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Journal articles on the topic 'Circular metrics'
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1
FARACH, MARTIN. "Recognizing Circular Decomposable Metrics." Journal of Computational Biology 4, no. 2 (1997): 157–62. http://dx.doi.org/10.1089/cmb.1997.4.157.
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Lopes, Eliana de Jesus, Leandra Silvestre da Silva Lima, María Alejandra Maldonado Bonilla, and Marina Bouzon. "Systematic Review of the Circular Economy Performance Assessment System Under International Management Paradigms." Revista de Gestão Social e Ambiental 18, no. 9 (2024): e05664. http://dx.doi.org/10.24857/rgsa.v18n9-013.
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Objective: To present a Systematic Literature Review (SLR) on Performance Evaluation in the Circular Economy (PECE), addressing its temporal evolution and critically analyzing the metrics found in empirical studies. Theoretical Framework: The research starts from theoretical contributions on the characteristics of a metric and the levels of performance assessment systems, compared with the evolution of performance assessment in the management of natural resources until we reach the circular economy. Method: Utilization of Systematic Literature Review following the Knowledge Development Process-Constructivist approach (ProKnow-C), assessing secondary data from articles comprising the Research Portfolio (RP). Results and Discussion: The literature presents a variety of circularity metrics at different scales, yet there is a predominance of individual metrics and a lack of comprehensive focus on Performance Evaluation Systems (PES). Research Implications: Identifies the need for more comprehensive and integrative metrics aligned with CE principles and capable of encompassing multiple levels of action. Future research has the potential to significantly enrich society by exploring the development of more comprehensive metrics, considering the interaction between levels of circularity and environmental performance. Originality/Value: Highlights the growing concern with metrics in the Circular Economy (CE), identifies gaps in understanding the full impacts of each approach in the supply chain, and underscores the need for more robust and integrative metrics aligned with CE principles.
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Venturini, Sergio. "Intrinsic metrics in complete circular domains." Mathematische Annalen 288, no. 1 (1990): 473–81. http://dx.doi.org/10.1007/bf01444542.
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Ioan, Adascalitei. "Security metrics importance." International Journal of Arts and Social Science 3, no. 3 (2023): 149–53. https://doi.org/10.5281/zenodo.7721353.
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Digital security has continually been a difficulty since the looks of PCs and furthermore the online anyway it's increasingly significant nowadays. With masses of dangers concerning realities insurance tormenting all-circular the business association and advanced scene, it's required for organizations to own the perfect digital security measurements in region to assist them have a look at if their digital assurance endeavors are viable or not.
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Chávez, Newton Mayer Solórzano, Víctor Arturo Martínez León, Alexandre Henrique Rodrigues Filho, and Marcelo Almeida de Souza. "Geometry of a navigation problem: the $\lambda-$Funk Finsler Metrics." Ciência e Natura 47 (March 14, 2025): e88467. https://doi.org/10.5902/2179460x88467.
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We investigate the travel time in a navigation problem from a geometric perspective, with respect to a new class of Finsler metrics. We present the λ−Funk Finsler Metrics. The setting involves an open disk centered at the origin, representing a circular lake perturbed by a symmetric wind flow proportional to the distance from the origin with proportionality factor λ. The Randers metric, which is an important Finsler metric, derived from this physical problem, generalizes the well-known Euclidean metric (λ = 0) on the Cartesian plane and the Funk metric on the unit disk (λ = 1). We obtain the formula for distance, or traveltime, from point to point, and the circumference equations. In addition, we obtain the distance formulas from point to line and vice versa.
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Saidani, Michael, Tetiana Shevchenko, Zahra Shams Esfandabadi, et al. "The future of circular economy metrics: Expert visions." Resources, Conservation and Recycling 205 (June 2024): 107565. http://dx.doi.org/10.1016/j.resconrec.2024.107565.
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Blanco, Roberto Fernández. "The probability circular ruler “PCR” (process safety metrics)." Process Safety Progress 35, no. 2 (2016): 124–36. http://dx.doi.org/10.1002/prs.11817.
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Chang, Ching-Ting, and Ming-Chung Chou. "Comparison of Non-Uniform Image Quality Caused by Anode Heel Effect between Two Digital Radiographic Systems Using a Circular Step-Wedge Phantom and Mutual Information." Entropy 24, no. 12 (2022): 1781. http://dx.doi.org/10.3390/e24121781.
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The purpose of this study was to compare non-uniform image quality caused by the anode heel effect between two radiographic systems using a circular step-wedge (CSW) phantom and the normalized mutual information (nMI) metric. Ten repeated radiographic images of the CSW and contrast-detail resolution (CDR) phantoms were acquired from two digital radiographic systems with 16- and 12-degree anode angles, respectively, using various kVp and mAs. To compare non-uniform image quality, the CDR phantom was physically rotated at different orientations, and the directional nMI metrics were calculated from the CSW images. The directional visible ratio (VR) metrics were calculated from the CDR images. Analysis of variance (ANOVA) was performed to understand whether the nMI metric significantly changed with kVp, mAs, and orientations with Bonferroni correction. Mann–Whitney’s U test was performed to compare the metrics between the two systems. Contrary to the VR metrics, the nMI metrics significantly changed with orientations in both radiographic systems. In addition, the system with the 12-degree anode angle exhibited less uniform image quality compared to the system with the 16-degree anode angle. A CSW phantom using the directional nMI metric can be significantly helpful to compare non-uniform image quality between two digital radiographic systems.
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Vijay, Veer Singh Dhillon. "Evaluating Anticipated Inventory Return Rates: Analysis of Circular Economy Metrics." Young Researcher S14, no. 1B (2025): 147–53. https://doi.org/10.5281/zenodo.14857402.
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<em>This research explores the role of inventory management in the circular economy, focusing on how return inventory rates affect the sustainability and profitability of supply chain management. The present study proposes an Economic Production Quantity (EPQ) model with dual-market demand, recoverable items, external procurement, and circular economy indicators. A mixed-methods approach including quantitative surveys and qualitative interviews was employed to collect insights from 90 industry experts across the fashion and technology sectors. The results indicate that a majority of the respondents have high return rates of 91-95%, prefer a low percentage of inventory floats, and expect fast processing of returns with most respondents expecting a velocity rate to be above 90%. Furthermore, respondents had an overwhelming desire to limit the write-offs to 2% of dispatched inventory value, maintaining the order-to-deliver cycles as short as possible, and making cost avoidance in the range of Rs. 9 crores per annum. Such a study highlights the effectiveness of good supply chain management practices for achieving circular economy goals such as reducing waste and improving economic value. The findings are beneficial for firms looking to align their inventory policies with circular economy objectives to ensure sustainable and profitable business operations.</em>
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Cano Godoy, Fernando Arafat, Juan Carlos Arriaga Rodríguez, and Celia Hernández Diego. "Las métricas de los residuos sólidos urbanos en el marco de la economía circular." Revista Teoría y praxis 31 (June 23, 2023): 2–9. http://dx.doi.org/10.22403/uqroomx/typ31/01.
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Los residuos sólidos urbanos son un grave problema en el planeta hoy en día. Las instituciones, los centros de investigación, los gobiernos y la sociedad buscan constantemente soluciones alternativas a largo plazo para mejorar la eficiencia en la gestión, el reciclaje y la eliminación de residuos. Sin embargo, las métricas y los puntos de referencia utilizados para capturar el problema, evaluar las causas fundamentales de la acción y sugerir alternativas son limitados, fragmentados y, a menudo, poco prácticos. En este contexto, la economía circular se convierte en una de las alternativas más innovadoras y sostenibles para enfrentar los principales problemas de residuos sólidos urbanos y desarrollar alternativas. Por tal motivo, la presente investigación tiene como objetivo hacer una revisión de las métricas utilizadas en la economía circular de residuos sólidos urbanos en las ciudades mediante el análisis bibliográfico de fuentes secundarias. En primer lugar, se hace una aproximación teórico-conceptual de la economía circular y la política cero residuos. En seguida, se exploran las principales metodologías para valorar la economía circular en sociedades urbanas. Finalmente, se considera que las métricas de la economía circular siguen en desarrollo y que la mayoría de ellas están orientadas a nivel industrial. Además, los sistemas de indicadores requieren un mayor desarrollo para capturar todos los elementos de la economía circular y proporcionar una comprensión sólida de la eficacia de las políticas.
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Chulakumara, W. M. S., and S. C. Thushara. "Assessing Circular Economy Readiness Factors: Empirical Insights from a Developing Nation." Journal of Business and Technology 8, no. 1 (2024): 69–88. http://dx.doi.org/10.4038/jbt.v8i1.111.
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The Circular Economy concept has gained popularity among both researchers and practitioners. However, a comprehensive methodology for assessing a company's Circular Economy Readiness is lacking. Current assessment procedures often lack clarity in terms of metric and indicator selection. To bridge this gap, this paper introduces a novel model that integrates Circular Economy Readiness factors. To address Circular Economy Readiness in developing nations, this study amalgamates national, organizational, and individual readiness factors into a unified model, drawing from recent literature. Readiness for change models and frameworks from selected publications are synthesized to establish a comprehensive conceptual model for Circular Economy Readiness. Five Individual Readiness factors, twelve Organizational Readiness factors, and one factor under National Readiness are identified. These factors analyze CER readiness levels. The model is tested on Colombo Stock Exchange-listed companies, yielding practical insights for policymakers and practitioners to design and implement effective circular economy strategies. The study's findings can be transformed into metrics to gauge CER in developing countries and perhaps in other nations. By comprehensively investigating factors influencing CER across levels and sectors, this research empowers policymakers and practitioners to devise strategies that facilitate the transition to a circular economy.
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Domenech, Teresa, and Aiduan Borrion. "Embedding Circular Economy Principles into Urban Regeneration and Waste Management: Framework and Metrics." Sustainability 14, no. 3 (2022): 1293. http://dx.doi.org/10.3390/su14031293.
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In a highly urbanised world, cities have become main centers of resource consumption and generation of waste. The notion of the circular economy (CE) identifies strategies for slowing and narrowing resource use through the prevention of waste, improvement of resource use, and substitution of the use of primary resources with recovered materials (and energy). The literature has recently started to explore the concept of circular cities, and a number of cities around the globe have adopted circular economy strategies. Urban regeneration can play a critical role in enabling more circular loops of resources and contribute to more sustainable urban environments; however, there is a lack of contributions in the literature that explore the circularity of urban regeneration projects. The aim of this research is to address this gap by providing a framework and metrics to embed circular economy principles into urban regeneration. The proposed framework and set of metrics are then applied to a case study in West London to quantitatively assess CE implications and point to opportunities to increase circularity. Three main scenarios are developed to assess resource impacts of different waste strategies. The maximizing recycling scenario suggests that over 65% recycling and just under 35% energy recovery could be achieved for the area. However, findings suggest potential trade-offs between strategies centered around energy recovery from waste and strategies that prioritise recycling of recyclable fractions from waste. The three scenarios are then assessed against the CE metrics proposed. Again, here, ‘maximising recycling’ better aligns with the proposed CE metrics and contributes to cutting around 50% of GHG emissions associated with management/disposal of residual waste while increasing opportunities for resource recovery. Finally, some conclusions are drawn pointing to pathways to maximise optimal resource use and infrastructural provision in urban regeneration.
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Chen, Chun-Chih, and Yu-Shing Chang. "Leveraging Circular Economy Metrics for Data-Driven Forecasting of Solid Waste Production in Europe." Sustainability 16, no. 3 (2024): 1017. http://dx.doi.org/10.3390/su16031017.
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This study integrates circular economy (CE) metrics with machine learning techniques, specifically XGBoost and Shapley additive explanations (SHAP), to forecast municipal solid waste (MSW) in the EU, analyzing data from 2010 to 2020. It examines key economic and consumption indicators, including GDP per capita and energy consumption, along with CE metrics such as resource productivity, the municipal waste recycling rate, and the circular material use rate. The model demonstrates high predictive accuracy, with an R2 of 99% for in-sample data and 75% for out-of-sample data. The results indicate a significant correlation between a higher GDP per capita and an increased gross municipal waste per capita (GMWp). Conversely, lower energy consumption is associated with reduced GMWp. Notably, the circular material use rate emerges as a crucial factor for sustainability, with increased use significantly decreasing the GMWp. In contrast, a higher resource productivity correlates with an increased GMWp, suggesting complex implications for waste generation. The recycling rate, while impactful, shows a more modest effect compared to the other factors. The culminating insights from this study emphasize the need for sustainable, integrated waste management and support the adoption of circular economy-aligned policies. They underscore the efficacy of merging CE metrics with advanced predictive models to bolster regional sustainability efforts.
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O. Sales, Frederico, Yelco Marante, Alex B. Vieira, and Edelberto Franco Silva. "Energy Consumption Evaluation of a Routing Protocol for Low-Power and Lossy Networks in Mesh Scenarios for Precision Agriculture." Sensors 20, no. 14 (2020): 3814. http://dx.doi.org/10.3390/s20143814.
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Sensor nodes are small, low-cost electronic devices that can self-organize into low-power networks and are susceptible to data packet loss, having computational and energy limitations. These devices expand the possibilities in many areas, like agriculture and urban spaces. In this work, we consider an IoT environment for monitoring a coffee plantation in precision agriculture. We investigate the energy consumption under low-power and lossy networks considering three different network topologies and an Internet Engineering Task Force (IETF) standardized Low-power and Lossy Network (LLN) routing protocol, the Routing Protocol for LLNs (RPL). For RPL, each secondary node selects a better parent according to some Objective Functions (OFs). We conducted simulations using Contiki Cooja 3.0, where we considered the Expected Transmission Count (ETX) and hop-count metric (HOP) metrics to evaluate energy consumption for three distinct topologies: tree, circular, and grid. The simulation results show that the circular topology had the best (lowest) energy consumption, being 15% better than the grid topology and 30% against the tree topology. The results help the need to improve the evolution of RPL metrics and motivate the network management of the topology.
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Betti, Gianni, Francesca Gagliardi, Andrea Mecca, Angelo Riccaboni, and Cristiana Tozzi. "Sustainability and Circularity of the Agri-food Systems: How to Measure It? A First Attempt on the Italian System." Sustainability 17, no. 7 (2025): 3169. https://doi.org/10.3390/su17073169.
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The agri-food sector is undergoing profound transformations driven by ecological and digital transitions, as well as evolving consumer and nutritional choices. These shifts pose significant challenges but also open new opportunities for businesses to enhance sustainability and competitiveness through circular economy principles. In response, Spoke 9 of the National Agritech Center (PNRR) has launched a survey to analyze agri-food companies and sustainability practices and promote circular strategies. A large-scale survey conducted in early 2024 gathered data from 3002 agri-food companies, covering 20 Italian regions and six major supply chains (wine, olive oil, dairy, milk, fruit and vegetables, and beekeeping). The study is the first attempt in Italy to get metrics on these topics from agri-food companies, and it provides a comprehensive assessment of circular economy practices in the sector. The key objectives of the work are as follows: (1) developing integrated sustainability indicators; (2) sector-specific circular metrics; (3) identifying best practices and gaps; (4) supporting policy and decision-making; and (5) benchmarking and monitoring.
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Mirletz, Heather, Silvana Ovaitt, Seetharaman Sridhar, and Teresa M. Barnes. "Prioritizing circular economy strategies for sustainable PV deployment at the TW scale." EPJ Photovoltaics 15 (2024): 18. http://dx.doi.org/10.1051/epjpv/2024015.
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Global decarbonization requires an unprecedented scale-up of photovoltaic (PV) manufacturing and deployment. The material demand and eventual end of life management associated with multi-TW scale deployment poses many challenges. Circular Economy (CE) and it's associated R-Actions (Reduce, Reuse, Recycle) have been proposed to mitigate end of life management and material sourcing concerns. However, CE metrics typically focus on a single product and only consider mass, excluding energy flows. This work leverages the PV in Circular Economy (PV ICE) tool to quantify the deployment, mass, and energy impacts of R-Actions and proposed sustainable PV designs in the context of achieving energy transition deployment goals (75 TW in 2050). 13 module scenarios are established and evaluated across 6 capacity, mass and energy metrics to identify tradeoffs and priorities. We find that increasing module efficiency can reduce near-term material demands up to 30% and improve energy metrics by up to 9%. Material circularity (recycling) can minimize lifecycle wastes and reduce material demands at the cost of higher energy demands. Increasing module lifetime, including reliability improvements and reuse strategies, is effective at reducing both material (>10%) and energy demands (24%). Uniquely, lifetime improvements maximize benefits and minimize the harms across all six metrics while achieving multi-TW scale deployment.
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AZUKAWA, Kazuo. "Two intrinsic pseudo-metrics with pseudoconvex indicatrices and starlike circular domains." Journal of the Mathematical Society of Japan 38, no. 4 (1986): 627–47. http://dx.doi.org/10.2969/jmsj/03840627.
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Parchomenko, Alexej, Dirk Nelen, Jeroen Gillabel, and Helmut Rechberger. "Measuring the circular economy - A Multiple Correspondence Analysis of 63 metrics." Journal of Cleaner Production 210 (February 2019): 200–216. http://dx.doi.org/10.1016/j.jclepro.2018.10.357.
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Chaitongdee, Thunchanok, Wuttichai Srisodaphol, Oktsa Rahmashari, Benjawan Rattanawong, and Khanuengnij Prakhammin. "Enhanced Outlier Detection in Linear-Circular Regression Using Circular Distance and Mean Resultant Length." Statistics, Optimization & Information Computing 14, no. 1 (2025): 454–68. https://doi.org/10.19139/soic-2310-5070-2459.
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In the study of outlier identification in linear-circular regression, two new methods are proposed. By calculating the circular distance of each erroneous value and using the mean resultant length for outlier identification, these methods aim to enhance the precision and reliability of outlier detection. Their effectiveness will be assessed through comprehensive simulations on datasets with and without outlier contamination, comparing them with the previous method. Additionally, the methods were tested on real-world data, specifically wind speed and wind direction data, to further validate their practical applicability. Three metrics are used to evaluate their performance: the probability of correctly identifying all outliers, the masking effect, and the swamping effect. While occasional misclassification of inliers as outliers is possible, the results indicate that both proposed methods demonstrate strong overall performance.
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Alahmadi, Mazin. "A Deep Learning-Based Ensemble Framework to Predict IPOs Performance for Sustainable Economic Development." Sustainability 17, no. 3 (2025): 827. https://doi.org/10.3390/su17030827.
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Addressing resource scarcity and climate change necessitates a transition to sustainable consumption and circular economy models, fostering environmental, social, and economic resilience. This study introduces a deep learning-based ensemble framework to optimize initial public offering (IPO) performance prediction while extending its application to circular economy processes, such as resource recovery and waste reduction. The framework incorporates advanced techniques, including hyperparameter optimization, dynamic metric adaptation (DMA), and the synthetic minority oversampling technique (SMOTE), to address challenges such as class imbalance, risk-adjusted metric enhancement, and robust forecasting. Experimental results demonstrate high predictive performance, achieving an accuracy of 76%, precision of 83%, recall of 75%, and an AUC of 0.9038. Among ensemble methods, Bagging achieved the highest AUC (0.90), outperforming XGBoost (0.88) and random forest (0.75). Cross-validation confirmed the framework’s reliability with a median AUC of 0.85 across ten folds. When applied to circular economy scenarios, the model effectively predicted sustainability metrics, achieving R² values of 0.76 for both resource recovery and waste reduction with a low mean absolute error (MAE = 0.11). These results highlight the potential to align financial forecasting with environmental sustainability objectives. This study underscores the transformative potential of deep learning in addressing financial and sustainability challenges, demonstrating how AI-driven models can integrate economic and environmental goals. By enabling robust IPO predictions and enhancing circular economy outcomes, the proposed framework aligns with Industry 5.0’s vision for human-centric, data-driven, and sustainable industrial innovation, contributing to resilient economic growth and long-term environmental stewardship.
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Du, Yongbin, Yunlong Liu, and Xiangdong Zhang. "Spinning particle dynamics and the innermost stable circular orbit in covariant loop quantum gravity." Journal of Cosmology and Astroparticle Physics 2025, no. 05 (2025): 045. https://doi.org/10.1088/1475-7516/2025/05/045.
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Abstract In this paper, we investigate the motion of spinning particles in the background of covariant loop quantum gravity black holes, focusing on two distinct effective metric solutions. Both metrics incorporate a quantum parameter ζ, which quantifies the corrections from loop quantum gravity. When ζ approaches zero, the spacetime reduces to the classical Schwarzschild solution. Using the pole-dipole approximation, we derive the equations of motion for spinning particles, accounting for the spin-curvature coupling. Our analysis reveals significant deviations in the behavior of the Innermost Stable Circular Orbit (ISCO) due to quantum effects. In the first effective metric, as ζ increases, the ISCO's radial position shifts, and for sufficiently large values of ζ, the ISCO disappears, allowing particles to hover above the black hole. For non-spinning particles, the mass-to-energy conversion efficiency also decreases as ζ increases. In contrast, in the second metric, ISCOs persist even for large values of ζ, albeit with a more restrictive spin range. Moreover, only when the spin is nonzero do various ISCO parameters exhibit dependence on ζ. These findings highlight the impact of loop quantum gravity corrections on the dynamics of spinning particles.
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Shoshin, A. V., and E. A. Shvets. "Veiling glare removal: synthetic dataset generation, metrics and neural network architecture." Computer Optics 45, no. 4 (2021): 615–26. http://dx.doi.org/10.18287/2412-6179-co-883.
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In photography, the presence of a bright light source often reduces the quality and readability of the resulting image. Light rays reflect and bounce off camera elements, sensor or diaphragm causing unwanted artifacts. These artifacts are generally known as "lens flare" and may have different influences on the photo: reduce contrast of the image (veiling glare), add circular or circular-like effects (ghosting flare), appear as bright rays spreading from light source (starburst pattern), or cause aberrations. All these effects are generally undesirable, as they reduce legibility and aesthetics of the image. In this paper we address the problem of removing or reducing the effect of veiling glare on the image. There are no available large-scale datasets for this problem and no established metrics, so we start by (i) proposing a simple and fast algorithm of generating synthetic veiling glare images necessary for training and (ii) studying metrics used in related image enhancement tasks (dehazing and underwater image enhancement). We select three such no-reference metrics (UCIQE, UIQM and CCF) and show that their improvement indicates better veil removal. Finally, we experiment on neural network architectures and propose a two-branched architecture and a training procedure utilizing structural similarity measure.
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Hapuwatte, Buddhika M., K. Daniel Seevers, and I. S. Jawahir. "Metrics-based dynamic product sustainability performance evaluation for advancing the circular economy." Journal of Manufacturing Systems 64 (July 2022): 275–87. http://dx.doi.org/10.1016/j.jmsy.2022.06.013.
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Sucozhañay, Gabriela, Iván Vidal, and Paúl Vanegas. "Towards a Model for Analyzing the Circular Economy in Ecuadorian Companies: A Conceptual Framework." Sustainability 14, no. 7 (2022): 4016. http://dx.doi.org/10.3390/su14074016.
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A successful implementation of a CE requires an appropriate comprehension of its conceptual framework and the identification of the elements that composed it. However, there is still no consensus on a unique CE definition, which makes it difficult for companies to adopt circular practices in their business models. In this context, this study proposes a CE framework based on four fundamental elements: principles, drivers, stakeholders and strategies, which was complemented by circular-organization-oriented metrics. Then, local case studies were used to assess the implementation of CE strategies in Ecuadorian companies. Among the identified elements, it was found that there are general action lines that facilitate the understanding of the CE. On the other hand, the majority of elements and metrics are oriented toward the production and end-of-life stages, while extraction, design, use, marketing and distribution are less considered. Furthermore, although environmental, economic and social aspects are considered, the latter are mostly limited to employment generation. Finally, for the local case studies it was observed that the current adoption of circular practices in companies derives from the incorporation of the sustainability approach instead of a structured and systematic implementation of CE strategies.
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Oladapo, Bankole I., Mattew A. Olawumi, and Francis T. Omigbodun. "AI-Driven Circular Economy of Enhancing Sustainability and Efficiency in Industrial Operations." Sustainability 16, no. 23 (2024): 10358. http://dx.doi.org/10.3390/su162310358.
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This study investigates integrating circular economy principles—such as closed-loop systems and economic decoupling—into industrial sectors, including refining, clean energy, and electric vehicles. The primary objective is to quantify the impact of circular practices on resource efficiency and environmental sustainability. A mixed-methods approach combines qualitative case studies with quantitative modelling using the Brazilian Land-Use Model for Energy Scenarios (BLUES) and Autoregressive Integrated Moving Average (ARIMA). These models project long-term trends in emissions reduction and resource optimization. Significant findings include a 20–25% reduction in waste production and an improvement in recycling efficiency from 50% to 83% over a decade. Predictive models demonstrated high accuracy, with less than a 5% deviation from actual performance metrics, supported by error metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). Statistical validations confirm the reliability of these forecasts. The study highlights the potential for circular economy practices to reduce reliance on virgin materials and lower carbon emissions while emphasizing the critical role of policy support and technological innovation. This integrated approach offers actionable insights for industries seeking sustainable growth, providing a robust framework for future resource efficiency and environmental management applications.
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Ugrinov, Stefan, Dragan Ćoćkalo, Mihalj Bakator, Sanja Stanisavljev, and Mila Zakin. "Driving sustainable innovation in the textile industry through circular supply chain management." Tekstilna industrija 72, no. 2 (2024): 36–47. http://dx.doi.org/10.5937/tekstind2402036u.
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This study explores the integration of circular supply chain management (CSCM) principles within the textile industry to drive sustainable innovation. Through a systematic literature review, this paper aims to dissect the components of CSCM that contribute to sustainability, assess the practical outcomes of circular practices in textile companies, and identify the barriers and enablers affecting CSCM adoption. The research questions focus on understanding the characteristics of circular supply chains in the textile sector, the real-world application and outcomes of these principles, the factors influencing the adoption of circular practices, and the implications for sustainability metrics. This review aims to provide a comprehensive overview of how CSCM can foster environmental, economic, and social sustainability in the textile industry, offering insights for businesses, policymakers, and researchers seeking to promote a more sustainable future.
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Zubas, Aistis Rapolas, Marie Fischer, Estelle Gervais, Sina Herceg, and Sebastian Nold. "Combining circularity and environmental metrics to assess material flows of PV silicon." EPJ Photovoltaics 14 (2023): 10. http://dx.doi.org/10.1051/epjpv/2022031.
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A product made from virgin raw materials that ends up in a landfill presents a linear supply chain model. Today's photovoltaic (PV) industry is still largely based on this model. With the increasing volume of production, the raw materials required for it, and consequently the volume of waste, the application of circular economy principles in the PV sector can significantly increase its environmental efficiency. This study analyzes the impact of circularity on the supply chain of PV silicon used for PV module production. Four scenarios based on the combination of technological pathways and circularity options are created. Their evaluation is carried out by the methodologies of Material Circularity Indicator (MCI) and Life Cycle Assessment (LCA). The State-of-art case of the PV polysilicon supply chain corresponds to the MCI score of 0.54. Closed-loop circularity solutions provide the MCI score of 0.80 presenting the potential for a circular economy approach in the industry. LCA results show the reduction of environmental impact by 12% with improved circularity. The study presents the benefits of potential circularity options within the supply chain as well as the impact of technological development on the polysilicon demand.
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Pibal, Sophia Silvia, Rene Bittner, and Iva Kovacic. "A BIM-Based Framework for Life Cycle, Cost, and Circularity Data Integration in Environmental Impact Assessment." Sustainability 17, no. 6 (2025): 2656. https://doi.org/10.3390/su17062656.
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The AEC’s resource consumption and environmental impact necessitate a shift towards sustainable, circular practices. Building information modeling, powered by information technology, serves as a key enabler in this transition, offering life cycle data management capabilities from design to deconstruction. However, current BIM models lack embedded life cycle and circularity data, limiting their effectiveness for sustainability integration. This study addresses this gap by proposing a BIM object library framework that embeds life cycle, cost, and circularity data into objects and aims at enabling informed, sustainability-driven decision making. Through a proof of concept, this research demonstrates how embedding LCA and CE metrics into BIM objects enhances environmental and circular impact assessments. The framework aligns with standards such as ISO 14040 and EN 15804, EU Level(s), and United Nations’ 2030 Agenda for Sustainable Development. Limitations such as manual data integration and the need for specialized expertise occurred. However, this framework provides a scalable foundation for future research, including automating data integration, enhancing metric calculations, and developing interactive circularity dashboards to improve as a decision-support tool. This study advances circular BIM adoption, integrating sustainability principles into digital design workflows from the object level, while serving as a centralized repository for sustainability-driven decision making.
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Tucci, Fabrizio, Serena Baiani, Paola Altamura, Marco Antonini, and Laura Cutaia. "Circularity assessment in buildings and built environment: an integrated multiscale framework." IOP Conference Series: Earth and Environmental Science 1402, no. 1 (2024): 012020. http://dx.doi.org/10.1088/1755-1315/1402/1/012020.
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Abstract Circular transition requires systematic interventions in the built environment, particularly at the urban level, to close resource loops locally. The adoption of a design-operational approach focused on the life-cycle perspective and circularity, in line with the Green Building Approach, at the same time responds to resource scarcity and cuts CO2 emissions in the regeneration and integration of urban settlements. In this view, the dimension of the urban neighbourhood offers an ideal field of experimentation to test and scale up circular strategies and solutions, starting from the building scale. The contribution reports the results of an ongoing research whose aim is to propose a methodology to identify basic characteristics and performances allowing a neighbourhood to be defined as circular, and to promote their spread through design both in regeneration and new construction. Thus, the research addresses an important gap due to the limited number of studies on circularity metrics at the neighbourhood scale. From a methodological point of view, the research analyses a selection of case studies and, in parallel, existing circularity metrics at different levels, systematizing them with a set of indicators coming from sustainability protocols at the neighbourhood scale. The research therefore defines an integrated multiscale framework supporting circular design and assessment, valid at the building level but also - in a multiscale perspective - at the neighbourhood level, aiming to develop a support tool for public administrations and designers.
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Oliva, G. André, and Francisco Frutos-Alfaro. "Effects of the treatment of the mass quadrupole moment on ray-tracing applications for rapidly rotating neutron stars." Monthly Notices of the Royal Astronomical Society 505, no. 2 (2021): 2870–85. http://dx.doi.org/10.1093/mnras/stab1380.
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ABSTRACT The Neutron Star Interior Composition Explorer (NICER) mission has provided a unique opportunity to constrain the equation of state of neutron stars by using the technique of pulse-profile modelling. This technique requires accurate and efficient ray-tracing, that in turn requires a robust representation of the space–time around a neutron star. Several exact and approximate metrics have been proposed, and used, to perform ray-tracing around neutron stars, with both moderate and fast rotation. In this paper, we perform a comparison between several of these metrics, when used for ray-tracing. We calculate the shape of the neutron star as seen by a distant observer using two different surface formulae, the thermal spectrum and pulse profiles from circular and crescent-shaped hotspots, for four configurations of pulsars with rotation rates ranging from 622 to 1000 Hz, and using both a moderate and a stiff equation of state to include realistic and extreme cases. We find small differences between the metrics for rotation frequencies starting at ${\sim}700\, \mathrm{Hz}$ that could theoretically be used for constraining the quadrupole moment or the space–time models. We also determine the practicality of use of each metric in larger-scale applications such as pulse-profile modelling.
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Lokesh, Kadambari, Avtar S. Matharu, Ioannis K. Kookos, et al. "Hybridised sustainability metrics for use in life cycle assessment of bio-based products: resource efficiency and circularity." Green Chemistry 22, no. 3 (2020): 803–13. http://dx.doi.org/10.1039/c9gc02992c.
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Kalyanam, Ashok Kumar. "Integration of ESG Data in the Retail Sector (Essential for Sustainable business and Risk Management)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–6. https://doi.org/10.55041/ijsrem39956.
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The ESG data integrated into the retail industry have grown as an essential driver of sustainable business practices and robust risk management strategies. With sustainability concerns being highly critical for businesses around the world, retail organizations have taken up the ESG metrics as the yardstick to measure, report, and act upon environmental and social impact, ensuring good governance. It explains how AI-driven business intelligence integrates ESG factors for the improvement of sustainability metrics in the retail industry, focusing on how such integration supports the creation of sustainable business strategies and improves financial performance. It discusses challenges and opportunities in adopting sustainability reporting and ESG metrics, drawing on global evidence from retail performance-related studies and providing insight into how ESG adoption may influence operational efficiency, consumer trust, and long-term value creation. The study also underlines the role of AI in the automation of ESG factor scoring; it thus facilitates decision-making, transparency, and risk management. This paper also articulates how ESG integration relates to better performance of the firm within a transition towards the Circular Economy and vice versa in the retail sector. Keywords:ESG, Retail Sector, Sustainable Business Practices, AI-driven Integration, Risk Management, Sustainability Reporting, Circular Economy, Business Intelligence, Firm Performance, and Corporate Social Responsibility.
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Camón Luis, Enric, and Dolors Celma. "Circular Economy. A Review and Bibliometric Analysis." Sustainability 12, no. 16 (2020): 6381. http://dx.doi.org/10.3390/su12166381.
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The aim of the study is mapping the thematic structure of the circular economy research by mapping research outputs related to it. The methodology consists of developing a bibliometric study based on data obtained from the Web of Science and the Scimago Journal & Country Rank from 2016 to 2019. Some descriptive and bibliographic maps and strategic diagrams are shown; they are generated by SciMAT and VOSViewer. In addition, there is also a bibliometric analysis using alternative metrics. The analysis highlights a new perspective on the subject, analysing the concept from the business administration perspective and not only from the traditional viewpoint of the environmental sciences and industrial production. Finally, the analysis identifies future implications of the circular economy linked to the field of business management.
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Brändström, Johan, and Michael Saidani. "Comparison between circularity metrics and LCA: A case study on circular economy strategies." Journal of Cleaner Production 371 (October 2022): 133537. http://dx.doi.org/10.1016/j.jclepro.2022.133537.
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Hofmann, S., and A. Iosevich. "Circular averages and Falconer/Erdös distance conjecture in the plane for random metrics." Proceedings of the American Mathematical Society 133, no. 1 (2004): 133–43. http://dx.doi.org/10.1090/s0002-9939-04-07603-8.
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Dolgova, Olga I., and Anastasia Y. Nikitaeva. "Evaluation of the Potential for the Development of the Circular Industry in the Region: A New Approach." Recycling 10, no. 2 (2025): 38. https://doi.org/10.3390/recycling10020038.
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The construction of circular economic models in industry represents a critical mechanism for achieving sustainable development goals. However, data on the development of the circular economy, derived from diverse metrics and assessment methodologies, often yield contradictory results. In light of this, the study suggested a new approach to evaluating the potential for circularization. This approach entails identifying key factors influencing circularization and assessing their suitability for the implementation of circular models of different levels. The study identified factors and indicators of the potential for industrial circularization at the regional level. The paper proposed a classification of circular economy models that simultaneously take into account the length of the production cycle and the degree of proximity to the circular economy. The rating method is employed to evaluate the potential of a region for the successful implementation of circular economy models. The rating is calculated by constructing both a general integral circularization potential index and individual sub-indices. The application of this methodology enabled the development of a ranking of Russian regions based on their potential for industrial circularization. To make recommendations, the analyzed regions were divided into four groups, according to an evaluation of the circularization potential.
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Teixeira, Marco Antonio Casadei, Heidy Rodriguez Ramos, and Claudia Maria da Silva Bezerra. "CIRCULAR ECONOMY IN ENTREPRENEURIALBUSINESS MODELS: A SYSTEMATIC LITERATURE REVIEW." Revista Economia & Gestão 23, no. 66 (2023): 5–23. http://dx.doi.org/10.5752/p.1984-6606.2023v23n66p5-23.
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This study seeks toidentify emerging themes in Circular Economy (CE)amongentrepreneurial models in order to advance academic research on the topic. A systematic review of the literature was conductedusing Web of Science and Scopus which included84 publications up to 2022. Next, inclusion and exclusion criteriawere applied with the help of StArt (State of the Art through Systematic Review). The selected studies were then sorted into seven categoriesusing Atlas.ti:Industrial Symbiosis, Supply Chain, Product Life Cycle, Circular Business Models, Sharing Platform, Producer-Consumer, and Product-Service Systems. The classification of these business models can result in opportunities to aid in making the energy sector more sustainable, in value creation, in the extension of product life cycles, in the reuse of raw materials. It can contribute to the study of indicators and metrics,to product design,and to waste management,and can also generateopportunities for entrepreneurs. These categories therefore can contribute to developing businesses whichfocus on CE, togenerating opportunities for societymore broadly, to institutions, and to organizations and entrepreneurs in general.
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Lokesh, Kadambari, Avtar S. Matharu, Ioannis K. Kookos, et al. "Hybridised sustainability metrics for use in life cycle assessment of bio-based products: resource efficiency and circularity." Green Chemistry 22 (January 8, 2020): 803–13. https://doi.org/10.1039/C9GC02992C.
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The development, implementation and social acceptance of resource efficient, circular, bio-based economies require critical understanding of the whole supply chain from feedstock to end-use. Trust, transparency and traceability will be paramount. Though life cycle assessment (LCA) is a universally chosen approach to fulfil this purpose, the nature of data required and the depth of analysis lead to complex interpretations of the findings. Herein, a new set of hybridised, first-line sustainability indicators, drawn from the principles of green chemistry and resource (material and energy) circularity, are reported. These flexible, potentially stand-alone metrics are demonstrated via application to an exemplary comparative LCA, incorporating the hybridised indicators including hazardous chemical use, waste generated, resource circularity and energy efficiency, from the “gate-to-gate” stages for the bio-based case studies and their petro-derived commercial counterparts. These metrics were observed to quantify critical new information relevant to our transition to a circular economy, bridging significant gaps in contemporary environmental impact assessment methodologies. Appropriate additional evaluations that examine the performance of metrics, when the embedded resource efficiency and circularity strategies are omitted, have also been undertaken and reported. The data drawn from employing these methods are crucial to inform and encourage operational optimisation, transparency in sustainability reporting and practices to a significant number of value-chain actors including manufacturers, policy makers and consumers.
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Abdo, Adam Mohamed Ahmed, Xiongwen Zhao, Rui Zhang, and Yu Zhang. "Codebook metrics evaluation for millimeter wave communications by antenna array response and signal to noise ratio." ITM Web of Conferences 17 (2018): 03011. http://dx.doi.org/10.1051/itmconf/20181703011.
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Codebook design is a key point in beam-forming which is necessary for millimeter Wave (mmWave) communications to compensate its huge path loss. In our study, we demonstrate the benefits of the number of antenna elements for beamforming; we focus on the number of required beams to cover the whole circle with considering the available number of antenna elements. In addition to, we propose a new codebook structure based on unique phase states. Based on the Array Factor (AF) and Signalto-Noise Ratio (SNR), the proposed codebook is compared and evaluated with the uniform weighting codebook, circular array codebook, and IEEE802.15.3c standard codebook. The results show that the proposed codebook achieves SNR values and side-lobes cancel a bit better than IEEE802.15.3c, but higher peak and wider dynamic range of SNR and better array directivity compared with the uniform weighting and circular antenna codebooks. Thus, the proposed codebook is expected to improve signal quality and increases user throughput significantly.
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Wandl, Alexander, Marcin Dąbrowski, Gilda Berruti, et al. "A Holistic Self-Assessment Tool for Circular Economy Transitions in Cities and Regions." Europa XXI 44 (2024): 15–35. http://dx.doi.org/10.7163/eu21.2023.44.10.
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In the European context, cities and regions play a key role in boosting circularity and achieve the European Green Deal action plan mbition to ‘boost the efficient use of resources by moving to a clean, circular economy’. To this end, cities and regions will be instrumental in promoting circularity through engagement with key actors and integration of circular economy (CE) goals within their policies and spatial plans. To support this effort, it is essential to develop appropriate metrics and tools for evaluating the progress and transition towards a circular economy. Although numerous new assessment methodologies have been suggested (Corona et al., 2019), they generally focus on quantitatively assessing how circular a project, system, or business is, or on evaluating the extent to which circular strategies align with the principles of a circular economy. Current metrics rarely extend beyond material sustainability assessments, which means they often do not capture the complexity of the CE transition and lack a comprehensive, integrated perspective. In particular, what they omit are the spatial (Williams, 2020), the governance (Korhonen et al., 2018) and the social dimensions (Pitkänen et al., 2020). In this paper, we propose a holistic transition assessment tool developed and tested across several metropolitan regions, including Amsterdam, Naples, Łódź, Hamburg and Pécs, being at different stages of the circular economy transition. The final version of the tool was applied in two cases, the Amsterdam Metropolitan Area and the city of Tomaszów Mazowiecki. The tool focuses on five dimensions: (1) governance structures, (2) awareness, comprehensiveness of the sustainability assessment, (3) tools for measuring material stocks and flows as well as (4) for co-creation of solutions and strategies with stakeholders, and (5) circular built environment. The results of applying the tool in a series of workshops with regional CE stakeholders allow for exploring the following questions: What is the state of the transition towards CE in European urban regions from a holistic perspective? What hinders these transitions? And how to identify means to overcome those barriers? The assessment tool is of interest for regional and urban policy-makers, planners and stakeholders engaged in development of CE strategies and policies. What is more, the results presented in the paper allow for comparative insights into the state of transition towards CE and for drawing lessons on what it takes to nudge the development of regions and cities towards circularity.
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Rasheed, Kumeel, Syed Saad, Ahmad Zaland, et al. "Circular economy and critical barriers: Mapping the pathways and success metrics for sustainable circular success in industrialised South Asian developing nations." Results in Engineering 24 (December 2024): 102995. http://dx.doi.org/10.1016/j.rineng.2024.102995.
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Silva, Fernando A. F. C., Pedro A. G. Venegas, and Ramón O. M. Ahumada. "Injectivity of the Dirichlet-to-Neumann Functional and the Schwarzian Derivative." Anais da Academia Brasileira de Ciências 82, no. 4 (2010): 813–22. http://dx.doi.org/10.1590/s0001-37652010000400003.
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In this article, we show the relation between the Schwartz kernels of the Dirichlet-to-Neumann operators associated to the metrics g0 and h = F* (e²φ g0) on the circular annulus A R, and the Schwarzian Derivative of the argument function f of the restriction of the diffeomorphism F to the boundary of A R.
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Kushch, Volodymyr I., and Igor Sevostianov. "Orientation order parameters and effective conductivity of a 2-D solid with partially disordered array of circular inhomogeneities." Mathematics and Mechanics of Solids 26, no. 8 (2021): 1204–18. http://dx.doi.org/10.1177/10812865211024324.
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The paper focuses on the quantitative characterization of the microstructure of a two-dimensional heterogeneous solid with circular inhomogeneities that may vary from perfectly periodic arrangement to completely random one. This characterization is linked to the calculation of the effective conductivity of the material. The partially disordered system of disks is generated in the framework of the representative unit cell model using Metropolis algorithm. The orientation order metrics are taken as the structural parameters providing a quantitative measure of disorder, and their variation caused by the gradual disordering of the periodic system is assessed. The effective conductivity of the heterogeneous solid with partially disordered microstructure is evaluated by the multipole expansion method. It is shown that effective conductivity cannot be fully characterized by only one orientation order metric, and the required additional ones are identified.
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Sakthivel, K. M., and Alicia Mathew. "A Meaningful Construction of New Circular Distribution for Applications in Geomorphology." Indian Journal Of Science And Technology 18, no. 13 (2025): 1009–22. https://doi.org/10.17485/ijst/v18i13.4008.
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Objectives: This work introduces a novel circular probability distributionthe Double Truncated Wrapped Exponential (DTWE) distribution highlighting the importance of circular statistics with cyclical characteristics contrary to usual linear data. Methods: The DTWE distribution is developed using the principle of truncation on the wrapped exponential distribution, which satisfies the principles of circularity. The properties of the distribution, such as the trigonometric mean, skewness, and kurtosis, are derived to enhance interpretability. Parameter estimation is carried out using Maximum Likelihood Estimation, Least Squares, and Weighted Least Squares methods. The goodness-of-fit is carried out, which makes DTWE distribution comparable to other well-known circular probability models. Findings: The numerical results of the simulation study across sample sizes (𝑛 = 30, 50, 100, 1000) and parameter values (𝜃 = 0.5, 1, 2) demonstrate that the DTWE distribution achieves accurate and consistent parameter estimation. For 𝜃 = 0.5 and 𝑛 = 30, the key performance metrics, such as the bias, Mean Square Error (MSE), and standard deviation (SD) for MLE outperform the LS and WLS methods by approximately 20%. Similarly, for 𝜃 = 2 and 𝑛 = 1000, the MLE achieves greater consistency reducing the bias, MSE, and SD by more than 30%. Real world data analysis shows that the DTWE distribution captures the cyclical patterns in ecological and geological data perfectly and gives meaningful insights into directional behaviours. Novelty: This study introduces a novel truncationbased framework for constructing circular probability distributions. The new distribution provides a distinctive approach for evaluating the circular data in ecological and geological datasets. Keywords: Directional Statistics; Truncation; Exponential Distribution; Circular Distribution; MLE
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Kapoor, Kartik, Nikhil Sayi Amydala, Anubhav Ambooken, and Anne Scheinberg. "Measuring Circularity in Cities: A Review of the Scholarly and Grey Literature in Search of Evidence-Based, Measurable and Actionable Indicators." Sustainability 15, no. 19 (2023): 14302. http://dx.doi.org/10.3390/su151914302.
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Circularity in cities is key to Earth’s sustainable and resource-efficient future. In contrast to the broad framework of circular economy, circularity is a technical concept associated with avoiding disposal and prolonging the useful life of products and materials, and thereby extracting fewer resources. In search of metrics and indicators to measure the impacts of circular processes in cities in real time, the authors reviewed the literature on the circular economy and circularity, in search of evidence-based circularity indicators suitable for cities to use to benchmark the environmental and climate benefits of six waste prevention cascades. This paper reports on a systematic literature review using the PRISMA protocol to screen, evaluate, and review published and grey literature sources. From more than 15,000 papers screened, after application of criteria, fewer than 25 papers were found that presented evidence-based, measurable, and actionable indicators or indicator sets for benchmarking the performance of circular processes in cities. The authors concluded that the practical commitment to evidence-based tracking of circularity (in cities) is weak. Practical progress towards a circular economy and physical and economic circularity will require stakeholders to strengthen and test the very small number of indicators and indicator sets that are relevant and useful for cities and regions to use for measuring their progress towards becoming more circular, and increase evidence-based monitoring for circularity and the circular economy.
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Kholshevnikov, Konstantin V., Danila V. Milanov, and Anastasia S. Shchepalova. "The space of Keplerian orbits and a family of its quotient spaces." Vestnik of Saint Petersburg University. Mathematics. Mechanics. Astronomy 8, no. 2 (2021): 359–69. http://dx.doi.org/10.21638/spbu01.2021.215.
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Distance functions on the set of Keplerian orbits play an important role in solving problems of searching for parent bodies of meteoroid streams. A special kind of such functions are distances in the quotient spaces of orbits. Three metrics of this type were developed earlier. These metrics allow to disregard the longitude of ascending node or the argument of pericenter or both. Here we introduce one more quotient space, where two orbits are considered identical if they differ only in their longitudes of nodes and arguments of pericenters, but have the same sum of these elements (the longitude of pericenter). The function q is defined to calculate distance between two equivalence classes of orbits. The algorithm for calculation of ̺6 value is provided along with a reference to the corresponding program, written in C++ language. Unfortunately, ̺6 is not a full-fledged metric. We proved that it satisfies first two axioms of metric space, but not the third one: the triangle inequality does not hold, at least in the case of large eccentricities. However there are two important particular cases when the triangle axiom is satisfied: one of three orbits is circular, longitudes of pericenters of all three orbits coincide. Perhaps the inequality holds for all elliptic orbits, but this is a matter of future research.
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Hsiu-Chi Tseng, Hsiu-Chi Tseng, and King-Chu Hung Hsiu-Chi Tseng. "Robust Zero-Watermarking by Circular Features and 1-D NRDPWT Transformation." 電腦學刊 35, no. 1 (2024): 109–29. http://dx.doi.org/10.53106/199115992024023501008.
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<p>This paper introduces a secure and robust zero-watermarking framework that leverages the advantages of zero-watermarking, ensuring non-destructive modification of original images and unlimited capacity. The proposed method enables robust watermark embedding while preserving the original image. It employs a novel feature extraction approach using circular areas based on image radius, enhancing feature resilience. Additionally, applying one-dimensional non-recursive discrete periodized wavelet transform (1-D NRDPWT) converts feature values into phi, contributing to enhanced stability and robustness. Enhanced security is achieved through the use of Shuffle and Pseudo-Random Number Generator (PRNG). Experimental results, evaluated using metrics such as Bit Error Rate (BER) and Normalized Correlation (NC), validate the exceptional performance of this watermarking technique. These findings underscore the framework&rsquo;s robustness, security, reliability, and integrity against both general and geometric noise attacks, making it a secure and robust solution for modern digital image copyright protection. In summary, our method offers an effective defense against various noise attacks while ensuring the highest watermark quality without compromising the original image. It is a significant advancement in copyright protection applications.</p> <p>&nbsp;</p>
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Marco-Fondevila, Miguel, Darío Benito-Bentué, and Sabina Scarpellini. "“Old” financial instruments in “new” circular models: Applied environmental accounting in the banking sector for reporting in a circular economy." Revista de Contabilidad 26, Special (2023): 34–45. http://dx.doi.org/10.6018/rcsar.576251.
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The role of commercial banks and financial institutions has been described as crucial for the circular economy since they are key actors in financing companies and projects. The facilitating potential of some financial instruments managed by the financial sector has not been studied in connection to extending the circular economy in the environmental accounting framework. Particularly, the renting contracts service, which has been associated with more sustainable performance, shows interesting circular characteristics for servitization and the sharing economy. By studying the details of renting contracts of a financial institution over 18 years as a case study in Spain, this research demonstrates how this type of service, applied to vehicles, can render important benefits in terms of use of resources, environmental impact, energy efficiency and reduced carbon emissions. Measuring these quantitative impacts and reporting about them is important from an environmental accounting basis and in the framework of the European Union taxonomy for sustainable finance. The results obtained from the stakeholders’ perspective highlight the pivotal role of existing financial instruments and the need for new metrics for reporting linked to the servitization of the economy as a specific circular issue. This paper contributes to the academic literature by bringing empirical results to a still recent line of research. For practitioners, we provide innovative metrics for circular economy in the financial sector, and for policymakers, this research highlights the wider role of financial institutions in promoting circular economy within the sustainability framework. El papel de los bancos y las instituciones financieras ha sido calificado como crucial para la economía circular, como actores clave para financiar empresas y proyectos. El potencial facilitador de algunos instrumentos financieros gestionados por el sector financiero no ha sido estudiado en relación con el fomento de la economía circular en el marco de la contabilidad medioambiental. En particular, el servicio de renting, que se ha asociado a un rendimiento más sostenible, muestra interesantes características vinculadas a la economía circular y a la servitización de la economía. Analizando en detalle los contratos de renting de una entidad financiera durante 18 años como caso de estudio en España, este estudio demuestra cómo este tipo de servicios, aplicado a los vehículos, puede aportar importantes beneficios en cuanto al uso de recursos, impacto ambiental, eficiencia energética y reducción de emisiones de carbono. Medir cuantitativamente e informar acerca de estos impactos es relevante para la contabilidad medioambiental en el marco de la Taxonomía Europea de finanzas sostenibles. Los resultados obtenidos desde la perspectiva de los stakeholders destacan el papel fundamental de los instrumentos financieros existentes y la necesidad de nuevas métricas para el reporting vinculado a la servitización de la economía como un tema circular específico. Este trabajo contribuye a la literatura académica proporcionando resultados empíricos a una línea de investigación aún incipiente. Para los profesionales, se aportan métricas novedosas para la economía circular en el sector financiero, mientras que, para la definición de políticas de sostenibilidad, esta investigación pone de relieve el amplio papel de las instituciones financieras en la promoción de la economía circular.
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Shavkatov, Navruzbek, Dilora Abdurakhimova, Nasiba Sherkuziyeva, Sardor Omonov, and Madinakhon Rakhmedova. "Circular economy practices and their effect on corporate financial performance." Economic Annals-ХХI 207, no. 1-2 (2024): 4–9. https://doi.org/10.21003/ea.v207-01.
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In this study, we investigate the relationship between circular economy (CE) practices and financial performance in European manufacturing firms. A longitudinal analysis of 200 companies from 2018 to 2022 was conducted using a custom Circular Economy Index (CEI) and various financial metrics. Panel data regression analysis revealed a positive, statistically significant relationship between CEI and financial performance. A one-point increase in CEI was associated with increases of 0.152 percentage points in ROI, 0.087 in Gross Profit Margin, 0.063 in Net Profit Margin, and 0.203 in Total Shareholder Return. Lag analysis showed this relationship strengthened over time, with the effect on ROI increasing from 0.152 (no lag) to 0.225 (3-year lag). Slight diminishing returns were observed at very high levels of circular economy implementation. Subgroup analysis indicated stronger effects for larger firms, high-tech manufacturers, and companies in Northern Europe. Brand value and operational efficiency were identified as partial mediators. These findings provide robust evidence supporting the business case for circular economy transitions in manufacturing, with implications for managerial decision-making and policy development in sustainable manufacturing.
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Fu, Liu Qiang, and Hong Wei Zhang. "Dynamic Clustering Based on Quantum-Behaved Particle Swarm Optimization." Advanced Materials Research 798-799 (September 2013): 808–13. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.808.
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Most clustering algorithm require the number of cluster as a priori knowledge to input, and metrics based on Euclidean distance is good results with only circular clusters. An improved dynamic clustering algorithm was presented, which combines the quantum particle swarm algorithm with k-means algorithm by improving the encoding of quantum particles and the introduction of new distance metric rules. The algorithm has a quantum-behaved particle swarm global search capability. And In order to accelerate the convergence speed, the k-means algorithm is used to optimize every particle .Through the adjustment of the value of the fitness function, our algorithm can search for the optimal clustering number of clusters, so the number of clusters and centers are not subject to subjective factors. Extensive experiments verified the effectiveness of the algorithm.