Social Criteria Research Articles

A network design of a canola-to-biodiesel supply chain by considering the water-energy-food-land-ecosystem-undesirable climate change nexus

Global warming, adverse environmental consequences, and the rapid depletion of oil resources are some of the critical challenges that humanity presently confronts due to the utilization of fossil fuels. Replacing fossil fuels with renewable sources of energy such as biofuel is crucial for a clean environment. In addition to its numerous advantages, the production of biofuels has detrimental effects on natural resources as well. Water, energy, food, and land are all required to produce food and energy, which are inextricably linked as the essential inputs for agriculture and fuel production. Undesirable climate change and its impacts on ecosystems are also consequences of this process. This study offers a two-phase approach to designing a canola-to-biodiesel supply chain. The first phase is concerned with finding appropriate sites for canola cultivation in accordance with climatic, social, economic and design criteria. To achieve an ideal solution, the fuzzy best-worst method andthe fuzzy technique of order preference similarity to the ideal solution are simultaneously used. In the second phase, a new multi-objective integer programming model that involves a water-energy-food-land-ecosystem-undesirable climate change nexus is introduced. The suggested model enhances crop harvest from desirable agricultural areas, maximizes the profit, preserves ecosystem values, mitigates undesirable climate changes, and reduces water and energy consumption. An interactive fuzzy method is used to solve the model, and the efficiency of the proposed model is evaluated through a real case study for Iran. Sensitivity analyses are also performed on the key parameters. According to the findings, production activities are connected with the increase of network costs, adverse changes in climate, and increased use of energy. Thus, using high-yield catalysts, increasing the production scale, complying with environmental regulations, receiving government subsidies, investing in research to improve production technologies, and identifying cost-saving strategies can minimize harmful environmental effects and reduce biodiesel production costs, thereby boosting the profit. Furthermore, given Iran’s water scarcity and reduced rainfall, increasing the canola yield per hectare might lead to less land use and water consumption for irrigation. Utilizing specialized machinery, enhancing farmers’ skills in canola cultivation, supplying seeds on time, planting promptly, providing optimal nutrition, and promoting pest management are all effective methods to boost canola yields. The insights provided in this study can help managers in the canola-based biodiesel production sector make better decisions.

Risk Comparison of Hurricane Scenarios as Disruptions of Hydrologic Basin Order with Social Vulnerability Criteria

Risk Comparison of Hurricane Scenarios as Disruptions of Hydrologic Basin Order with Social Vulnerability Criteria

Circular-ESG Model for Regenerative Transition

This paper presents a novel circular-ESG framework integrating circular economy (CE) principles with environmental, social, and governance (ESG) criteria to address the lack of uniform sustainability measures. We introduce normalized sustainability coordinates (NSCs) as a comprehensive metric for sustainability performance, reconciling economic development with environmental balance. The circular-ESG model employs a four-quadrant Cartesian system to map business model impacts on natural and socio-economic systems, ranging from linear open-loop to circular closed-loop ESG models. This framework enables empirical analysis through data-driven NSCs (−1 to 1) and establishes temporal key performance indicators. By incorporating the Human Development Index within ecological limits, the model promotes regenerative development aligned with planetary boundaries. The circular-ESG approach offers a practical tool for businesses, households, organizations, and policymakers to navigate sustainable development complexities. This integrated framework fosters innovation and supports a just transition towards regenerative practices, providing a roadmap for high human development within ecological limits. The circular-ESG model advances sustainability science and management, contributing to the discourse on measuring and implementing sustainable practices across sectors and scales. The model is currently conceptual; we encourage empirical validation and further research to explore its practical applications and effectiveness in real-world scenarios. While the provided examples of use cases serve as conceptual demonstrations, future research could empirically apply the model to real-world data.

Assessing Sustainability Performance of Community-based Fish Farming Cooperatives: A Comprehensive Checklist

Cooperative fisheries are increasingly recognized as a promising approach for small-scale fisheries management. However, there is a lack of empirical evidence on the key elements that drive sustainability within these cooperatives. This survey study aims to develop a sustainability performance checklist tailored for fisheries cooperatives throughout their lifecycle. Initially, a preliminary list of five-point Likert scale sustainability factors was created and reviewed through interviews with experts from both fisheries academic and executive sectors. Their feedback contributed to refining the checklist, ensuring its relevance, clarity, and simplicity. Experts from both the academic and executive sectors of fisheries cooperatives have confirmed the content validity of the economic, social, and environmental criteria included in the checklist. The data collected across 61 cooperatives. To identify the key factors influencing the sustainability performance of fisheries cooperatives throughout their lifecycle, a factor analysis was performed, employing the Varimax rotation method. The findings indicate that economic considerations are the primary focus during the initial establishment of fisheries cooperatives. As these cooperatives evolve through the growth and consolidation phases, social factors become increasingly significant. Additionally, the study highlights the essential role of environmental aspects in maintaining the stability and balance of these cooperatives. The research underscores the interdependence of economic, social, and environmental elements in fostering the sustainability of fisheries cooperatives. These insights are particularly relevant for policymakers, managers, and stakeholders in fisheries management. Furthermore, the developed sustainability performance checklist and weighting system can effectively assist in assessing and enhancing the sustainability of fisheries cooperatives.

Data-driven planning in socially responsible textile units amidst uncertainty

Social responsibility is a key factor for organizations to achieve sustainable success in the modern competitive market. This study proposes a hybrid VIKOR method to evaluate textile suppliers based on their social performance under uncertain and multi-objective conditions. The method can handle fuzzy, stochastic, and interval data simultaneously. The social criteria for the evaluation are derived from the literature review, the SA8000 standards, and the United Nations’ recommendations. Some of the criteria are also aligned with the World Bank’s Social Responsibility Diamond Model and the United Nations’ Sustainable Development Goals. Moreover, this study presents a fuzzy mathematical model for fabric purchasing that incorporates social criteria and the quality level into the optimization process. A goal programming method is developed based on the mathematical properties of the multi-objective model. A numerical study is conducted in the textile industry to demonstrate the efficiency and effectiveness of the proposed approaches. A comprehensive sensitivity analysis has been performed to investigate the behavior of the presented mathematical model under different conditions, and the results have been discussed concerning the insights for managers and stakeholders in the textile industry. The proposed model demonstrates that: 1) Customer demand and fabric orders have a direct relationship with increasing sales. 2) The fabric unit price has a direct impact on the quality value and requires cost control policies or pricing negotiations with suppliers. 3) Improving supplier and customer relations and formulating pricing consistent with social value are among the most important issues for the success of the textile and clothing industry. The best-fitting line successfully explains the variability of social performance and customer demand with an accuracy of 99.35 %.

Identifying the optimal type and locations of natural water retention measures using spatial modeling and cost-benefit analysis

Water management has shifted from solely technical and engineering approaches towards nature-based solutions (NBS), like natural water retention measures (NWRM), offering benefits beyond hydrology, such as improved well-being and biodiversity conservation. Determining the best type and location of these measures is challenging due to diverse options with varying benefits and effects depending on measure type and location characteristics. While most studies regarding the optimal allocation and implementation of NBS focus on the urban environment, this study presents a methodology for decision-makers focusing on inter-urban regions with limited data on NWRM implementation. Through hydrological modeling and cost-benefit analysis (CBA), we identify Pareto optimal NWRM sites and types, considering water quantity and quality alongside economic, environmental, and social objectives. We defined optimal locations that seek the most significant reduction of runoff, sediment, and pollutants, whilst optimal NWRM types are defined to seek the most cost-effective measures based on hydrological, ecological, and social criteria. Using the Open Non-point Source Pollution and Erosion Comparison Tool (OpenNSPECT), we simulated increased infiltration in different inter-urban areas and identified the optimal placement. The criteria for selecting suitable NWRM types for the identified areas are derived from the EU Directorate General for the Environment (DG-ENV) NWRM database. The results show different effective areas for reducing runoff, sediment, and pollutants. While one NWRM (natural bank stabilization) was identified as most beneficial for reducing sediment, several measures were selected for runoff reduction. Interestingly, measures with high potential for pollutant reduction seem to offer limited social and biodiversity benefits, suggesting conflicting objectives and highlighting the importance of accounting for multiple criteria. By employing simplified models and qualitative benefit assessments, this paper presents a practical decision-making approach to facilitate NWRM implementation in data-scarce areas.

The Effects of Organizational Citizenship Behavior on Perceived Quality of Faculty Life: The Mediation Role of Perceived ICT Competencies

This study endeavors to explore the intricate relationship between organizational citizenship behavior and perceived quality of faculty life within the higher education sector in Palestine, with a specific focus on incorporating information and communication technology as a mediator in the link. The research encompasses a comprehensive examination of data collected from a sample of 355 faculty members affiliated with 11 universities in Palestine, employing both SPSS and Partial least squares structural equation modelling (PLS-SEM) using SmartPLS 4 software for analysis. The study findings revealed a substantial and direct impact of organizational citizenship behavior on both information and communication technology and perceived quality of faculty life. Also, establish a statistically significant association between information and communication technology and perceived quality of faculty life. Importantly, information and communication technology emerge as a partial mediator in the nuanced link. Moreover, this study contributes to the discourse surrounding the quality of life among faculty members in the higher education sector. It also sheds light on incorporating social criteria in higher education intuitions and emphasizes the potential of information and communication technology (ICT) to contribute to achieving university goals. Theoretical and practical implications are discussed.

If I Share With You, Will You Share With Me? A Quasi-Experimental Study on Social Anxiety and Self-Disclosure in Dictator Game.

Social anxiety is characterized by a constant fear of negative evaluation, falling short of standards, low perceived likeability, and difficulties meeting social criteria. Using a quasi-experiment and a zero-acquaintance paradigm, this paper examines sharing behavior, which is represented by the willingness to give money in a Dictator Game. It explores gender and social anxiety differences related to this behavior, in terms of who is prone to receive more money. In addition to this, we investigated how the receiver's self-disclosure (positive or negative) influences the dictators' sharing behavior. Based on the original version of Dictator Game, involving a dictator and a receiver, one hundred and five adolescents aged 12-15, played Dictator Game in which they divided coins between themselves and the receiver. Our findings indicate that self-disclosure led to positive and gradual changes for non-anxious speakers. The anxious boy consistently achieved the highest money rate among all speakers, while the anxious girl received the lowest. However, her self-disclosure resulted in an increase in receiving. Across all situations, respondents reported slightly increased feelings of guilt and shame. Taken together, this study sheds light on adolescents' giving behavior by examining the interaction between adolescents' social traits and diverse social contexts throughout their developmental stages, ultimately influencing prosocial decision-making.

Integration of sustainable development goals in the field of process engineering through active learning methodologies

The purpose of this paper is to integrate the Sustainable Development Goals (SDGs) in the outlines of a Master's Degree in Industrial Engineering using active learning methodologies. The main objective of this integration is to favor sustainable human education and to increase students’ awareness and responsibility towards future generations from the chemical engineering point of view. Within the process engineering course, the students must design a chemical process using technical, economic, social and environmental criteria. Active learning methodologies were gradually introduced in different academic courses (Project-Based Learning, Collaborative Work and Flipped Classroom) and finally SDGs were implemented in the 2020–21 academic course. A synergetic effect with the active learning methodologies was observed, increasing the motivation of the students and the academics, and the complexity of the projects performed by students. The introduction of the SDGs improved academic results, which was reflected in the absence of failures and a decrease in the percentage of students passing with the lowest grade from 16 % to 10 %. Moreover, students report that this project significantly enhanced their knowledge of the SDGs related to energy and climate change; students having low or very low knowledge about SDGs were reduced to 7 % as compared to the initial 45 %.

Onboard carbon capture and storage (OCCS) for fossil fuel-based shipping: A sustainability assessment

Limiting the carbon intensity of maritime transport is crucial to meet 2050 net-zero targets. Onboard carbon capture and storage (OCCS) offers a practical short-term solution for reducing shipping-related CO2 emissions until cleaner technologies are ready for large-scale adoption. This study introduces an innovative multi-objective approach to integrate sustainability into the conceptual design and decision-making phases of OCCS. A systematic technology screening identified possible OCCS solutions, which were then assessed for onboard feasibility. Specific indicators were defined to evaluate OCCS performance based on technological, economic, environmental, and social criteria, and aggregated sustainability perspectives. Using a fossil fuel-powered cruise ship as a case study, results were benchmarked against zero-carbon alternatives. Among the alternatives considered, chemical absorption by amine scrubbing (AS) and advanced cryogenic carbon capture (A3C) appeared as the only feasible solutions considering onboard energy requirements. The emerging cryogenic A3C concept resulted in being outperformed by benchmark AS, primarily due to an environmental impact 1.5 times higher. All alternative technologies, whether OCCS- or cleaner fuel-based, were found to be more sustainable than the baseline fossil fuel-based engine, lowering the environmental impact by at least 61%. Hydrogen as a marine fuel leads to the most promising scenario for future cleaner shipping operations, reducing the sustainability footprint by up to 76%. The robustness of the proposed method was confirmed by a probabilistic Monte Carlo sensitivity analysis. Overall, the results obtained can guide toward more informed solutions and policies promoting the sustainability of ship propulsion systems.

Evaluation of Corporate Sustainability Performance through the Integration of ESG and Balanced Scorecard in Manufacturing Companies in Surabaya

This study evaluates the corporate sustainability performance of manufacturing companies in Indonesia by integrating Environmental, Social, and Governance (ESG) criteria with the Balanced Scorecard (BSC). Using a quantitative analysis approach, data were collected from 200 manufacturing companies through a structured questionnaire employing a Likert scale ranging from 1 to 5. Structural Equation Modeling with Partial Least Squares (SEM-PLS 3) was utilized for data analysis. The findings indicate that all relationships between ESG criteria and BSC perspectives are positive and significant, suggesting that incorporating ESG factors into the BSC framework can effectively enhance corporate sustainability performance. This research contributes to the understanding of how ESG integration within traditional performance measurement tools can drive sustainable business practices in the manufacturing sector.

Sustainability and firm value: A multivariate regression analysis in the clothing industry

Firms, recognizing their Corporate Social Responsibility (CSR), are becoming catalysts for societal change by integrating Environmental, Social and Governance (ESG) criteria into their activities. The fashion industry exemplifies this effort, with an increasing number of companies embracing sustainability and ethical practices. In this context, our purpose is to provide a clear and comprehensive picture of the link between sustainability and business performance in the fashion industry. This work presents a Multivariate Regression Analysis, scrutinizing both external perspectives through stock prices and internal perspectives via profitability indices. Our aim is to discern the intricate relationship between sustainability practices and financial performance within the fashion industry, aligning ESG criteria with long-term economic success. Our regression analysis reveals a significant positive correlation between ESG scores and stock prices, indicating investor recognition of ESG performance as a crucial investment criterion. However, when focusing internally on profitability, the ESG score does not exhibit statistical significance, suggesting a yet-to-be-established connection between ESG policies and corporate profitability. This study underscores the evolving role of companies as sustainability promoters, emphasizing the crucial role of ESG performance in shaping investor perceptions. Nevertheless, it also highlights the need for further exploration into the intricate relationship between sustainable policies and corporate profitability. As businesses increasingly embrace sustainability, in fact, it could become paramount for informed decision-making and fostering ethical societal and environmental progress.

China's onshore wind energy potential in the context of climate change

China has great potential for developing renewable energy to achieve its carbon neutrality goals. Orderly development of renewable energy is essential to enhance resource utilization efficiency and ensure safety during the energy system transition process. This study presents a thorough assessment of China's onshore wind power potential by considering the land suitability, the potential and temporal characteristics, and the impacts of climate change. The high-resolution maps combining wind resources with land conditions and climate scenarios are produced to provide insights into system planning, grid integration, and flexibility management. The results show that the capacity potential of onshore wind energy in China is 9.6 TW with an annual generation of 12.6 PWh, and 83 % of total capacity has a cost advantage with the levelized cost lower than the 60 $/MWh threshold. By comprehensively considering geographical, economic, and social criteria, around 8.1 % of the national territorial area is identified as the most suitable area for wind power development, primarily in Inner Mongolia and Xinjiang. The annual electricity generation from these areas can fulfill nearly 69 % of the nation's electricity demand. Future climate change projections indicate a remarkable generalized drop by 18 % in the north and a slight increase by 7 % in the south under the RCP 8.5 scenario. However, significant changes in wind resources are mostly within restricted areas, suggesting that future climate change would like to bring negative but limited impacts on wind power production in China.

Multi-objective sustainable flexible job shop scheduling problem: Balancing economic, ecological, and social criteria

Industry 5.0 makes it imperative to reevaluate the manner of using resources in manufacturing systems to ensure sustainability. In this context, scheduling problems are encountering new environmental and human-related challenges, and the concept of sustainable scheduling has gained importance, aiming to balance economic, environmental, and human factors. In this paper, we propose two multi-objective mathematical models to simultaneously address these three factors as objective functions. In the first model, we consider the operator safety while using the Occupational Repetitive Action (OCRA) index to assess ergonomic risks related to task execution. The second model includes workers’ preferences in terms of machines, shifts and task variety. The objective is to improve the general well-being of workers by proposing a schedule that respects as much as possible their preferences. Both models integrate the travel time of workers and products between machines. To solve these NP-hard scheduling problems, we use the Non-dominated Sorting Genetic Algorithms II and III (NSGA-II and NSGA-III), enhanced with a Q-learning strategy for parameter selection and a variable neighborhood search based on reinforcement learning. The obtained results provide a comprehensive analysis of the interactions between these criteria, demonstrating the capability of such approach to achieve a favorable balance between multiple objectives while addressing the new challenges of production scheduling in Industry 5.0 context.

THRIVING IN THE SWEET SPOT: EXPLORING THE DOUGHNUT ECONOMY MODEL OF MALAYSIA, THE PHILIPPINES, AND VIET NAM THROUGH THE SUWI ANALYSIS (2010-2019)

Objective: The objective of this research is to evaluate whether Malaysia, the Philippines, and Viet Nam are within the doughnut economy from 2010 to 2019 using the sustainability window approach and to compare their levels of development. Theoretical Framework: This study is based on the Doughnut Economics Framework by Kate Raworth. This study explores literature that shows the relationship between economic well-being, social well-being, and environmental well-being. Method: The methodology used in evaluating these countries’ adherence to environmental and social well-being criteria is the Sustainable Window Analysis by quantifying the maximum and minimum economic development required for social and environmental sustainability by integrating socio-economic and environmental indicators to assess compliance with Doughnut Economics' social foundations and planetary boundaries. Results and Discussion: Results indicate that Malaysia achieved the sustainable window for all indicators except for healthy life and greenhouse gases. Viet Nam failed regarding healthy life, biodiversity, and clean energy. The Philippines failed in all environmental well-being indicators except for land use. Research Implications: These findings apply to policy-making by targeting areas that could not meet the sustainable window. It also reveals the applicability of the Doughnut Model to developing countries in ASEAN. Originality/Value: This study contributes to the literature by filling literature gaps by providing significant results to future researchers planning to conduct future research in line with sustainable development and Doughnut Economics of a particular country of their choice.

Contract award criteria in public procurement procedures – The possibility of improving the situation of society from the perspective of the European Union and Poland

Background Public tenders are vital for a country’s GDP and citizens’ quality of life, enabling public administration to achieve various goals. Developing and developed countries allocate over 10% of their GDP to public procurement. This highlights the significant societal support public tenders can provide, making it important to consider how they can further benefit society. Policy and implications Public procurement can achieve policy objectives and benefit society by selecting tenders based on criteria beyond price, such as economic advantage and social benefits. This approach, endorsed by EU directives since 2014, encourages innovation and socially responsible practices. Contracting authorities in the EU can use social, environmental, and qualitative criteria to determine the most advantageous offers. Poland’s Public Procurement Law (PPL) allows contract award criteria based on quality and price, including social aspects. Contracting authorities can specify criteria like employing marginalized groups, though these criteria often face scrutiny and legal challenges. Non-price criteria aim to enhance competition and achieve social, environmental, and economic goals. Recommendations EU and Polish laws permit and encourage using social aspects as contract award criteria in public procurement. However, contracting authorities must analyze priorities, risk balancing, time constraints, and departmental coordination to effectively implement these criteria. This approach can improve the social situation and support specific groups. Conclusions Public procurement significantly influences a country’s economy and quality of life, with EU and Polish laws allowing social criteria in contract awards. Directive 2014/24/EU supports tenders based on economic and social benefits. Poland’s PPL aligns with this, emphasizing marginalized group employment. Effective implementation fosters job creation, social integration, and improved living standards.

Developing Islamic-sustainable and responsible investment (i-SRI) criteria based on the environmental, social and governance (ESG) concept

Purpose The practices of sustainable and responsible investment (SRI) among Islamic financial institutions (IFIs) nowadays still rely on the existing environmental, social and governance (ESG) criteria. However, based on observation, some of the existing criteria listed by the reports of certain authorities and organizations do not seem to be aligned with Shariah principles. Therefore, this study aims to investigate those criteria to help develop Islamic-SRI (i-SRI) criteria based on the ESG concept. Design/methodology/approach This study adopted the qualitative method via content analysis of documents and interviews with experts. Findings Based on the analysis, a set of i-SRI criteria is developed based on the ESG concept, of which 33 elements are environmental, 50 elements are social and 26 elements are governance issues. Overall, this study finds that there is no obvious contradiction with the Islamic philosophy in the existing ESG criteria, with the exception of four criteria, i.e. promoting human rights, freedom of expression, freedom of censorship and freedom of association under social criteria. These four existing criteria are not aligned with Islamic teaching and not appropriate with Islamic ESG criteria. Practical implications The creation of Islamic ESG criteria can assist relevant authorities to improve the current ESG criteria and to embed an Islamic perspective within it. Originality/value This study developed a set of i-SRI criteria, which may be suitable as a source of reference to relevant parties.

Factors affecting the downturn of traditional livestock husbandry in local communities of northwestern rangelands of Iran

Currently, a combination of natural and human factors has led to the lack of cost-effective production, resulting in the downturn of traditional animal husbandry (DTLH) in rural regions. This research aims to investigate the factors contributing to the DTLH in indigenous communities in northwestern Iran. The statistical population consisted of pastoralists residing in the villages of Namin-Ardabil, Iran. The research method employed was descriptive-analytical, and a questionnaire was used as the data collection tool. The sample size was determined by selecting approximately 5–10% of households in each village, preferably the household head. Friedman's test was utilized to prioritize the most significant factors influencing DTLH. The findings reveals that the most crucial economic criteria contributing to the DTLH were “the high cost of providing inputs and fodder required for livestock (mean rank = 11.12),” “more economic opportunities and access to well-paying employment opportunities in the city (mean rank = 8.99)”, and “low profit from livestock farming in the rangeland (mean rank = 10.60)”. Moreover, the most important social criteria were “uncertainty regarding the future well-being of children and the social and economic situation in the village (mean rank = 14.12)”, “motivation for academic and career development in urban areas (mean rank = 14.10)”, and “access to specialized and professional training opportunities in cities (mean rank = 13.80)”. Furthermore, the most crucial ecological criteria impacting the DTLH were “drought” (mean ran = 7.96)” and “non-implementation of range management plans and grazing permits” (mean rank = 6.07)”. In general, the results indicated that the ecological criteria had the highest impact on the DTLH, followed by social and economic criteria, with values of 41.1%, 34.6%, and 24.29%, respectively. Overall, understanding the challenges faced by traditional livestock husbandry and identifying the factors contributing to its decline is crucial for developing effective strategies to support and sustain this industry in rural areas.

Enhancing sustainable development in the energy sector through strategic commercial negotiations

Sustainable development in the energy sector necessitates a delicate balance between economic growth, environmental stewardship, and social well-being. Strategic commercial negotiations play a pivotal role in achieving this balance, facilitating agreements that align with sustainable development goals (SDGs). This paper explores the intersection of commercial negotiations and sustainable energy practices, emphasizing how strategic negotiations can drive progress towards sustainability. In the contemporary energy landscape, the shift towards renewable energy sources and the implementation of green technologies have become imperative. Effective commercial negotiations are essential in securing investments, fostering partnerships, and establishing frameworks that support the adoption and integration of sustainable practices. Key negotiation strategies include the incorporation of environmental, social, and governance (ESG) criteria, long-term planning, and the adoption of flexible yet robust contract structures. ESG considerations ensure that negotiations address not only financial outcomes but also the broader impact on society and the environment. By prioritizing ESG factors, negotiators can promote responsible business practices that mitigate environmental risks and enhance social benefits. Additionally, long-term planning in negotiations enables stakeholders to align their objectives with global sustainability targets, such as the Paris Agreement and the United Nations SDGs, ensuring that energy projects contribute positively to climate action and sustainable development. The adoption of flexible contract structures is also critical. These structures should accommodate technological advancements and evolving regulatory frameworks, allowing for adaptive management of energy projects. Such adaptability is crucial in a sector characterized by rapid innovation and changing market dynamics. Furthermore, collaborative approaches in negotiations, involving multiple stakeholders including governments, private sector entities, and civil society, can foster inclusive and transparent decision-making processes, enhancing the legitimacy and acceptance of negotiated agreements. In conclusion, strategic commercial negotiations are instrumental in advancing sustainable development in the energy sector. By integrating ESG criteria, long-term planning, and flexible contract structures, negotiators can secure agreements that not only drive economic growth but also promote environmental sustainability and social equity. This approach ensures that the energy sector can contribute effectively to global sustainability goals, creating a resilient and sustainable future. Keywords: Energy Sector, Enhancing, Sustainable Development, Strategic, Commercial Negotiations.

Exploring The Impact of Participation in Badminton Programs on Psychological Well-Being and Social Development Among Youth

This study examined how badminton activity affected young people's psychological well-being and social development. The study included 200 participants from varied demographic backgrounds who were evaluated on various psychological and social criteria. Participation in badminton was found to considerably increase self-esteem, reduce stress, develop a sense of success, improve anxiety management, and boost social ties. Additionally, the activity significantly impacts social development by enhancing communication skills, leadership qualities, sportsmanship, cultural awareness, and inclusion. Significant variations were found depending on years of playing experience, with those with more participation reporting more tremendous psychological and social advantages. However, no significant changes were discovered depending on gender. The study also found a substantial positive association between psychological well-being and social development, showing that advances in one area were strongly related to improvements in the other.