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The purpose of this paper is to examine the implementation of the verified gross mass (VGM) rules in Hong Kong.

The purpose of this paper is to compare the IMO Guidelines and the Guidelines produced by the Marine Department in Hong Kong.

The drafting of the Hong Kong Guidelines is not as clear and detailed as the International Maritime Organization (IMO) Guidelines.

Shipping companies should review their sea carriage contracts to see whether new clauses should be inserted to solve problems arising from the VGM requirement.

A research by direct analysis of the IMO and the Hong Kong Guidelines on the implementation of the VGM rules in the Safety of Life at Sea (SOLAS) is shown in this paper.

It is commonly known that numerous incidents of container security failure are detected on a daily basis for which nobody is held legally liable. This state of affairs is essentially due to the shippers providing erroneous information, either inadvertently or by design. However, none of the stakeholders such as the carrier, the port operator, the inland transporter or the dry port operator are saddled with the legal responsibility of verifying the correctness of the information provided by the shippers or moving against them legally for misrepresentation of facts.

This paper discusses the issue of container security from a legal perspective with a specific focus on the liability for security failure. While discussing the reasons for non-development of a globally standardized legal regime for container security, this paper also endeavors to suggest possible solutions for the abysmal state of affairs.

This state of affairs persists despite the shipper being saddled with the additional responsibility of providing documentary evidence of verified gross mass of the cargo stuffed in the container by International Maritime Organization.

There is apparently no visible legal action that appears to have been taken against the culprit responsible for the security failure. Thus, the loopholes in the existing legal regime are exploited by all concerned for commercial reasons.

China has invested massively in higher education, reaching a mass system, envisaging, as a next step, reaching a universal system. Brazil is still an elite system but needs to create adequate public policies to migrate to a mass system. The purpose of this article is to analyze the paradigms for a mass educational system, with regard to the quality of education offered, and the prospects for achieving a universal system, with Brazil and China as a reference.

The author applied an exploratory and qualitative method, through categorical content analysis. The data were collected through nine interviews with government managers, 15 unstructured (open) questionnaires to specialists in higher education and four student leadership.

The results indicate that the change from an elite system to a mass system impacts quality, as there is an inevitable change in experience. However, this modification does not testify against the mass system, as it is necessary for a nation to pass through it and structure itself adequately in order to reach the universal system, a path desired by both countries.

The study presented the reflections observed by the migration from the elite system to the mass system from the main stakeholders of the system in China and the prospects for Brazil to become a mass system. Additionally, it presented the perspectives for both countries to achieve the desired universal system.

Accurately estimating the severity of derailment is a crucial step in quantifying train derailment consequences and, thereby, mitigating its impacts. The purpose of this paper is to propose a simplified approach aimed at addressing this research gap by developing a physics-informed 1-D model. The model is used to simulate train dynamics through a time-stepping algorithm, incorporating derailment data after the point of derailment.

In this study, a simplified approach is adopted that applies a 1-D kinematic analysis with data obtained from various derailments. These include the length and weight of the rail cars behind the point of derailment, the train braking effects, derailment blockage forces, the grade of the track and the train rolling and aerodynamic resistance. Since train braking/blockage effects and derailment blockage forces are not always available for historical or potential train derailment, it is also necessary to fit the historical data and find optimal parameters to estimate these two variables. Using these fitted parameters, a detailed comparison can be performed between the physics-informed 1-D model and previous statistical models to predict the derailment severity.

The results show that the proposed model outperforms the Truncated Geometric model (the latest statistical model used in prior research) in estimating derailment severity. The proposed model contributes to the understanding and prevention of train derailments and hazmat release consequences, offering improved accuracy for certain scenarios and train types

This paper presents a simplified physics-informed 1-D model, which could help understand the derailment mechanism and, thus, is expected to estimate train derailment severity more accurately for certain scenarios and train types compared with the latest statistical model. The performance of the braking response and the 1-D model is verified by comparing known ride-down profiles with estimated ones. This validation process ensures that both the braking response and the 1-D model accurately represent the expected behavior.

The environmental deterioration has become one of the most economically consequential and charged topics. Numerous scholars have examined the driving factors failing to consider the structural breaks. This study aims to explore sustainability using the per capita ecological footprints (EF) as an indicator of environmental adversities and controlling the resources rent [(natural resources (NR)], labor capital (LC), urbanization (UR) and per capita economic growth [gross domestic product (GDP)] of China.

Through the analysis of the long- and short-run effects with an autoregressive distributed lag model (ARDL), structural break based on BP test and Granger causality test based on vector error correction model (VECM), empirical evidence is provided for the policies formulation of sustainable development.

The long-run equilibrium between the EF and GDP, NR, UR and LC is proved. In the long run, an environmental Kuznets curve (EKC) relationship existed, but China is still in the rising stage of the curve; there is a positive relationship between the EF and NR, indicating a resource curse; the UR is also unsustainable. The LC is the most favorable factor for sustainable development. In the short term, only the lagged GDP has an inhibitory effect on the EF. Besides, all explanatory variables are Granger causes of the EF.

A novel attempt is made to examine the long-term equilibrium and short-term dynamics under the prerequisites that the structural break points with its time and frequencies were examined by BP test and ARDL and VECM framework and the validity of the EKC hypothesis is tested.

This study aims to examine the relationship between female directors and bank risk. In particular, whether such a relationship varies across sound or unsound banks and with or without a critical mass of female directors is tested.

Using a sample of 215 listed banks from 40 countries over the period 2008–2016, this study carries out panel data analyses and tests all the model specifications on four different measures of risk (common equity ratio, leverage, NPLs ratio and price volatility).

The findings show that increasing the number of female directors does not reduce bank risk when banks are unsound. When banks are sound, female directors have a significant and positive role in reducing risk, only until reaching a critical mass of women.

This study provides useful corporate governance indications for policymakers and practitioners. Advantages of gender diversity on boards are recognized especially in sound banks, but increasing the number of women directors beyond the critical mass may not lead to lower risk. In fact, ethical or legal pressures aimed at increasing gender diversity on boards (i.e. soft or hard gender quotas) may cause undesired effects on bank risk, especially if female directors are not chosen on merit and skills. Moreover, gender-balanced boards, namely, with a “dual critical mass,” seem to assure more effective decision-making processes.

This study provides empirical evidence on female board members and risk minimization, differentiating between sound or unsound banks. Furthermore, this study contributes to the literature on the critical mass of women on the board of directors by testing this theory for these two categories of banks.

This study explored how board diversity affects environmental, social, and governance (ESG) performance in the Italian banking sector. Specifically, this study examined whether the presence of specific corporate governance (CG) characteristics (board diversity) in Italian Cooperative Credit banks is related to ESG dimensions.

The authors examined a sample of 247 Italian Cooperative Credit banks for the period 2017–2021 and developed an econometric model by applying unbalanced panel data with firm fixed effects and controls per year. To verify the research hypotheses, the authors analyzed board diversity in terms of board attributes variables (size, gender diversity, age, activity, independence and corporate social responsibility/sustainability committee (CSR) and measured ESG dimensions using the ESG score provided by Refinitiv.

The findings suggest that board size, independence and the existence of a CSR/sustainability committee positively affect banks' ESG performance, while no significant relationship between board average age and ESG performance was found. The study also explored how the critical mass of women on a board affects ESG performance by testing the positive impact of gender diversity on ESG dimensions only up to a certain threshold of female directors.

This study is highly relevant to managers and investors who consider ESG issues in their decision-making processes. The findings support regulators by offering insights into ways to improve ESG performance through the specific design and application of governance mechanisms.

From a practical perspective, this investigation has implications for both practitioners and regulators, suggesting that chief executive officers (CEOs) and managers should pay more attention to CG aspects to improve ESG performance and that policy-makers should give greater consideration to these aspects of CG in their efforts to enhance ESG performance.

This study offers an in-depth analysis of banks' ESG practices and attempts to bridge the gap in the literature on ESG in the Italian banking industry. This study is the first to investigate the relationship between CG variables and ESG dimensions in this context.

This study aims to statistically verify the links of income and education with information and communication technology (ICT) diffusion across 191 countries of the world taking into account a total of 9 indicators best representing the socio-economic variables.

Multivariate regression analysis was used as a prime method to rigorously test the relationships of income and education with ICT diffusion across 191 countries. Statistical Package for the Social Sciences (V. 22) was used to analyze and predict patterns in the data.

The results support the hypotheses that income and education are positively related to ICT diffusion. The findings statistically confirm that poverty is a leading cause of digital divide worldwide.

Academic, policy and practice groups should work in collaboration to fight against digital divide. Present results also imply that digital divide shall never end but rather it can be controlled to an extent with multiple collaborative efforts.

Prior research assignments on the digital divide concentrate on exploring the links between few socio-economic and ICT variables in select few regions theoretically. The present work addresses this literature gap by developing and testing two hypotheses to statistically investigate the relationships between a broad set of socio-economic and ICT indicators.

This paper aims to determine causal relationships between the level of productive credit, real deposits and money demand – all of them in real terms – and Gross National Product between 2006 and 2020.

The vector autoregressive technique (VAR) was used, where data from real macroeconomic aggregates published by the Central Bank of Ecuador (BCE) are correlated, such as productive credit, gross domestic product (GDP) per capita, deposits and money demand.

The results indicate that there is no causal relationship, in the Granger sense, between GDP and financial activity, but there is between the growth rate of real money demand per capita and the growth rate of total real deposits per capita.

The study shows that bank credit mainly finances the operations of current assets and/or liabilities. In addition, economic agents use the banking system mainly to carry out transactional and precautionary activities.

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?