we measure VaR (value at risk), and in the second step, we measure the DCC GARCH model for our empirical analysis. The study findings reveal systemic risk spillover between the stock markets of South Asian countries and the relevant country's banking system deposits. The policymakers can use our study findings to create a more sustainable financial sector.

Cushion hypothesis and credit risk: Islamic versus conventional banks from the MENA region.

Conventional banks are 'indirectly' allowed to take more risk under the shadow of sovereign guarantees. Banks commit moral hazards as any major banking crisis will be 'cushioned' by deposit insurance and bailed out using the taxpayer's money. This study offers an alternative explanation for the determinants of banks' credit risk, particularly those from the Islamic regions. Although conventional banks and Islamic banks may share state and social cushioning systems, Islamic banks are strictly prohibited by moral and religious principles from gambling with depositors' funds, even if there is a cushion available to bail them out. However, banks belonging to collective societies, such as those in the MENA area, may be inclined to take more risks due to the perception of having a larger safety net to protect them in the event of failure. We analyse these theoretical intersections by utilising a dataset consisting of 320 banks from 20 countries, covering the time span from 2006 to 2021. Our analysis employs a combination of Ordinary Least Squares (OLS), Fixed Effects (FE), and 2-step System-GMM methodologies. Our analysis reveals that Islamic banks are less exposed to credit risk compared to conventional banks. We contend that the stricter ethical and moral ground and multi-layer monitoring system amid protracted geopolitical and post-pandemic crises impacting Islamic countries contribute to the lower credit risk. We examine the consequences for credit and liquidity management in Islamic banks and the risk management strategies employed by Islamic banks, which can serve as a valuable reference for other banks.

The mediating role of stakeholders on green banking practices and bank's performance: The case of a developing nation.

The banking sector serves as a nudge between increased financial investments and reduced environmental impacts in the modern era of sustainability thus, integrating the social, environmental, and economic dimensions. This paper aims to explore the practices and ongoing activities on account of sustainable banking which is being practised in the Pakistani Banking Sector. A mixed methods approach using a survey with a sample size of (n = 250) and in-depth interviews of (n = 25) provides significant evidence for the research. SmartPLS4.0 was used for hypotheses testing and to ascertain the path coefficient association within the constructs. This research fills the gap in existing literature by testing and implying the mediating role of Stakeholders' Influence on the relationship between Green Banking Practices and the Bank's Performance. The results of the quantitative analysis show a positive association between variables, highlighting the role of stakeholders and their need to partake efficiently, in the countrywide execution of green banking. The qualitative analysis portrays that; green banking is currently the partial focus of the banking sector in the developing economy of Pakistan whereas, approaches like financing green projects, investments in renewable energy, in-house greening of the banking sector, and provision of easy lending facilities to encourage and support environmental initiatives are some commonly practised accomplishments of the banking sector.

Computer vision syndrome and ergonomic risk factors among workers of the Commercial Bank of Ethiopia in Addis Ababa, Ethiopia: an institutional-based cross-sectional study.

Background: Computer vision syndrome (CVS) is the most pressing public health concern that affects vision and reduces quality of life and productivity, particularly in developing countries. Most of the previous studies conducted in Ethiopia focus on the knowledge and personal risk factors of bank workers. Moreover, ergonomic workstation design was not objectively assessed, which could hinder the implementation of effective intervention strategies. Therefore, this study aimed to determine CVS and ergonomic factors among commercial bank workers in Addis Ababa, Ethiopia. Methods: An institutional-based cross-sectional study was carried out among 466 study participants from May 26 to July 24, 2022. A multistage sampling technique was applied to select the study participants. Data were collected via a standardized tool of CVS (CVS-Q). Besides, workstation ergonomics were pertinently assessed. The collected data was entered into EpiData version 3.1 and exported to SPSS version 26 for data analysis and cleaning. Multivariable logistics regression analysis was performed to identify factors associated with CVS. The variables with a p-value < 0.05 were considered statistically significant factors. Results: Prevalence of CVS was 75.3% (95% CI: 71.2-79.2%). Blurred vision, eye redness, and headache, 59.8%, 53.7%, and 50.7%, respectively, were frequently reported symptoms. Glare (AOR = 4.45: 95% CI: 2.45-8.08), 20-20-20 principle (AOR = 1.98, 95% CI: 1.06-3.67), wearing non-prescription eyeglasses (AOR = 4.17; 95% CI: 1.92-9.06), and poor workstation (AOR = 7.39; 95% CI: 4.05-13.49) was significantly associated with CVS. Conclusion: The prevalence of CVS was found to be high. Glare at work, ignoring the 20-20-20 principle, wearing non-prescription eyeglasses, and poor workstation ergonomic design were independent predictors of CVS. Therefore, comprehensive interventional activities like adhering to the 20-20-20 principle, avoiding the use of non-prescription glasses, minimizing glare, and improving workstation ergonomic setup are essential to prevent CVS.

Measurement of efficiency and its drivers in the Chilean banking industry.

This paper estimates efficiency measures for the banking system in Chile for the period 2000-2019. In contrast to previous studies, we use input-distance functions, introduce the nonparametric slack-based model, and choose the intermediate inputs approach in determining inputs and outputs. Our results suggest that the Chilean system has achieved relatively high levels of efficiency, although with no significant variation over the sample period. Ownership (government, foreign and public) and size had a positive impact on efficiency. On average, mergers and acquisitions seem to have targeted highly efficient banks in order to improve the overall efficiency of the controlling institution in the short run. Other sources of efficiency gains could be an increase in bond funding or a reduction in expenses and capital holdings. The latter could be induced by deepening the local derivatives market.

Prediction of robo-advisory acceptance in banking services using tree-based algorithms.

The banking sector is increasingly recognising the need to implement robo-advisory. The introduction of this service may lead to increased efficiency of banks, improved quality of customer service, and a strengthened image of banks as innovative institutions. Robo-advisory uses data relating to customers, their behaviors and preferences obtained by banks from various communication channels. In the research carried out in the work, an attempt was made to obtain an answer to the question whether the data collected by banks can also be used to determine the degree of consumer interest in this type of service. This is important because the identification of customers interested in the service will allow banks to direct a properly prepared message to a selected group of addressees, increasing the effectiveness of their promotional activities. The aim of the article is to construct and examine the effectiveness of predictive models of consumer acceptance of robo-advisory services provided by banks. Based on the authors' survey on the use of artificial intelligence technology in the banking sector in Poland, in this article we construct tree-based models to predict customers' attitudes towards using robo-advisory in banking services using, as predictors, their socio-demographic characteristics, behaviours and attitudes towards modern digital technologies, experience in using banking services, as well as trust towards banks. In our study, we use selected machine learning algorithms, including a decision tree and several tree-based ensemble models. We showed that constructed models allow to effectively predict consumer acceptance of robo-advisory services.

The CSR perspective: Interplay of technological innovation, ethical leadership and government regulations for sustainable financial performance.

The financial performance of Chinese public and private sector banks is changing over time. There is no stability in the financial performance of Chinese banks which hurts businesses and the market. The purpose of current research was to determine the influence of corporate social responsibility (CSR) on driving the sustainable financial performance of Chinese banks. From methodological perspective, data was collected from 329 banking sector employees from China to partial least square-structural equation model (PLS-SEM) is employed for data analysis. The research used SPSS 24 and Smart PLS 4 as statistical analysis tools. This research confirmed that achieving sustainability in financial performance for Chinese banks can be achieved with CSR influenced by technological innovation, ethical leadership, and government regulations. This research has statistically confirmed that transformational leadership leading to CSR with technological innovation, ethical leadership, and government regulations can make significant improvements in financial performance. The framework developed by current research is a novel contribution to the literature. The findings of this research improve the literature on the banking sector and advanced performance. Furthermore, this research has highlighted significant ways that can help the banking sector employees to improve their financial performance with sustainability.

Assessing financial inclusion co-movement with low-carbon development index: implications for regional development.

This study assesses the relationship between financial inclusion and low-carbon development and its implications for regional development. Data envelopment analysis (DEA) is used to analyse data from a sample of E7 countries from 2001 to 2020. Results show that financial inclusion and low-carbon development are significantly related, indicating that financial inclusion is a significant driver of low-carbon development. Additionally, regional differences between E7 countries in financial inclusion and low-carbon development are identified, highlighting the need for region-specific policies to promote sustainable development. Moreover, findings show that deposits, bank accounts, and ATMs of all E7 economies contribute to environmental and economic growth inputs. The findings have important implications. Therefore, encouraging low-carbon growth via increased financial inclusion may be successful. Access to financial services, financial literacy, and financial innovation are all areas where policymakers might do more to advance the cause of financial inclusion. Accounting for variations in financial inclusion and low-carbon development between regions is important when crafting policies to encourage sustainable development. The economic climate, cultural norms, and institutional structures of a given area must all be considered by policymakers if they are to craft plans that will be successful.

Fintech and investment risk of digital finance: mediating role of clean energy and green bonds through the dynamics of spill over.

This study examines how financial technology (FinTech) and green bonds have affected the ability of firms to finance energy efficiency measures by using data obtained from a subset of Chinese companies listed on the A-share market between 2011 and 2021. We apply the quantile-on-quantile method, which allows us to examine the interdependence of time series in each economy separately and yields data on the global and national levels indicating the relationship between the variables. The results show that an increase in both direct and indirect financing for businesses, as well as inter-bank competition, can greatly mitigate the financial limitations that firms suffer as a result of FinTech expansion. Our estimates show that the energy efficiency of the countries we chose improves when they are financed with green bonds across all quantiles of the data. Organizations not owned by the state, SMBs, and the more rapidly developing eastern half of China promise to benefit the most from the moderating effect of FinTech because of the faster pace of development there. The immediate ameliorating effect that financial technology has on reduced lending criteria mostly benefits businesses with either a strong innovation rate or a poor social responsibility performance rate. This is because businesses sharing either of these features are more likely to experiment and develop new products. Both theoretical and practical repercussions of this finding are explored.

The impact of bank's engagement in shadow banking activities on bank's sustainability: Evidence from Chinese commercial banks.

The economic and environmental consequences of bad banking practices have aroused much attention. In China, banks are at the center of shadow banking activities through which they avoid regulation and support environmentally unfriendly businesses such as fossil fuel companies and other high-pollution enterprises. In this paper, we study the impact of bank's engagement in shadow banking activities on its sustainability by using annual panel data of Chinese commercial banks. The result shows that bank's engagement in shadow banking activities has a negative impact on its sustainability and the negative impact of bank's engagement in shadow banking activities is more pronounced for city commercial banks and unlisted banks which are less regulated and lack corporate social responsibility (CSR). Furthermore, we explore the underlying mechanism of our findings and prove that bank's sustainability is impeded because it transforms high-risk loan into shadow banking activities which are less regulated. Finally, by using difference-in-difference (DiD) approach, we find that bank's sustainability improved after the financial regulation on shadow banking activities. Our research provides empirical evidence that the financial regulation on bad banking practices is beneficial for bank's sustainability.

Does environmental, social, and governance performance mitigate earnings management practices? Evidence from US commercial banks.

Environmental, social, and governance (ESG) performance has attracted debates of regulatory bodies and the academic community. Previous studies highlighted the relationship between corporate social responsibility (CSR) disclosure index and earnings management (EM) for non-financial firms. In this paper, we examine the relationship between the ESG performance and EM practices for a sample of US commercial banks over the period 2010-2019. We use two proxies for earnings management: abnormal loan loss provisions (ALLP) and EM to meet the threshold of reporting small positive profit or avoiding losses (SPOS). Consistent with the transparent financial reporting hypothesis, we find that banks reporting higher ESG performance are less likely engaged in income-increasing practice through ALLP. However, no evidence supports that ESG score mitigates EM through loss avoidance. Furthermore, we disaggregate the ESG score into its main three components: environmental, social, and governance. Our findings show that the governance pillar effectively mitigates EM practice under its two proxies. Specifically, the social pillar also seems to be an efficient constraint of banks' EM through income-increasing abnormal loan loss provisions and loss avoidance activity. However, no supporting evidence of a mitigating role for the environmental pillar is provided. Taken together, our results show that, except the environmental pillar, ESG performance score acts as an efficient mitigating tool for EM practices for US banks. Our findings provide a better understanding of banks' earnings management practices. Our findings are helpful for managers when undertaking long-term investment strategies in ESG reporting practices, regulators when issuing new standards, and banks' stakeholders when assessing both the financial and non-financial performance of such entities.

Musculoskeletal Disorders, Computer Vision Syndrome and the Quality of Life among Banking Staff in Nepal.

Background Musculoskeletal disorders (MSDs) and Computer vision syndrome (CVS) are workrelated health problems affecting people of working-age, which result in loss of productivity and quality of life. Objective To assess the prevalence of musculoskeletal disorders and computer vision syndrome and their association with quality of life among the banking staff of Nepal. Method A cross-sectional questionnaire survey was conducted among 207 banking staff of the banks of Kathmandu. We used cluster random sampling to recruit the study participants. Musculoskeletal disorders was defined as pain or discomfort in one of nine body parts during the past 12 months using the English version of the Nordic Musculoskeletal Questionnaire (NMQ-E). Computer vision syndrome was defined as the presence of any visual symptoms like dry eye, excessive tearing, eye irritation, etc. at least once during the past 12 months. Quality of life (QoL) was assessed through the SF-36 questionnaire. Logistic regression models were fitted to determine the association of musculoskeletal disorders and computer vision syndrome with Quality of life. Result The prevalence of musculoskeletal disorders and computer vision syndrome were 65% and 92% respectively. The participants with musculoskeletal disorders were twice likely to have poor physical Quality of life (OR 2.34, 95% CI 1.20-4.58), while those with Computer vision syndrome were ten times likely to have low physical Quality of life (10.42, CI: 1.29-84.09). Conclusion Musculoskeletal disorders and computer vision syndrome were common among the bank workers in Nepal and are found associated with poor physical Quality of life. This calls for strategies emphasizing ergonomics and regular job shifting.

Does environmental information disclosure affect the financial performance of commercial banks? Evidence from China.

The article uses hand-collected data regarding environmental information disclosure for Chinese 30 listed banks from 2009 to 2019 to investigate the effect of environmental information disclosure on banks' financial performance. Results show that the improvement in the quality of environmental information disclosure enhances the financial performance of banks, and this effect is intertemporal. In terms of the bank heterogeneity, national banks have a more significant effect of environmental information disclosure on their financial performance compared to regional banks. Furthermore, we provide evidence that the regional green development environment moderates the relationship between environmental information disclosure and banks' financial performance. The findings of our study add impetus for commercial banks to improve their environmental information disclosure.