The Ecuadorian electricity sector encompasses generation, transmission, distribution and sales. Since the change of the Constitution in Ecuador in 2008, the sector has opted to employ a centralized model. The present research aims to measure the efficiency level of the Ecuadorian electricity sector during the period 2012–2021, using a DEA-NETWORK methodology, which allows examining and integrating each of the phases defined above through intermediate inputs, which are inputs in subsequent phases and outputs of some other phases. These intermediate inputs are essential for analyzing efficiency from a global view of the system. For research purposes, the Ecuadorian electricity sector was divided into 9 planning zones. The results revealed that the efficiency of zones 6 and 8 had the greatest impact on the overall efficiency of the Ecuadorian electricity sector during the period 2012–2015. On the other hand, the distribution phase is the most efficient with an index of 0.9605, followed by sales with an index of 0.6251. It is also concluded that the most inefficient phases are generation and transmission, thus verifying the problems caused by the use of a centralized model.

The South African government has undertaken to expand universal access to Early Childhood Development (ECD) with a particular focus on children from socially disadvantaged communities and with disabilities. This requires training and support of ECD practitioners, such that they are equipped 399with the necessary knowledge and competencies to implement effective teaching and learning approaches at ECD level. This research explored an innovative, inclusive approach to ECD practitioner development in which both Deaf and hearing students were enrolled in an ECD practitioner training program facilitated jointly by New Beginnings (an ECD non-profit training organization) and the Deaf Federation of South Africa (DeafSA). The research scrutinized key aspects of the training program, including how it extended students content knowledge on ECD, their pedagogical knowledge; as well as epistemological access for Deaf students. The findings and conclusions have important implications not only for equipping ECD practitioners with knowledge and skills, but also demonstrates how practitioner training itself can be effectively structured to cater for diversity among trainees.

This study determines the efficiency and productivity of Mexico’s urban and rural municipalities in generating economic welfare between 1990 and 2020. It establishes the incidence of context and space on efficiency, using Data Envelopment Analysis, the Malmquist-Luenberger Metafrontier Productivity Index, and Nonparametric Regression. The results indicate that 4 of the 2456 municipalities analyzed were efficient, that productivity increased, and that context and space influenced efficiency. This highlights the need for policies that optimize resource utilization, enhance investment in education, stimulate local business development, encourage inter-municipal cooperation, reduce rural-urban disparities, and promote sustainability.

Our study focusses on the sustainable finance framework of the European Union. Given that the concept, target system and practical implementation of sustainability have become one of the top priorities, we consider it important to present in an understandable and simple form what activities and regulations have been created in this regard within the scope of the European Union’s common policy. Starting from the concept of sustainability, we analyse its significance. We examine the economic, social, corporate governance and environmental pillars and the European Green Deal based on them as foundations, as well as some prominent elements of sustainable finance: the Taxonomy, the Corporate Sustainability Reporting Directive, the Sustainable Finance Disclosure Regulation and the Union’s Corporate Sustainability Due Diligence Directive. We review the relationships and interactions of the above elements. We describe the sustainability objectives of the European Green Deal and the resources related to them, as well as the Sustainable Finance package of the European Commission. We also provide an overview of the regulatory details of the above-mentioned elements of EU law, thereby making the complex and complicated process of regulation transparent. These issues are relevant to Hungary and other EU member states located in Central and Eastern Europe and they have an effect on their policies.

This article measures the performance of listed commercial banks in Vietnam and identifies factors influencing their efficiency. The study follows a two-stage approach: (i) In the first stage, scale efficiency scores from 2016 to 2022 are assessed using the Data Envelopment Analysis (DEA) method; (ii) In the second stage, Tobit regression analyzes internal factors, macroeconomic conditions, and the impact of Covid-19. Key findings show that internal factors such as return on assets positively affect efficiency, while the ratio of equity to total capital has a negative and statistically significant impact. Bank size positively influences efficiency scores. Macroeconomic factors, including economic growth and inflation, were statistically insignificant. However, the Covid-19 pandemic had a significant negative effect on bank efficiency.

This study evaluated the performance of several machine learning classifiers—Decision Tree, Random Forest, Logistic Regression, Gradient Boosting, SVM, KNN, and Naive Bayes—for adaptability classification in online and onsite learning environments. Decision Tree and Random Forest models achieved the highest accuracy of 0.833, with balanced precision, recall, and F1-scores, indicating strong, overall performance. In contrast, Naive Bayes, while having the lowest accuracy (0.625), exhibited high recall, making it potentially useful for identifying adaptable students despite lower precision. SHAP (SHapley Additive exPlanations) analysis further identified the most influential features on adaptability classification. IT Resources at the University emerged as the primary factor affecting adaptability, followed by Digital Tools Exposure and Class Scheduling Flexibility. Additionally, Psychological Readiness for Change and Technical Support Availability were impactful, underscoring their importance in engaging students in online learning. These findings illustrate the significance of IT infrastructure and flexible scheduling in fostering adaptability, with implications for enhancing online learning experiences.