This study investigates perceptions of greenwashing within Indonesia's burgeoning fintech sector from the viewpoints of consumers and industry professionals. The research employs a stratified purposive sampling technique to ensure representation across diverse demographics familiar with fintech services. Purposive sampling identified and selected 18 consumers and 24 industry professionals with specific expertise relevant to fintech. Both groups participated in Likert-scale surveys designed to gauge their perceptions of greenwashing across various dimensions: product transparency, social responsibility, environmental impact, ethical investment options, and green marketing practices. Findings reveal generally positive consumer views towards product transparency (4.0), social responsibility (4.2), and green marketing practices (4.5), with more tempered ratings for environmental impact (3.5) and ethical investment options (3.8). Similarly, industry professionals rated product transparency (4.2), social responsibility (4.1), and green marketing practices (4.3) positively, with slightly higher ratings for environmental impact (3.9) and comparable ratings for ethical investment options (3.7). Hypothesis testing indicates significant disparities between consumer and professional perceptions, particularly concerning trust in fintech claims and perceived sustainability impacts. The study underscores the need for fintech firms to enhance transparency and ethical standards to bolster consumer trust and align with industry expectations. Ultimately, this research contributes to a deeper understanding of greenwashing within fintech, offering insights for industry stakeholders and policymakers to foster sustainable practices.

This study focuses on enhancing energy resilience in Repulse Bay, a remote community in Nunavut, facing significant power challenges due to the reliance on aging diesel generators. To address these issues, this research explores the development of sustainable hybrid energy systems using HOMER Pro. The optimization results identify a configuration integrating wind turbines and solar panels as the optimal techno-economic solution. The expected outcomes include a substantial reduction in greenhouse gas emissions, increased reliability of energy supply, and significant economic benefits. The proposed hybrid energy system achieves a net present cost of $20.66 million while significantly increasing the renewable energy fraction to 75%. This system drastically reduces greenhouse gas emissions by 60%, aligning with Canada’s goal of achieving net-zero emissions by 2050. Additionally, the implementation of this system is projected to create 149 jobs, thus supporting local economic growth. The findings highlight the potential for similar Arctic communities to transition to renewable energy, contributing to global renewable energy efforts. This study not only demonstrates the viability of hybrid energy systems in reducing environmental impact and operational costs but also underscores their broader implications for sustainable development in other remote Arctic regions and beyond. By adopting such systems, Arctic communities can significantly enhance their energy resilience, reduce their carbon footprint, and stimulate economic growth, thereby aligning local initiatives with global sustainability goals.

In response to the global momentum toward carbon neutrality, the concept of “zero carbon" parks has gained significant attention in the energy and construction sectors. While existing research primarily focuses on optimizing standalone energy systems, a comprehensive methodological framework for evaluating the planning and management of integrated energy systems (IES) within zero-carbon parks remains underexplored. This study addresses this gap by examining the challenges inherent in the zero-carbon transformation of parks and proposing a multi-dimensional assessment index system tailored to IES. The evaluation framework encompasses five critical dimensions: environment, technology, economy, energy, and sustainability. To accurately determine the relative importance of these dimensions, the Analytic Hierarchy Process (AHP) and the Criteria Importance Through Intercriteria Correlation (CRITIC) method are employed for initial weight assignment, which is subsequently refined through game theory optimization. The fuzzy comprehensive evaluation method is then utilized to rigorously assess the benefits of IES across the planning, construction, and operational phases of zero-carbon parks. The findings highlight that the planning and operational stages are of greater significance than the construction phase. Specifically, the planning stage prioritizes environmental impact and technical advantages, while the operational phase emphasizes the equilibrium between economic benefits and ecological responsibilities. This research provides a scientific basis for the strategic planning and management of IES in zero-carbon parks, offering valuable insights for project managers and decision-makers in prioritizing resources across different project stages to achieve sustainable development. By addressing the current research gap, the study not only advances the understanding of IES in zero-carbon parks but also contributes practical guidance for achieving global carbon reduction goals.

The development of green farmhouse technology is crucial for advancing sustainable agricultural practices in China. However, the comprehensive promotion and effective implementation of green farmhouse construction are significantly hindered by the underdevelopment and immaturity of the required technologies. This study aims to identify and analyze the key factors that impede the development of green farmhouse technology and to elucidate the interrelationships among these factors. A systematic literature review was conducted to determine the primary barriers to green farmhouse technology development. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was employed to examine the interdependencies among these factors, providing insight into their mutual influence and centrality. Subsequently, Interpretive Structural Modeling (ISM) was applied to establish a hierarchical structure, revealing the multi-level relationships among the identified barriers. Finally, the Multiplication of Cross-Impact Matrices (MICMAC) analysis was utilized to further categorize the factors based on their driving power and dependence. The findings indicate that the development of green building materials, research and development (R&D) funding, and technological expertise are the core factors impeding the advancement of green farmhouse technology. These barriers were classified into six hierarchical levels and grouped into four categories: autonomous, dependent, linked, and independent factors. Through the combined application of DEMATEL, ISM, and MICMAC, a comprehensive understanding of the hierarchical structure and the interrelationships among these barriers was achieved. The factors were further categorized into three groups: budget and funding constraints, green farmhouse technology R&D challenges, and technology promotion and selection obstacles. The insights derived from this study provide a theoretical foundation for developing strategies to overcome these impediments, thereby facilitating the broader adoption of green farmhouse technology in China.

Environmental challenges are increasingly addressed through movements that promote environmental care and awareness. Consumers with a high degree of environmental consciousness are more inclined to purchase environmentally friendly or “green" products, perceiving these purchases as a contribution to environmental sustainability. This research aims to analyze the relationship between purchasing decisions for green products and the factors that influence them, further ensuring the stability of findings in environmentally friendly marketing in the context of company development to assess long-term stability. The research utilizes two methodologies: Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is employed to identify and quantify the relationships between green product purchasing decisions and key influencing factors, including green product knowledge, consumer perception, and perceived price. Meanwhile, dynamic system simulation is used to measure the stability and evolution of green product purchasing decisions over time. The findings reveal that the relationships between these influencing variables are statistically significant and demonstrate a stable trend. The dynamic simulation indicates that the expected values for green product purchasing decisions are consistently achieved annually, reaching a stable equilibrium within a decade. These outcomes provide valuable insights for designing marketing strategies that enhance consumer awareness of green products and assist in decision-making processes, thereby promoting sustainable consumer behavior. The practical implications of this research are twofold: it offers strategic guidance for companies aiming to market green products effectively and provides consumers with a framework to make informed purchasing decisions that align with environmental sustainability goals.