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The purpose of this research is to reveal the impact of public legal protection on the efficiency of internal corporate governance in banks. In addition, this research proposes a new corporate governance index that could be employed by the banking sector to evaluate the performance of their internal corporate governance mechanisms.

Orbis database, annual reports and direct questionnaire are used to collect corporate governance data of 127 banks from 14 countries during 2020. The Mann–Whitney U-test is employed to compare the efficiency of corporate governance mechanisms based on three subsamples of countries having different legal protection levels (weak, middle and strong).

This research suggests a new corporate governance index for banks based on seven constructs and 62 variables. This new non-parametric index could be used by bankers to improve the monitoring process and enhance the overall performance of banking. The results of this research show that the existence of a strong public legal protection environment within a specific country enhances the efficiency of corporate governance mechanisms in the banking sector and thus, leads to improve the protection of shareholders, depositors and other relevant stakeholders. However, in countries that are characterized by weak legal protection level, the efficiency of corporate governance mechanisms is very low and there are possibilities of entrenchment, expropriation and extraction of private benefits. These findings could be interpreted within the prediction of agency, moral hazard, asymmetric information, political and entrenchment theories.

This research paper provides information that bankers and other relevant stakeholders in the banking sector working in MENA (the Middle East and North Africa) and European countries. A strong public legal protection level could improve the efficiency of internal corporate governance mechanisms within banks.

The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners’ computational thinking.

By analyzing the mechanism of action of ITF on the development of computational thinking, an ITF strategy and corresponding ITS acting on the whole process of programming problem-solving were developed to realize the evaluation of programming problem-solving ideas based on program logic. On the one hand, a lexical and syntactic analysis of the programming problem solutions input by the learners is performed and presented with a tree-like structure. On the other hand, by comparing multiple algorithms, it is implemented to compare the programming problem solutions entered by the learners with the answers and analyze the gaps to give them back to the learners to promote the improvement of their computational thinking.

This study clarifies the mechanism of the role of ITF-based ITS in the computational thinking development process. Results indicated that the ITS designed in this study is effective in promoting students’ computational thinking, especially for low-level learners. It also helped to improve students’ learning motivation, and reducing cognitive load, while there’s no significant difference among learners of different levels.

This study developed an ITS based on ITF to address the problem of learners’ difficulty in obtaining real-time guidance in the current programming problem-solving-based computational thinking development, providing a good aid for college students’ independent programming learning.

The purpose of this paper is to emphasize the needs to understand the barrier and determinant factors in knowledge sharing (KS), to find the common ones and subsequently to build a general framework that can be referred to in designing a KS tool that addresses the common factors.

The approach comprises of two major steps which are to survey the past literature to determine the most common barriers and determinant factors from various unique KS domains and to qualify the factor as the common one based on its presence in at least three to five KS domains. The grounded theory is used to analyze the past literature and to perform categorization.

This paper helps in the summarization of categories and subcategories of barriers and determinants and demonstration on the mapping between them.

This paper has not proved the actual use of the framework in building a KS tool based on the framework.

The common factors are based on at least 60 references of KS implementation such that it is useful for large area of application domains that require building KS tools.

This paper presents the understanding on the common factors and association between the barriers and determinants in building the general framework in which the application of the framework is demonstrated using actor network theory.

In an era marked by heightened geopolitical uncertainties, such as international conflicts and economic instability, the dynamics of energy markets assume paramount importance. Our study delves into this complex backdrop, focusing on the intricate interplay the between traditional and emerging energy sectors.

This study analyzes the interconnections among green financial assets, renewable energy markets, the geopolitical risk index and cryptocurrency carbon emissions from December 19, 2017 to February 15, 2023. We investigate these relationships using a novel time-frequency connectedness approach and machine learning methodology.

Our findings reveal that green energy stocks, except the PBW, exhibit the highest net transmission of volatility, followed by COAL. In contrast, CARBON emerges as the primary net recipient of volatility, followed by fuel energy assets. The frequency decomposition results also indicate that the long-term components serve as the primary source of directional volatility spillover, suggesting that volatility transmission among green stocks and energy assets tends to occur over a more extended period. The SHapley additive exPlanations (SHAP) results show that the green and fuel energy markets are negatively connected with geopolitical risks (GPRs). The results obtained through the SHAP analysis confirm the novel time-varying parameter vector autoregressive (TVP-VAR) frequency connectedness findings. The CARBON and PBW markets consistently experience spillover shocks from other markets in short and long-term horizons. The role of crude oil as a receiver or transmitter of shocks varies over time.

Green financial assets and clean energy play significant roles in the financial markets and reduce geopolitical risk. Our study employs a time-frequency connectedness approach to assess the interconnections among four markets' families: fuel, renewable energy, green stocks and carbon markets. We utilize the novel TVP-VAR approach, which allows for flexibility and enables us to measure net pairwise connectedness in both short and long-term horizons.

This study aims to empirically examine the impact of internal corporate governance mechanisms (ICGM) related to the size of the board, board composition, CEO duality and audit committee independence as a single metric on a firm’s investment decisions.

This study attempts to develop an internal corporate governance quality index comprising 10 items under four main ICGMs – size and independence of the board, CEO duality and audit committee independence – employing panel data analysis to investigate its impact on the investment decisions in 301 nonfinancial firms listed in six emerging capital markets in the Gulf Cooperation Council (GCC) member countries for the years 2015–2020. Data were extracted from sample companies' websites, stock markets, annual reports and Refinitiv database.

This study provides convincing evidence that effective ICGMs minimize inefficient investment and ultimately boost investment efficiency. The findings remain consistent even after considering the potential endogeneity bias.

This study provides empirical evidence on investment efficiency in the GCC region and emphasizes the importance of high-quality ICGMs in reducing inefficient investment. By examining the impact of ICGMs on investment inefficiencies, this study contributes to the corporate governance literature. The GCC region's unique economic and social contexts, with its growing economies, are considered to shed light on this issue.

Public listing of small and medium enterprises (SMEs) stimulates unremitting transformations into their corporate governance (CG) practices. These transformations in CG are likely to impact the financial performance (FP). The current study examines how individual corporate CG mechanisms and their mutual interactions (configurational approach) stimulate the FP of listed SMEs. The study selects promoters’ ownership (PO), the board (B-INX) and information disclosures (DISC) as individual CG mechanisms. In addition, market competition (COMP) is considered a form of external governance/regulation.

The study uses five years of panel data (2018–2022) of 80 SMEs listed on the Bombay Stock Exchange’s (BSE) SME listing platform in India. Panel data fixed effects and cluster robust standard errors estimated. In addition to the impact of individual CG mechanisms, their mutual interactions (configurational approach) are tested using moderated hierarchical regression and confirmed by slope tests.

The results signify the ineffectiveness of individual CG mechanisms when acting in silos. However, their mutual interactions drive the FP. A hierarchy of results is obtained. PO is the dominant form of internal CG, negatively influencing the relevance of B-INX and DISC. B-INX tends to adhere to good governance by positively moderating the impact of DISC on FP. Lastly, COMP acts as external governance that dominates the ownership effects. Findings reveal that the interactions among individual CG mechanisms are essential to the FP of listed SMEs. Such interactions adjust the agency theory dynamics of CG in these firms.

The study takes a holistic approach to investigate the agency theory dynamics via the mutual interactions among multiple CG forms. It highlights how the presence of a dominant form of CG can adjust the financial effect of others, thereby adjusting agency theory dynamics.

These results hold practical significance for SMEs in multiple ways. SMEs should embrace configurational approach to comprehend their agency dynamics. The configurational approach of CG mechanisms is the way forward for SMEs, which are known to be financially constrained. In other words, the fact that the resiliency of SMEs is very often questioned calls for the configurational approach, where different CG mechanisms coexist to drive FP.

The study is by far the first of its kind to investigate the CG of listed SMEs against the backdrop of the configurational approach. The findings will benefit industry practitioners, academics and regulatory bodies to visualize the governance practices through the lenses of configurational approach.

This study aims to investigate the impact of dividend policy on a firm’s participation in corporate social responsibility (CSR)-related activities in the context of Pakistani firms. Furthermore, the role of the board governance mechanism in dividend policy-CSR is investigated.

The study’s sample consists of 115 nonfinancial Pakistan Stock Exchange-listed firms from 2010 to 2021. A multidimensional financial method is used to assess the firm’s CSR engagement, and dividend policy is assessed using the dividend payout ratio and dividend yield. The authors used the fixed effect model and the random effect model to fulfill the study’s objectives. Furthermore, the system-generalized method of moment estimation technique is used to test the robustness of the result. In addition, the authors perform reverse causality analysis and investigate the effect of financial constraints on the dividend policy–CSR relationship.

The authors find that dividend policy has a significant positive impact on CSR. The authors also find that dividend policy is significantly positively associated with components of CSR, i.e. donation, employee welfare and research and development. Furthermore, the authors find that the board governance mechanism strengthens this positive relationship between dividend policy and CSR.

The government and authorities must mandate or at least encourage enterprises to pay dividends as doing so not only keeps shareholders happy but also encourages firms to make CSR initiatives to balance stakeholders. Furthermore, the regulator should take steps to strengthen the board governance structure as it strengthens the positive dividend policy–CSR relationship.

Although little previous research has focused on the CSR-dividend policy link, the authors believe that this is the first study to look at the influence of dividend policy on CSR and the moderating impact of board governance mechanisms in an emerging country, namely, Pakistan.

Although publicly listed firms in Sri Lanka have been increasingly adapting sustainability reporting into their annual reporting practices, a limited number of firms prepare sustainability reports by integrating sustainable development goals (SDGs) into reporting mechanisms. This study attempts to develop an index to monitor firms' sustainability reporting practices based on Global Reporting Institute (GRI) guidelines integrating SDGs.

This paper develops a sustainability score index using the 17 SDGs utilising the results of content analysis of corporate annual reports of a selected sample of 100 firms listed on the Colombo Stock Exchange (CSE). Principal component analysis was employed to examine the reliability of data in the developed index.

Findings show that the developed scoring index is efficient for evaluating the contents of the sustainability reports of Sri Lankan firms. Sustainability reporting practises with regard to the SDGs were observed to have a turbulent period from 2015 to 2019 and the SDGs 12 and 15 were identified to be mostly reported in Sri Lankan corporate sustainability reports.

The results of the study add to knowledge on the monitoring of sustainability reporting practises with reference to SDGs. The study outcomes are useful for the investors, stakeholders, and statutory bodies to measure the sustainable performance of business firms and assess the firm’s commitment towards the global sustainability agenda.

To the best of our knowledge, this is the first study that constructs a sustainability reporting score index integrating SDGs.

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

Might the impact of the financial stress on exchange markets be asymmetric and exposed to regime changes? Departing from the existing literature, highlighting that the domestic and foreign financial stress in terms of money market have substantial effects on exchange market, this paper aims to investigate the impacts of the bond yield spreads of three emerging countries (Mexico, Russia, and South Korea) on their exchange market pressure indices using monthly observations for the period 2010:01–2019:12. Additionally, the paper analyses the impact of bond yield spread of the US on the exchange market pressure indices of the three mentioned emerging countries. The authors hypothesized whether the negative and positive changes in the bond yield spreads have varying effects on exchange market pressure indices.

To address the research question, we measure the bond yield spread of the selected countries by using the interest rate spread between 10-year and 3-month treasury bills. At the same time, the exchange market pressure index is proxied by the index introduced by Desai et al. (2017). We base the empirical analysis on nonlinear vector autoregression (VAR) models and an asymmetric quantile-based approach.

The results of the impulse response functions indicate that increases/decreases in the bond yield spreads of Mexico, Russia and South Korea raise/lower their exchange market pressure, and the effects of shocks in the bond yield spreads of the US also lead to depreciation/appreciation pressures in the local currencies of the emerging countries. The quantile connectedness analysis, which allows for the role of regimes, reveals that the weights of the domestic and foreign bond yield spread in explaining variations of exchange market pressure indices are higher when exchange market pressure indices are not in a normal regime, indicating the role of extreme development conditions in the exchange market. The quantile regression model underlines that an increase in the domestic bond yield spread leads to a rise in its exchange market pressure index during all exchange market pressure periods in Mexico, and the relevant effects are valid during periods of high exchange market pressure in Russia. Our results also show that Russia differs from Mexico and South Korea in terms of the factors influencing the demand for domestic currency, and we have demonstrated the role of domestic macroeconomic and financial conditions in surpassing the effects of US financial stress. More specifically, the impacts of the domestic and foreign financial stress vary across regimes and are asymmetric.

This study enriches the literature on factors affecting the exchange market pressure of emerging countries. The results have significant economic implications for policymakers, indicating that the exchange market pressure index may trigger a financial crisis and economic recession.