The study examines the dichotomy between individual dietary autonomy and the broader implications of food overconsumption and waste, particularly focusing on meat consumption’s environmental, health, and social equity aspects. In the context of increasing awareness about the negative impacts of excessive meat consumption, this research explores the potential benefits of modest dietary shifts, specifically a reduction in animal product intake, on natural resources and the environment. Utilizing data from international and Romanian sources, including data about meat environmental impacts, in original research, the article analyzes the water, carbon, and land use footprints associated with different types of meat, emphasizing the significant differences between beef, pork, chicken, and sheep meat. The findings highlight that even a small reduction in meat consumption, such as 100 g per week per capita, can lead to substantial decreases in water use, carbon emissions, and land use, underscoring the importance of sustainable eating habits. Moreover, the study explores the potential of plant-based proteins as viable nutritional alternatives that can mitigate environmental footprints and foster global food security. Conclusively, this work advocates for a balanced approach that respects individual choices while promoting collective responsibility towards sustainable consumption patterns, emphasizing the role of scientific research and public awareness in driving positive change in dietary habits for environmental conservation and health benefits.

The slowdown in global progress toward the Sustainable Development Goals (SDGs) highlights the need to develop systems thinking, sustainability literacy, and ethical responsibility among higher-education students. The article presents an innovative educational approach, applicable in various university contexts, which involves the analysis of interdependencies between SDG 2: Zero Hunger and the other SDGs. The methodology included teamwork, brainstorming, a bidirectional analysis of the links between SDG 2 and the other SDGs, and the production of visual materials, and public presentations were followed by interactive debates and collective feedback. The case study presents an innovative educational approach and includes a component for assessing student perceptions through the application of an anonymous questionnaire. The results showed that this method significantly contributed to the development of critical thinking, the capacity for systemic analysis, and a deep awareness of global issues related to food security. The students’ perception was predominantly positive; they appreciated the practical usefulness and personal impact of the educational activity. The conclusions support the transferability of this educational method in various academic contexts, demonstrating that the analysis of interdependencies between SDGs represents a valuable tool for developing transversal skills and a sustainable ethic necessary for future professionals involved in addressing the complexity of global challenges.

The objective of this study is to investigate the impact of geo–climate and socio–economic influences on water use efficiency in cotton crops. Consequently, the current water demand for cotton has substantially increased, posing significant threats and challenges to crop productivity. This study uses an annual time series data set for two provinces of Pakistan. For this purpose, an auto regressive distributed lag (ARDL) model is used for data analysis. According to the study's findings, there is a significant relationship between environmental conditions and water consumption efficiency. Additionally, empirical findings show that the country's water–scarce regions are primarily virtual water–importing zones, whereas several provinces in the north and west are water–selling regions. Negative effects will be significantly more prominent in less fortunate, more sweltering, and lower–lying nations. This study is aimed at having a better understanding of the reasons for climate change, which further causes economic costs. Also, to know how, as human beings, we can overcome this problem soon. While some variables exhibit positive correlations, others reveal negative relationships, highlighting the need for sustainable resource management. This transition can lower agricultural emissions and enhance resilience against climate shocks, paving the way for a more sustainable future.

This research examines the evolution of female entrepreneurship and identifies future directions through a systematic bibliometric analysis of existing literature. Female entrepreneurship plays a crucial role in economic and social development, having both positive effects and specific challenges. The purpose of this study is to assess the trends and opportunities in this field, as well as to analyze the impact of female entrepreneurship on organizational competitiveness. Using the recognized academic database (Web of Science (WoS)), relevant literature is collected to obtain an overview of previous research. The methodology involves the application of bibliometric tools to assess scientific production, frequency of citations and influence of key authors. Analyzing these data, the research identifies collaborative networks between researchers and emphasizes the importance of studying female entrepreneurship in the context of organizational competitiveness. The results highlight not only the progress made in this field, but also the opportunities and future directions in female entrepreneurship research.

The slowdown in global progress toward the Sustainable Development Goals (SDGs) highlights the need to develop systems thinking, sustainability literacy, and ethical responsibility among higher education students. The article presents an innovative educational approach, applicable in any university context, which involves the analysis of interdependencies between SDG 2: Zero Hunger and the other SDGs. The methodology included teamwork, brainstorming, bidirectional analysis of the links between SDG 2: Zero Hunger and the other SDGs, the production of visual materials and public presentations, followed by interactive debates and collective feedback. The results showed that this method significantly contributed to the development of critical thinking, the capacity for systemic analysis, and a deep awareness of global issues related to food security. The perception of the students was predominantly positive, they appreciated the practical usefulness and personal impact of the educational activity. The conclusions support the transferability of this educational method in various academic contexts, demonstrating that the analysis of interdependencies between SDGs represents a valuable tool for developing transversal skills and forming a sustainable ethic necessary for future professionals involved in addressing the complexity of global challenges.

Tourism destination recommender systems (TDRSs) have become pivotal for reducing information overload and supporting personalized destination choice in digital tourism ecosystems. However, the field remains methodologically fragmented, spanning heterogeneous data sources (e.g., reviews, clicks, contextual signals), modeling paradigms (e.g., hybrid, semantic/ontology-based, deep learning), and evaluation practices. This scoping review maps the research landscape and derives an evidence-guided thematic structure of TDRSs. We conducted a structured search in the Web of Science Core Collection using the query “tourism destination” AND “recommender system,” yielding a corpus of 223 records. Following PRISMA-ScR principles, we charted bibliographic metadata, publication types, venues, and author keywords/Keywords Plus. To generate an interpretable thematic map, we applied (i) co-word analysis on combined keyword fields to detect topical communities, (ii) bibliographic coupling to identify research fronts, and (iii) a narrative synthesis of representative papers per cluster. The resulting taxonomy highlights recurring clusters such as context-aware/mobile destination guidance, semantic and ontology-driven recommendation, hybrid and multi-criteria decision support, social media and sentiment/emotion-aware recommendation, and deep learning for intent-aware travel recommendation. By consolidating these clusters, the review clarifies how methodological choices align with tourism decision constraints (time, location, weather, group travel) and provides a roadmap for future evidence-based studies, including reproducible benchmarks, explainability, and robust evaluation protocols.