ABSTRACT
The development of financial technology has promoted the innovation and digital transformation of commercial banks. Through digital transformation, commercial banks can improve bank efficiency and operational capabilities. Through empirical analysis, this study explored the relationship between digital bank transformation and commercial bank operating capabilities and how COVID-19, bank categories, and enterprise life cycles affect the relationship between digital bank transformation and commercial bank operating capabilities. This study selected data from China's commercial banks from 2011 to 2021 and used the regression method of fixed effects to conduct an empirical analysis. The research results show that the digital transformation of banks has improved the operational capabilities of commercial banks. Further analysis showed that the emergence of COVID-19 has negatively affected their relationship. At the same time, compared with rural commercial banks and commercial banks in the recession and phase-out periods, non-rural commercial banks and commercial banks in the growth and maturity stages play a more vital moderating role in the impact of the digital transformation of banks on the financial performance of commercial banks. The main research object of this study is Chinese commercial banks, and this study examines the results of banks' digital transformation and enriches the research on digital transformation. At the same time, this study is helpful to investors who like investment banks and has good practical significance.
ABSTRACT
The volume on China: The Bankable State rejects neoliberal consensus and focuses on crucial contributions of the Chinese state in shaping Chinese economy. This book makes crucial theoretical contributions to the study of local political economy of China. This book engages with Chinese state responses to challenges China faces in the processes of reform, transition and development of both commercial and non-commercial banks. This book explores Chinese economic growth and development policy processes and its uniqueness in the wider world economy. The book examines Chinese financial policy praxis and offers an insightful account of its successes for the wider resurgence of alternative political economy of local development. Additionally, this book also showcases state led entrepreneurship in China. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
ABSTRACT
Bank Indonesia, el banco central de Indonesia, ha realizado ajustes en un instrumento de política macroprudencial llamado índice de intermediación macroprudencial (IIM) para impulsar el crecimiento de los préstamos en el contexto de la recuperación económica nacional debido a la pandemia de COVID-19. En este artículo, se desarrolla un modelo dinámico de préstamo bancario con comportamiento procíclico, y se equipa con el instrumento predecesor del IIM denominado requerimiento de reserva basado en la relación préstamo-depósito (RR-RPD). Examinamos los efectos de los parámetros RR-RPD en la dinámica del préstamo utilizando el análisis de bifurcación de colisión de fronteras para determinar los valores umbral de los parámetros RR-RPD para que se pueda mantener la estabilidad del equilibrio del préstamo. Este modelo se aplica a los datos mensuales de los bancos comerciales de Indonesia antes y durante la pandemia de COVID-19 para evaluar la región de estabilidad de los parámetros del instrumento.Alternate :Bank Indonesia, the central bank of Indonesia, has made adjustment settings in a macroprudential policy instrument called macroprudential intermediation ratio (MIR) to boost loan growth in the context of national economic recovery due to the COVID-19 pandemic. In this paper, a dynamic model of bank loan with procyclicality behavior is developed, and it is equipped with the predecessor of the MIR instrument called loan-to-deposit ratio based reserve requirement (LDR-RR). We examine the effects of LDR-RR parameters on the dynamics of loan using the border collision bifurcation analysis to determine the threshold values of the LDR-RR parameters so that the stability of loan equilibrium can be maintained. This model is applied to monthly data of Indonesian commercial banks before and during the COVID-19 pandemic to assess the stability region of the instrument parameters.
ABSTRACT
The effects of the COVID-19 pandemic and the Russian–Ukrainian war have had a significant impact on economies around the world, with pivotal implications for the activities of companies. The issue of corporate financial literacy has been within our scope of interest for a matter of years now, and this study aims at re-enforcing our previous overall theoretical and literacy-based analysis from a methodological approach. We use our own previous databases to explore and analyze the importance of corporate financial literacy, taking into account the economic factors inside and outside the organization that affect the businesses. For this, a confirmative factor analysis (CFA) model has been created. The article aims at two things with this. On the one hand, we intend to introduce the wider scope of the fit tests applicable in the CFA, thus giving a direction to other authors. It also allows for adequate verification for their models, while at the same time conducting the fit test for our corporate financial literacy model as well as a valid model framework suitable for making measurements and deductions. With the resulting model, this paper aims to examine the corporate financial literacy, the current economic challenges, and the issues faced by managers during crises. In addition to all this, with our article, we also want to make some contribution to the methodology of empirical data analysis: in the article we collect the fit tests that can be used to validate confirmatory factor models, the way they are determined, and most importantly, we try to sort out the literature approaches to the acceptable values of these tests, giving the reader a kind of guide and a reference base. The results of the research identify response measures that can contribute to increasing companies' resilience based on the principles of financial awareness.
ABSTRACT
This research paper focuses on mobile banking acceptance among Generation Z users by combining the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) theory, as well as extending the theories with perceived trust and risk. During the COVID-19 pandemic, the online questionnaire survey was distributed using Google Forms, and the sample group was Thai Generation Z who were aged between 18 and 25 years old. The research objectives aim to (i) investigate the crucial effects that potentially affect user intention and actual usage of mobile banking, (ii) identify the most influential factor impacting users' intention and behavior, (iii) further study the trust and risk perception of Generation Z users on mobile-banking intention and actual usage, (iv) discuss the findings with the antecedent studies, and (v) contribute the research findings both theoretically and practically. The proposed constructs include perceived usefulness, perceived ease of use, social influence, facilitating conditions, perceived trust, perceived risk, behavioral intention, and actual usage. There are fourteen proposed hypotheses to be tested. Based on the outcomes and the standardized coefficient beta, perceived usefulness (β = 0.518) was the strongest factor determining Generation Z's behavioral intention, while perceived ease of use (β = 0.809) impacting perceived usefulness demonstrated the strongest relationship among all of the hypotheses.
ABSTRACT
PurposeThe unemployment rate (UR) is the leading macroeconomic indicator used in the credit card loss forecasting. COVID-19 pandemic has caused an unprecedented level of volatility in the labor market variables, leading to new challenges to use UR in the credit risk modeling framework. This paper examines the dynamic relationship between the credit card charge-off rate and the unemployment rate over time.Design/methodology/approachThis study uses quarterly observations of charge-off rates on credit card loans of all commercial banks from Q1 1990 to Q4 2020. Univariate, multivariable, machine learning, and regime-switching time series modeling are employed in this research.FindingsThe authors decompose UR into two components – temporary and permanent UR. The authors find the spike in UR during COVID-19 is mainly attributed to the surge in temporary layoffs. More importantly, the authors find that the credit card charge-off rate is primarily driven by permanent UR while temporary UR has little predictive power. During recessions, permanent UR seems to be a stronger indicator than total UR. This research highlights the importance of using permanent UR for credit risk modeling.Originality/valueThe findings in the research can be applied to the credit card loss forecasting and CECL reserve models. In addition, this research also has implications for banks, macroeconomic data vendors, regulators, and policymakers.
ABSTRACT
The rapid development of information technology and the diffusion of Internet-only banks have made mobile banking an essential service in Korea. Meanwhile, the spread of non-face-to-face services triggered by the COVID-19 pandemic is encouraging continuous innovation in the banking sector. This study explored the application design attributes of mobile banking in the context of the sustainability of Internet-only banks. Specifically, this study empirically analyzed user usage intention and attitude using the theory of planned behavior (TPB) and seven service design attributes derived from previous studies, namely: information quality, service quality, utilitarian value, hedonic value, ease of use, usefulness, and aesthetics. Information quality, utilitarian value, ease of use, and usefulness positively affected sustainable usage intention and attitude, while service quality, hedonic value, and aesthetics did not affect sustainable usage intention and attitude. Notably, this study derived the theoretical attributes of financial service design from the user's perspective, which has not yet received much attention in existing research, by applying the TPB. It also identified mobile banking service attributes that may support the sustainability of financial services, which lays a foundation for further research. Moreover, this study's findings offer insights into which user touchpoints designers should focus on when developing services.
ABSTRACT
PurposeThis article examines the effects of credit to private sector on the business and trade activities. The effectiveness of rapid expansion in public and private borrowing through state's intervention after COVID-19 pandemic has been assessed in this study.Design/methodology/approachThe model to determine the role of credit expansion is based on four equations estimated through panel least square technique on 18 years data of 186 countries.FindingsIt is concluded that credit to private sector and external debt improve the investment in infrastructure, which is a significant determinant of gross domestic product growth. Empirical evidences corroborate that higher number of firms using banks to finance their investment and the volume of broad money determine the magnitude of credit to private sector.Originality/valueThis study explores some new evidences and aspects of the credit financing which have not been discussed in this way before.
ABSTRACT
This study examines the effect of environmental and social (ES) activities on global banking stability in the shadow of the COVID‐19 pandemic. Using a sample of 244 commercial banks across 52 countries from 2002 to 2020, we provide evidence that during the global health crisis, banks with higher levels of ES activities are more financially stable (i.e. lower credit and liquidity risk exposures). Drawing on social capital and stakeholder theories, we find that ES activities increase firm‐level social capital and establish a stakeholder‐centred culture within a bank, strengthening social trust and public confidence in the bank's risk oversight. Accordingly, ES activities constrain excessive and aggressive bank risk‐taking during turbulent times when short‐termism prevails. Our additional analysis reveals that investors value such beneficial effects of ES activities. The findings offer new insights into the increasingly significant roles of social capital creation and stakeholder‐centred culture in maintaining banks' financial stability.
ABSTRACT
The public finances of the Czech Republic fell into deep deficits during the pandemic, while the money supply growth rate accelerated. We make a basic comparison of monetary acceleration during the first two years of the pandemic with other countries. We verify that this acceleration in the Czech Republic was partly due to commercial banks increasing credit to the government. We argue that purchases of government bonds by non-residents have a similar effect. This is particularly true when non-residents use existing koruna deposits held by them, partly as a result of past foreign exchange interventions, to purchase government bonds. While there was an acceleration in monetary growth during the pandemic, there was a decline in monetary growth during the Great Financial Crisis (GFC). However, our analysis suggests that this was due mainly to a decline in private credit growth during the GFC. We see no fundamental reasons for a structural change in money demand as a result of the pandemic. We therefore believe that unless the observed monetary acceleration is offset by slower-than-trend monetary growth in the near term, it will translate into an increase in the price level.
ABSTRACT
Digital transformation is a critical challenge for commercial banks to achieve sustainable competitive advantages in the digital economy. However, conventional research focuses too much on constructing linear models to explain the non-linear relationships between and among the factors relevant to digital transformation. By adopting the configurational framework, we propose that the interactions between strategy and dynamic capabilities determine the paths of how digital transformation may succeed or fail. The fuzzy-set qualitative comparative analysis (fsQCA) of digital transformation practices by Chinese commercial banks shows that: (1) a single condition of strategic orientation or dynamic capabilities does not constitute the necessary condition for high digital transformation, yet market orientation plays a more general role in generating high digital transformation. (2) There are three configurational paths that can contribute to high digital transformation of commercial banks, such as sensing capability-driven paths dominated by strategic orientation, integrating capability-driven paths dominated by strategic orientation, and the market orientation-driven paths dominated by dynamic capabilities. (3) There are two configurational paths that lead to non-high digital transformation, which verifies the existence of the asymmetrical relationship compared to the configurational paths of high digital transformation;(4) In the pathways dominated by strategic orientation, there is a substitutive relationship between sensing capability and integrating capability. The findings make contributions to the literature on digital transformation and provide implications for the digital transformation of commercial banks.
ABSTRACT
Bu çalışmada, Türkiye'de işlem hacmi en yüksek 13 ticari bankanın pandemi öncesi (2019) ve dönemi (2020) finansal performansları çok kriterli karar (Entropi, ARAS, MOORA ve MOOSRA) teknikleriyle belirlenerek BrandFinance marka deǧerlemesi sıralaması ile karşılaştırmıştır. ARAS yöntemi ile ulaşılan finansal performans sıralama sonuçları BrandFinance marka deǧerleme sıralaması ile benzeri çıkmıştır. Ayrıca kamu bankası olan Ziraat Bankası'nın pandemi öncesi;pandemi döneminde de Ziraat Bankası ile diǧer kamu bankası olan Halkbank'ın da yüksek performans göstererek ilk 5 banka içinde yer aldıǧı tespit edilmiştir. Çalışmanın orijinalliǧi, finansal performans sıralaması sonuçları ile BrandFinace marka deǧerleme sıralama sonuçlarının karşılaştırıldıǧı ilk çalışmadır.Alternate :In this study, the pre-pandemic (2019) and pandemic period (2020) financial performances of 13 commercial banks with the highest transaction volume in Turkey were compared using multicriteria decision (Entropy, ARAS, MOORA, and MOOSRA) techniques. The financial performance ranking results obtained by the ARAS method are similar to the BrandFinance brand valuation ranking. In addition, before the pandemic Ziraat Bank, which was a public bank;during the pandemic period, along with Ziraat Bank, Halkbank, which is the other public bank, were found to be among the top 5 banks showing high performance.
ABSTRACT
Although the public sector is seen as the main party responsible for taking action on climate change and sustainable development, private commercial banks are in a unique position to support or shift the funding focus on green investment. By employing a qualitative research approach based on six commercial banks, this paper aims to investigate the current practices of how commercial banks are contributing to advance green business initiatives. Accordingly, this research examines and identifies the facilitators and challenges in domestic and foreign commercial banks in Vietnam which support green business initiatives. In addition to addressing the recent calls for the investigation of the role of commercial banks in facilitating green finance, our study expands the emerging literature by demonstrating the current efforts of Vietnam's commercial banks in fostering green finance during the Covid-19 pandemic. © 2022 ERP Environment and John Wiley & Sons Ltd.
ABSTRACT
COVID-19 has a devastating impact on the global economy, particularly on robustness and resilience of emerging and developing economies' (EMDE's) economic-cum-financial systems. Reinventing banking practices with strategies are indispensable for sustainable growth. EMDEs like India have distinct country-specific business models. We aim to devise a sustainable model for augmenting banks' other income;analyzing off-balance sheet (OBS) activities in India, which may be applied in EMDEs' efficacy. We apply least-squares dummy variables and ordinary least squares models for fixed-effect regression analysis on OBS from 1996-2019. Regulatory determinants like capital adequacy, net non-performing assets, liquidity have more significant impact on OBS than bank-specific variables like bank size or macroeconomic like GDP. OBS can generate revenue is exemplified by strong relation to other income. Findings reveal that while assessing impact of COVID-19 on-balance sheets, banks should prioritize capital and contingency liquidity planning, focusing on OBS activities to augment other income in the revival strategy. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
[...]we have two more special issues lined up! A Human Rights Approach to Mental Health Services, policy and legislation will be edited by Guest Editor Michael Elnemais Fawzy, MD Consultant Psychiatrist at the Al Abbassia Mental Health Hospital, Cairo, Egypt. Do front-line employees in the Chinese commercial banks have the rights to experience psychological well-being? aims to understand the relationship between job autonomy, transformational leadership and psychological well-being mediated by job satisfaction among front-line employees in Chinese commercial banks. Employees with a high level of job satisfaction and psychological well-being benefit both their own health and organisational performance in the long run.
ABSTRACT
Economists, academics, and practitioners are worried that the COVID-19 pandemic has a negative impact on the banking industry in the world, especially in Indonesia, such as other events that have occurred in the world in the last 25 years, namely the Asian Financial Crisis in 1997, Severe Acute Respiratory Syndrome (SARS) in 2003, and the Global Financial Crisis in 2008 (Overby et al., 2004;Hill and Shiraishi, 2007;Winoto and Bustaman, 2020). Rahmi and Sumirat (2021) used commercial banks for their research data and stated that the COVID-19 pandemic has a negative effect on ROA. [...]this research was conducted, studies examining the impact of the COVID-19 pandemic on the performance of rural banks in Indonesia had never been done. [...]this study proposes several research hypotheses as follows: H1: the COVID-19 pandemic has a negative effect on CAR H2: the COVID-19 pandemic has a positive effect on NPL H3: the COVID-19 pandemic has a negative effect on ROA H4: the COVID-19 pandemic has a negative effect on CR Research and Methodology Data and sample The sample selection used the purposive sampling method by selecting rural banks that had complete data, selecting rural banks operating before the COVID-19 pandemic occurred and were still operating until this research was conducted, and selecting rural banks from the largest bank size to the smallest.
ABSTRACT
Purpose>This study contributes to a growing body of literature on the Paycheck Protection Program (PPP) by examining how lender incentives affected prioritization of large borrowers. In addition, this study separately examines incentives for commercial banks and credit unions during the program.Design/methodology/approach>Using 2020 PPP loan data, the authors create a proxy for lender loan prioritization by comparing the skewness statistics of large and small loan distributions. A regression model is used to examine lender reporting incentives and loan prioritization.Findings>Results show that larger borrowers were prioritized in receiving PPP loans earlier. Lenders with financial reporting concerns and commercial banks favored large borrowers to a greater extent.Practical implications>This study may inform social planners and regulators about the benefits and costs of delegating emergency funding loan decisions to financial institutions.Originality/value>The authors believe this paper is the first to examine financial institution reporting incentives in relationship to PPP lending practices. It adds novelty by examining lender incentives, while prior research has focused heavily on the economic consequences of the program and how borrower–lender relationships affected loan practices during the program.
ABSTRACT
As an important pillar of the real economy, small-micro enterprises are facing many difficulties in operation under the dual impact of the global economic downturn and the COVID-19 epidemic. And they are in urgent need of external financing to tide over the difficulties. The purpose of rural commercial bank is to serve small and medium-sized enterprises and agriculture, rural areas and farmers. Therefore, the financing of rural commercial bank is crucial for the development of small-micro enterprises. However, due to unstable development mode, imperfect management mechanism and other reasons, small-micro enterprises usually have high credit risk, which brings great challenges to the loan risk control of rural commercial bank. Effective evaluation of credit risk of small-micro enterprises is the basis of rural commercial bank's loan decision-making and an important issue concerned by theory and practice. This paper studies the credit risk evaluation model of rural commercial bank for small-micro enterprises. Firstly, a set of credit risk evaluation indicator system combining financial and behavioral indicators is constructed, which expands the disadvantages of traditional research that only considers financial indicators is too one-sided. Secondly, XGBoost model is used to screen indicators and build a credit risk evaluation model of small-micro enterprises based on improved random forest. Finally, the effectiveness of the model is verified by comparing with other traditional models, and the experiment proves that the introduction of behavioral indicators can significantly improve the effectiveness of the model. © 2022 ACM.
ABSTRACT
In the economic development of a nation, banks occupy an important place. Commercial banks as financial institutions have also emerged as significant sources of funds to industry by virtue of which they constitute an important element of the institutional structure of the capital market in India. Banks assist the establishment and development of well-economic infrastructure for better living standards and are a good source for the procurement of credit to vulnerable groups. They initiated varied financial products and services for inclusive growth at affordable costs. The main purpose of the study is to identify the specific role played by commercial banks in India for achieving financial inclusion. In this research, Firstly, the authors will talk about the significance of financial inclusion in detail;later, the focal point is on the initiatives and role of commercial banks to achieve financial inclusion. The study is based on a systematic review of the literature. The researchers have reviewed the literature of the last decade to realize the financial inclusion growth through the banks. A longitudinal manner literature review has been carried out. The findings of this review paper suggested that various significant contributions rendered by the Indian banking sector towards inclusive growth and to the unbanked populace are Bank branch penetration, Setting up of BC/BF outlets to a large extent, no-frill accounts opening with nil or no balance, Expansion of ATM density in rural and semi-rural areas, Rendering flexible credit facility to MSMEs, SHGs and Villagers to make them economically strong, the introduction of technology-based initiatives such as online banking, Mobile banking, telebanking, Kiosks, and smart cards, simplified KYC norms, distributing General credit cards and Kisan credit cards, and enhancing the financial literacy among the public. The study also concentrates on the performance of banks for financial inclusion before and after the adoption of ICT technology in India.