University of Economics and Law

This study investigates the determinants of bank profitability in 23 countries from 2002 to 2016 using the system generalized method of moments. The findings indicate that the number of bank cards issued, the number of automated teller machines (ATMs) and the number of point of sale (POS) terminals can improve bank profitability. Hence, this suggests a need for further expansion of these delivery channels. Also, the findings show the negative impact of market power on bank profitability, implying that competition improves bank profitability. Further, the positive relationship between capital market development and bank profitability suggests that they should be considered as complementary to one another.

Innovation is a complex process and has been shown to be influential towards different types of stakeholders. From the viewpoint of stakeholder theory, shareholders and creditors are more likely to be concerned about corporate financial performance. However, in the new era an enterprise’s responsibilities have to extend to other stakeholders, including its employees, suppliers and communities. This study aims to extend the literature by examining the individual effects of product and process innovations, and then their interactions with external collaboration, on firm performance and corporate social responsibility (CSR) activities in terms of local contributions for a sample of Vietnamese manufacturing firms during 2011–2013. Research findings suggest that process and product innovations are beneficial to firm performance in terms of market share, but not return on total assets. This implies that investment in innovative activities requires time to make positive changes in profitability, but it may help with winning customer loyalty. We also find evidence suggesting that innovation could make firms more obscure, especially when there are external parties involved. This motivates firms to send signals about their sustainability and goodwill through corporate social responsibility (CSR) activities. With regard to CSR activities, we are the first to provide a breakdown of categories of corporate social contribution towards the local well-being, and elaborate evidence on the effect of innovation on each category, rather than just a composite index of CSR as in some extant studies.

Investment in tourism infrastructure development to make destinations and services increasingly attractive is considered a key measure in developing a country’s tourist destinations. This paper investigates the impact of investment in tourism infrastructure components on international visitor attraction using data from Vietnam for the period 1995–2019. The results of analyzing panel data by the nonlinear Autoregressive Distributed Lag (ARDL) approach show that, in the long-run, investing in the three components of tourism infrastructure, namely transport and communications infrastructure, the hotel and restaurant industry, and recreation facilities, has a strong and positive impact on international visitor attraction. In addition, different short-run impacts of the three tourism infrastructure components on the whole market and each major international visitor market are also found.

This paper reports on a study that examined the effect of school principals’ emotional intelligence, and their instructional leadership, on improving teachers’ instructional strategies. A sample of 534 primary teachers from 54 primary schools in China was approached and invited to respond to a questionnaire. Structural equation modelling identified the relationships between three constructs – Wong’s Emotional Intelligence Scale, the Principal Instructional Management Rating Scale, and the Instructional Strategy Scale – and between the dimensional levels. The study confirmed the theoretical proposition that principals’ EI and their instructional leadership behavior are influential factors with regard to teachers’ instructional strategies. The findings are of particular interest because they include the element of emotional intelligence for improvement of teaching practice and evaluating the effectiveness of the principal.

Purpose This study investigated the impacts of the environment, social and governance (ESG) and its components on global bank profitability considering the COVID-19 outbreak. Design/methodology/approach This study used a system generalized method of moments (GMM) proposed by Arellano and Bover (1995) to investigate the relationship between ESG and bank profitability using an unbalanced sample of 487 banks from 51 countries from 2006 to 2021. Findings The findings generally found that ESG activities may reduce bank profitability, thus supporting the trade-off hypothesis that adopting ESG standards could increase bank costs while lowering profitability. In addition, there is a U-shaped relationship between ESG and bank profitability, suggesting that ESG activities can help improve bank performance in the long term. Such an effect is the first time observed in the global banking sector. This study’s results are robust across different models and settings (e.g., developed vs. developing countries, different levels of profitability, and samples with vs without US banks). Practical implications This study provides empirical evidence to support many countries' sustainable development policies. It also provides empirical incentives for bank managers to be more ESG-oriented. Originality/value This study provides a better understanding of the roles of ESG activity and its components in the global banking system, considering the recent crises.

Although the relationship between board gender diversity and a firm’s financial performance has been investigated before, the current study provides a valuable contribution by exploring the complex phenomenon of the mediating impact of corporate social responsibility (CSR) performance on a firm’s financial performance. The current study aims to explore whether corporate social responsibility (represented by the proxy variable of CSR reporting) mediates the relationship between boardroom gender diversity and firm performance. We use the pooled ordinary least square (OLS) regression to examine the above relationship by using data from 2008 to 2015. To control the likelihood of endogeneity we also use one-year lagged and two-stage least square (2SLS) regression models. Our results show that boardroom gender diversity is significant, positively correlated with firm performance, and CSR fully mediates the relationship between boardroom gender diversity and firm performance. In addition, four control variables (independent director, Chief executive officer (CEO power), board member meeting frequency, Big4, and leverage) have some influence on firm performance. These findings hold for a set of robustness tests. Our findings have the implication for the investors and regulators. For investors, our results show that the existence of female directors on the board can improve the firm performance. For regulators, our results advise the worldwide policy maker to give the importance to boardroom gender diversity. The paper contributes to the existing studies, by pioneering the investigations of the mediating role of CSR in the relation between boardroom gender diversity and firm performance in Chinese context.

The objective of this study is to re-examine the impact of the informal economy on economic growth in Pakistan. This study first computed the informal economy through currency demand equation and then the adopted auto-regressor distributed lags (ARDL) technique for data analysis. The result indicates that 56% informal economy of gross domestic product (GDP) exists in Pakistan. The Wald F-test shows that the overall model is statistically significant because the value of this test (13.4) is more than the upper and lower bounds values. Whereas Engle-Granger causality test describes that the growth rate of real GDP causes the Granger to GDP at 5%. This study tries to solve these issues and give a new policy implication for policymakers to control the informal economy and make sure that this sector will convert into a recorded or reported form.

Purpose The purpose of this paper is to examine the relationship between corporate social responsibility (CSR) and firm performance and the moderating role of earnings management on the relationship between CSR and firm performance. Design/methodology/approach The empirical study used the updated data set (3,481 unbalanced observations for period 2009–2015) from Chinese listed companies on Shenzhen and Shanghai stock exchanges. The generalized method of moments (GMM) statistical approach has been used for the analysis. The authors utilized STATA to test GMM on a sample of Chinese listed firms data over the period 2009–2015. The unbalanced sample obtained 3,481 observations from China stock market and accounting research database and CSR ratings provided by Rankins (RKS). Findings The results demonstrated that CSR has a positive and significant relationship with firm’s performance; also, earnings management has a negatively moderate relationship between CSR and firm performance. These results imply that a high value of earnings management, which results in high level of symbolic CSR, converts to low firm performance of the Chinese firms. CSR actions (only as symbolic measures) promoted by managers as a means to cover their profit management incite an adverse effect on the company’s performance. This study has highlighted the impact of two different corporate social responsibilities: substantive and symbolic (genuine CSR vs greenwashing) on firm performance. Research limitations/implications The results of this investigation will be of distinct interest to company owners who wish to ascertain the effectiveness of the sustainability decisions of directors and managers, and also to investors and public authorities to estimate the positive relationship between CSR and company’s reputation and image, and thus, the positive influence on firm performance. Originality/value Previous studies have generally focused on the relationship between CSR and firm performance. This study provides the impact of earnings management (measurement of both aspects of accrual-based earnings management and real earnings management) on this relationship. Furthermore, this study examines the state of CSR in the Chinese market and provides empirical evidence of this relationship in emerging markets.

The primary objective of this paper is to empirically examine whether corporate social responsibility (CSR) influences corporate tax avoidance (CTA) of Chinese listed companies. The study is based on a sample of 3481 firm-year observations from 2009 to 2015 using CSR ratings from the Rankins (RKS) corporate social responsibility ratings agency in China, and all financial data extracted from the China Stock Market and Accounting Research (CSMAR). The authors foundthat CSR is negatively related to the current and cash effective tax rate (proxies of corporate tax avoidance), suggesting that responsible firms are more involved in tax avoidance as compared to less responsible firms. Their findings are robust against different control variables. Additionally, to the best of the authors’ knowledge, the paper is one of the first to document an empirical association between CSR and corporate tax avoidance of Chinese listed companies.

The present study analyzed the impact of corporate social responsibility (CSR) reporting on the financial performance of Indian companies. It used secondary data from 50 manufacturing companies over the period of fiscal years 2011 to 2017. The results suggested that there exists a significant relationship between the performance of Indian companies and their CSR. The CSR not only improves the firm’s social value and reputation but also improves profitability and performance. According to the results, return on assets is significantly determined by corporate governance, customers, products, number of employees, and board size. The customer has a negative impact on return on assets (ROA). The relationship between return on equity and independent variables is the same as the relationship between ROA and independent variables. Corporate governance and product positively impact ROE, but the relationship between customers, number of employees, and board size are negative. Corporate governance and product positively impact return on capital employed (ROCE), but the relationship between customer and the number of employees is negative. Education has positive impact on profit after tax (PAT) and profit before tax (PBT), but the PAT relationship between environments is negative. Corporate governance and product positively impact PBT. In general, we concluded that in India, socially responsible corporations perform better and vice versa.

Abstract The Vietnamese Mekong Delta (VMD) is one of the most examined deltas in the world given its dynamics, complexity, and vulnerability. In the past decades, the VMD has changed rapidly, especially the land use in relation with the socioeconomic development. National policy has profoundly influenced these changes and the changes have significantly affected local livelihoods. However, these changes are not well reported systematically. In this study, we investigate land‐use changes based on institutional analyses across multiple scales, that is, from national, provincial, to local livelihood based on institutional and sustainability analysis. The results show a strong relationship between legal settings over the last 30 years on land use and livelihood transitions. In addition, the constraints of implementing national legal frameworks at provincial level in practice were identified including effects to local livelihoods. We offer some recommendations for sustainable livelihoods in the VMD, with a focus on increasing socioecological resilience.

Using time-series data analysis for stock-price forecasting (SPF) is complex and challenging because many factors can influence stock prices (e.g., inflation, seasonality, economic policy, societal behaviors). Such factors can be analyzed over time for SPF. Machine learning and deep learning have been shown to obtain better forecasts of stock prices than traditional approaches. This study, therefore, proposed a method to enhance the performance of an SPF system based on advanced machine learning and deep learning approaches. First, we applied extreme gradient boosting as a feature-selection technique to extract important features from high-dimensional time-series data and remove redundant features. Then, we fed selected features into a deep long short-term memory (LSTM) network to forecast stock prices. The deep LSTM network was used to reflect the temporal nature of the input time series and fully exploit future contextual information. The complex structure enables this network to capture more stochasticity within the stock price. The method does not change when applied to stock data or Forex data. Experimental results based on a Forex dataset covering 2008–2018 showed that our approach outperformed the baseline autoregressive integrated moving average approach with regard to mean absolute error, mean squared error, and root-mean-square error.

Purpose This study is the first to investigate whether fintech credit influences bank performance, considering the moderating impact of bank regulations. Design/methodology/approach This study uses an aggregate dataset of 73 countries from 2013 to 2018 to examine the nexus between fintech credit, bank regulations and bank performance. For robustness tests, the authors introduce different proxies of fintech credit, perform sub-sample analysis and substitute control variables, as well as conduct their empirical strategy to tackle potential endogeneity issue. Findings The authors document some significant findings. First, the authors’ evidence implies that fintech credit tends to reduce bank profitability, while improving bank risk-related performance. This suggests that as fintech grows, it competes with banks and takes some share of profits, but it also benefits banks in terms of stability. Second, stricter regulations contribute positively to bank stability. Third, the authors argue that the impact of fintech credit on bank performance may depend on the degree of banking regulation, and find that fintech credit would impose a more positive influence on bank stability as more stringent banking regulation is present. Originality/value This study is the first to investigate whether fintech credit influences bank performance, considering the moderating impact of bank regulations. The findings imply that fintech credit tends to be more beneficial when bank regulations become stricter. Therefore, they bring relevant implications to the regulators, as well as bank and fintech managers with regard to the potential cooperation.

Abstract The aims of this study are to predict the stock price trend in the stock market in an emerging economy. Using the Long Short Term Memory (LSTM) algorithm, and the corresponding technical analysis indicators for each stock code include: simple moving average (SMA), convergence divergence moving average (MACD), and relative strength index (RSI); and the secondary data from VN-Index and VN-30 stocks, the research results showed that the forecasting model has a high accuracy of 93% for most of the stock data used, demonstrating the appropriateness of the LSTM model and the test set data is used to evaluate the model’s performance. The research results showed that the forecasting model has a high accuracy of 93% for most of the stock data used, demonstrating the appropriateness of the LSTM model in analyzing and forecasting stock price movements on the machine learning platform.

Together with the growth of e-commerce transaction, Phishing - the act of stealing personal information - rises in quantity and quality. The phishers try to make fake-sites look similar to legitimate sites in terms of interface and uniform resource locator (URL) address. Therefore, the numbers of victim have been increasing due to inefficient methods using blacklist to detect phishing. This paper proposes a new phishing detection approach based on the features of URL. Specifically, the proposed method focuses on the similarity of phishing site's URL and legitimate site's URL. In addition, the ranking of site is also considered as an important factor to decide whether the site is a phishing site. The proposed technique is evaluated with a dataset of 11,660 phishing sites and 5,000 legitimate sites. The results show that the technique can detect over 97% phishing sites.

Corporate tax avoidance is an act aiming at reducing tax amount liable to the government, which is expected to raise firm value. However, agency theory postulates that opportunistic managers can lower tax liabilities through the arrangement of complex transactions, enabling them to shirk or pursue own interests. Therefore, the need to examine the link between corporate tax avoidance and firm performance is evident, yet there has not been any research on this in the context of Vietnam, a country plagued with tax-avoiding cases. We are the first to examine the empirical link using a sample of Vietnamese listed firms over the period from 2010 to 2016, using a wide-ranging set of performance and tax-sheltering indicators. Overall, the results indicate a mixed relationship between corporate tax avoidance and firm performance in Vietnam.

Abstract Climate change impacts, risks and sustainability disclosures have attracted increasing attention from scholars in various streams of the economics and finance literature towards achieving the UN's Sustainable Development Goals (SDGs). Within the stream of climate finance, the global initiatives for corporate social responsibility (CSR) and environment, social and governance (ESG) practices have had important roles in leveraging firms to become more actively involved in environment‐related disclosure, in which climate risk reporting is central to evaluating whether and to what extent a firm and its operations are friendly to the environment. Along with the growth of the UN Principles for Responsible Investing in 2005, one of the most recent global initiatives that has been formed is the Taskforce on Climate‐Related Financial Disclosures (TCFD), which has considered the climate‐related financial disclosure recommendations of G20 finance ministers. Given that TCFD recommendations have recently been released for a broad domain of players (such as banks, investors, insurers and governments) in various countries (e.g., New Zealand, the United States and Japan), we surveyed the most recent studies on the TCFD by using a conceptual framework for climate‐related disclosures focusing on studies published worldwide. On the basis of a thorough review, we highlight the essential functions of financial markets and also provide the critical implications for different market players ranging from providers to supporters of the TCFD. Our study offers a timely conceptual review of the TCFD which is critical for stimulating sustainable investments, climate finance and enhanced corporate reporting.

Flooding places continuous stress on small- and medium-sized enterprises (SMEs) particularly in developing and transition economies that depend on their firms’ performance, but may have not fully developed flood protection infrastructure. Yet, detailed knowledge about whether and how firms take adaptation action against flood hazards, including potential adaptation barriers, is surprisingly thin. We respond to this gap by offering an empirical analysis of small- and medium-sized manufacturing firms in Ho Chi Minh City (HCMC), one of the front lines of future environmental risk. Drawing on qualitative interviews, our study has two main aims: first, to understand if adaptive action occurs more intensively among firms that previously faced high direct impacts, and second, to shed light on other internal firm characteristics as well as external conditions that determine firm decisions to undertake flood adaptation measures. We find that the majority of firms cope reactively to prevent severe flooding effects. Interestingly, experience with past events, including those of high impact, do not directly lead to long-term strategic adaptation. A lack of business capabilities and financial capacity, combined with insufficient support systems, largely hamper proactive adaptation. This leads to increased risks and self-reinforcing effects, which quickly endanger the future business viability of firms. Future research on adaptation to climate change should seek to improve understanding of adaptive capacities among SMEs, which are quite different from those of large international corporations.

The evolution of the COVID-19 pandemic is highly unpredictable; however, its impacts are limited to neither a single sector nor a single country. This study evaluates the performance and efficiency of 49 Islamic banks across 10 countries during 2019-2020 to assess how those banks can preserve their performance and remain resilient in the aftermath of the COVID-19 pandemic. Using the conventional inverse data envelopment analysis (InvDEA) approach, we show that because of reductions in their outputs, 31 out of the 49 banks studied would need to reduce their inputs so that their efficiency can remain unchanged. However, we show that only 10 banks need to make such adjustments to maintain their efficiency levels using our proposed InvDEA efficiency model. The adjustment for those 10 banks would help in reducing more inputs, suggesting more cost savings, and improving the overall efficiency of the examined banks, compared with the other 31 banks.

Using density functional theory (DFT), we assess the suitability of monolayer VO₂ as promising electrode materials for Li, Na, K, Mg and Ca ion batteries.